Job Description Job Description Job Title: Class 1A, Controls Technician & Programmer Department: Engineering and Maintenance Reports To: Engineering & Maintenance Project Manager Position Type: Full-time, Regular Shift: Day, Swing, Night Location: Watsonville, CA FLSA Status: Non-exempt, Union Company Overview Since 1868, the Martinelli family has been producing award-winning apple juice. Located in the cool California Central Coast, the fertile Pajaro Valley produces the most flavorful apple varieties in the world. Since winning its first gold medal in 1890, Martinelli's has received more than fifty gold medals for product excellence. Distribution of Martinelli's Gold Medal products now extends to every state in the U.S. and globally. Job Summary The Controls Technician/Programmer is responsible for maintaining, troubleshooting, and optimizing the electrical control systems that support production equipment across the facility, including bottling lines and the filter department. This role provides technical expertise in PLC and HMI systems (primarily Allen-Bradley, as well as Siemens, Omron, and vendor-specific platforms), VFDs, servo drives, motion controls, and SCADA/industrial network systems to ensure reliable and efficient operation of machinery. The Controls Technician/Programmer will lead controls-related projects, including system modifications, panel adjustments, programming, and HMI interface development. They collaborate closely with engineering, maintenance, and production teams to integrate new or modified control systems seamlessly into existing equipment, driving continuous improvement and automation efficiency. Key responsibilities include diagnosing hardware and instrumentation issues, performing calibration and functional testing, maintaining accurate digital documentation, and supporting system upgrades to improve equipment performance, reliability, and safety. This position is critical to ensuring optimal operation of automation systems, supporting process improvements, and enabling high-performance production outcomes. Job Functions Troubleshoot and maintain all production electrical controls related equipment, systems and OT network devices to ensure maximum operational equipment effectiveness OEE. Assist in the proper operation and maintenance of Programmable Logic Controllers (PLC), Supervisory Control and Data Acquisition (SCADA), etc. Support the research, design, development, and installation of electrical control systems for production equipment and machinery. Contribute to managing projects to ensure they are completed on time, within budget, and meet customer requirements. Help maintain digital documentation of control systems, including programs, modifications, electrical design, schematics, and drawings. Stay updated on control hardware and software obsolescence and assist in necessary updates. Contribute to the establishment and maintenance of automation processes. Support a team of controls and programming technicians/mechanics in their daily tasks. Assist with organizing and participating in training sessions for the control team, maintenance personnel, and operators to ensure proper hardware and software usage. Provide regular updates and reports to senior management on the performance of the controls and programming team, including training progress, project updates, budget status, and any issues or risks. Collaborate with Maintenance Management and Production Supply Planner to help schedule manpower and resources for effective production and maintenance outcomes. Respond promptly to requests or emails from internal and external stakeholders, ensuring alignment of objectives, requirements, and project timelines. Assist other department heads in implementing strategies to improve process efficiency. Follow and help implement policies and procedures to ensure consistent and effective controls and programming practices across the organization. Adhere to Collective Bargaining Agreement, Plant Rules, Code of Safe Work Practices, and other applicable policies. Perform other assigned duties and responsibilities as directed by Management. Job Qualifications Minimum of five (5) years of experience working with industrial automation technology in a production or manufacturing environment. Proficiency with PLCs, primarily Allen-Bradley (ControlLogix, CompactLogix, RSLogix, Studio 5000), with working knowledge of Siemens or other vendor systems. Hands-on experience configuring and designing HMI systems, such as Allen-Bradley FactoryTalk View or Wonderware/AVEVA. Strong ability to troubleshoot, diagnose, and resolve complex control system issues, including hardware, software, and communication networks. Familiarity with Vision Systems (Cognex, Keyence) and integration with automation systems. Experience with motion control systems and actuators, including Allen-Bradley Servos, SEW, and Rexroth. Knowledge of VFDs, servo drives, and motion controllers for process and equipment optimization. Basic understanding of SCADA systems, industrial communication protocols (EtherNet/IP, Profibus, DeviceNet, Modbus), and control networks. Awareness of industry standards such as UL and CE for electrical control systems. Strong communication skills with the ability to explain technical concepts to colleagues across all organizational levels. Collaborative team player who actively participates in problem-solving and supports knowledge sharing within the group. Willingness to contribute to root cause failure analysis investigations and support continuous improvement initiatives. Ability to train maintenance personnel and operators on proper control system usage and troubleshooting. Strong organizational skills with the ability to prioritize maintenance activities, coordinate resources, and align with production needs. Commitment to following established safety protocols, procedures, and contingency plans to mitigate risks. Capable of performing relevant preventive and corrective maintenance activities on control systems and related electrical equipment. Must meet employment eligibility in the U.S. Be at least 18 years of age. Education Bachelor's degree in electrical engineering (preferred). Preferred Skills Experience in food manufacturing or agricultural goods processing industry. Bilingual/biliterate in English/Spanish. Company Standard Knowledge, Skills, and Abilities Ability to communicate effectively, both orally and in writing. Ability to establish and maintain effective and cooperative working relationships with Company staff and others contacted in the course of work. Ability to assume responsibility and exercise good judgment in making decisions within the scope of authority of the position. Ability to readily adapt to changing priorities and take direction from more than one staff member. Ability to think and work effectively under pressure and accurately complete tasks within established times. Ability to work in a fast-paced environment, to prioritize tasks, meet multiple deadlines and ensure that work is accomplished in the time frames required. Ability to be highly organized and provide careful attention to detail and accuracy. Ability to exercise individual initiative and discretion in confidential matters and to respect confidential matters. Physical Demands and Working Environment The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Ability to pass a background check, physical, and drug screen. Ability to stand and/or sit in front of and operate a computer for extended periods of time. Ability to bend, lift and carry objects of varying size weighing up to 40 pounds. Expected to be highly familiar with production operations, and to regularly visit all significant Company operations. Work is performed outdoors, production, manufacturing, and warehouse facilities. All Employees Are Expected To Comply with all Company safety requirements. Adhere to all Company policies and procedures. Benefits Upon meeting eligibility requirements, the Company offers the following: health insurance coverage, 401(k), Union pension, paid sick leave, paid vacation leave, and eight (8) paid holidays per year. Eligible employees may also make 401(k) elective deferral contributions and may elect a co-pay plan for health insurance coverage for eligible dependents. Disclaimer This job description is only a summary of the typical functions of the job, not an exhaustive or comprehensive list of all possible job responsibilities, tasks, and other duties as assigned. Equal Employment Opportunity Statement S. Martinelli & Company is an Equal Opportunity Employer (EOE). All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status.
08/05/2026
Full time
Job Description Job Description Job Title: Class 1A, Controls Technician & Programmer Department: Engineering and Maintenance Reports To: Engineering & Maintenance Project Manager Position Type: Full-time, Regular Shift: Day, Swing, Night Location: Watsonville, CA FLSA Status: Non-exempt, Union Company Overview Since 1868, the Martinelli family has been producing award-winning apple juice. Located in the cool California Central Coast, the fertile Pajaro Valley produces the most flavorful apple varieties in the world. Since winning its first gold medal in 1890, Martinelli's has received more than fifty gold medals for product excellence. Distribution of Martinelli's Gold Medal products now extends to every state in the U.S. and globally. Job Summary The Controls Technician/Programmer is responsible for maintaining, troubleshooting, and optimizing the electrical control systems that support production equipment across the facility, including bottling lines and the filter department. This role provides technical expertise in PLC and HMI systems (primarily Allen-Bradley, as well as Siemens, Omron, and vendor-specific platforms), VFDs, servo drives, motion controls, and SCADA/industrial network systems to ensure reliable and efficient operation of machinery. The Controls Technician/Programmer will lead controls-related projects, including system modifications, panel adjustments, programming, and HMI interface development. They collaborate closely with engineering, maintenance, and production teams to integrate new or modified control systems seamlessly into existing equipment, driving continuous improvement and automation efficiency. Key responsibilities include diagnosing hardware and instrumentation issues, performing calibration and functional testing, maintaining accurate digital documentation, and supporting system upgrades to improve equipment performance, reliability, and safety. This position is critical to ensuring optimal operation of automation systems, supporting process improvements, and enabling high-performance production outcomes. Job Functions Troubleshoot and maintain all production electrical controls related equipment, systems and OT network devices to ensure maximum operational equipment effectiveness OEE. Assist in the proper operation and maintenance of Programmable Logic Controllers (PLC), Supervisory Control and Data Acquisition (SCADA), etc. Support the research, design, development, and installation of electrical control systems for production equipment and machinery. Contribute to managing projects to ensure they are completed on time, within budget, and meet customer requirements. Help maintain digital documentation of control systems, including programs, modifications, electrical design, schematics, and drawings. Stay updated on control hardware and software obsolescence and assist in necessary updates. Contribute to the establishment and maintenance of automation processes. Support a team of controls and programming technicians/mechanics in their daily tasks. Assist with organizing and participating in training sessions for the control team, maintenance personnel, and operators to ensure proper hardware and software usage. Provide regular updates and reports to senior management on the performance of the controls and programming team, including training progress, project updates, budget status, and any issues or risks. Collaborate with Maintenance Management and Production Supply Planner to help schedule manpower and resources for effective production and maintenance outcomes. Respond promptly to requests or emails from internal and external stakeholders, ensuring alignment of objectives, requirements, and project timelines. Assist other department heads in implementing strategies to improve process efficiency. Follow and help implement policies and procedures to ensure consistent and effective controls and programming practices across the organization. Adhere to Collective Bargaining Agreement, Plant Rules, Code of Safe Work Practices, and other applicable policies. Perform other assigned duties and responsibilities as directed by Management. Job Qualifications Minimum of five (5) years of experience working with industrial automation technology in a production or manufacturing environment. Proficiency with PLCs, primarily Allen-Bradley (ControlLogix, CompactLogix, RSLogix, Studio 5000), with working knowledge of Siemens or other vendor systems. Hands-on experience configuring and designing HMI systems, such as Allen-Bradley FactoryTalk View or Wonderware/AVEVA. Strong ability to troubleshoot, diagnose, and resolve complex control system issues, including hardware, software, and communication networks. Familiarity with Vision Systems (Cognex, Keyence) and integration with automation systems. Experience with motion control systems and actuators, including Allen-Bradley Servos, SEW, and Rexroth. Knowledge of VFDs, servo drives, and motion controllers for process and equipment optimization. Basic understanding of SCADA systems, industrial communication protocols (EtherNet/IP, Profibus, DeviceNet, Modbus), and control networks. Awareness of industry standards such as UL and CE for electrical control systems. Strong communication skills with the ability to explain technical concepts to colleagues across all organizational levels. Collaborative team player who actively participates in problem-solving and supports knowledge sharing within the group. Willingness to contribute to root cause failure analysis investigations and support continuous improvement initiatives. Ability to train maintenance personnel and operators on proper control system usage and troubleshooting. Strong organizational skills with the ability to prioritize maintenance activities, coordinate resources, and align with production needs. Commitment to following established safety protocols, procedures, and contingency plans to mitigate risks. Capable of performing relevant preventive and corrective maintenance activities on control systems and related electrical equipment. Must meet employment eligibility in the U.S. Be at least 18 years of age. Education Bachelor's degree in electrical engineering (preferred). Preferred Skills Experience in food manufacturing or agricultural goods processing industry. Bilingual/biliterate in English/Spanish. Company Standard Knowledge, Skills, and Abilities Ability to communicate effectively, both orally and in writing. Ability to establish and maintain effective and cooperative working relationships with Company staff and others contacted in the course of work. Ability to assume responsibility and exercise good judgment in making decisions within the scope of authority of the position. Ability to readily adapt to changing priorities and take direction from more than one staff member. Ability to think and work effectively under pressure and accurately complete tasks within established times. Ability to work in a fast-paced environment, to prioritize tasks, meet multiple deadlines and ensure that work is accomplished in the time frames required. Ability to be highly organized and provide careful attention to detail and accuracy. Ability to exercise individual initiative and discretion in confidential matters and to respect confidential matters. Physical Demands and Working Environment The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Ability to pass a background check, physical, and drug screen. Ability to stand and/or sit in front of and operate a computer for extended periods of time. Ability to bend, lift and carry objects of varying size weighing up to 40 pounds. Expected to be highly familiar with production operations, and to regularly visit all significant Company operations. Work is performed outdoors, production, manufacturing, and warehouse facilities. All Employees Are Expected To Comply with all Company safety requirements. Adhere to all Company policies and procedures. Benefits Upon meeting eligibility requirements, the Company offers the following: health insurance coverage, 401(k), Union pension, paid sick leave, paid vacation leave, and eight (8) paid holidays per year. Eligible employees may also make 401(k) elective deferral contributions and may elect a co-pay plan for health insurance coverage for eligible dependents. Disclaimer This job description is only a summary of the typical functions of the job, not an exhaustive or comprehensive list of all possible job responsibilities, tasks, and other duties as assigned. Equal Employment Opportunity Statement S. Martinelli & Company is an Equal Opportunity Employer (EOE). All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status.
Job Description Job Description Automation Programmer Job description: We are seeking a highly skilled Automation Engnieer with 3+ years of experience in PLC and HMI programming to join our team. This role will focus on designing, programming, and integrating advanced control systems across diverse industries. The ideal candidate is detail-oriented, collaborative, and able to lead projects from programming through startup, troubleshooting, and ongoing support. Key Responsibilities Develop, program, and integrate control systems, including PLC, OIT, HMI, reporting, and alarming software. Design and implement PLC, OIT, and SCADA system programs. Perform troubleshooting and provide technical support for field control systems and process equipment. Independently conduct system startups and commissioning activities. Review and interpret control panel drawings, network diagrams, and I/O lists; identify and suggest corrections as needed. Collaborate in QC reviews, providing feedback related to programming best practices and philosophies. Prepare documentation and provide standard reports on project progress to the Programming Manager. Support peers and mentor junior team members where appropriate. Required Qualifications Associate's or Bachelor's degree 3+ experience in PLC/OIT/HMI programming or related automation engineering roles. Advanced proficiency in PLC programming languages (e.g., Ladder Logic, Function Block, Structured Text). Hands-on experience with HMI software; SCADA knowledge strongly preferred. Strong problem-solving, analytical, and organizational skills with attention to detail. Proven ability to work independently, manage multiple priorities, and meet deadlines within budget. Excellent communication and interpersonal skills, with the ability to work effectively with both colleagues and clients. Proficiency with the Microsoft Office Suite. What We Offer Competitive salary and benefits package. Professional growth opportunities in a collaborative team environment. Exposure to diverse, technically challenging projects. Supportive workplace culture with opportunities for mentorship and leadership. A dynamic, flexible culture, that promotes collaboration and professional/ personal growth of each team member. To be a part of a well-established team that values hard work, innovation & knows the value of its people. Coaching, mentoring helping team members realize their potential, aiding in defining goals and executing them. We are privately owned with an aggressive growth strategy; Making way for ample advancement opportunities to transition into operations and/or direct management. Competitive base package + bonus plan We have continuous training, and are firm believers that a strong, knowledgeable, well-trained staff is the reason we are at the top of our field, having continued success. Our goal as leaders is to provide value , value to our clients, vendors and more importantly to our team - YOU! Looking forward to getting to know you We are, and work with clients that are equal opportunity employers and considers all applicants for positions without regard to race, color, religion, gender, sexual orientation, age, national origin, disability, veteran status, or any other protected status.
08/05/2026
Full time
Job Description Job Description Automation Programmer Job description: We are seeking a highly skilled Automation Engnieer with 3+ years of experience in PLC and HMI programming to join our team. This role will focus on designing, programming, and integrating advanced control systems across diverse industries. The ideal candidate is detail-oriented, collaborative, and able to lead projects from programming through startup, troubleshooting, and ongoing support. Key Responsibilities Develop, program, and integrate control systems, including PLC, OIT, HMI, reporting, and alarming software. Design and implement PLC, OIT, and SCADA system programs. Perform troubleshooting and provide technical support for field control systems and process equipment. Independently conduct system startups and commissioning activities. Review and interpret control panel drawings, network diagrams, and I/O lists; identify and suggest corrections as needed. Collaborate in QC reviews, providing feedback related to programming best practices and philosophies. Prepare documentation and provide standard reports on project progress to the Programming Manager. Support peers and mentor junior team members where appropriate. Required Qualifications Associate's or Bachelor's degree 3+ experience in PLC/OIT/HMI programming or related automation engineering roles. Advanced proficiency in PLC programming languages (e.g., Ladder Logic, Function Block, Structured Text). Hands-on experience with HMI software; SCADA knowledge strongly preferred. Strong problem-solving, analytical, and organizational skills with attention to detail. Proven ability to work independently, manage multiple priorities, and meet deadlines within budget. Excellent communication and interpersonal skills, with the ability to work effectively with both colleagues and clients. Proficiency with the Microsoft Office Suite. What We Offer Competitive salary and benefits package. Professional growth opportunities in a collaborative team environment. Exposure to diverse, technically challenging projects. Supportive workplace culture with opportunities for mentorship and leadership. A dynamic, flexible culture, that promotes collaboration and professional/ personal growth of each team member. To be a part of a well-established team that values hard work, innovation & knows the value of its people. Coaching, mentoring helping team members realize their potential, aiding in defining goals and executing them. We are privately owned with an aggressive growth strategy; Making way for ample advancement opportunities to transition into operations and/or direct management. Competitive base package + bonus plan We have continuous training, and are firm believers that a strong, knowledgeable, well-trained staff is the reason we are at the top of our field, having continued success. Our goal as leaders is to provide value , value to our clients, vendors and more importantly to our team - YOU! Looking forward to getting to know you We are, and work with clients that are equal opportunity employers and considers all applicants for positions without regard to race, color, religion, gender, sexual orientation, age, national origin, disability, veteran status, or any other protected status.
Job Description Job Description Position: Programmable Logic Controller (PLC) Technician Department: Water & Sewer Utilities Reports To: Water & Sewer Superintendent FLSA Status: Non-Exempt Pay: $29.80 per hour DESCRIPTION The PLC Technician is responsible for the programming, maintenance, and troubleshooting of Programmable Logic Controllers (PLCs) utilized in water and sewer infrastructure. This position requires advanced expertise in PLC systems to ensure the reliability and efficiency of our water and sewer operations. QUALIFICATIONS Bachelor's degree or equivalent technical education in electrical engineering, automation, industrial electronics, or a related field is required. Minimum 8 years of experience with PLC systems and related SCADA or computer applications in municipal water and wastewater utility environments required. Must possess a valid Driver's License Class C at time of placement. Flexibility to respond to emergency situations and work outside of regular business hours when necessary. KNOWLEDGE, SKILLS, AND ABILITIES Knowledge of and proficiency in PLC programming languages (e.g., ladder logic, function block diagrams) and software (e.g., Allen-Bradley, Siemens). Knowledge of electrical systems, instrumentation, and control principles related to water and sewer infrastructure. Skills in excellent problem-solving and attention to detail in diagnosing and resolving PLC-related issues. Skills in effective written and verbal communication skills to collaborate with cross-functional teams and convey technical information clearly. Skills in strong organization and attention to detail. Ability to interpret technical drawings, schematics, and specifications for PLC installations and modifications. MAJOR DUTIES Program, configure, and maintain PLC systems used in water production and wastewater treatment plant applications. Collaborate with engineers and technicians to design, implement, and optimize PLC-based control systems for various water and sewer processes. Conduct regular inspections and preventive maintenance on PLC hardware and software to prevent downtime and ensure optimal performance. Troubleshoot PLC malfunctions, identify root causes of issues, and implement corrective actions in a timely manner. Utilize diagnostic tools and software to analyze PLC performance data and identify opportunities for improvement. Develop and update PLC documentation, including wiring diagrams, ladder logic programs, and operating manuals. Provide technical support and training to department staff on PLC operation, troubleshooting, and maintenance practices. Stay current with industry trends and advancements in PLC technology to recommend upgrades and enhancements as needed. Other duties as assigned. This position is an essential service position and will require providing services during emergency situations. Visit our website or contact the Human Resources Department at Lufkin City Hall, 300 E. Shepherd Ave., Suite 226, Lufkin, TX 75901, Phone . Job Posted by ApplicantPro
08/05/2026
Full time
Job Description Job Description Position: Programmable Logic Controller (PLC) Technician Department: Water & Sewer Utilities Reports To: Water & Sewer Superintendent FLSA Status: Non-Exempt Pay: $29.80 per hour DESCRIPTION The PLC Technician is responsible for the programming, maintenance, and troubleshooting of Programmable Logic Controllers (PLCs) utilized in water and sewer infrastructure. This position requires advanced expertise in PLC systems to ensure the reliability and efficiency of our water and sewer operations. QUALIFICATIONS Bachelor's degree or equivalent technical education in electrical engineering, automation, industrial electronics, or a related field is required. Minimum 8 years of experience with PLC systems and related SCADA or computer applications in municipal water and wastewater utility environments required. Must possess a valid Driver's License Class C at time of placement. Flexibility to respond to emergency situations and work outside of regular business hours when necessary. KNOWLEDGE, SKILLS, AND ABILITIES Knowledge of and proficiency in PLC programming languages (e.g., ladder logic, function block diagrams) and software (e.g., Allen-Bradley, Siemens). Knowledge of electrical systems, instrumentation, and control principles related to water and sewer infrastructure. Skills in excellent problem-solving and attention to detail in diagnosing and resolving PLC-related issues. Skills in effective written and verbal communication skills to collaborate with cross-functional teams and convey technical information clearly. Skills in strong organization and attention to detail. Ability to interpret technical drawings, schematics, and specifications for PLC installations and modifications. MAJOR DUTIES Program, configure, and maintain PLC systems used in water production and wastewater treatment plant applications. Collaborate with engineers and technicians to design, implement, and optimize PLC-based control systems for various water and sewer processes. Conduct regular inspections and preventive maintenance on PLC hardware and software to prevent downtime and ensure optimal performance. Troubleshoot PLC malfunctions, identify root causes of issues, and implement corrective actions in a timely manner. Utilize diagnostic tools and software to analyze PLC performance data and identify opportunities for improvement. Develop and update PLC documentation, including wiring diagrams, ladder logic programs, and operating manuals. Provide technical support and training to department staff on PLC operation, troubleshooting, and maintenance practices. Stay current with industry trends and advancements in PLC technology to recommend upgrades and enhancements as needed. Other duties as assigned. This position is an essential service position and will require providing services during emergency situations. Visit our website or contact the Human Resources Department at Lufkin City Hall, 300 E. Shepherd Ave., Suite 226, Lufkin, TX 75901, Phone . Job Posted by ApplicantPro
Job Description Job Description Company Description McWane, Inc. is an equal opportunity employer. Employment is made available to all persons without regard to race, color, religion, sex, national origin, age, and marital status, disability that does not prohibit performance of essential job functions with reasonable accommodation, Vietnam Era or veteran status. This policy applies to hiring, placement, recruitment, rates of pay or other forms of compensation, benefits, promotions, transfers, layoffs, recalls, Company-sponsored training, terminations, and other employment-related activities. Physical Demands: The physical demands described are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to stand, walk, sit, use hands to finger, handle or feel; reach with hands and arms; and talk and hear. The employee is occasionally required to climb or balance, stoop, kneel, bend, crouch or crawl, and taste or smell. The employee may occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. The work environment characteristics described are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is occasionally exposed to moving mechanical parts, high or precarious places, fumes or airborne particles, outside weather conditions, extreme heat or cold, wet and/or humid conditions, toxic or caustic chemicals, and risk of electrical shock and vibration. The noise level in the work environment is usually moderate. Job Description Essential Duties and Responsibilities: include those listed below, other duties may be assigned. This position is a full-time (minimum 40 hours per week) on-site position. Ability to troubleshoot equipment using PLC programs to support plant Electricians. Install Programmable Logic Controllers on new and existing equipment Good understanding of NFPA 70E and basic wiring techniques Experience with drives, motors, and motor controls Possess a good understanding of sensors Possess a basic understanding of pneumatics - cylinders, valves, solenoids, etc. Have a good understanding ladder logic program Ability to read and understand electrical schematics Documenting work and maintaining records. Back-up copies of programs and parameter sets for the plant. Assisting in the training of staff Monitoring work and systems to ensure compliance with Federal, State, and County codes, regulations, standards, and mandates Create and read logic and flow diagrams for program design, programming, simulation and testing, and start-up Program and Troubleshoot Allen Bradley control systems hardware and software (Studio 5000, RS Logix 500/5000, Factory talk View ME/SE). Interpreting project documentation to develop an understanding of the process control requirement. Coordinate with engineering and maintenance on existing machine control modifications to robotic, electrical, electronic, hydraulic, and pneumatic and vision systems. Retrofits to upgrade from SLC-era control systems for risk reduction are a possibility. Increase uptime, throughput, efficiency, and quality, through the process of maintaining, designing, developing and continuously improving our equipment and the utilization of technology to ensure the best quality products are produced. Perform continuous improvement activities to improve safety, to increase productivity and to reduce production cost, by development and improvement of electrical control systems, PLC, HMI & robotics programming, including design, implementation, and troubleshooting. Assisting in developing of PM strategies and identifying areas of improvement within the control system infrastructure. Participation in design reviews for new machinery to provide input into control system capabilities which affect machine function. Must be able to work closely with CAD designer/engineering to integrate/package/select appropriate electromechanical presses and servo motors to meet design requirements. Provide training and guidance to maintenance personnel related to controls systems. Train employees on electrical and mechanical troubleshooting of existing equipment. Scheduled plant coverage rotation required to remotely log in and troubleshoot machine issues, or, if required, be on site to assist with troubleshooting. Resolve customer questions and/or concerns without seeking assistance from leadership. Assist in identifying and procuring equipment and parts necessary for daily maintenance requirements. Proficient troubleshooting, including electrical/electronic systems (+/- 10V, 24V, 120V) Proactive individual that takes responsibility for their equipment. Work in a team environment where honest communication, a positive attitude, engagement, and personal accountability are expected. Work off-shifts, weekends, and extended shifts (i.e., 12 hrs.). This position may require off-shift support for production or start up. Qualifications Supervisory Responsibilities : None. Qualifications: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Education and/or Experience: Must be experienced in PLC logic and programming with any of the following PLC's: Allen Bradly, Siemens. AA in Electrical Engineering Technology or Mechatronics Technology preferred plus 2 years' related experience in an industrial manufacturing setting; OR an equivalent combination of related education and/or experience. Certification of AB training courses a plus Computer Skills: Computer literate; proficient with Microsoft Windows, MS Office programs and applications for word processing, email, database management and spreadsheets. Reasoning Ability: Ability to look at electrical blueprints, review them to identify issues and ensure they will work before being installed. Must apply common sense and solve practical problems. Ability to look at electrical grids and evaluate them for any problems, isolate the issue, and solve the issue to make sure they are being installed correctly. Ability to identify issues and make corrective measures to fix problems with electrical components. Electrical technicians need to be able to look for problems in complicated electrical grids, isolate the issue and solve it. Additional Information McWane, Inc. is an equal opportunity employer. Employment is made available to all persons without regard to race, color, religion, sex, national origin, age, and marital status, disability that does not prohibit performance of essential job functions with reasonable accommodation, Vietnam Era or veteran status. This policy applies to hiring, placement, recruitment, rates of pay or other forms of compensation, benefits, promotions, transfers, layoffs, recalls, Company-sponsored training, terminations, and other employment-related activities. McWane Ductile - Ohio is an Equal Opportunity Employer Female, minority, veteran, and disabled candidates are encouraged to apply Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. McWane is a Federal VEVRAA contractor, and an Equal Opportunity Employer committed to providing equal employment opportunity in all employment practices. McWane will not discriminate against any applicant for employment because of their race, color, religion, sex, national origin, age, sexual orientation, disability, veteran or service member status, marital status, citizenship status (In IL - sex, including same sex, ancestry, order of protection status, physical or mental disability, military status, pregnancy, unfavorable discharge status, genetic information), (In IA - gender identity), (In CA- gender identity or expression, and genetic information) or any other category protected by federal, state or local law.
08/05/2026
Full time
Job Description Job Description Company Description McWane, Inc. is an equal opportunity employer. Employment is made available to all persons without regard to race, color, religion, sex, national origin, age, and marital status, disability that does not prohibit performance of essential job functions with reasonable accommodation, Vietnam Era or veteran status. This policy applies to hiring, placement, recruitment, rates of pay or other forms of compensation, benefits, promotions, transfers, layoffs, recalls, Company-sponsored training, terminations, and other employment-related activities. Physical Demands: The physical demands described are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to stand, walk, sit, use hands to finger, handle or feel; reach with hands and arms; and talk and hear. The employee is occasionally required to climb or balance, stoop, kneel, bend, crouch or crawl, and taste or smell. The employee may occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. The work environment characteristics described are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is occasionally exposed to moving mechanical parts, high or precarious places, fumes or airborne particles, outside weather conditions, extreme heat or cold, wet and/or humid conditions, toxic or caustic chemicals, and risk of electrical shock and vibration. The noise level in the work environment is usually moderate. Job Description Essential Duties and Responsibilities: include those listed below, other duties may be assigned. This position is a full-time (minimum 40 hours per week) on-site position. Ability to troubleshoot equipment using PLC programs to support plant Electricians. Install Programmable Logic Controllers on new and existing equipment Good understanding of NFPA 70E and basic wiring techniques Experience with drives, motors, and motor controls Possess a good understanding of sensors Possess a basic understanding of pneumatics - cylinders, valves, solenoids, etc. Have a good understanding ladder logic program Ability to read and understand electrical schematics Documenting work and maintaining records. Back-up copies of programs and parameter sets for the plant. Assisting in the training of staff Monitoring work and systems to ensure compliance with Federal, State, and County codes, regulations, standards, and mandates Create and read logic and flow diagrams for program design, programming, simulation and testing, and start-up Program and Troubleshoot Allen Bradley control systems hardware and software (Studio 5000, RS Logix 500/5000, Factory talk View ME/SE). Interpreting project documentation to develop an understanding of the process control requirement. Coordinate with engineering and maintenance on existing machine control modifications to robotic, electrical, electronic, hydraulic, and pneumatic and vision systems. Retrofits to upgrade from SLC-era control systems for risk reduction are a possibility. Increase uptime, throughput, efficiency, and quality, through the process of maintaining, designing, developing and continuously improving our equipment and the utilization of technology to ensure the best quality products are produced. Perform continuous improvement activities to improve safety, to increase productivity and to reduce production cost, by development and improvement of electrical control systems, PLC, HMI & robotics programming, including design, implementation, and troubleshooting. Assisting in developing of PM strategies and identifying areas of improvement within the control system infrastructure. Participation in design reviews for new machinery to provide input into control system capabilities which affect machine function. Must be able to work closely with CAD designer/engineering to integrate/package/select appropriate electromechanical presses and servo motors to meet design requirements. Provide training and guidance to maintenance personnel related to controls systems. Train employees on electrical and mechanical troubleshooting of existing equipment. Scheduled plant coverage rotation required to remotely log in and troubleshoot machine issues, or, if required, be on site to assist with troubleshooting. Resolve customer questions and/or concerns without seeking assistance from leadership. Assist in identifying and procuring equipment and parts necessary for daily maintenance requirements. Proficient troubleshooting, including electrical/electronic systems (+/- 10V, 24V, 120V) Proactive individual that takes responsibility for their equipment. Work in a team environment where honest communication, a positive attitude, engagement, and personal accountability are expected. Work off-shifts, weekends, and extended shifts (i.e., 12 hrs.). This position may require off-shift support for production or start up. Qualifications Supervisory Responsibilities : None. Qualifications: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Education and/or Experience: Must be experienced in PLC logic and programming with any of the following PLC's: Allen Bradly, Siemens. AA in Electrical Engineering Technology or Mechatronics Technology preferred plus 2 years' related experience in an industrial manufacturing setting; OR an equivalent combination of related education and/or experience. Certification of AB training courses a plus Computer Skills: Computer literate; proficient with Microsoft Windows, MS Office programs and applications for word processing, email, database management and spreadsheets. Reasoning Ability: Ability to look at electrical blueprints, review them to identify issues and ensure they will work before being installed. Must apply common sense and solve practical problems. Ability to look at electrical grids and evaluate them for any problems, isolate the issue, and solve the issue to make sure they are being installed correctly. Ability to identify issues and make corrective measures to fix problems with electrical components. Electrical technicians need to be able to look for problems in complicated electrical grids, isolate the issue and solve it. Additional Information McWane, Inc. is an equal opportunity employer. Employment is made available to all persons without regard to race, color, religion, sex, national origin, age, and marital status, disability that does not prohibit performance of essential job functions with reasonable accommodation, Vietnam Era or veteran status. This policy applies to hiring, placement, recruitment, rates of pay or other forms of compensation, benefits, promotions, transfers, layoffs, recalls, Company-sponsored training, terminations, and other employment-related activities. McWane Ductile - Ohio is an Equal Opportunity Employer Female, minority, veteran, and disabled candidates are encouraged to apply Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. McWane is a Federal VEVRAA contractor, and an Equal Opportunity Employer committed to providing equal employment opportunity in all employment practices. McWane will not discriminate against any applicant for employment because of their race, color, religion, sex, national origin, age, sexual orientation, disability, veteran or service member status, marital status, citizenship status (In IL - sex, including same sex, ancestry, order of protection status, physical or mental disability, military status, pregnancy, unfavorable discharge status, genetic information), (In IA - gender identity), (In CA- gender identity or expression, and genetic information) or any other category protected by federal, state or local law.
Job Description Job Description At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs. Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. We've also been named to the Fortune Future 50 list and the 2026 AI Breakthrough Awards for "Overall NLP Company of the Year." Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here. The future of healthcare is being built right now. Come deliver this transformation. About the Role At Commure, the AI Integration Team plays a crucial role in supporting the company's core products, Revenue Cycle Management (RCM) and Ambient, by ensuring seamless data flow between our platform and over 40 Electronic Medical Records (EMRs). This team is responsible for fetching vital Encounter and Appointment data from multiple EMRs and, when necessary, writing data back to these systems. The team's work ensures the interoperability and smooth exchange of healthcare data via HL7, enabling healthcare providers to deliver more efficient and accurate care while streamlining administrative processes. We're looking for a Staff Software Engineer who takes ownership end-to-end, moves fast, and wants their work to directly impact how care is delivered. What You'll Do Design and implement complex integration solutions between our platform and third-party healthcare systems (EHRs, insurance providers, etc.) while ensuring high performance, reliability, and scalability. Utilize the latest developments in LLM technology to automate the reverse-engineering of electronic health records. Collaborate with cross-functional teams (product, engineering, and healthcare) to gather integration requirements, define technical approaches, and prioritize tasks based on business needs. Contribute to the technical direction of the integration platform by proposing and implementing improvements to architecture, tools, and technologies. Take ownership of end-to-end integration workflows, from design and development through to deployment and post-launch monitoring. Identify and resolve performance bottlenecks, troubleshoot integration issues, and proactively improve the reliability of integrations in production environments. Ensure all integration work adheres to healthcare compliance and security standards (e.g., HIPAA, HL7, FHIR) and collaborate with security teams to protect sensitive data. Work closely with junior engineers to provide technical guidance and mentorship, helping them solve problems and ensuring high-quality code standards are followed. Drive the implementation of best practices for integration development, including testing, error handling, version control, and continuous integration. Collaborate with DevOps and QA teams to implement monitoring and alerting systems that ensure integration reliability and system health in production. Stay up-to-date with industry trends in healthcare technology, integration patterns, and emerging tools, continuously suggesting and applying innovations that can improve system performance and integration capabilities. Participate in agile development cycles, contributing to sprint planning, retrospectives, and maintaining a collaborative and efficient working environment What You Have Required Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent extensive experience 10+ years of professional software development industry experience Proficiency in backend languages like Python, Go, or C++. Proficiency in frontend languages like Javascript, HTML, CSS Experience including but not limited to Git, GCP / AWS, Docker, Kubernetes, relational and non-relational DBs, and monitoring/alerting tools Proven track record of designing and implementing end-to-end solutions and making successful architectural decisions Excellent communication and collaboration skills, with the ability to work in a fast-paced, dynamic environment. Please be aware that all official communication from us will come exclusively from email addresses ending in @ . Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization's information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis. Compensation Range: $170K - $240K
08/05/2026
Full time
Job Description Job Description At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs. Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. We've also been named to the Fortune Future 50 list and the 2026 AI Breakthrough Awards for "Overall NLP Company of the Year." Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here. The future of healthcare is being built right now. Come deliver this transformation. About the Role At Commure, the AI Integration Team plays a crucial role in supporting the company's core products, Revenue Cycle Management (RCM) and Ambient, by ensuring seamless data flow between our platform and over 40 Electronic Medical Records (EMRs). This team is responsible for fetching vital Encounter and Appointment data from multiple EMRs and, when necessary, writing data back to these systems. The team's work ensures the interoperability and smooth exchange of healthcare data via HL7, enabling healthcare providers to deliver more efficient and accurate care while streamlining administrative processes. We're looking for a Staff Software Engineer who takes ownership end-to-end, moves fast, and wants their work to directly impact how care is delivered. What You'll Do Design and implement complex integration solutions between our platform and third-party healthcare systems (EHRs, insurance providers, etc.) while ensuring high performance, reliability, and scalability. Utilize the latest developments in LLM technology to automate the reverse-engineering of electronic health records. Collaborate with cross-functional teams (product, engineering, and healthcare) to gather integration requirements, define technical approaches, and prioritize tasks based on business needs. Contribute to the technical direction of the integration platform by proposing and implementing improvements to architecture, tools, and technologies. Take ownership of end-to-end integration workflows, from design and development through to deployment and post-launch monitoring. Identify and resolve performance bottlenecks, troubleshoot integration issues, and proactively improve the reliability of integrations in production environments. Ensure all integration work adheres to healthcare compliance and security standards (e.g., HIPAA, HL7, FHIR) and collaborate with security teams to protect sensitive data. Work closely with junior engineers to provide technical guidance and mentorship, helping them solve problems and ensuring high-quality code standards are followed. Drive the implementation of best practices for integration development, including testing, error handling, version control, and continuous integration. Collaborate with DevOps and QA teams to implement monitoring and alerting systems that ensure integration reliability and system health in production. Stay up-to-date with industry trends in healthcare technology, integration patterns, and emerging tools, continuously suggesting and applying innovations that can improve system performance and integration capabilities. Participate in agile development cycles, contributing to sprint planning, retrospectives, and maintaining a collaborative and efficient working environment What You Have Required Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent extensive experience 10+ years of professional software development industry experience Proficiency in backend languages like Python, Go, or C++. Proficiency in frontend languages like Javascript, HTML, CSS Experience including but not limited to Git, GCP / AWS, Docker, Kubernetes, relational and non-relational DBs, and monitoring/alerting tools Proven track record of designing and implementing end-to-end solutions and making successful architectural decisions Excellent communication and collaboration skills, with the ability to work in a fast-paced, dynamic environment. Please be aware that all official communication from us will come exclusively from email addresses ending in @ . Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization's information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis. Compensation Range: $170K - $240K
Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: Sonatus is a global leader in the automotive industry, providing key technologies that enable intelligent AI-defined vehicles. Our solutions are already on the road with millions of vehicles, and we are quickly expanding our offerings for production-grade AI on the Edge. We are looking for a great Senior Staff AI Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during the day-to-day operation, including system logs, traces, and vehicle internal signals (Ethernet and CAN) to detect and predict the health of different sub-systems and anticipate failures in real-time. You will own the end-to-end ML pipeline-from data ingestion and model training to deployment on resource-constrained edge devices and model optimization. You will work in a fast-paced startup environment where your code will directly impact fleet reliability and build the next generation of the self-aware vehicle. You will be expected to collaborate with other leading developers who have a deep understanding and expertise of vehicle software and systems, and other AI developers working on MLOps and integration of AI models on vehicles expected to be on the road today. Expect to experiment with cutting-edge model architectures and best-in-class development tools. This is a hybrid role out of our Sunnyvale, CA, where you will be expected to work in our office 3 days a week. Responsibilities: Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. Integrating ML flows, including cloud-based LLM APIs (Gemini, OpenAI, Claude), with emphasis on synthetic data creation. Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors. Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time-series data from CAN bus and on-board sensors. Implement logic to correlate signal anomalies (e.g., ADAS drifts, sensor spikes, latency jitters) across different modalities with system events to identify root causes. Port and optimize PyTorch/TensorFlow models into production-grade models for execution on CPU/GPU-bound targets or embedded NPUs. Apply quantization, pruning, distillation, and memory optimization to ensure models run within strict RAM/Flash budgets. Define the data strategy for on-device filtering: pre-processing on device and decide which data is processed locally versus processed in the cloud. Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI. Requirements: Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field. 10+ years in Machine Learning Engineering, with 3+ years focused on Edge AI or Embedded Systems. Proven experience mentoring junior engineers in software development. Expert Python (for training) and decent working knowledge of modern C++ (C+/17 for inference). Deep proficiency with PyTorch or TensorFlow, and experience with inference engines like ONNX, TFLite, or TVM. Experience with NLP techniques for textual data parsing, sequence modeling (RNN/GRU), vector store, or lightweight LLMs/SLMs. Experience with libraries like scikit-learn, tslearn, or statsmodels for anomaly detection on sensor data. Proven ability to lead technical projects from concept to production in an ambiguous, fast-paced environment. Ability to communicate with stakeholders and articulate trade-offs. Experience deploying to Edge environments (e.g., ARM-based), managing memory manually, and working with limited compute resources. Candidates with a strong Computer Vision (CV) / ADAS track record are highly encouraged to apply! Desired Skills: MS/PhD in Computer Science, Engineering, or related fields. Familiarity with Edge systems and preferably automotive formats (CAN, DBC, UDS, SOME/IP, or MQTT. Understanding of Linux/QNX kernel logs (dmesg), process states, and OS-level debugging. Experience with NVIDIA TensorRT, Qualcomm SNPE. Sunnyvale HQ Benefits & Perks Offered: Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 14+ paid holidays Hybrid office work arrangement Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowance Phone & Internet reimbursement Computer Accessory Allowance The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,000-$300,000 USD
08/05/2026
Full time
Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: Sonatus is a global leader in the automotive industry, providing key technologies that enable intelligent AI-defined vehicles. Our solutions are already on the road with millions of vehicles, and we are quickly expanding our offerings for production-grade AI on the Edge. We are looking for a great Senior Staff AI Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during the day-to-day operation, including system logs, traces, and vehicle internal signals (Ethernet and CAN) to detect and predict the health of different sub-systems and anticipate failures in real-time. You will own the end-to-end ML pipeline-from data ingestion and model training to deployment on resource-constrained edge devices and model optimization. You will work in a fast-paced startup environment where your code will directly impact fleet reliability and build the next generation of the self-aware vehicle. You will be expected to collaborate with other leading developers who have a deep understanding and expertise of vehicle software and systems, and other AI developers working on MLOps and integration of AI models on vehicles expected to be on the road today. Expect to experiment with cutting-edge model architectures and best-in-class development tools. This is a hybrid role out of our Sunnyvale, CA, where you will be expected to work in our office 3 days a week. Responsibilities: Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. Integrating ML flows, including cloud-based LLM APIs (Gemini, OpenAI, Claude), with emphasis on synthetic data creation. Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors. Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time-series data from CAN bus and on-board sensors. Implement logic to correlate signal anomalies (e.g., ADAS drifts, sensor spikes, latency jitters) across different modalities with system events to identify root causes. Port and optimize PyTorch/TensorFlow models into production-grade models for execution on CPU/GPU-bound targets or embedded NPUs. Apply quantization, pruning, distillation, and memory optimization to ensure models run within strict RAM/Flash budgets. Define the data strategy for on-device filtering: pre-processing on device and decide which data is processed locally versus processed in the cloud. Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI. Requirements: Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field. 10+ years in Machine Learning Engineering, with 3+ years focused on Edge AI or Embedded Systems. Proven experience mentoring junior engineers in software development. Expert Python (for training) and decent working knowledge of modern C++ (C+/17 for inference). Deep proficiency with PyTorch or TensorFlow, and experience with inference engines like ONNX, TFLite, or TVM. Experience with NLP techniques for textual data parsing, sequence modeling (RNN/GRU), vector store, or lightweight LLMs/SLMs. Experience with libraries like scikit-learn, tslearn, or statsmodels for anomaly detection on sensor data. Proven ability to lead technical projects from concept to production in an ambiguous, fast-paced environment. Ability to communicate with stakeholders and articulate trade-offs. Experience deploying to Edge environments (e.g., ARM-based), managing memory manually, and working with limited compute resources. Candidates with a strong Computer Vision (CV) / ADAS track record are highly encouraged to apply! Desired Skills: MS/PhD in Computer Science, Engineering, or related fields. Familiarity with Edge systems and preferably automotive formats (CAN, DBC, UDS, SOME/IP, or MQTT. Understanding of Linux/QNX kernel logs (dmesg), process states, and OS-level debugging. Experience with NVIDIA TensorRT, Qualcomm SNPE. Sunnyvale HQ Benefits & Perks Offered: Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 14+ paid holidays Hybrid office work arrangement Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowance Phone & Internet reimbursement Computer Accessory Allowance The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,000-$300,000 USD
Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: Sonatus is a global leader in the automotive industry, providing key technologies that enable intelligent AI-defined vehicles. Our solutions are already on the road with millions of vehicles, and we are quickly expanding our offerings for production-grade AI on the Edge. We are looking for a great Senior Staff AI Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during the day-to-day operation, including system logs, traces, and vehicle internal signals (Ethernet and CAN) to detect and predict the health of different sub-systems and anticipate failures in real-time. You will own the end-to-end ML pipeline-from data ingestion and model training to deployment on resource-constrained edge devices and model optimization. You will work in a fast-paced startup environment where your code will directly impact fleet reliability and build the next generation of the self-aware vehicle. You will be expected to collaborate with other leading developers who have a deep understanding and expertise of vehicle software and systems, and other AI developers working on MLOps and integration of AI models on vehicles expected to be on the road today. Expect to experiment with cutting-edge model architectures and best-in-class development tools. This is a hybrid role out of our Sunnyvale, CA, where you will be expected to work in our office 3 days a week. Responsibilities: Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. Integrating ML flows, including cloud-based LLM APIs (Gemini, OpenAI, Claude), with emphasis on synthetic data creation. Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors. Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time-series data from CAN bus and on-board sensors. Implement logic to correlate signal anomalies (e.g., ADAS drifts, sensor spikes, latency jitters) across different modalities with system events to identify root causes. Port and optimize PyTorch/TensorFlow models into production-grade models for execution on CPU/GPU-bound targets or embedded NPUs. Apply quantization, pruning, distillation, and memory optimization to ensure models run within strict RAM/Flash budgets. Define the data strategy for on-device filtering: pre-processing on device and decide which data is processed locally versus processed in the cloud. Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI. Requirements: Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field. 10+ years in Machine Learning Engineering, with 3+ years focused on Edge AI or Embedded Systems. Proven experience mentoring junior engineers in software development. Expert Python (for training) and decent working knowledge of modern C++ (C+/17 for inference). Deep proficiency with PyTorch or TensorFlow, and experience with inference engines like ONNX, TFLite, or TVM. Experience with NLP techniques for textual data parsing, sequence modeling (RNN/GRU), vector store, or lightweight LLMs/SLMs. Experience with libraries like scikit-learn, tslearn, or statsmodels for anomaly detection on sensor data. Proven ability to lead technical projects from concept to production in an ambiguous, fast-paced environment. Ability to communicate with stakeholders and articulate trade-offs. Experience deploying to Edge environments (e.g., ARM-based), managing memory manually, and working with limited compute resources. Candidates with a strong Computer Vision (CV) / ADAS track record are highly encouraged to apply! Desired Skills: MS/PhD in Computer Science, Engineering, or related fields. Familiarity with Edge systems and preferably automotive formats (CAN, DBC, UDS, SOME/IP, or MQTT. Understanding of Linux/QNX kernel logs (dmesg), process states, and OS-level debugging. Experience with NVIDIA TensorRT, Qualcomm SNPE. Sunnyvale HQ Benefits & Perks Offered: Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 14+ paid holidays Hybrid office work arrangement Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowance Phone & Internet reimbursement Computer Accessory Allowance The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,000-$300,000 USD
08/05/2026
Full time
Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: Sonatus is a global leader in the automotive industry, providing key technologies that enable intelligent AI-defined vehicles. Our solutions are already on the road with millions of vehicles, and we are quickly expanding our offerings for production-grade AI on the Edge. We are looking for a great Senior Staff AI Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during the day-to-day operation, including system logs, traces, and vehicle internal signals (Ethernet and CAN) to detect and predict the health of different sub-systems and anticipate failures in real-time. You will own the end-to-end ML pipeline-from data ingestion and model training to deployment on resource-constrained edge devices and model optimization. You will work in a fast-paced startup environment where your code will directly impact fleet reliability and build the next generation of the self-aware vehicle. You will be expected to collaborate with other leading developers who have a deep understanding and expertise of vehicle software and systems, and other AI developers working on MLOps and integration of AI models on vehicles expected to be on the road today. Expect to experiment with cutting-edge model architectures and best-in-class development tools. This is a hybrid role out of our Sunnyvale, CA, where you will be expected to work in our office 3 days a week. Responsibilities: Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. Integrating ML flows, including cloud-based LLM APIs (Gemini, OpenAI, Claude), with emphasis on synthetic data creation. Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors. Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time-series data from CAN bus and on-board sensors. Implement logic to correlate signal anomalies (e.g., ADAS drifts, sensor spikes, latency jitters) across different modalities with system events to identify root causes. Port and optimize PyTorch/TensorFlow models into production-grade models for execution on CPU/GPU-bound targets or embedded NPUs. Apply quantization, pruning, distillation, and memory optimization to ensure models run within strict RAM/Flash budgets. Define the data strategy for on-device filtering: pre-processing on device and decide which data is processed locally versus processed in the cloud. Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI. Requirements: Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field. 10+ years in Machine Learning Engineering, with 3+ years focused on Edge AI or Embedded Systems. Proven experience mentoring junior engineers in software development. Expert Python (for training) and decent working knowledge of modern C++ (C+/17 for inference). Deep proficiency with PyTorch or TensorFlow, and experience with inference engines like ONNX, TFLite, or TVM. Experience with NLP techniques for textual data parsing, sequence modeling (RNN/GRU), vector store, or lightweight LLMs/SLMs. Experience with libraries like scikit-learn, tslearn, or statsmodels for anomaly detection on sensor data. Proven ability to lead technical projects from concept to production in an ambiguous, fast-paced environment. Ability to communicate with stakeholders and articulate trade-offs. Experience deploying to Edge environments (e.g., ARM-based), managing memory manually, and working with limited compute resources. Candidates with a strong Computer Vision (CV) / ADAS track record are highly encouraged to apply! Desired Skills: MS/PhD in Computer Science, Engineering, or related fields. Familiarity with Edge systems and preferably automotive formats (CAN, DBC, UDS, SOME/IP, or MQTT. Understanding of Linux/QNX kernel logs (dmesg), process states, and OS-level debugging. Experience with NVIDIA TensorRT, Qualcomm SNPE. Sunnyvale HQ Benefits & Perks Offered: Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 14+ paid holidays Hybrid office work arrangement Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowance Phone & Internet reimbursement Computer Accessory Allowance The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,000-$300,000 USD
Job Description Job Description Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that's why we're building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver , our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role Our robotics team is growing and we are looking for a Software Engineer to join our Sensor Data and Calibration team. We are searching for an engineer with robotics and machine learning expertise to develop synthetic sensor simulation models and algorithms. The ideal candidate has hands-on experience in the research, development, and implementation of machine learning methods (e.g., NeRF or Gaussian splatting) for generating synthetic sensor data (photorealistic images, realistic lidar and/or radar, etc.). About the Work Research, develop, and implement state-of-the-art synthetic sensor simulation methods Analyze and characterize the realism and utility of synthetic sensor data Answer critical questions about sensor data and autonomy performance Collaborate with stakeholders across autonomy, infrastructure, and systems teams on map needs and requirements Role is scoped as a Senior/Staff IC with the flexibility to grow into a Tech Lead/TLM. About You One of PhD in machine learning, computer science, electrical engineering, robotics, or related field, and 3+ years of industry experience Masters and 4+ years of industry experience 5+ years of industry experience Deep understanding of ML fundamentals with hands-on experience in training and evaluating modern ML models Strong Python skills with experience in deep learning frameworks, e.g., PyTorch, TensorFlow, or Jax Bonus Points Deep understanding of 3D geometry and state estimation fundamentals Proficiency in systems coding Experience in simulating/modeling real sensors (camera, lidar, radar, IMU, etc), including noise modeling Experience in modern ML graphics techniques, e.g., NeRF, Gaussian Splatting, and/or generative models. Experience in building ML pipelines and optimizing/productizing ML models Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA) At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $193,930 and $291,150 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.
08/05/2026
Full time
Job Description Job Description Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that's why we're building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver , our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role Our robotics team is growing and we are looking for a Software Engineer to join our Sensor Data and Calibration team. We are searching for an engineer with robotics and machine learning expertise to develop synthetic sensor simulation models and algorithms. The ideal candidate has hands-on experience in the research, development, and implementation of machine learning methods (e.g., NeRF or Gaussian splatting) for generating synthetic sensor data (photorealistic images, realistic lidar and/or radar, etc.). About the Work Research, develop, and implement state-of-the-art synthetic sensor simulation methods Analyze and characterize the realism and utility of synthetic sensor data Answer critical questions about sensor data and autonomy performance Collaborate with stakeholders across autonomy, infrastructure, and systems teams on map needs and requirements Role is scoped as a Senior/Staff IC with the flexibility to grow into a Tech Lead/TLM. About You One of PhD in machine learning, computer science, electrical engineering, robotics, or related field, and 3+ years of industry experience Masters and 4+ years of industry experience 5+ years of industry experience Deep understanding of ML fundamentals with hands-on experience in training and evaluating modern ML models Strong Python skills with experience in deep learning frameworks, e.g., PyTorch, TensorFlow, or Jax Bonus Points Deep understanding of 3D geometry and state estimation fundamentals Proficiency in systems coding Experience in simulating/modeling real sensors (camera, lidar, radar, IMU, etc), including noise modeling Experience in modern ML graphics techniques, e.g., NeRF, Gaussian Splatting, and/or generative models. Experience in building ML pipelines and optimizing/productizing ML models Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA) At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $193,930 and $291,150 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.
Job Description Job Description At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs. Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. We've also been named to the Fortune Future 50 list and the 2026 AI Breakthrough Awards for "Overall NLP Company of the Year." Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here. The future of healthcare is being built right now. Come deliver this transformation. About the Role At Commure, the AI Integration Team plays a crucial role in supporting the company's core products, Revenue Cycle Management (RCM) and Ambient, by ensuring seamless data flow between our platform and over 40 Electronic Medical Records (EMRs). This team is responsible for fetching vital Encounter and Appointment data from multiple EMRs and, when necessary, writing data back to these systems. The team's work ensures the interoperability and smooth exchange of healthcare data via HL7, enabling healthcare providers to deliver more efficient and accurate care while streamlining administrative processes. We're looking for a Staff Software Engineer who takes ownership end-to-end, moves fast, and wants their work to directly impact how care is delivered. What You'll Do Design and implement complex integration solutions between our platform and third-party healthcare systems (EHRs, insurance providers, etc.) while ensuring high performance, reliability, and scalability. Utilize the latest developments in LLM technology to automate the reverse-engineering of electronic health records. Collaborate with cross-functional teams (product, engineering, and healthcare) to gather integration requirements, define technical approaches, and prioritize tasks based on business needs. Contribute to the technical direction of the integration platform by proposing and implementing improvements to architecture, tools, and technologies. Take ownership of end-to-end integration workflows, from design and development through to deployment and post-launch monitoring. Identify and resolve performance bottlenecks, troubleshoot integration issues, and proactively improve the reliability of integrations in production environments. Ensure all integration work adheres to healthcare compliance and security standards (e.g., HIPAA, HL7, FHIR) and collaborate with security teams to protect sensitive data. Work closely with junior engineers to provide technical guidance and mentorship, helping them solve problems and ensuring high-quality code standards are followed. Drive the implementation of best practices for integration development, including testing, error handling, version control, and continuous integration. Collaborate with DevOps and QA teams to implement monitoring and alerting systems that ensure integration reliability and system health in production. Stay up-to-date with industry trends in healthcare technology, integration patterns, and emerging tools, continuously suggesting and applying innovations that can improve system performance and integration capabilities. Participate in agile development cycles, contributing to sprint planning, retrospectives, and maintaining a collaborative and efficient working environment What You Have Required Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent extensive experience 10+ years of professional software development industry experience Proficiency in backend languages like Python, Go, or C++. Proficiency in frontend languages like Javascript, HTML, CSS Experience including but not limited to Git, GCP / AWS, Docker, Kubernetes, relational and non-relational DBs, and monitoring/alerting tools Proven track record of designing and implementing end-to-end solutions and making successful architectural decisions Excellent communication and collaboration skills, with the ability to work in a fast-paced, dynamic environment. Please be aware that all official communication from us will come exclusively from email addresses ending in @ . Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization's information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis. Compensation Range: $170K - $240K
08/05/2026
Full time
Job Description Job Description At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs. Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. We've also been named to the Fortune Future 50 list and the 2026 AI Breakthrough Awards for "Overall NLP Company of the Year." Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here. The future of healthcare is being built right now. Come deliver this transformation. About the Role At Commure, the AI Integration Team plays a crucial role in supporting the company's core products, Revenue Cycle Management (RCM) and Ambient, by ensuring seamless data flow between our platform and over 40 Electronic Medical Records (EMRs). This team is responsible for fetching vital Encounter and Appointment data from multiple EMRs and, when necessary, writing data back to these systems. The team's work ensures the interoperability and smooth exchange of healthcare data via HL7, enabling healthcare providers to deliver more efficient and accurate care while streamlining administrative processes. We're looking for a Staff Software Engineer who takes ownership end-to-end, moves fast, and wants their work to directly impact how care is delivered. What You'll Do Design and implement complex integration solutions between our platform and third-party healthcare systems (EHRs, insurance providers, etc.) while ensuring high performance, reliability, and scalability. Utilize the latest developments in LLM technology to automate the reverse-engineering of electronic health records. Collaborate with cross-functional teams (product, engineering, and healthcare) to gather integration requirements, define technical approaches, and prioritize tasks based on business needs. Contribute to the technical direction of the integration platform by proposing and implementing improvements to architecture, tools, and technologies. Take ownership of end-to-end integration workflows, from design and development through to deployment and post-launch monitoring. Identify and resolve performance bottlenecks, troubleshoot integration issues, and proactively improve the reliability of integrations in production environments. Ensure all integration work adheres to healthcare compliance and security standards (e.g., HIPAA, HL7, FHIR) and collaborate with security teams to protect sensitive data. Work closely with junior engineers to provide technical guidance and mentorship, helping them solve problems and ensuring high-quality code standards are followed. Drive the implementation of best practices for integration development, including testing, error handling, version control, and continuous integration. Collaborate with DevOps and QA teams to implement monitoring and alerting systems that ensure integration reliability and system health in production. Stay up-to-date with industry trends in healthcare technology, integration patterns, and emerging tools, continuously suggesting and applying innovations that can improve system performance and integration capabilities. Participate in agile development cycles, contributing to sprint planning, retrospectives, and maintaining a collaborative and efficient working environment What You Have Required Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent extensive experience 10+ years of professional software development industry experience Proficiency in backend languages like Python, Go, or C++. Proficiency in frontend languages like Javascript, HTML, CSS Experience including but not limited to Git, GCP / AWS, Docker, Kubernetes, relational and non-relational DBs, and monitoring/alerting tools Proven track record of designing and implementing end-to-end solutions and making successful architectural decisions Excellent communication and collaboration skills, with the ability to work in a fast-paced, dynamic environment. Please be aware that all official communication from us will come exclusively from email addresses ending in @ . Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization's information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis. Compensation Range: $170K - $240K
Job Description Job Description Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Are you a passionate and innovative engineer looking to help develop state-of-the-art AI and robotics products? Are you eager to make a positive difference in the world? Do you want to work alongside mission-driven and values-focused teammates? Shield AI is just the place for you! The Hivemind Quality team is committed to ensuring our autonomy platform delivers a seamless developer experience and enables customers to build world-class autonomous systems. We focus on integrating, validating, and continuously improving the Hivemind ecosystem-spanning autonomy behaviors, sensor processing, multi-agent coordination, ground-control systems, and embedded platforms. Our mission is to ensure that autonomy developers can efficiently build, test, and deploy autonomous applications that meet real-world mission objectives. We are seeking an experienced Software Integration Engineer passionate about autonomy development. In this role, you will become a power user of the Hivemind SDK, deeply understanding its capabilities and identifying gaps from a customer perspective. You will develop and validate customer use cases, evaluate the ease of use for autonomy developers, and provide actionable feedback to Engineering and Product teams. You will play a critical role in integrating new autonomy capabilities into the platform, assessing feature completeness, and anticipating novel customer workflows and edge cases. This position bridges the gap between engineering development and real-world autonomy applications-ensuring our platform empowers customers to build reliable, mission-ready autonomous systems. What you'll do: Become a systems integration expert for autonomous robotics: Develop deep expertise in our AI-powered autonomy stack. Learn to configure, deploy, and integrate multi-agent systems across simulation, hardware-in-the-loop, and flight platforms. Understand the full system end-to-end-from sensor inputs to autonomous behaviors. Integrate new capabilities into the autonomy stack: Collaborate cross-functionally with development teams to bring autonomy algorithms, perception pipelines, middleware, and platform interfaces into the integrated product. Ensure seamless interoperability between components. Enable platform bring-up and validation: Lead the integration of autonomy software onto new robotic hardware platforms. Configure sensor drivers, communication interfaces, and platform adapters to enable full autonomy stack functionality on prototype and production vehicles. Develop integration tooling & infrastructure: Architect and implement integration frameworks, deployment scripts, and configuration management tools that streamline bringing new capabilities into Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), and flight environments. Support cross-platform compatibility: Work with other integration engineers to ensure the autonomy stack operates reliably across all supported platforms, operating systems, and deployment configurations. Identify and resolve integration issues across system boundaries. Analyze system behavior and root-cause issues: Evaluate system logs, telemetry, and rosbag data to diagnose integration defects. Collaborate with developers to isolate issues to specific subsystems and drive resolution. Create analysis tooling to accelerate debugging. Optimize integration workflows and CI/CD: Partner with DevOps teams to streamline integration pipelines, reduce build-to-deploy cycle times, and ensure robust continuous integration of new features. Define integration checkpoints and criteria for release readiness. Validate system requirements and interface contracts: Work with engineers to ensure integrated capabilities meet product requirements and interface specifications. Assist in developing tooling to verify end-to-end system compliance and traceability. Required qualifications: Typically requires a minimum of 7 years of related experience with a bachelor's degree in CS, Comp Eng, Robotics, or a related field; or 6 years and a master's degree; or 4 years with a PhD. Proficiency in programming languages including Python or C++. Experience with autonomous systems or server applications or middleware. Demonstrated experience designing integration workflows, communicating system dependencies, and triaging and reporting integration defects across subsystem boundaries. Proficiency with simulation tools and hardware-in-the-loop (HIL) testing environments. Strong expertise with CI/CD pipelines. Strong problem-solving skills and a proven track record of delivering high-quality software solutions. Excellent communication skills, capable of collaborating effectively across various teams and presenting to customers or technical leadership. Preferred qualifications: Demonstrated experience building complex systems with a strong understanding of software architecture and design principles. Experience with hardware or embedded systems. Expert knowledge of Python. Experience with ROS. Experience with white box testing Familiarity with networking, operating-systems, and radio communications. Experience designing automated tooling for testing for GUI applications. Experience designing automated tooling for testing server applications. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
08/05/2026
Full time
Job Description Job Description Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Are you a passionate and innovative engineer looking to help develop state-of-the-art AI and robotics products? Are you eager to make a positive difference in the world? Do you want to work alongside mission-driven and values-focused teammates? Shield AI is just the place for you! The Hivemind Quality team is committed to ensuring our autonomy platform delivers a seamless developer experience and enables customers to build world-class autonomous systems. We focus on integrating, validating, and continuously improving the Hivemind ecosystem-spanning autonomy behaviors, sensor processing, multi-agent coordination, ground-control systems, and embedded platforms. Our mission is to ensure that autonomy developers can efficiently build, test, and deploy autonomous applications that meet real-world mission objectives. We are seeking an experienced Software Integration Engineer passionate about autonomy development. In this role, you will become a power user of the Hivemind SDK, deeply understanding its capabilities and identifying gaps from a customer perspective. You will develop and validate customer use cases, evaluate the ease of use for autonomy developers, and provide actionable feedback to Engineering and Product teams. You will play a critical role in integrating new autonomy capabilities into the platform, assessing feature completeness, and anticipating novel customer workflows and edge cases. This position bridges the gap between engineering development and real-world autonomy applications-ensuring our platform empowers customers to build reliable, mission-ready autonomous systems. What you'll do: Become a systems integration expert for autonomous robotics: Develop deep expertise in our AI-powered autonomy stack. Learn to configure, deploy, and integrate multi-agent systems across simulation, hardware-in-the-loop, and flight platforms. Understand the full system end-to-end-from sensor inputs to autonomous behaviors. Integrate new capabilities into the autonomy stack: Collaborate cross-functionally with development teams to bring autonomy algorithms, perception pipelines, middleware, and platform interfaces into the integrated product. Ensure seamless interoperability between components. Enable platform bring-up and validation: Lead the integration of autonomy software onto new robotic hardware platforms. Configure sensor drivers, communication interfaces, and platform adapters to enable full autonomy stack functionality on prototype and production vehicles. Develop integration tooling & infrastructure: Architect and implement integration frameworks, deployment scripts, and configuration management tools that streamline bringing new capabilities into Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), and flight environments. Support cross-platform compatibility: Work with other integration engineers to ensure the autonomy stack operates reliably across all supported platforms, operating systems, and deployment configurations. Identify and resolve integration issues across system boundaries. Analyze system behavior and root-cause issues: Evaluate system logs, telemetry, and rosbag data to diagnose integration defects. Collaborate with developers to isolate issues to specific subsystems and drive resolution. Create analysis tooling to accelerate debugging. Optimize integration workflows and CI/CD: Partner with DevOps teams to streamline integration pipelines, reduce build-to-deploy cycle times, and ensure robust continuous integration of new features. Define integration checkpoints and criteria for release readiness. Validate system requirements and interface contracts: Work with engineers to ensure integrated capabilities meet product requirements and interface specifications. Assist in developing tooling to verify end-to-end system compliance and traceability. Required qualifications: Typically requires a minimum of 7 years of related experience with a bachelor's degree in CS, Comp Eng, Robotics, or a related field; or 6 years and a master's degree; or 4 years with a PhD. Proficiency in programming languages including Python or C++. Experience with autonomous systems or server applications or middleware. Demonstrated experience designing integration workflows, communicating system dependencies, and triaging and reporting integration defects across subsystem boundaries. Proficiency with simulation tools and hardware-in-the-loop (HIL) testing environments. Strong expertise with CI/CD pipelines. Strong problem-solving skills and a proven track record of delivering high-quality software solutions. Excellent communication skills, capable of collaborating effectively across various teams and presenting to customers or technical leadership. Preferred qualifications: Demonstrated experience building complex systems with a strong understanding of software architecture and design principles. Experience with hardware or embedded systems. Expert knowledge of Python. Experience with ROS. Experience with white box testing Familiarity with networking, operating-systems, and radio communications. Experience designing automated tooling for testing for GUI applications. Experience designing automated tooling for testing server applications. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: Sonatus is a global leader in the automotive industry, providing key technologies that enable intelligent AI-defined vehicles. Our solutions are already on the road with millions of vehicles, and we are quickly expanding our offerings for production-grade AI on the Edge. We are looking for a great Senior Staff AI Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during the day-to-day operation, including system logs, traces, and vehicle internal signals (Ethernet and CAN) to detect and predict the health of different sub-systems and anticipate failures in real-time. You will own the end-to-end ML pipeline-from data ingestion and model training to deployment on resource-constrained edge devices and model optimization. You will work in a fast-paced startup environment where your code will directly impact fleet reliability and build the next generation of the self-aware vehicle. You will be expected to collaborate with other leading developers who have a deep understanding and expertise of vehicle software and systems, and other AI developers working on MLOps and integration of AI models on vehicles expected to be on the road today. Expect to experiment with cutting-edge model architectures and best-in-class development tools. This is a hybrid role out of our Sunnyvale, CA, where you will be expected to work in our office 3 days a week. Responsibilities: Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. Integrating ML flows, including cloud-based LLM APIs (Gemini, OpenAI, Claude), with emphasis on synthetic data creation. Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors. Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time-series data from CAN bus and on-board sensors. Implement logic to correlate signal anomalies (e.g., ADAS drifts, sensor spikes, latency jitters) across different modalities with system events to identify root causes. Port and optimize PyTorch/TensorFlow models into production-grade models for execution on CPU/GPU-bound targets or embedded NPUs. Apply quantization, pruning, distillation, and memory optimization to ensure models run within strict RAM/Flash budgets. Define the data strategy for on-device filtering: pre-processing on device and decide which data is processed locally versus processed in the cloud. Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI. Requirements: Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field. 10+ years in Machine Learning Engineering, with 3+ years focused on Edge AI or Embedded Systems. Proven experience mentoring junior engineers in software development. Expert Python (for training) and decent working knowledge of modern C++ (C+/17 for inference). Deep proficiency with PyTorch or TensorFlow, and experience with inference engines like ONNX, TFLite, or TVM. Experience with NLP techniques for textual data parsing, sequence modeling (RNN/GRU), vector store, or lightweight LLMs/SLMs. Experience with libraries like scikit-learn, tslearn, or statsmodels for anomaly detection on sensor data. Proven ability to lead technical projects from concept to production in an ambiguous, fast-paced environment. Ability to communicate with stakeholders and articulate trade-offs. Experience deploying to Edge environments (e.g., ARM-based), managing memory manually, and working with limited compute resources. Candidates with a strong Computer Vision (CV) / ADAS track record are highly encouraged to apply! Desired Skills: MS/PhD in Computer Science, Engineering, or related fields. Familiarity with Edge systems and preferably automotive formats (CAN, DBC, UDS, SOME/IP, or MQTT. Understanding of Linux/QNX kernel logs (dmesg), process states, and OS-level debugging. Experience with NVIDIA TensorRT, Qualcomm SNPE. Sunnyvale HQ Benefits & Perks Offered: Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 14+ paid holidays Hybrid office work arrangement Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowance Phone & Internet reimbursement Computer Accessory Allowance The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,000-$300,000 USD
08/05/2026
Full time
Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: Sonatus is a global leader in the automotive industry, providing key technologies that enable intelligent AI-defined vehicles. Our solutions are already on the road with millions of vehicles, and we are quickly expanding our offerings for production-grade AI on the Edge. We are looking for a great Senior Staff AI Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during the day-to-day operation, including system logs, traces, and vehicle internal signals (Ethernet and CAN) to detect and predict the health of different sub-systems and anticipate failures in real-time. You will own the end-to-end ML pipeline-from data ingestion and model training to deployment on resource-constrained edge devices and model optimization. You will work in a fast-paced startup environment where your code will directly impact fleet reliability and build the next generation of the self-aware vehicle. You will be expected to collaborate with other leading developers who have a deep understanding and expertise of vehicle software and systems, and other AI developers working on MLOps and integration of AI models on vehicles expected to be on the road today. Expect to experiment with cutting-edge model architectures and best-in-class development tools. This is a hybrid role out of our Sunnyvale, CA, where you will be expected to work in our office 3 days a week. Responsibilities: Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. Integrating ML flows, including cloud-based LLM APIs (Gemini, OpenAI, Claude), with emphasis on synthetic data creation. Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors. Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time-series data from CAN bus and on-board sensors. Implement logic to correlate signal anomalies (e.g., ADAS drifts, sensor spikes, latency jitters) across different modalities with system events to identify root causes. Port and optimize PyTorch/TensorFlow models into production-grade models for execution on CPU/GPU-bound targets or embedded NPUs. Apply quantization, pruning, distillation, and memory optimization to ensure models run within strict RAM/Flash budgets. Define the data strategy for on-device filtering: pre-processing on device and decide which data is processed locally versus processed in the cloud. Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI. Requirements: Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field. 10+ years in Machine Learning Engineering, with 3+ years focused on Edge AI or Embedded Systems. Proven experience mentoring junior engineers in software development. Expert Python (for training) and decent working knowledge of modern C++ (C+/17 for inference). Deep proficiency with PyTorch or TensorFlow, and experience with inference engines like ONNX, TFLite, or TVM. Experience with NLP techniques for textual data parsing, sequence modeling (RNN/GRU), vector store, or lightweight LLMs/SLMs. Experience with libraries like scikit-learn, tslearn, or statsmodels for anomaly detection on sensor data. Proven ability to lead technical projects from concept to production in an ambiguous, fast-paced environment. Ability to communicate with stakeholders and articulate trade-offs. Experience deploying to Edge environments (e.g., ARM-based), managing memory manually, and working with limited compute resources. Candidates with a strong Computer Vision (CV) / ADAS track record are highly encouraged to apply! Desired Skills: MS/PhD in Computer Science, Engineering, or related fields. Familiarity with Edge systems and preferably automotive formats (CAN, DBC, UDS, SOME/IP, or MQTT. Understanding of Linux/QNX kernel logs (dmesg), process states, and OS-level debugging. Experience with NVIDIA TensorRT, Qualcomm SNPE. Sunnyvale HQ Benefits & Perks Offered: Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 14+ paid holidays Hybrid office work arrangement Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowance Phone & Internet reimbursement Computer Accessory Allowance The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,000-$300,000 USD
Job Description Job Description About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference . Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary We are using AI to build AI chips. AI agents are starting to genuinely work for verification, debug, and EDA flows - we want someone to bring that inside Etched and push past it. As an Applied AI Engineer, you will embed with our hardware teams - RTL design, verification, DFT, physical design, and silicon validation - and build the agents and tooling that multiply their output. You'll wire LLM agents into simulators, regressions, waveform and log analysis, EDA flows, and bring-up workflows, and own the evals that separate demos from tools engineers actually rely on. This is an internal, force-multiplier role: your success is measured by how much faster the chip team moves, not by lines of code you ship yourself. It is not a customer-facing role and not about inference serving - it's AI applied to how we build the chip itself. You do not need to be a chip designer or a traditional software engineer - you need to be an exceptional problem solver who has shipped real agentic systems, works comfortably across stacks and domains, and uses AI to ramp on hard new problems fast. Key responsibilities Build, deploy, and maintain LLM-agent workflows that accelerate chip development: debug triage, testbench and coverage work, log/waveform analysis, EDA script generation, and engineering knowledge retrieval Embed with hardware teams to find the highest-leverage pain points, then turn them into automated workflows with measurable adoption Design rigorous evals for agent performance on real silicon-engineering tasks - not proxy metrics - and use them to drive iteration Integrate agents with our internal infrastructure: simulation and emulation flows, CI/regression systems, lab equipment, and issue tracking, via tool-calling and MCP Champion adoption: documentation, training, and fast feedback loops with the engineers who use what you build You may be a good fit if you have A track record of solving hard problems across stacks and domains - you enjoy being dropped into unfamiliar territory and figuring it out Comfort with Python and code: you can read it, modify it, debug it, and direct AI to write it well. We do not care whether you write code from scratch - we care whether you ship things that work Fluency using AI to learn and ramp on new problems - agentic coding tools, deep research, and frontier models are how you work, not an add-on Hands-on experience building and shipping LLM-based agents or AI tooling that real users depend on (beyond calling an API - context engineering, tool integration, orchestration, failure analysis) An eval-driven mindset: you measure whether AI systems actually work before scaling them High agency and comfort with ambiguity - you can find the problem, not just solve the stated one Interest in chip development and the ability to ramp quickly on a deeply technical domain. Hardware experience is a real plus, but not required - you will be willing and able to learn quickly Strong candidates may also have experience with Chip development in any form (the strongest plus): RTL/SystemVerilog, functional verification (UVM), DFT, physical design/STA, FPGA, emulation, or silicon bring-up and validation EDA tool flows and Tcl scripting; reading waveforms, logs, and regressions Fine-tuning or post-training (SFT, RLHF/DPO), RAG over proprietary technical data, or multi-agent orchestration Deep software engineering: C++ or Rust, developer-facing internal platforms, CI/CD at scale, or infrastructure (Docker, Slurm, Ray) Representative projects In your first 30 days, pick one hardware team's worst recurring pain, ship an agent for it, and prove adoption with usage data Build an agent that triages overnight regression failures, clusters them by root cause, and drafts bug reports with waveform and log evidence attached Wire Claude Code-style agents into our EDA and validation flows via MCP so engineers can drive simulations, queries, and lab equipment from natural language Create a retrieval system over our specs, design docs, and past debug history that cuts ramp time for new engineers Design an eval suite that measures agent performance on real verification and debug tasks, and use it to decide which workflows to automate next Prototype AlphaEvolve-style optimization loops that propose and automatically verify improvements to test programs or flow scripts Benefits Full medical, dental, and vision packages, with generous premium coverage Housing subsidy of $2,000/month for those living within walking distance of the office Daily lunch and dinner in our office Relocation support for those moving to San Jose (Santana Row) Unlimited compute budget subject to ROI justification How we're different Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference, unlike many of our competitors. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed. Compensation Range: $150K - $275K
08/05/2026
Full time
Job Description Job Description About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference . Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary We are using AI to build AI chips. AI agents are starting to genuinely work for verification, debug, and EDA flows - we want someone to bring that inside Etched and push past it. As an Applied AI Engineer, you will embed with our hardware teams - RTL design, verification, DFT, physical design, and silicon validation - and build the agents and tooling that multiply their output. You'll wire LLM agents into simulators, regressions, waveform and log analysis, EDA flows, and bring-up workflows, and own the evals that separate demos from tools engineers actually rely on. This is an internal, force-multiplier role: your success is measured by how much faster the chip team moves, not by lines of code you ship yourself. It is not a customer-facing role and not about inference serving - it's AI applied to how we build the chip itself. You do not need to be a chip designer or a traditional software engineer - you need to be an exceptional problem solver who has shipped real agentic systems, works comfortably across stacks and domains, and uses AI to ramp on hard new problems fast. Key responsibilities Build, deploy, and maintain LLM-agent workflows that accelerate chip development: debug triage, testbench and coverage work, log/waveform analysis, EDA script generation, and engineering knowledge retrieval Embed with hardware teams to find the highest-leverage pain points, then turn them into automated workflows with measurable adoption Design rigorous evals for agent performance on real silicon-engineering tasks - not proxy metrics - and use them to drive iteration Integrate agents with our internal infrastructure: simulation and emulation flows, CI/regression systems, lab equipment, and issue tracking, via tool-calling and MCP Champion adoption: documentation, training, and fast feedback loops with the engineers who use what you build You may be a good fit if you have A track record of solving hard problems across stacks and domains - you enjoy being dropped into unfamiliar territory and figuring it out Comfort with Python and code: you can read it, modify it, debug it, and direct AI to write it well. We do not care whether you write code from scratch - we care whether you ship things that work Fluency using AI to learn and ramp on new problems - agentic coding tools, deep research, and frontier models are how you work, not an add-on Hands-on experience building and shipping LLM-based agents or AI tooling that real users depend on (beyond calling an API - context engineering, tool integration, orchestration, failure analysis) An eval-driven mindset: you measure whether AI systems actually work before scaling them High agency and comfort with ambiguity - you can find the problem, not just solve the stated one Interest in chip development and the ability to ramp quickly on a deeply technical domain. Hardware experience is a real plus, but not required - you will be willing and able to learn quickly Strong candidates may also have experience with Chip development in any form (the strongest plus): RTL/SystemVerilog, functional verification (UVM), DFT, physical design/STA, FPGA, emulation, or silicon bring-up and validation EDA tool flows and Tcl scripting; reading waveforms, logs, and regressions Fine-tuning or post-training (SFT, RLHF/DPO), RAG over proprietary technical data, or multi-agent orchestration Deep software engineering: C++ or Rust, developer-facing internal platforms, CI/CD at scale, or infrastructure (Docker, Slurm, Ray) Representative projects In your first 30 days, pick one hardware team's worst recurring pain, ship an agent for it, and prove adoption with usage data Build an agent that triages overnight regression failures, clusters them by root cause, and drafts bug reports with waveform and log evidence attached Wire Claude Code-style agents into our EDA and validation flows via MCP so engineers can drive simulations, queries, and lab equipment from natural language Create a retrieval system over our specs, design docs, and past debug history that cuts ramp time for new engineers Design an eval suite that measures agent performance on real verification and debug tasks, and use it to decide which workflows to automate next Prototype AlphaEvolve-style optimization loops that propose and automatically verify improvements to test programs or flow scripts Benefits Full medical, dental, and vision packages, with generous premium coverage Housing subsidy of $2,000/month for those living within walking distance of the office Daily lunch and dinner in our office Relocation support for those moving to San Jose (Santana Row) Unlimited compute budget subject to ROI justification How we're different Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference, unlike many of our competitors. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed. Compensation Range: $150K - $275K
Job Description Job Description Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide. Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves. Five9 is one of the world's leading cloud contact center platforms. Our AI-powered Automated Quality Management (AQM) product is transforming how enterprises measure, evaluate, and improve agent and interaction quality at scale. As we build out our dedicated AQM Prompt Engineering capability within Specialized Services, we are hiring a Senior WEM AQM Prompt Engineer to lead and shape this practice. This senior role goes beyond hands-on prompt design. You will be the technical authority for Five9 AQM prompt engineering - setting standards, building reusable assets, mentoring the Prompt Engineer team, and acting as the go-to expert for complex customer escalations and pre-sales engagements. If you have spent a significant portion of your career building sophisticated Speech Analytics programs in Verint, NICE, or Genesys - and you have developed serious prompt engineering skills alongside that domain expertise - this role was designed for you. Why Your Speech Analytics Background is the Foundation for This Role Building effective AQM prompts follows the same disciplined, iterative methodology that defines expert-level Speech Analytics category design: Speech Analytics / Verint AQMFive9 AQM Prompt EngineeringDefine category intent & scopeDefine prompt intent & evaluation scopeSelect & tag representative call samplesSelect evaluation call samplesIteratively tune keyword / phrase setsIteratively refine prompt wording & logicTest against live call trafficTest prompt outputs against real callsValidate recall & precision metricsValidate pass / fail accuracy metricsDocument & hand off to QA teamDocument prompts for QA workflow At the senior level, this role adds a leadership and practice-building dimension: you will set the standards the rest of the Prompt Engineering team follows and serve as the technical authority across the most complex customer engagements. Key Responsibilities - Practice Leadership • Serve as the technical lead and subject matter authority for Five9 AQM Prompt Engineering within Specialized Services. • Define and own the prompt engineering methodology, standards, quality gates, and best practice documentation for the team. • Build and maintain a curated, reusable prompt library of validated evaluation templates spanning key verticals and QM use cases. • Mentor and technically guide the WEM AQM Prompt Engineer team (x3), conducting prompt reviews and providing structured feedback. • Drive continuous improvement of the team's prompt design process based on performance data, customer outcomes, and LLM platform developments. Key Responsibilities - Customer Delivery • Lead prompt engineering on the most complex and high-value AQM customer engagements, from initial scoping through production deployment. • Act as the senior escalation point for prompt performance issues, failure analysis, and remediation on live customer deployments. • Partner with customers at senior stakeholder level to translate QM strategy and compliance requirements into precise, measurable AQM evaluation criteria. • Design and execute prompt validation frameworks - including representative call sampling, precision/recall analysis, and A/B prompt testing - to ensure accuracy before production release. Key Responsibilities - Product & Pre-Sales Collaboration • Serve as the Prompt Engineering SME in pre-sales engagements, demonstrating Five9 AQM capabilities and advising prospective customers on prompt-driven evaluation design. • Provide structured product feedback to the Five9 AQM product team based on field experience, identifying gaps, limitations, and enhancement opportunities. • Develop and deliver internal training and enablement for consultants and implementation staff on AQM prompt engineering techniques. • Represent the Prompt Engineering practice in cross-functional forums and contribute to go-to-market materials, customer case studies, and thought leadership content. Key Requirements • Minimum 5 years' hands-on experience as a Speech Analytics Lead, Senior QM Analyst, or WEM Consultant with deep expertise in category/topic design, program governance, and optimization in Verint (Categories/Category Sets), NICE CXne (Category Sets), Genesys (Topics), or equivalent - at a seniority level sufficient to have owned or led an analytics program. • Formal prompt engineering qualification or a verifiable, substantive portfolio of production-grade prompt design work, including evidence of iterative refinement, performance measurement, and documentation. • Demonstrable understanding of LLM behavior - including how prompt structure, instruction framing, persona assignment, chain-of-thought, and few-shot examples affect model outputs. • Strong background in Quality Management design: experience building evaluation frameworks, scorecard design, calibration processes, and QM governance. • Experience leading or mentoring technical team members in a delivery or consulting environment. • Proven track record of translating complex business requirements into structured, testable, and scalable technical solutions. • Excellent written and verbal communication skills; comfortable presenting to senior client stakeholders and internal leadership. • BA/BS or equivalent experience; advanced degree in a relevant discipline is advantageous. Preferred Qualifications • Formal prompt engineering certification: DeepLearning.AI Prompt Engineering for Developers, Anthropic Prompt Engineering, OpenAI Prompt Engineering, DAIR.AI Prompt Engineering Guide, or equivalent industry-recognized program. • Direct experience with one or more leading LLM platforms at an advanced level (OpenAI GPT-4+, Anthropic Claude, Google Gemini, Meta Llama, or similar), including API usage, system prompt design, and evaluation harness development. • Prior hands-on experience with Five9 AQM or another AI-native QM solution (e.g., NICE Enlighten QM, Genesys Cloud AI Quality, Medallia, Qualtrics). • Experience contributing to or owning a Speech Analytics or QM center of excellence - including methodology documentation, internal training, and cross-client best practice standardization. • Familiarity with prompt evaluation frameworks (e.g., LLM-as-judge, human-in-the-loop evaluation pipelines, or equivalent). • Exposure to NLP concepts - tokenization, embeddings, semantic similarity - sufficient to reason about why a prompt succeeds or fails. • Experience with JSON, Python scripting, or no-code automation tools as applied to prompt testing and workflow automation. • Background in contact center compliance-driven QM (financial services, healthcare, utilities) where regulatory accuracy requirements add additional complexity to evaluation design. Key Competencies • Technical Authority - recognized internally and externally as the go-to expert on LLM prompt design for contact Centre quality evaluation. • Analytical Rigor - applies statistical thinking and structured measurement to validate and continuously improve prompt performance. • Linguistic Mastery - exceptional command of written instruction; understands how nuance, framing, and ambiguity in prompt language directly influence AI outputs. • Leadership & Coaching - ability to elevate the capability of others through structured mentoring, peer review, and knowledge transfer. • Strategic Customer Engagement - trusted advisor to senior client stakeholders on the use of AI in quality management. • Innovation Orientation - proactively monitors the LLM landscape and identifies opportunities to improve Five9 AQM prompt design practices. • Operational Excellence - drives the team toward repeatable, scalable processes without sacrificing quality or creativity. About Five9 WEM Specialized Services The Specialized Services team within Five9 Professional Services delivers expert-led implementation, optimization, and advisory engagements across the Five9 WEM portfolio. Our AQM Prompt Engineering practice is a newly established Centre of excellence, designed to ensure that customers realize the full potential of Five9's AI-powered quality management capabilities. As the founding senior hire into this practice, the Senior WEM AQM Prompt Engineer will have a rare opportunity to define how prompt engineering is done at Five9 - and to build something genuinely new. Work Location: This role is fully remote for candidates who reside outside the 30 mile radius of one of our offices. For candidates who reside within a 30 mile radius of one of our offices, this role is Hybrid and would require 3 days a week (T, W, TH) in office. As part of our continued commitment to diversity, equity, and inclusion, Five9 supports pay transparency during the entire recruitment process. Actual compensation packages are based on several factors that are unique to each candidate including, but not limited to: skill set, depth of experience, certifications, and specific work location. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the United States. Your recruiter can share more about the specific compensation package during your hiring process. Additionally . click apply for full job details
08/05/2026
Full time
Job Description Job Description Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide. Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves. Five9 is one of the world's leading cloud contact center platforms. Our AI-powered Automated Quality Management (AQM) product is transforming how enterprises measure, evaluate, and improve agent and interaction quality at scale. As we build out our dedicated AQM Prompt Engineering capability within Specialized Services, we are hiring a Senior WEM AQM Prompt Engineer to lead and shape this practice. This senior role goes beyond hands-on prompt design. You will be the technical authority for Five9 AQM prompt engineering - setting standards, building reusable assets, mentoring the Prompt Engineer team, and acting as the go-to expert for complex customer escalations and pre-sales engagements. If you have spent a significant portion of your career building sophisticated Speech Analytics programs in Verint, NICE, or Genesys - and you have developed serious prompt engineering skills alongside that domain expertise - this role was designed for you. Why Your Speech Analytics Background is the Foundation for This Role Building effective AQM prompts follows the same disciplined, iterative methodology that defines expert-level Speech Analytics category design: Speech Analytics / Verint AQMFive9 AQM Prompt EngineeringDefine category intent & scopeDefine prompt intent & evaluation scopeSelect & tag representative call samplesSelect evaluation call samplesIteratively tune keyword / phrase setsIteratively refine prompt wording & logicTest against live call trafficTest prompt outputs against real callsValidate recall & precision metricsValidate pass / fail accuracy metricsDocument & hand off to QA teamDocument prompts for QA workflow At the senior level, this role adds a leadership and practice-building dimension: you will set the standards the rest of the Prompt Engineering team follows and serve as the technical authority across the most complex customer engagements. Key Responsibilities - Practice Leadership • Serve as the technical lead and subject matter authority for Five9 AQM Prompt Engineering within Specialized Services. • Define and own the prompt engineering methodology, standards, quality gates, and best practice documentation for the team. • Build and maintain a curated, reusable prompt library of validated evaluation templates spanning key verticals and QM use cases. • Mentor and technically guide the WEM AQM Prompt Engineer team (x3), conducting prompt reviews and providing structured feedback. • Drive continuous improvement of the team's prompt design process based on performance data, customer outcomes, and LLM platform developments. Key Responsibilities - Customer Delivery • Lead prompt engineering on the most complex and high-value AQM customer engagements, from initial scoping through production deployment. • Act as the senior escalation point for prompt performance issues, failure analysis, and remediation on live customer deployments. • Partner with customers at senior stakeholder level to translate QM strategy and compliance requirements into precise, measurable AQM evaluation criteria. • Design and execute prompt validation frameworks - including representative call sampling, precision/recall analysis, and A/B prompt testing - to ensure accuracy before production release. Key Responsibilities - Product & Pre-Sales Collaboration • Serve as the Prompt Engineering SME in pre-sales engagements, demonstrating Five9 AQM capabilities and advising prospective customers on prompt-driven evaluation design. • Provide structured product feedback to the Five9 AQM product team based on field experience, identifying gaps, limitations, and enhancement opportunities. • Develop and deliver internal training and enablement for consultants and implementation staff on AQM prompt engineering techniques. • Represent the Prompt Engineering practice in cross-functional forums and contribute to go-to-market materials, customer case studies, and thought leadership content. Key Requirements • Minimum 5 years' hands-on experience as a Speech Analytics Lead, Senior QM Analyst, or WEM Consultant with deep expertise in category/topic design, program governance, and optimization in Verint (Categories/Category Sets), NICE CXne (Category Sets), Genesys (Topics), or equivalent - at a seniority level sufficient to have owned or led an analytics program. • Formal prompt engineering qualification or a verifiable, substantive portfolio of production-grade prompt design work, including evidence of iterative refinement, performance measurement, and documentation. • Demonstrable understanding of LLM behavior - including how prompt structure, instruction framing, persona assignment, chain-of-thought, and few-shot examples affect model outputs. • Strong background in Quality Management design: experience building evaluation frameworks, scorecard design, calibration processes, and QM governance. • Experience leading or mentoring technical team members in a delivery or consulting environment. • Proven track record of translating complex business requirements into structured, testable, and scalable technical solutions. • Excellent written and verbal communication skills; comfortable presenting to senior client stakeholders and internal leadership. • BA/BS or equivalent experience; advanced degree in a relevant discipline is advantageous. Preferred Qualifications • Formal prompt engineering certification: DeepLearning.AI Prompt Engineering for Developers, Anthropic Prompt Engineering, OpenAI Prompt Engineering, DAIR.AI Prompt Engineering Guide, or equivalent industry-recognized program. • Direct experience with one or more leading LLM platforms at an advanced level (OpenAI GPT-4+, Anthropic Claude, Google Gemini, Meta Llama, or similar), including API usage, system prompt design, and evaluation harness development. • Prior hands-on experience with Five9 AQM or another AI-native QM solution (e.g., NICE Enlighten QM, Genesys Cloud AI Quality, Medallia, Qualtrics). • Experience contributing to or owning a Speech Analytics or QM center of excellence - including methodology documentation, internal training, and cross-client best practice standardization. • Familiarity with prompt evaluation frameworks (e.g., LLM-as-judge, human-in-the-loop evaluation pipelines, or equivalent). • Exposure to NLP concepts - tokenization, embeddings, semantic similarity - sufficient to reason about why a prompt succeeds or fails. • Experience with JSON, Python scripting, or no-code automation tools as applied to prompt testing and workflow automation. • Background in contact center compliance-driven QM (financial services, healthcare, utilities) where regulatory accuracy requirements add additional complexity to evaluation design. Key Competencies • Technical Authority - recognized internally and externally as the go-to expert on LLM prompt design for contact Centre quality evaluation. • Analytical Rigor - applies statistical thinking and structured measurement to validate and continuously improve prompt performance. • Linguistic Mastery - exceptional command of written instruction; understands how nuance, framing, and ambiguity in prompt language directly influence AI outputs. • Leadership & Coaching - ability to elevate the capability of others through structured mentoring, peer review, and knowledge transfer. • Strategic Customer Engagement - trusted advisor to senior client stakeholders on the use of AI in quality management. • Innovation Orientation - proactively monitors the LLM landscape and identifies opportunities to improve Five9 AQM prompt design practices. • Operational Excellence - drives the team toward repeatable, scalable processes without sacrificing quality or creativity. About Five9 WEM Specialized Services The Specialized Services team within Five9 Professional Services delivers expert-led implementation, optimization, and advisory engagements across the Five9 WEM portfolio. Our AQM Prompt Engineering practice is a newly established Centre of excellence, designed to ensure that customers realize the full potential of Five9's AI-powered quality management capabilities. As the founding senior hire into this practice, the Senior WEM AQM Prompt Engineer will have a rare opportunity to define how prompt engineering is done at Five9 - and to build something genuinely new. Work Location: This role is fully remote for candidates who reside outside the 30 mile radius of one of our offices. For candidates who reside within a 30 mile radius of one of our offices, this role is Hybrid and would require 3 days a week (T, W, TH) in office. As part of our continued commitment to diversity, equity, and inclusion, Five9 supports pay transparency during the entire recruitment process. Actual compensation packages are based on several factors that are unique to each candidate including, but not limited to: skill set, depth of experience, certifications, and specific work location. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the United States. Your recruiter can share more about the specific compensation package during your hiring process. Additionally . click apply for full job details
Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: We are seeking a Senior Staff AI Engineer with a combination of architectural expertise and production rigor to lead the development of an Agentic Framework to support our AI applications. In this role, you will be the technical anchor for our AI offerings, working to deliver a production-grade Agentic Operating Layer for software-defined vehicles. This is a 50% Architecture / 50% Implementation position. You will be responsible for designing and implementing an extensible architecture that bridges high-velocity vehicle telemetry with sophisticated AI reasoning. We need a leader who is collaborative by nature but decisive in execution-someone who can drive architectural consensus and take full accountability for the performance, safety, and scalability of the resulting system. Responsibilities: Lead the architecture and design of an extensible AI platform. Drive architectural consensus across teams on AI-core decisions to ensure platform unification. Lead the development of agentic orchestration by designing and implementing mission-critical components that allow AI agents to decompose complex goals into actionable sub-tasks. Design and implement a versioned prompt registry allowing for model-agnostic routing and A/B testing of system prompts Engineer the privacy shield for PII redaction and the hallucination verifier to audit AI-generated actions before execution Conduct the full cycle of data modeling and algorithm development, including modeling, training, tuning, validating, deploying, and maintaining services (AI breadth). Strong domain expertise in the AI area, including LLM, RAG, fine-tune large models, traditional ML models, etc. (AI depth) Stay current with industry trends and advancements in data science and AI technologies. (State-of-the-Art) Perform data analysis and offer insights to inform business decisions across multiple domains. Adhere to data privacy and security protocols to uphold the confidentiality of sensitive information. Document and communicate technical designs, processes, and best practices to stakeholders using visualizations and presentations. Take charge of projects, ensuring timely completion in a dynamic work environment. Qualifications: Master's or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field preferred. Bachelor's degree required. 10+ years of software engineering experience with 4+ years dedicated to shipping production-scale AI/Agentic systems. You have a track record of moving projects from whiteboards to global cloud deployments. Strong programming skills in languages such as Python, Java, or C++, with hands-on experience in relevant frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Expert-level experience with stateful orchestration frameworks (e.g., LangGraph, AutoGen, or similar). You understand the nuances of managing state across complex, multi-step AI missions. Strong experience grounding AI in structured/unstructured Big Data environments. Practical knowledge of traditional databases, streaming analytics, and Vector databases. Proven experience building multi-agent systems and frameworks with adaptive orchestration Deep understanding of Jailbreak Detection (e.g., LlamaGuard) and PII masking techniques to ensure safe LLM interactions in regulated environments In-depth knowledge and understanding of current machine learning algorithms, AI technologies, and platforms. Solid experience in data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus. Strong knowledge of software development best practices, version control systems, and agile methodologies. Results-driven with a positive can-do attitude and excellent problem-solving skills. Exceptional verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams. Experience in the automotive industry is highly desirable. Experience building multi-tenant "Platform-as-a-Service" (PaaS) models is desirable. Benefits Offered: Competitive compensation and equity program Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 15 paid holidays Hybrid office work arrangement/flexibility Perk Offerings include: Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowances (towards gym membership and fitness programs) Internet reimbursement Computer Accessory Allowance Employee Engagement Offerings: Departmental team building and outings Employee Referral Program Culture/Employee Satisfaction Surveys - Feedback matters! The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,500-$300,000 USD
08/05/2026
Full time
Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: We are seeking a Senior Staff AI Engineer with a combination of architectural expertise and production rigor to lead the development of an Agentic Framework to support our AI applications. In this role, you will be the technical anchor for our AI offerings, working to deliver a production-grade Agentic Operating Layer for software-defined vehicles. This is a 50% Architecture / 50% Implementation position. You will be responsible for designing and implementing an extensible architecture that bridges high-velocity vehicle telemetry with sophisticated AI reasoning. We need a leader who is collaborative by nature but decisive in execution-someone who can drive architectural consensus and take full accountability for the performance, safety, and scalability of the resulting system. Responsibilities: Lead the architecture and design of an extensible AI platform. Drive architectural consensus across teams on AI-core decisions to ensure platform unification. Lead the development of agentic orchestration by designing and implementing mission-critical components that allow AI agents to decompose complex goals into actionable sub-tasks. Design and implement a versioned prompt registry allowing for model-agnostic routing and A/B testing of system prompts Engineer the privacy shield for PII redaction and the hallucination verifier to audit AI-generated actions before execution Conduct the full cycle of data modeling and algorithm development, including modeling, training, tuning, validating, deploying, and maintaining services (AI breadth). Strong domain expertise in the AI area, including LLM, RAG, fine-tune large models, traditional ML models, etc. (AI depth) Stay current with industry trends and advancements in data science and AI technologies. (State-of-the-Art) Perform data analysis and offer insights to inform business decisions across multiple domains. Adhere to data privacy and security protocols to uphold the confidentiality of sensitive information. Document and communicate technical designs, processes, and best practices to stakeholders using visualizations and presentations. Take charge of projects, ensuring timely completion in a dynamic work environment. Qualifications: Master's or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field preferred. Bachelor's degree required. 10+ years of software engineering experience with 4+ years dedicated to shipping production-scale AI/Agentic systems. You have a track record of moving projects from whiteboards to global cloud deployments. Strong programming skills in languages such as Python, Java, or C++, with hands-on experience in relevant frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Expert-level experience with stateful orchestration frameworks (e.g., LangGraph, AutoGen, or similar). You understand the nuances of managing state across complex, multi-step AI missions. Strong experience grounding AI in structured/unstructured Big Data environments. Practical knowledge of traditional databases, streaming analytics, and Vector databases. Proven experience building multi-agent systems and frameworks with adaptive orchestration Deep understanding of Jailbreak Detection (e.g., LlamaGuard) and PII masking techniques to ensure safe LLM interactions in regulated environments In-depth knowledge and understanding of current machine learning algorithms, AI technologies, and platforms. Solid experience in data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus. Strong knowledge of software development best practices, version control systems, and agile methodologies. Results-driven with a positive can-do attitude and excellent problem-solving skills. Exceptional verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams. Experience in the automotive industry is highly desirable. Experience building multi-tenant "Platform-as-a-Service" (PaaS) models is desirable. Benefits Offered: Competitive compensation and equity program Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 15 paid holidays Hybrid office work arrangement/flexibility Perk Offerings include: Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowances (towards gym membership and fitness programs) Internet reimbursement Computer Accessory Allowance Employee Engagement Offerings: Departmental team building and outings Employee Referral Program Culture/Employee Satisfaction Surveys - Feedback matters! The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,500-$300,000 USD
Job Description Job Description Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. You will be part of an organization with strong leadership and a transparent, respectful culture that enables you to reach your full potential. In this role, you will: Develop, coordinate, and execute verification and validation test plans for Pose monitors using Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) environments. Analyze and triage pipeline results that contribute to key launch-blocking metrics for software and system releases. Collaborate with cross-functional teams, including software developers, hardware engineers, systems engineers, simulation developers, and safety experts, to identify and mitigate risks. Track and report test campaign results to demonstrate feature readiness during safety clearance for each Zoox milestone. Develop metrics and performance benchmarks for V&V campaigns, driving continuous improvement of test coverage and efficiency. Contribute to the development of risk analysis models to quantify behavioral risk when testing gaps exist. Qualifications MS or higher degree in a technical field, such as Mechatronics, Mechanical, Electrical, Aerospace, or Systems Engineering. 5+ years of hands-on systems integration and validation experience (simulation testing, SIL/HIL testing, structured testing, and end-to-end product validation) with a focus on delivering complex systems to production. Proficiency in Python for data analysis, test scripting, and automation. Experience with requirements and test traceability tools such as Polarion, Jama, DOORS, or TestRails. Strong systems-level thinking and the ability to understand and navigate complex technical systems. Basic proficiency with probability and statistics. Ability to grapple with ambiguity and collaborate with cross-functional teams. Bonus Qualifications Experience with autonomous vehicles, robotics, or other safety-critical systems. Experience with simulation environments and hardware-in-the-loop (HIL) testing for pose estimation or perception systems. Experience with fault protection system design and validation. Familiarity with industry safety standards such as ISO 26262, ISO 21448 (SOTIF), ARP 4754, or ARP 4761. Experience with Linux systems and containerized testing environments. Proficiency with SQL for test data analysis. Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
08/05/2026
Full time
Job Description Job Description Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. You will be part of an organization with strong leadership and a transparent, respectful culture that enables you to reach your full potential. In this role, you will: Develop, coordinate, and execute verification and validation test plans for Pose monitors using Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) environments. Analyze and triage pipeline results that contribute to key launch-blocking metrics for software and system releases. Collaborate with cross-functional teams, including software developers, hardware engineers, systems engineers, simulation developers, and safety experts, to identify and mitigate risks. Track and report test campaign results to demonstrate feature readiness during safety clearance for each Zoox milestone. Develop metrics and performance benchmarks for V&V campaigns, driving continuous improvement of test coverage and efficiency. Contribute to the development of risk analysis models to quantify behavioral risk when testing gaps exist. Qualifications MS or higher degree in a technical field, such as Mechatronics, Mechanical, Electrical, Aerospace, or Systems Engineering. 5+ years of hands-on systems integration and validation experience (simulation testing, SIL/HIL testing, structured testing, and end-to-end product validation) with a focus on delivering complex systems to production. Proficiency in Python for data analysis, test scripting, and automation. Experience with requirements and test traceability tools such as Polarion, Jama, DOORS, or TestRails. Strong systems-level thinking and the ability to understand and navigate complex technical systems. Basic proficiency with probability and statistics. Ability to grapple with ambiguity and collaborate with cross-functional teams. Bonus Qualifications Experience with autonomous vehicles, robotics, or other safety-critical systems. Experience with simulation environments and hardware-in-the-loop (HIL) testing for pose estimation or perception systems. Experience with fault protection system design and validation. Familiarity with industry safety standards such as ISO 26262, ISO 21448 (SOTIF), ARP 4754, or ARP 4761. Experience with Linux systems and containerized testing environments. Proficiency with SQL for test data analysis. Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description Job Description Senior Engineer, Internal Tools, Artificial Intelligence (AI) Required, Work From Home The Senior AI Engineer is the engineering backbone of the internal tools team. Building and maintaining the platforms that every team in the company relies on. Your work directly increases organizational efficiency and enables teams to move faster. The Senior AI Engineer will own systems end-to-end, from scoping and architecture through production deployment and iteration, connecting multiple business systems into a seamless, reliable internal ecosystem. This position is 100% Remote. Senior Engineer Responsibilities: Build & Ship: - Design, build, and maintain internal platforms and tools that serve People, Finance, Ops, Sales, and Engineering teams. - Own features, end-to-end requirements, architecture, implementation, testing, deployment, and monitoring. - Write clean, well-tested, production-grade code. You hold yourself to the same bar as customer-facing products. Architecture & Integration: - Build API-first integrations across the internal ecosystem connecting HRIS, CRM, finance platforms, knowledge management, and developer tools into a coherent stack. - Design for reliability, performance, and scale what you build today must hold as the company grows 5-10x. - Eliminate data silos. Build clean data pipelines that maintain a single source of truth across systems. - Own your services in production: monitoring, alerting, incident response, and post-mortems. AI & Automation: - Build AI/LLM-powered features into internal workflows, automating approvals, knowledge retrieval, reporting, content generation, and operational processes. - Move fast from prototype to production. You know the difference between a demo and a system that works at scale. - Stay current on emerging AI capabilities and proactively identify where they unlock step-change improvements in internal productivity. Collaboration & Influence: - Work directly with business stakeholders to understand pain points and translate them into technical solutions. You don't wait for a spec you help shape it. - Pair with and mentor junior engineers. Raise the technical bar through code reviews, design reviews, and leading by example. - Influence technical direction: propose architectural improvements, challenge assumptions, and drive best practices across the team. Qualifications Senior Engineer Qualifications: - 5+ years of professional software engineering experience, with meaningful time spent building internal tools, platforms, or business systems. - Artificial Intelligence (AI) experience required. - Strong full-stack or backend engineering skills. Proficient in at least one of: Python, Go, TypeScript/Node.js, or Java. - Solid understanding of Cloud Infrastructure (GCP/AWS/Azure), Containerization (Docker/Kubernetes), CI/CD Pipelines, and modern DevOps practices. - Hands-on experience building and maintaining API integrations between third-party SaaS platforms (e.g., Workday, Salesforce, Slack, NetSuite). - Strong data fundamentals: relational databases, data modelling, ETL/ELT pipelines, and working knowledge of SQL. - Comfort with ambiguity. You can take a vague business problem, break it down, and deliver a working solution without heavy handholding. - Clear communicator who can explain technical tradeoffs to non-technical stakeholders. - Experience with workflow orchestration tools (Temporal, Airflow, Prefect) or integration platforms (Workato, Tray.io, MuleSoft) is a plus. - Frontend experience with React, Next.js, or equivalent modern frameworks is a plus. - Familiarity with HRIS, ERP, or people systems data models and processes is a plus. - Experience at a high-growth or AI-native company is a plus. - Contributions to developer experience tooling, CLIs, or internal SDKs is a plus. - Experience building or integrating AI/LLM-powered features not just experimenting, but shipping to real users is a plus. Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc. Looking to hire a Senior Engineer in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help. We help companies that are looking to hire Senior Engineers for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Additional Information Please check out all of our jobs at .
08/05/2026
Full time
Job Description Job Description Job Description Senior Engineer, Internal Tools, Artificial Intelligence (AI) Required, Work From Home The Senior AI Engineer is the engineering backbone of the internal tools team. Building and maintaining the platforms that every team in the company relies on. Your work directly increases organizational efficiency and enables teams to move faster. The Senior AI Engineer will own systems end-to-end, from scoping and architecture through production deployment and iteration, connecting multiple business systems into a seamless, reliable internal ecosystem. This position is 100% Remote. Senior Engineer Responsibilities: Build & Ship: - Design, build, and maintain internal platforms and tools that serve People, Finance, Ops, Sales, and Engineering teams. - Own features, end-to-end requirements, architecture, implementation, testing, deployment, and monitoring. - Write clean, well-tested, production-grade code. You hold yourself to the same bar as customer-facing products. Architecture & Integration: - Build API-first integrations across the internal ecosystem connecting HRIS, CRM, finance platforms, knowledge management, and developer tools into a coherent stack. - Design for reliability, performance, and scale what you build today must hold as the company grows 5-10x. - Eliminate data silos. Build clean data pipelines that maintain a single source of truth across systems. - Own your services in production: monitoring, alerting, incident response, and post-mortems. AI & Automation: - Build AI/LLM-powered features into internal workflows, automating approvals, knowledge retrieval, reporting, content generation, and operational processes. - Move fast from prototype to production. You know the difference between a demo and a system that works at scale. - Stay current on emerging AI capabilities and proactively identify where they unlock step-change improvements in internal productivity. Collaboration & Influence: - Work directly with business stakeholders to understand pain points and translate them into technical solutions. You don't wait for a spec you help shape it. - Pair with and mentor junior engineers. Raise the technical bar through code reviews, design reviews, and leading by example. - Influence technical direction: propose architectural improvements, challenge assumptions, and drive best practices across the team. Qualifications Senior Engineer Qualifications: - 5+ years of professional software engineering experience, with meaningful time spent building internal tools, platforms, or business systems. - Artificial Intelligence (AI) experience required. - Strong full-stack or backend engineering skills. Proficient in at least one of: Python, Go, TypeScript/Node.js, or Java. - Solid understanding of Cloud Infrastructure (GCP/AWS/Azure), Containerization (Docker/Kubernetes), CI/CD Pipelines, and modern DevOps practices. - Hands-on experience building and maintaining API integrations between third-party SaaS platforms (e.g., Workday, Salesforce, Slack, NetSuite). - Strong data fundamentals: relational databases, data modelling, ETL/ELT pipelines, and working knowledge of SQL. - Comfort with ambiguity. You can take a vague business problem, break it down, and deliver a working solution without heavy handholding. - Clear communicator who can explain technical tradeoffs to non-technical stakeholders. - Experience with workflow orchestration tools (Temporal, Airflow, Prefect) or integration platforms (Workato, Tray.io, MuleSoft) is a plus. - Frontend experience with React, Next.js, or equivalent modern frameworks is a plus. - Familiarity with HRIS, ERP, or people systems data models and processes is a plus. - Experience at a high-growth or AI-native company is a plus. - Contributions to developer experience tooling, CLIs, or internal SDKs is a plus. - Experience building or integrating AI/LLM-powered features not just experimenting, but shipping to real users is a plus. Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc. Looking to hire a Senior Engineer in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help. We help companies that are looking to hire Senior Engineers for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Additional Information Please check out all of our jobs at .
Job Description Job Description Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide. Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves. Five9 is one of the world's leading cloud contact center platforms. Our AI-powered Automated Quality Management (AQM) product is transforming how enterprises measure, evaluate, and improve agent and interaction quality at scale. As we build out our dedicated AQM Prompt Engineering capability within Specialized Services, we are hiring a Senior WEM AQM Prompt Engineer to lead and shape this practice. This senior role goes beyond hands-on prompt design. You will be the technical authority for Five9 AQM prompt engineering - setting standards, building reusable assets, mentoring the Prompt Engineer team, and acting as the go-to expert for complex customer escalations and pre-sales engagements. If you have spent a significant portion of your career building sophisticated Speech Analytics programs in Verint, NICE, or Genesys - and you have developed serious prompt engineering skills alongside that domain expertise - this role was designed for you. Why Your Speech Analytics Background is the Foundation for This Role Building effective AQM prompts follows the same disciplined, iterative methodology that defines expert-level Speech Analytics category design: Speech Analytics / Verint AQMFive9 AQM Prompt EngineeringDefine category intent & scopeDefine prompt intent & evaluation scopeSelect & tag representative call samplesSelect evaluation call samplesIteratively tune keyword / phrase setsIteratively refine prompt wording & logicTest against live call trafficTest prompt outputs against real callsValidate recall & precision metricsValidate pass / fail accuracy metricsDocument & hand off to QA teamDocument prompts for QA workflow At the senior level, this role adds a leadership and practice-building dimension: you will set the standards the rest of the Prompt Engineering team follows and serve as the technical authority across the most complex customer engagements. Key Responsibilities - Practice Leadership • Serve as the technical lead and subject matter authority for Five9 AQM Prompt Engineering within Specialized Services. • Define and own the prompt engineering methodology, standards, quality gates, and best practice documentation for the team. • Build and maintain a curated, reusable prompt library of validated evaluation templates spanning key verticals and QM use cases. • Mentor and technically guide the WEM AQM Prompt Engineer team (x3), conducting prompt reviews and providing structured feedback. • Drive continuous improvement of the team's prompt design process based on performance data, customer outcomes, and LLM platform developments. Key Responsibilities - Customer Delivery • Lead prompt engineering on the most complex and high-value AQM customer engagements, from initial scoping through production deployment. • Act as the senior escalation point for prompt performance issues, failure analysis, and remediation on live customer deployments. • Partner with customers at senior stakeholder level to translate QM strategy and compliance requirements into precise, measurable AQM evaluation criteria. • Design and execute prompt validation frameworks - including representative call sampling, precision/recall analysis, and A/B prompt testing - to ensure accuracy before production release. Key Responsibilities - Product & Pre-Sales Collaboration • Serve as the Prompt Engineering SME in pre-sales engagements, demonstrating Five9 AQM capabilities and advising prospective customers on prompt-driven evaluation design. • Provide structured product feedback to the Five9 AQM product team based on field experience, identifying gaps, limitations, and enhancement opportunities. • Develop and deliver internal training and enablement for consultants and implementation staff on AQM prompt engineering techniques. • Represent the Prompt Engineering practice in cross-functional forums and contribute to go-to-market materials, customer case studies, and thought leadership content. Key Requirements • Minimum 5 years' hands-on experience as a Speech Analytics Lead, Senior QM Analyst, or WEM Consultant with deep expertise in category/topic design, program governance, and optimization in Verint (Categories/Category Sets), NICE CXne (Category Sets), Genesys (Topics), or equivalent - at a seniority level sufficient to have owned or led an analytics program. • Formal prompt engineering qualification or a verifiable, substantive portfolio of production-grade prompt design work, including evidence of iterative refinement, performance measurement, and documentation. • Demonstrable understanding of LLM behavior - including how prompt structure, instruction framing, persona assignment, chain-of-thought, and few-shot examples affect model outputs. • Strong background in Quality Management design: experience building evaluation frameworks, scorecard design, calibration processes, and QM governance. • Experience leading or mentoring technical team members in a delivery or consulting environment. • Proven track record of translating complex business requirements into structured, testable, and scalable technical solutions. • Excellent written and verbal communication skills; comfortable presenting to senior client stakeholders and internal leadership. • BA/BS or equivalent experience; advanced degree in a relevant discipline is advantageous. Preferred Qualifications • Formal prompt engineering certification: DeepLearning.AI Prompt Engineering for Developers, Anthropic Prompt Engineering, OpenAI Prompt Engineering, DAIR.AI Prompt Engineering Guide, or equivalent industry-recognized program. • Direct experience with one or more leading LLM platforms at an advanced level (OpenAI GPT-4+, Anthropic Claude, Google Gemini, Meta Llama, or similar), including API usage, system prompt design, and evaluation harness development. • Prior hands-on experience with Five9 AQM or another AI-native QM solution (e.g., NICE Enlighten QM, Genesys Cloud AI Quality, Medallia, Qualtrics). • Experience contributing to or owning a Speech Analytics or QM center of excellence - including methodology documentation, internal training, and cross-client best practice standardization. • Familiarity with prompt evaluation frameworks (e.g., LLM-as-judge, human-in-the-loop evaluation pipelines, or equivalent). • Exposure to NLP concepts - tokenization, embeddings, semantic similarity - sufficient to reason about why a prompt succeeds or fails. • Experience with JSON, Python scripting, or no-code automation tools as applied to prompt testing and workflow automation. • Background in contact center compliance-driven QM (financial services, healthcare, utilities) where regulatory accuracy requirements add additional complexity to evaluation design. Key Competencies • Technical Authority - recognized internally and externally as the go-to expert on LLM prompt design for contact Centre quality evaluation. • Analytical Rigor - applies statistical thinking and structured measurement to validate and continuously improve prompt performance. • Linguistic Mastery - exceptional command of written instruction; understands how nuance, framing, and ambiguity in prompt language directly influence AI outputs. • Leadership & Coaching - ability to elevate the capability of others through structured mentoring, peer review, and knowledge transfer. • Strategic Customer Engagement - trusted advisor to senior client stakeholders on the use of AI in quality management. • Innovation Orientation - proactively monitors the LLM landscape and identifies opportunities to improve Five9 AQM prompt design practices. • Operational Excellence - drives the team toward repeatable, scalable processes without sacrificing quality or creativity. About Five9 WEM Specialized Services The Specialized Services team within Five9 Professional Services delivers expert-led implementation, optimization, and advisory engagements across the Five9 WEM portfolio. Our AQM Prompt Engineering practice is a newly established Centre of excellence, designed to ensure that customers realize the full potential of Five9's AI-powered quality management capabilities. As the founding senior hire into this practice, the Senior WEM AQM Prompt Engineer will have a rare opportunity to define how prompt engineering is done at Five9 - and to build something genuinely new. Work Location: This role is fully remote for candidates who reside outside the 30 mile radius of one of our offices. For candidates who reside within a 30 mile radius of one of our offices, this role is Hybrid and would require 3 days a week (T, W, TH) in office. As part of our continued commitment to diversity, equity, and inclusion, Five9 supports pay transparency during the entire recruitment process. Actual compensation packages are based on several factors that are unique to each candidate including, but not limited to: skill set, depth of experience, certifications, and specific work location. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the United States. Your recruiter can share more about the specific compensation package during your hiring process. Additionally . click apply for full job details
08/05/2026
Full time
Job Description Job Description Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide. Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves. Five9 is one of the world's leading cloud contact center platforms. Our AI-powered Automated Quality Management (AQM) product is transforming how enterprises measure, evaluate, and improve agent and interaction quality at scale. As we build out our dedicated AQM Prompt Engineering capability within Specialized Services, we are hiring a Senior WEM AQM Prompt Engineer to lead and shape this practice. This senior role goes beyond hands-on prompt design. You will be the technical authority for Five9 AQM prompt engineering - setting standards, building reusable assets, mentoring the Prompt Engineer team, and acting as the go-to expert for complex customer escalations and pre-sales engagements. If you have spent a significant portion of your career building sophisticated Speech Analytics programs in Verint, NICE, or Genesys - and you have developed serious prompt engineering skills alongside that domain expertise - this role was designed for you. Why Your Speech Analytics Background is the Foundation for This Role Building effective AQM prompts follows the same disciplined, iterative methodology that defines expert-level Speech Analytics category design: Speech Analytics / Verint AQMFive9 AQM Prompt EngineeringDefine category intent & scopeDefine prompt intent & evaluation scopeSelect & tag representative call samplesSelect evaluation call samplesIteratively tune keyword / phrase setsIteratively refine prompt wording & logicTest against live call trafficTest prompt outputs against real callsValidate recall & precision metricsValidate pass / fail accuracy metricsDocument & hand off to QA teamDocument prompts for QA workflow At the senior level, this role adds a leadership and practice-building dimension: you will set the standards the rest of the Prompt Engineering team follows and serve as the technical authority across the most complex customer engagements. Key Responsibilities - Practice Leadership • Serve as the technical lead and subject matter authority for Five9 AQM Prompt Engineering within Specialized Services. • Define and own the prompt engineering methodology, standards, quality gates, and best practice documentation for the team. • Build and maintain a curated, reusable prompt library of validated evaluation templates spanning key verticals and QM use cases. • Mentor and technically guide the WEM AQM Prompt Engineer team (x3), conducting prompt reviews and providing structured feedback. • Drive continuous improvement of the team's prompt design process based on performance data, customer outcomes, and LLM platform developments. Key Responsibilities - Customer Delivery • Lead prompt engineering on the most complex and high-value AQM customer engagements, from initial scoping through production deployment. • Act as the senior escalation point for prompt performance issues, failure analysis, and remediation on live customer deployments. • Partner with customers at senior stakeholder level to translate QM strategy and compliance requirements into precise, measurable AQM evaluation criteria. • Design and execute prompt validation frameworks - including representative call sampling, precision/recall analysis, and A/B prompt testing - to ensure accuracy before production release. Key Responsibilities - Product & Pre-Sales Collaboration • Serve as the Prompt Engineering SME in pre-sales engagements, demonstrating Five9 AQM capabilities and advising prospective customers on prompt-driven evaluation design. • Provide structured product feedback to the Five9 AQM product team based on field experience, identifying gaps, limitations, and enhancement opportunities. • Develop and deliver internal training and enablement for consultants and implementation staff on AQM prompt engineering techniques. • Represent the Prompt Engineering practice in cross-functional forums and contribute to go-to-market materials, customer case studies, and thought leadership content. Key Requirements • Minimum 5 years' hands-on experience as a Speech Analytics Lead, Senior QM Analyst, or WEM Consultant with deep expertise in category/topic design, program governance, and optimization in Verint (Categories/Category Sets), NICE CXne (Category Sets), Genesys (Topics), or equivalent - at a seniority level sufficient to have owned or led an analytics program. • Formal prompt engineering qualification or a verifiable, substantive portfolio of production-grade prompt design work, including evidence of iterative refinement, performance measurement, and documentation. • Demonstrable understanding of LLM behavior - including how prompt structure, instruction framing, persona assignment, chain-of-thought, and few-shot examples affect model outputs. • Strong background in Quality Management design: experience building evaluation frameworks, scorecard design, calibration processes, and QM governance. • Experience leading or mentoring technical team members in a delivery or consulting environment. • Proven track record of translating complex business requirements into structured, testable, and scalable technical solutions. • Excellent written and verbal communication skills; comfortable presenting to senior client stakeholders and internal leadership. • BA/BS or equivalent experience; advanced degree in a relevant discipline is advantageous. Preferred Qualifications • Formal prompt engineering certification: DeepLearning.AI Prompt Engineering for Developers, Anthropic Prompt Engineering, OpenAI Prompt Engineering, DAIR.AI Prompt Engineering Guide, or equivalent industry-recognized program. • Direct experience with one or more leading LLM platforms at an advanced level (OpenAI GPT-4+, Anthropic Claude, Google Gemini, Meta Llama, or similar), including API usage, system prompt design, and evaluation harness development. • Prior hands-on experience with Five9 AQM or another AI-native QM solution (e.g., NICE Enlighten QM, Genesys Cloud AI Quality, Medallia, Qualtrics). • Experience contributing to or owning a Speech Analytics or QM center of excellence - including methodology documentation, internal training, and cross-client best practice standardization. • Familiarity with prompt evaluation frameworks (e.g., LLM-as-judge, human-in-the-loop evaluation pipelines, or equivalent). • Exposure to NLP concepts - tokenization, embeddings, semantic similarity - sufficient to reason about why a prompt succeeds or fails. • Experience with JSON, Python scripting, or no-code automation tools as applied to prompt testing and workflow automation. • Background in contact center compliance-driven QM (financial services, healthcare, utilities) where regulatory accuracy requirements add additional complexity to evaluation design. Key Competencies • Technical Authority - recognized internally and externally as the go-to expert on LLM prompt design for contact Centre quality evaluation. • Analytical Rigor - applies statistical thinking and structured measurement to validate and continuously improve prompt performance. • Linguistic Mastery - exceptional command of written instruction; understands how nuance, framing, and ambiguity in prompt language directly influence AI outputs. • Leadership & Coaching - ability to elevate the capability of others through structured mentoring, peer review, and knowledge transfer. • Strategic Customer Engagement - trusted advisor to senior client stakeholders on the use of AI in quality management. • Innovation Orientation - proactively monitors the LLM landscape and identifies opportunities to improve Five9 AQM prompt design practices. • Operational Excellence - drives the team toward repeatable, scalable processes without sacrificing quality or creativity. About Five9 WEM Specialized Services The Specialized Services team within Five9 Professional Services delivers expert-led implementation, optimization, and advisory engagements across the Five9 WEM portfolio. Our AQM Prompt Engineering practice is a newly established Centre of excellence, designed to ensure that customers realize the full potential of Five9's AI-powered quality management capabilities. As the founding senior hire into this practice, the Senior WEM AQM Prompt Engineer will have a rare opportunity to define how prompt engineering is done at Five9 - and to build something genuinely new. Work Location: This role is fully remote for candidates who reside outside the 30 mile radius of one of our offices. For candidates who reside within a 30 mile radius of one of our offices, this role is Hybrid and would require 3 days a week (T, W, TH) in office. As part of our continued commitment to diversity, equity, and inclusion, Five9 supports pay transparency during the entire recruitment process. Actual compensation packages are based on several factors that are unique to each candidate including, but not limited to: skill set, depth of experience, certifications, and specific work location. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the United States. Your recruiter can share more about the specific compensation package during your hiring process. Additionally . click apply for full job details
Job Description Job Description About Us At Agtonomy, we're not just building tech-we're transforming how vital industries get work done. Our Physical AI and fleet services turn heavy machinery into intelligent, autonomous systems that tackle the toughest challenges in agriculture, turf, and beyond. Partnering with industry-leading equipment manufacturers, we're creating a future where labor shortages, environmental strain, and inefficiencies are relics of the past. Our team is a tight-knit group of bold thinkers-engineers, innovators, and industry experts-who thrive on turning audacious ideas into reality. If you want to shape the future of industries that matter, this is your shot. About the Role We're looking for a skilled ML engineer to build the perception systems that give our autonomous machines human-like awareness in rugged, unstructured environments. You'll develop computer vision and machine learning systems that turns noisy camera and LiDAR data into robust 3D scene understanding - enabling heavy equipment to operate safely through dust, glare, occlusion, and whatever messy conditions a working site throws at it. The field is moving past bounding-box detection and hand-tuned tracking toward learned, dense scene representations, foundation-model-driven data engines, and uncertainty-aware perception. You'll be at the center of that shift. This role is hands-on: you'll write production-grade software, distill and optimize models for embedded hardware, and validate your work on real machines at operating around the world. What You'll Do Develop real-time perception models for open-world obstacle and terrain understanding. Build multi-modal fusion that combines camera and LiDAR into a unified 3D/BEV representation, robust to occlusions, sensor degradation, and GNSS outages. Optimize models for low-latency inference on resource-constrained hardware, balancing accuracy and performance. Design auto-labeling pipelines that leverage foundation models and teacher-student distillation to scale labeling and close the loop from real-world field interventions. Design data and evaluation pipelines that curate large multi-sensor datasets and surface failures fast, with strong visualization and debugging tooling. Analyze performance metrics and iterate on algorithms to improve accuracy and efficiency of various perception subsystems. What You'll Bring A MS/PhD in Computer Science, AI, or a related field, or 6+ years of industry experience building vision-based perception systems. Deep expertise developing and deploying modern perception models: detection, segmentation, mono/stereo/metric depth, BEV/occupancy, sensor fusion, and 3D scene understanding. Fluency adapting, fine-tuning, and distilling large pre-trained vision and vision-language models. Strong grounding in multi-sensor integration (camera, LiDAR, radar): calibration, spatiotemporal sync, and cross-modal fusion. Experience handling large datasets efficiently and organizing them for labeling, training and evaluation. Fluency in Python with PyTorch/TensorFlow/OpenCV and the ability to write efficient, production-ready code for real-time systems. Proven ability to design experiments, analyze metrics (mAP, IoU, latency/throughput, and calibration/ECE), and optimize to meet stringent real-world performance and safety requirements. An eagerness to get your hands dirty and agility in a fast-moving, collaborative, small team environment with lots of ownership. What Makes You a Strong Fit Experience architecting multi-sensor ML systems from scratch. Experience building auto-labeling / data-engine flywheels at scale. Experience with compute-constrained pipelines including optimizing models to balance the accuracy vs. performance tradeoff, leveraging TensorRT, model quantization, etc. Familiarity with emerging predictive world models for anticipation, anomaly detection, or closed-loop simulation, and adjacent policy paradigms such as Vision-Language-Action (VLA) and World-Action (WAM) models. Experience with compute-constrained deployment: TensorRT, model quantization, and custom CUDA operations. Publications at top-tier perception/robotics venues (CVPR, ICRA, CoRL, RSS, etc.). Passion for how we feed, build, move, and maintain the world. The US base salary range for this full-time position is $200,000 to $280,000 + equity + benefits + unlimited PTO The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, internal equity, and additional factors, including, but not limited to, job-related skills, experience, and relevant education or specialty training. Your recruiter can share more about the specific salary range during the hiring process. Benefits • 100% covered medical, dental, and vision for the employee (partner, children, or family is additional) • Commuter Benefits • Flexible Spending Account (FSA or HSA) • Life Insurance • Short- and Long-Term Disability • 401k Plan • Stock Options • Collaborative work environment working alongside passionate mission-driven team!
08/05/2026
Full time
Job Description Job Description About Us At Agtonomy, we're not just building tech-we're transforming how vital industries get work done. Our Physical AI and fleet services turn heavy machinery into intelligent, autonomous systems that tackle the toughest challenges in agriculture, turf, and beyond. Partnering with industry-leading equipment manufacturers, we're creating a future where labor shortages, environmental strain, and inefficiencies are relics of the past. Our team is a tight-knit group of bold thinkers-engineers, innovators, and industry experts-who thrive on turning audacious ideas into reality. If you want to shape the future of industries that matter, this is your shot. About the Role We're looking for a skilled ML engineer to build the perception systems that give our autonomous machines human-like awareness in rugged, unstructured environments. You'll develop computer vision and machine learning systems that turns noisy camera and LiDAR data into robust 3D scene understanding - enabling heavy equipment to operate safely through dust, glare, occlusion, and whatever messy conditions a working site throws at it. The field is moving past bounding-box detection and hand-tuned tracking toward learned, dense scene representations, foundation-model-driven data engines, and uncertainty-aware perception. You'll be at the center of that shift. This role is hands-on: you'll write production-grade software, distill and optimize models for embedded hardware, and validate your work on real machines at operating around the world. What You'll Do Develop real-time perception models for open-world obstacle and terrain understanding. Build multi-modal fusion that combines camera and LiDAR into a unified 3D/BEV representation, robust to occlusions, sensor degradation, and GNSS outages. Optimize models for low-latency inference on resource-constrained hardware, balancing accuracy and performance. Design auto-labeling pipelines that leverage foundation models and teacher-student distillation to scale labeling and close the loop from real-world field interventions. Design data and evaluation pipelines that curate large multi-sensor datasets and surface failures fast, with strong visualization and debugging tooling. Analyze performance metrics and iterate on algorithms to improve accuracy and efficiency of various perception subsystems. What You'll Bring A MS/PhD in Computer Science, AI, or a related field, or 6+ years of industry experience building vision-based perception systems. Deep expertise developing and deploying modern perception models: detection, segmentation, mono/stereo/metric depth, BEV/occupancy, sensor fusion, and 3D scene understanding. Fluency adapting, fine-tuning, and distilling large pre-trained vision and vision-language models. Strong grounding in multi-sensor integration (camera, LiDAR, radar): calibration, spatiotemporal sync, and cross-modal fusion. Experience handling large datasets efficiently and organizing them for labeling, training and evaluation. Fluency in Python with PyTorch/TensorFlow/OpenCV and the ability to write efficient, production-ready code for real-time systems. Proven ability to design experiments, analyze metrics (mAP, IoU, latency/throughput, and calibration/ECE), and optimize to meet stringent real-world performance and safety requirements. An eagerness to get your hands dirty and agility in a fast-moving, collaborative, small team environment with lots of ownership. What Makes You a Strong Fit Experience architecting multi-sensor ML systems from scratch. Experience building auto-labeling / data-engine flywheels at scale. Experience with compute-constrained pipelines including optimizing models to balance the accuracy vs. performance tradeoff, leveraging TensorRT, model quantization, etc. Familiarity with emerging predictive world models for anticipation, anomaly detection, or closed-loop simulation, and adjacent policy paradigms such as Vision-Language-Action (VLA) and World-Action (WAM) models. Experience with compute-constrained deployment: TensorRT, model quantization, and custom CUDA operations. Publications at top-tier perception/robotics venues (CVPR, ICRA, CoRL, RSS, etc.). Passion for how we feed, build, move, and maintain the world. The US base salary range for this full-time position is $200,000 to $280,000 + equity + benefits + unlimited PTO The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, internal equity, and additional factors, including, but not limited to, job-related skills, experience, and relevant education or specialty training. Your recruiter can share more about the specific salary range during the hiring process. Benefits • 100% covered medical, dental, and vision for the employee (partner, children, or family is additional) • Commuter Benefits • Flexible Spending Account (FSA or HSA) • Life Insurance • Short- and Long-Term Disability • 401k Plan • Stock Options • Collaborative work environment working alongside passionate mission-driven team!
Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation . click apply for full job details
08/05/2026
Full time
Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation . click apply for full job details
Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation . click apply for full job details
08/05/2026
Full time
Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation . click apply for full job details