RELOCATION ASSISTANCE: Relocation assistance may be availableCLEARANCE TYPE: SecretTRAVEL: Yes, 10% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and software-secure technology to enable strategic planning. We're looking for innovators who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we'll support yours of expanding your personal network and developing skills, whether you are new to the field, or an industry thought leader. At Northrop Grumman, you'll have the resources, support, and team to do some of the best work of your career. Northrop Grumman Mission Systems is seeking aPrincipal/Senior Principal Electromechanical Design Engineer to join our team of qualified, diverse individuals. This position will be located in Linthicum, Maryland and will require 100% on-site work. What You'll Get to Do: Design, prototyping and production support of state-of-the-art RF, digital, and mixed signal multi-chip modules (MCMs), Printed Wiring Boards (PWBs), and Circuit Card Assemblies (CCAs) using various substrate materials and chip-scale packaging technologies Collaboration within a cross-functional Integrated Product Team (IPT); effective and timely communication with peers in adjacent functions, including electrical design, systems engineering, thermal analysis, structural analysis, drafting, supply chain management and manufacturing. Organizing and prioritizing tasks to accomplish project milestones within schedule and budgetary constraints. Providing technical leadership and mentoring to less experienced personnel. This position may be filled as a Principal Electromechanical Design Engineer or a Senior Principal Electromechanical Design Engineer. This position is contingent upon contract award and the ability to obtain an active DoD Secret Clearance or the successful transfer of an active DoD Secret Clearance prior to start. Basic Qualifications for Principal Electromechanical Design Engineer: Bachelor's degree with 5 years of experience, a master's degree with 3 years of experience or a PhD with 1 year of experience in Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, or related technical fields. Will consider 4 years of applied experience in lieu of degree requirement U.S Citizenship is required. The ability to obtain/maintain a DoD Active Secret clearance. A current/active clearance is not required to be considered for the position, but a final clearance is required to start Experience with PWB/CCA design and signal routing, including chip-scale packaging technologies and substratePWB layout Working knowledge of materials, specifications, manufacturing processes and design tools utilized for multi-chip modules, PWBs and CCAs Proficient with AutoCAD and/or Xpedition software Familiarity with NX or other 3D modeling software Basic Qualifications Senior Principal Electromechanical Design Engineer: Bachelor's degree with 8 years of experience, a master's degree with 6 years of experience or a PhD with 4 years of experience in Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, or related technical fields. Will consider 4 years of applied experience in lieu of degree requirement. U.S Citizenship is required. The ability to obtain/maintain a DoD Active Secret clearance. A current/active clearance is not required to be considered for the position, but a final clearance is required to start Experience with PWB/CCA design and signal routing, including chip-scale packaging technologies and substratePWB layout Working knowledge of materials, specifications, manufacturing processes and design tools utilized for multi-chip modules, PWBs and CCAs Proficient with AutoCAD and/or Xpedition software Familiarity with NX or other 3D modeling software Preferred Qualifications: Advanced degrees in Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, or related technical fields. A current/active DoD Secret Clearance or higher Proficiency with ASME Y14.5 geometric dimensioning and tolerancing (GD&T) and ASME Y14.100 engineering drawing practices Familiarity with thermal and structural analysis considerations, methodologies, and software tools Experience with hands-on assembly and testing of prototype electronic hardware Experience in a technical leadership role on a cross-functional product development team Experience routing RF signals Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Northrop Grumman has approximately 90,000 employees in all 50 states and in more than 27 countries. We strive to attract and retain the best employees by providing an inclusive work environment wherein employees are receptive to diverse ideas, perspectives, and talents to help solve our toughest customer challenges: to develop and maintain some of the most technically sophisticated products, programs, and services in the world. Our Values. The women and men of Northrop Grumman Corporation are guided by Our Values. They describe our company as we want it to be. We want our decisions and actions to demonstrate these Values. We believe that putting Our Values into practice creates long-term benefits for shareholders, customers, employees, suppliers, and the communities we serve. Our Responsibility. At Northrop Grumman, we are committed to maintaining the highest of ethical standards, embracing diversity and inclusion, protecting the environment, and striving to be an ideal corporate citizen in the community and in the world. Primary Level Salary Range: $105,400.00 - $158,000.00Secondary Level Salary Range: $131,100.00 - $196,700.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
04/05/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be availableCLEARANCE TYPE: SecretTRAVEL: Yes, 10% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and software-secure technology to enable strategic planning. We're looking for innovators who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we'll support yours of expanding your personal network and developing skills, whether you are new to the field, or an industry thought leader. At Northrop Grumman, you'll have the resources, support, and team to do some of the best work of your career. Northrop Grumman Mission Systems is seeking aPrincipal/Senior Principal Electromechanical Design Engineer to join our team of qualified, diverse individuals. This position will be located in Linthicum, Maryland and will require 100% on-site work. What You'll Get to Do: Design, prototyping and production support of state-of-the-art RF, digital, and mixed signal multi-chip modules (MCMs), Printed Wiring Boards (PWBs), and Circuit Card Assemblies (CCAs) using various substrate materials and chip-scale packaging technologies Collaboration within a cross-functional Integrated Product Team (IPT); effective and timely communication with peers in adjacent functions, including electrical design, systems engineering, thermal analysis, structural analysis, drafting, supply chain management and manufacturing. Organizing and prioritizing tasks to accomplish project milestones within schedule and budgetary constraints. Providing technical leadership and mentoring to less experienced personnel. This position may be filled as a Principal Electromechanical Design Engineer or a Senior Principal Electromechanical Design Engineer. This position is contingent upon contract award and the ability to obtain an active DoD Secret Clearance or the successful transfer of an active DoD Secret Clearance prior to start. Basic Qualifications for Principal Electromechanical Design Engineer: Bachelor's degree with 5 years of experience, a master's degree with 3 years of experience or a PhD with 1 year of experience in Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, or related technical fields. Will consider 4 years of applied experience in lieu of degree requirement U.S Citizenship is required. The ability to obtain/maintain a DoD Active Secret clearance. A current/active clearance is not required to be considered for the position, but a final clearance is required to start Experience with PWB/CCA design and signal routing, including chip-scale packaging technologies and substratePWB layout Working knowledge of materials, specifications, manufacturing processes and design tools utilized for multi-chip modules, PWBs and CCAs Proficient with AutoCAD and/or Xpedition software Familiarity with NX or other 3D modeling software Basic Qualifications Senior Principal Electromechanical Design Engineer: Bachelor's degree with 8 years of experience, a master's degree with 6 years of experience or a PhD with 4 years of experience in Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, or related technical fields. Will consider 4 years of applied experience in lieu of degree requirement. U.S Citizenship is required. The ability to obtain/maintain a DoD Active Secret clearance. A current/active clearance is not required to be considered for the position, but a final clearance is required to start Experience with PWB/CCA design and signal routing, including chip-scale packaging technologies and substratePWB layout Working knowledge of materials, specifications, manufacturing processes and design tools utilized for multi-chip modules, PWBs and CCAs Proficient with AutoCAD and/or Xpedition software Familiarity with NX or other 3D modeling software Preferred Qualifications: Advanced degrees in Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, or related technical fields. A current/active DoD Secret Clearance or higher Proficiency with ASME Y14.5 geometric dimensioning and tolerancing (GD&T) and ASME Y14.100 engineering drawing practices Familiarity with thermal and structural analysis considerations, methodologies, and software tools Experience with hands-on assembly and testing of prototype electronic hardware Experience in a technical leadership role on a cross-functional product development team Experience routing RF signals Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Northrop Grumman has approximately 90,000 employees in all 50 states and in more than 27 countries. We strive to attract and retain the best employees by providing an inclusive work environment wherein employees are receptive to diverse ideas, perspectives, and talents to help solve our toughest customer challenges: to develop and maintain some of the most technically sophisticated products, programs, and services in the world. Our Values. The women and men of Northrop Grumman Corporation are guided by Our Values. They describe our company as we want it to be. We want our decisions and actions to demonstrate these Values. We believe that putting Our Values into practice creates long-term benefits for shareholders, customers, employees, suppliers, and the communities we serve. Our Responsibility. At Northrop Grumman, we are committed to maintaining the highest of ethical standards, embracing diversity and inclusion, protecting the environment, and striving to be an ideal corporate citizen in the community and in the world. Primary Level Salary Range: $105,400.00 - $158,000.00Secondary Level Salary Range: $131,100.00 - $196,700.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/05/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
Description: Base Salary Range: $70-135K Reports to - Director of Applications Engineering Annual Bonus: Direct Reports - N/A Remote: N/A Status - Exempt Company Website: ABOUT SCHNEIDER At Schneider Packaging Equipment Company, Inc. ("Schneider"), we believe innovation starts with the consumer. This approach has propelled our success in developing real-world solutions that allow us to automate the supply of life's products. With over 50 years of industry problem-solving in end-of-line automation, Schneider is a leading manufacturer of case packing and robotic palletizing solutions. Headquartered in Upstate New York, we design state-of-the-art machinery for customers in industries such as: food and beverage, dairy, pharmaceutical, personal care, plastics, and paper. Schneider is now a part of the Pacteon family of companies. Our continued growth has allowed us to really be our Customer's one source for end of line packaging solutions. ABOUT PACTEON Pacteon Group provides one source for best-in-class automation focused on end of line packaging solutions, providing the highest-level customer experience. Through a broad range of robotic and non-robotic equipment, ability to integrate solutions seamlessly across portfolio companies, and full sales and service coverage, Pacteon is uniquely positioned to design flexible and custom solutions for your automation needs. For more information on Pacteon, please visit . OUR CORE VALUES We believe and live our Core Values, our IPACT: Integrity Pride Accountability Customer Service Teamwork Our Pacteon Promise is "We make it right". As our customer's one source for end-of-line packaging solutions, everyone plays an important role to make that happen. We provide internal growth paths for our employees and support them in their professional development goals. Diversity is important to us; we are proudly an Equal Opportunity Employer striving for innovation and growth both for our employees and our Company. SUMMARY AND PURPOSE Develop application solutions for customers that meet stated scope requirements based on RFQs and customer requests, within the timeframe allotment, quality standards and cost objectives. KEY RESPONSIBILITIES Maximize sales by assisting and supporting Schneider Regional Sales Managers, and potential and existing customers. Communicate, understand, compare, and contrast the solutions that are available for buying new equipment, modifications to existing equipment and troubleshooting problems with their implementations. Conceptualize solutions to applications and key customer issues and create proposals in compliance with Schneider sales procedures. Collaborate with engineering, production, and R&D when appropriate. Create quotes and layouts to support proposals. Develop pricing, descriptive proposal, and Robotic simulations (when needed). Effectively present Schneider product and system solutions to Schneider Regional Managers and Customers. Keep detailed records of activities including communications and documents in Schneider's CRM system. Occasionally travel to customer locations in support of Schneider Regional Managers. Perform other duties as assigned by management. Requirements: PROFESSIONAL QUALIFICATIONS Education: BS in mechanical/electrical engineering OR equivalent experience with additional training in computer applications especially MSOffice and AutoCAD, ver. X Experience: At least 5 years of internal sales experience required. Minimum 5 years in a high technology engineering applications role desired. Demonstrated success in managing customer relationships. Sales proposals and communication required. Understanding of robotic systems and packaging equipment is favored. Skills: BENEFITS Medical/HSA/FSA Dental Vision 401k Company paid Life and AD&D Optional Life Insurance Flexible Work Schedule PHYSICAL REQUIREMENTS & WORK REQUIREMENTS Physical Requirement Never Sometimes Frequently Sitting X Standing/Walking X Lifting/Carrying Upto 10 lbs X Lifting/Carrying Upto 30 lbs X Pushing/Pulling X Keyboarding X Gross Manipulation X Fine Manipulation X Driving X Stooping X Speaking X Hearing X Near Visual Acuity X Ability to Travel X Compensation details: 00 Yearly Salary PIa1d271423c72-5350
04/05/2026
Full time
Description: Base Salary Range: $70-135K Reports to - Director of Applications Engineering Annual Bonus: Direct Reports - N/A Remote: N/A Status - Exempt Company Website: ABOUT SCHNEIDER At Schneider Packaging Equipment Company, Inc. ("Schneider"), we believe innovation starts with the consumer. This approach has propelled our success in developing real-world solutions that allow us to automate the supply of life's products. With over 50 years of industry problem-solving in end-of-line automation, Schneider is a leading manufacturer of case packing and robotic palletizing solutions. Headquartered in Upstate New York, we design state-of-the-art machinery for customers in industries such as: food and beverage, dairy, pharmaceutical, personal care, plastics, and paper. Schneider is now a part of the Pacteon family of companies. Our continued growth has allowed us to really be our Customer's one source for end of line packaging solutions. ABOUT PACTEON Pacteon Group provides one source for best-in-class automation focused on end of line packaging solutions, providing the highest-level customer experience. Through a broad range of robotic and non-robotic equipment, ability to integrate solutions seamlessly across portfolio companies, and full sales and service coverage, Pacteon is uniquely positioned to design flexible and custom solutions for your automation needs. For more information on Pacteon, please visit . OUR CORE VALUES We believe and live our Core Values, our IPACT: Integrity Pride Accountability Customer Service Teamwork Our Pacteon Promise is "We make it right". As our customer's one source for end-of-line packaging solutions, everyone plays an important role to make that happen. We provide internal growth paths for our employees and support them in their professional development goals. Diversity is important to us; we are proudly an Equal Opportunity Employer striving for innovation and growth both for our employees and our Company. SUMMARY AND PURPOSE Develop application solutions for customers that meet stated scope requirements based on RFQs and customer requests, within the timeframe allotment, quality standards and cost objectives. KEY RESPONSIBILITIES Maximize sales by assisting and supporting Schneider Regional Sales Managers, and potential and existing customers. Communicate, understand, compare, and contrast the solutions that are available for buying new equipment, modifications to existing equipment and troubleshooting problems with their implementations. Conceptualize solutions to applications and key customer issues and create proposals in compliance with Schneider sales procedures. Collaborate with engineering, production, and R&D when appropriate. Create quotes and layouts to support proposals. Develop pricing, descriptive proposal, and Robotic simulations (when needed). Effectively present Schneider product and system solutions to Schneider Regional Managers and Customers. Keep detailed records of activities including communications and documents in Schneider's CRM system. Occasionally travel to customer locations in support of Schneider Regional Managers. Perform other duties as assigned by management. Requirements: PROFESSIONAL QUALIFICATIONS Education: BS in mechanical/electrical engineering OR equivalent experience with additional training in computer applications especially MSOffice and AutoCAD, ver. X Experience: At least 5 years of internal sales experience required. Minimum 5 years in a high technology engineering applications role desired. Demonstrated success in managing customer relationships. Sales proposals and communication required. Understanding of robotic systems and packaging equipment is favored. Skills: BENEFITS Medical/HSA/FSA Dental Vision 401k Company paid Life and AD&D Optional Life Insurance Flexible Work Schedule PHYSICAL REQUIREMENTS & WORK REQUIREMENTS Physical Requirement Never Sometimes Frequently Sitting X Standing/Walking X Lifting/Carrying Upto 10 lbs X Lifting/Carrying Upto 30 lbs X Pushing/Pulling X Keyboarding X Gross Manipulation X Fine Manipulation X Driving X Stooping X Speaking X Hearing X Near Visual Acuity X Ability to Travel X Compensation details: 00 Yearly Salary PIa1d271423c72-5350
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/05/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
Auria is a provider of solutions and software in support of complex Space, National Security, and Cyber missions of federal, international, and commercial customers. Headquartered in Colorado Springs, CO our success is built on the excellence of diverse teams advancing innovative systems and operational software to strengthen our customers' missions. With a distinguished track record and a spirit of relentless pursuit, and R&D, we set the pace for progress and execute every mission with the utmost precision. Auria is seeking a Chief Engineer to join our outstanding team in a hybrid position based in Colorado. The Chief Engineer will lead the development and maturation of advanced software solutions You will be the chief technical authority that works closely with Program Management and technical SMEs to develop software solutions for critical space assets. WHAT YOU CAN EXPECT TO DO: Software Development - Engage in the entire development lifecycle, from requirement analysis to post-production support, ensuring quality and consistency. Prototype Development - Develop prototypes and proofs-of-concept as assigned by program management and participate in Agile ceremonies, code reviews, testing, and debugging to maintain high software standards. Participate in system design and delivery decisions with understanding of space domain operations, ground enterprise architecture, and MWT mission needs. Documentation and Communication - Produce essential system documentation and effectively communicate complex technical details to various stakeholders, ensuring clarity and understanding. Recommend Future Improvements - Communicate with system engineers and the software architect to proactively identify areas of improvement within software applications and recommend solutions to enhance functionality and the user experience. Collaboration and Continuous Improvement - Collaborate closely with interdisciplinary teams to define and implement innovative software solutions for space and communications projects. WHAT THE TEAM REQUIRES: Active U.S. Government SECRET security clearance (requires U.S. Citizenship) Experience in software development, with demonstrated proficiency in C++, Java / Groovy, or Python coding languages and experience with common development environments and tools such as Visual Studio, Eclipse, or IntelliJ. Experience implementing security concepts into code to create and deploy security-oriented services and products. Extensive experience with Model-Based Systems Engineering (MBSE), including using Cameo, SysML, other and industry-standard MBSE methodologies to develop and document complex system architectures and requirements. At least 3+ years experience designing and implementing DOD space systems and subsystems, including systems, products, and interfaces across ground and space components. Fundamental knowledge of software development best practices, methodologies, and frameworks. Familiarity with source control systems (e.g., GitLab) and an understanding of branching strategies, commit conventions, and collaborative development best practices. Ability to create clear and comprehensive system documentation, including design descriptions, requirements specifications, test plans, user guides, and other engineering documents. Experience working in an Agile/Scrum team using tools to assist system development, such as Jira and Confluence. Familiarity with the Overhead Persistent Infrared (OPIR) mission and/or satellite ground systems. WHAT THE TEAM PREFERS: Experience with real-time systems or embedded software development, which includes an understanding of constraints with hardware, optimization for computational efficiency, and familiarity with common platforms and tools used in aerospace software development. Familiarity with communication protocols and standards specific to space and communication systems, such as telemetry and command interfaces and satellite link protocols. Understanding of the challenges associated with space communications, such as latency, error corrections, and adverse effects on transmissions. PAY TRANSPARENCY: The salary offered will be based on the selected candidate's qualifications - skills, education & experience - and the position level. $190,000 - $215,000 APPLICATION DEADLINE: April 15, 2026 Why You'll Love Working at Auria We believe our team does their best work when they are well-supported, financially secure, and have the freedom to balance life outside of the office. Time for What Matters Generous & Growing PTO: Start with a substantial paid time off package that increases every year you're with us. True Flexibility: Contract permitting, use Flex Time to work in a way that fits your life, not just your 8-to-5. 11 Paid Days Off: Enjoy 6 fixed company holidays plus 5 Floating Holidays to use whenever you choose. Invested in Your Future 401(k) Match -Yours to Keep Instantly: We match up to 4% of your contributions . B oth your contributions and the company match are yours from day one with no vesting wait-period. Industry-Leading Education Support: Level up with up to $12,000 annually for tuition and certifications. We don't just hire talent; we grow it. Health & Peace of Mind Premium Healthcare, Lower Costs: High-quality medical plans paired with a Company-Sponsored HSA to help you save for the future. Fully Covered Life Insurance: Breathe easy with life insurance up to $50K provided at zero cost to you. Holistic Support: Access our Employee Assistance Program (EAP) for mental health, financial coaching, and more. and that's just the beginning! Auria is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, marital status, national origin, age, veteran status, disability, or any other protected class. Compensation details: 00 Yearly Salary PIbcbe61533f77-2930
04/05/2026
Full time
Auria is a provider of solutions and software in support of complex Space, National Security, and Cyber missions of federal, international, and commercial customers. Headquartered in Colorado Springs, CO our success is built on the excellence of diverse teams advancing innovative systems and operational software to strengthen our customers' missions. With a distinguished track record and a spirit of relentless pursuit, and R&D, we set the pace for progress and execute every mission with the utmost precision. Auria is seeking a Chief Engineer to join our outstanding team in a hybrid position based in Colorado. The Chief Engineer will lead the development and maturation of advanced software solutions You will be the chief technical authority that works closely with Program Management and technical SMEs to develop software solutions for critical space assets. WHAT YOU CAN EXPECT TO DO: Software Development - Engage in the entire development lifecycle, from requirement analysis to post-production support, ensuring quality and consistency. Prototype Development - Develop prototypes and proofs-of-concept as assigned by program management and participate in Agile ceremonies, code reviews, testing, and debugging to maintain high software standards. Participate in system design and delivery decisions with understanding of space domain operations, ground enterprise architecture, and MWT mission needs. Documentation and Communication - Produce essential system documentation and effectively communicate complex technical details to various stakeholders, ensuring clarity and understanding. Recommend Future Improvements - Communicate with system engineers and the software architect to proactively identify areas of improvement within software applications and recommend solutions to enhance functionality and the user experience. Collaboration and Continuous Improvement - Collaborate closely with interdisciplinary teams to define and implement innovative software solutions for space and communications projects. WHAT THE TEAM REQUIRES: Active U.S. Government SECRET security clearance (requires U.S. Citizenship) Experience in software development, with demonstrated proficiency in C++, Java / Groovy, or Python coding languages and experience with common development environments and tools such as Visual Studio, Eclipse, or IntelliJ. Experience implementing security concepts into code to create and deploy security-oriented services and products. Extensive experience with Model-Based Systems Engineering (MBSE), including using Cameo, SysML, other and industry-standard MBSE methodologies to develop and document complex system architectures and requirements. At least 3+ years experience designing and implementing DOD space systems and subsystems, including systems, products, and interfaces across ground and space components. Fundamental knowledge of software development best practices, methodologies, and frameworks. Familiarity with source control systems (e.g., GitLab) and an understanding of branching strategies, commit conventions, and collaborative development best practices. Ability to create clear and comprehensive system documentation, including design descriptions, requirements specifications, test plans, user guides, and other engineering documents. Experience working in an Agile/Scrum team using tools to assist system development, such as Jira and Confluence. Familiarity with the Overhead Persistent Infrared (OPIR) mission and/or satellite ground systems. WHAT THE TEAM PREFERS: Experience with real-time systems or embedded software development, which includes an understanding of constraints with hardware, optimization for computational efficiency, and familiarity with common platforms and tools used in aerospace software development. Familiarity with communication protocols and standards specific to space and communication systems, such as telemetry and command interfaces and satellite link protocols. Understanding of the challenges associated with space communications, such as latency, error corrections, and adverse effects on transmissions. PAY TRANSPARENCY: The salary offered will be based on the selected candidate's qualifications - skills, education & experience - and the position level. $190,000 - $215,000 APPLICATION DEADLINE: April 15, 2026 Why You'll Love Working at Auria We believe our team does their best work when they are well-supported, financially secure, and have the freedom to balance life outside of the office. Time for What Matters Generous & Growing PTO: Start with a substantial paid time off package that increases every year you're with us. True Flexibility: Contract permitting, use Flex Time to work in a way that fits your life, not just your 8-to-5. 11 Paid Days Off: Enjoy 6 fixed company holidays plus 5 Floating Holidays to use whenever you choose. Invested in Your Future 401(k) Match -Yours to Keep Instantly: We match up to 4% of your contributions . B oth your contributions and the company match are yours from day one with no vesting wait-period. Industry-Leading Education Support: Level up with up to $12,000 annually for tuition and certifications. We don't just hire talent; we grow it. Health & Peace of Mind Premium Healthcare, Lower Costs: High-quality medical plans paired with a Company-Sponsored HSA to help you save for the future. Fully Covered Life Insurance: Breathe easy with life insurance up to $50K provided at zero cost to you. Holistic Support: Access our Employee Assistance Program (EAP) for mental health, financial coaching, and more. and that's just the beginning! Auria is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, marital status, national origin, age, veteran status, disability, or any other protected class. Compensation details: 00 Yearly Salary PIbcbe61533f77-2930
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/05/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
Company Overview Allbridge is the leading supplier of world class connected technology solutions, services, and support for high-density properties. With more than 35 years of continuous growth and industry experience, Allbridge supports technology in over one million rooms, in 8,000 properties, across North America and the Caribbean, including hotels, resorts, senior-living communities, condominiums, multifamily developments, and mixed-use properties. We are seeking an experienced Technology Design Consulting Lead to drive high-impact client engagements at the intersection of emerging technologies, user-centered design, and strategic business outcomes. This senior leadership role combines deep technical expertise, design thinking leadership, and consulting acumen to guide cross-functional teams in delivering innovative, scalable technology-enabled solutions for our Hospitality and Multi-family clients The ideal candidate is a strategic thinker who excels at translating complex business challenges into elegant, feasible technology + design strategies, while leading talented consultants, designers, and technologists to exceptional delivery. Key Responsibilities Lead end-to-end consulting engagements focused on technology design, Plan Reviews, product/service innovation, and experience strategy Define and oversee technology architecture, interaction design frameworks, and design systems that align with client business goals and technical constraints Guide clients through discovery, ideation, prototyping, and implementation phases, blending human-centered design methods with modern technology evaluation and road mapping Work with high-performing consulting teams (designers, technologists, strategists, PMs), fostering a culture of collaboration, innovation, and excellence Conduct technical and design reviews, risk assessments, and quality assurance across multiple concurrent projects Develop compelling proposals, statements of work, and executive-level presentations to win new business and expand existing accounts Stay ahead of industry trends in emerging technologies (Wifi/Networks, Access Control, CCTV, Audio Visual, Smart IoT) and their application to design-led outcomes Partner closely with client C-suite and senior stakeholders to shape vision, secure buy-in, and measure impact through clear success metrics Contribute to internal practice development: thought leadership, methodology refinement, IP creation, and sales enablement materials Ensure projects are delivered on time, within budget, and to the highest standards of quality and client satisfaction Review design drawing change logs to verify changes have been documented. Qualifications & Experience 5+ years of progressive experience in technology consulting and/or sales engineering with Hospitality and Multi-family technologies Proven track record leading complex technology + design initiatives that delivered measurable business value (e.g., improved user adoption, revenue growth, operational efficiency) Extensive project management skills, ensuring client deliverables are provided on-time as the projects progress. Strong portfolio showcasing work across digital products, services, platforms, or experience ecosystems Technical & Design Expertise Deep understanding of modern technology stacks in Hospitality and MDU Fluency in Bluebeam, Smartsheets, notetaking, Excel Experience bridging design and engineering - ability to translate between creative vision and technical feasibility Soft Skills & Attributes Exceptional client-facing communication and storytelling skills - able to influence executives and inspire teams Strategic mindset with strong business acumen and commercial awareness Comfortable with ambiguity; thrives in fast-paced, high-stakes consulting environments Natural leader who builds trust, motivates others, and drives accountability Intellectual curiosity and commitment to continuous learning Workplace Benefits We Offer In addition to earnings and other incentives, Allbridge offers a comprehensive package of benefits, based on eligibility, typically for regular, full-time positions, some of which includes: Medical and Prescription options, Dental, Orthodontics and Vision Plans Rich HSA company-funded options and Flexible Spending accounts 100% Company paid premiums for Short Term Disability Life and Accidental Death and Dismemberment insurance Plan options Supplemental Insurance Plan options 401(k) Profit-Sharing Retirement plan Flexible Paid Time Off after 60 days of employment Paid Holidays, per Employee Handbook Work culture supportive of diversity and inclusion Equal Opportunity Employer Statement: Allbridge is an Equal Opportunity Employer. Allbridge does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. PI44365fd6-
04/05/2026
Full time
Company Overview Allbridge is the leading supplier of world class connected technology solutions, services, and support for high-density properties. With more than 35 years of continuous growth and industry experience, Allbridge supports technology in over one million rooms, in 8,000 properties, across North America and the Caribbean, including hotels, resorts, senior-living communities, condominiums, multifamily developments, and mixed-use properties. We are seeking an experienced Technology Design Consulting Lead to drive high-impact client engagements at the intersection of emerging technologies, user-centered design, and strategic business outcomes. This senior leadership role combines deep technical expertise, design thinking leadership, and consulting acumen to guide cross-functional teams in delivering innovative, scalable technology-enabled solutions for our Hospitality and Multi-family clients The ideal candidate is a strategic thinker who excels at translating complex business challenges into elegant, feasible technology + design strategies, while leading talented consultants, designers, and technologists to exceptional delivery. Key Responsibilities Lead end-to-end consulting engagements focused on technology design, Plan Reviews, product/service innovation, and experience strategy Define and oversee technology architecture, interaction design frameworks, and design systems that align with client business goals and technical constraints Guide clients through discovery, ideation, prototyping, and implementation phases, blending human-centered design methods with modern technology evaluation and road mapping Work with high-performing consulting teams (designers, technologists, strategists, PMs), fostering a culture of collaboration, innovation, and excellence Conduct technical and design reviews, risk assessments, and quality assurance across multiple concurrent projects Develop compelling proposals, statements of work, and executive-level presentations to win new business and expand existing accounts Stay ahead of industry trends in emerging technologies (Wifi/Networks, Access Control, CCTV, Audio Visual, Smart IoT) and their application to design-led outcomes Partner closely with client C-suite and senior stakeholders to shape vision, secure buy-in, and measure impact through clear success metrics Contribute to internal practice development: thought leadership, methodology refinement, IP creation, and sales enablement materials Ensure projects are delivered on time, within budget, and to the highest standards of quality and client satisfaction Review design drawing change logs to verify changes have been documented. Qualifications & Experience 5+ years of progressive experience in technology consulting and/or sales engineering with Hospitality and Multi-family technologies Proven track record leading complex technology + design initiatives that delivered measurable business value (e.g., improved user adoption, revenue growth, operational efficiency) Extensive project management skills, ensuring client deliverables are provided on-time as the projects progress. Strong portfolio showcasing work across digital products, services, platforms, or experience ecosystems Technical & Design Expertise Deep understanding of modern technology stacks in Hospitality and MDU Fluency in Bluebeam, Smartsheets, notetaking, Excel Experience bridging design and engineering - ability to translate between creative vision and technical feasibility Soft Skills & Attributes Exceptional client-facing communication and storytelling skills - able to influence executives and inspire teams Strategic mindset with strong business acumen and commercial awareness Comfortable with ambiguity; thrives in fast-paced, high-stakes consulting environments Natural leader who builds trust, motivates others, and drives accountability Intellectual curiosity and commitment to continuous learning Workplace Benefits We Offer In addition to earnings and other incentives, Allbridge offers a comprehensive package of benefits, based on eligibility, typically for regular, full-time positions, some of which includes: Medical and Prescription options, Dental, Orthodontics and Vision Plans Rich HSA company-funded options and Flexible Spending accounts 100% Company paid premiums for Short Term Disability Life and Accidental Death and Dismemberment insurance Plan options Supplemental Insurance Plan options 401(k) Profit-Sharing Retirement plan Flexible Paid Time Off after 60 days of employment Paid Holidays, per Employee Handbook Work culture supportive of diversity and inclusion Equal Opportunity Employer Statement: Allbridge is an Equal Opportunity Employer. Allbridge does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. PI44365fd6-
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/05/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/05/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
Overview Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you. Every mile driven by a Waymo car is a unique and valuable piece of data that can be leveraged into improving our machine learning models, and ultimately the safety and capabilities of the Waymo Driver. Charting the path from collection of a piece of data, to curation, (auto-)labeling, model training and evaluation, all the way to model deployment and monitoring is a process of continuous scaling and quality improvement of the entire ML lifecycle. The Area Technical Lead for the Waymo machine learning flywheel is responsible for architecting, connecting, automating and improving the entire span of this self-improvement process in close collaboration with Waymo's infrastructure, modeling and evaluation teams. They are directly accountable to Waymo's leadership for the organization's ML data strategy and its impact on Driver quality. You will report directly to our Distinguished Engineer, Foundation Models. Responsibilities Architect a path towards every autonomous mile driven by a Waymo car to be automatically incorporated into an automated data-driven self-improvement loop for the Waymo Driver. Enable a data flywheel to serve the demands of scalable pre-training, post-training targeted to relevant critical behaviors, as well as Driver simulation and validation. Enable a modeling flywheel to efficiently consume that data to reliably generate updated models that are validated and deployable with minimal human toil. Coordinate cross-functional efforts in partnership with data and ML infrastructure teams, resource planning, logging infrastructure, modeling and validation teams to accelerate the velocity, impact and leverage of driving data on the Waymo Driver. Act as the steward of data quality, by providing tooling and metrics to evaluate the impact of mining, selection and curation on the modeling pipeline performance. Articulate the strategy for incorporating diverse data sources, including third-party and synthetic data into that improvement flywheel. Drive innovation across all axes of performance and efficiency, from Driver quality, to scalability, cost, engineering velocity, model architecture and performance. Qualifications Master's degree or PhD in Computer Science, Engineering, or a related technical field 10+ years of experience in ML model development, and you have 2+ years experience with large-scale vision, video, or multi-modal foundation model development and their integration in end-to-end models 6+ years of experience in ML-driven production systems that develops models with large-scale data, training, evaluation, and deployment 6+ years of experience in a technical leadership role leading technical teams and setting technical directions in large ML Engineering organizations Demonstrated expertise in large-scale machine learning and its key components: pre-training, post-training, and validation. Deep understanding of both infrastructure and quality aspects. Track record of architecting and standing up a machine learning flywheel at scale for mission critical applications. Experience with driving model quality improvements through systematic data scaling and curation. Communication and interpersonal skills. Ability to inspire, influence and coordinate across functions and disciplines. We Prefer PhD in computer science. Experience in multi-modal LLM model development, and their infrastructure. Familiarity with multi-task, end-to-end models and their development challenges. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $332,000-$421,000 USD
04/05/2026
Full time
Overview Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you. Every mile driven by a Waymo car is a unique and valuable piece of data that can be leveraged into improving our machine learning models, and ultimately the safety and capabilities of the Waymo Driver. Charting the path from collection of a piece of data, to curation, (auto-)labeling, model training and evaluation, all the way to model deployment and monitoring is a process of continuous scaling and quality improvement of the entire ML lifecycle. The Area Technical Lead for the Waymo machine learning flywheel is responsible for architecting, connecting, automating and improving the entire span of this self-improvement process in close collaboration with Waymo's infrastructure, modeling and evaluation teams. They are directly accountable to Waymo's leadership for the organization's ML data strategy and its impact on Driver quality. You will report directly to our Distinguished Engineer, Foundation Models. Responsibilities Architect a path towards every autonomous mile driven by a Waymo car to be automatically incorporated into an automated data-driven self-improvement loop for the Waymo Driver. Enable a data flywheel to serve the demands of scalable pre-training, post-training targeted to relevant critical behaviors, as well as Driver simulation and validation. Enable a modeling flywheel to efficiently consume that data to reliably generate updated models that are validated and deployable with minimal human toil. Coordinate cross-functional efforts in partnership with data and ML infrastructure teams, resource planning, logging infrastructure, modeling and validation teams to accelerate the velocity, impact and leverage of driving data on the Waymo Driver. Act as the steward of data quality, by providing tooling and metrics to evaluate the impact of mining, selection and curation on the modeling pipeline performance. Articulate the strategy for incorporating diverse data sources, including third-party and synthetic data into that improvement flywheel. Drive innovation across all axes of performance and efficiency, from Driver quality, to scalability, cost, engineering velocity, model architecture and performance. Qualifications Master's degree or PhD in Computer Science, Engineering, or a related technical field 10+ years of experience in ML model development, and you have 2+ years experience with large-scale vision, video, or multi-modal foundation model development and their integration in end-to-end models 6+ years of experience in ML-driven production systems that develops models with large-scale data, training, evaluation, and deployment 6+ years of experience in a technical leadership role leading technical teams and setting technical directions in large ML Engineering organizations Demonstrated expertise in large-scale machine learning and its key components: pre-training, post-training, and validation. Deep understanding of both infrastructure and quality aspects. Track record of architecting and standing up a machine learning flywheel at scale for mission critical applications. Experience with driving model quality improvements through systematic data scaling and curation. Communication and interpersonal skills. Ability to inspire, influence and coordinate across functions and disciplines. We Prefer PhD in computer science. Experience in multi-modal LLM model development, and their infrastructure. Familiarity with multi-task, end-to-end models and their development challenges. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $332,000-$421,000 USD
About Glean Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry's most advanced enterprise search has evolved into a full scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business-without vendor lock in or costly implementation cycles. About the Role Glean is seeking an Infrastructure Engineer to build and evolve the platform that powers a highly available, performant, secure and cost effective infrastructure across all clouds. You'll deliver complex components with elegant automation, robust uptime guarantees, autoscaling, and reliable alerting/monitoring for infrastructure that runs across multiple cloud providers. As part of the Platform team, you'll be responsible for critical pieces of Glean's infrastructure, working closely with several other teams to support their workloads. You Will Oversee the entirety of your greenfield features from inception to implementation, experimentation, launch and beyond Provide leadership and mentor more junior engineers Work with designers, product managers, data scientists, and other engineers to understand our problem space and create elegant solutions Write robust code that's efficient, easy to read, maintain and test About You Bachelor's degree (or equivalent) in Computer Science or related field 3+ years of experience in a role working with AWS and/or GCP IaaS services (compute, object storage, IAM, networking, VPC) Experience with Terraform, Kubernetes (GKE/EKS), Data Pipelines (Beam/Flink/Kafka/PubSub/SQS), ML Pipelines, Object Storage (S3/GCS), BigQuery, etc. is a plus Experience managing large scale cloud infrastructure with IaC Highly proficient with modern Unix/Linux operating systems/distributions Experience defining SLOs/SLIs and implementing monitoring, alerting, and runbooks Adaptable. Goals can change fast. You anticipate and react quickly Autonomous. You own what you work on. You move fast and get things done Excellent communication. You will need to communicate complex ideas effectively to both technical and non technical audiences, both verbally and in writing Collaborative. You must work collaboratively in a cross functional team and with people at all levels in an organization Location This role is hybrid (3 4 days a week in one of our SF Bay Area offices) Compensation & Benefits The standard base salary range for this position is $140,000-$265,000 annually. Compensation will be determined by factors such as location, level, job related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, medical, vision, and dental coverage, a generous time off policy, and the opportunity to contribute to a 401(k) plan. You'll receive a home office improvement stipend and annual education and wellness stipends to support your growth and well being. We foster a vibrant company culture through regular events and provide healthy lunches daily. EEO Statement We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We are committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. Seniority Level Mid Senior level Employment Type Full time Job Function Engineering and Information Technology Industries Software Development
04/05/2026
Full time
About Glean Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry's most advanced enterprise search has evolved into a full scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business-without vendor lock in or costly implementation cycles. About the Role Glean is seeking an Infrastructure Engineer to build and evolve the platform that powers a highly available, performant, secure and cost effective infrastructure across all clouds. You'll deliver complex components with elegant automation, robust uptime guarantees, autoscaling, and reliable alerting/monitoring for infrastructure that runs across multiple cloud providers. As part of the Platform team, you'll be responsible for critical pieces of Glean's infrastructure, working closely with several other teams to support their workloads. You Will Oversee the entirety of your greenfield features from inception to implementation, experimentation, launch and beyond Provide leadership and mentor more junior engineers Work with designers, product managers, data scientists, and other engineers to understand our problem space and create elegant solutions Write robust code that's efficient, easy to read, maintain and test About You Bachelor's degree (or equivalent) in Computer Science or related field 3+ years of experience in a role working with AWS and/or GCP IaaS services (compute, object storage, IAM, networking, VPC) Experience with Terraform, Kubernetes (GKE/EKS), Data Pipelines (Beam/Flink/Kafka/PubSub/SQS), ML Pipelines, Object Storage (S3/GCS), BigQuery, etc. is a plus Experience managing large scale cloud infrastructure with IaC Highly proficient with modern Unix/Linux operating systems/distributions Experience defining SLOs/SLIs and implementing monitoring, alerting, and runbooks Adaptable. Goals can change fast. You anticipate and react quickly Autonomous. You own what you work on. You move fast and get things done Excellent communication. You will need to communicate complex ideas effectively to both technical and non technical audiences, both verbally and in writing Collaborative. You must work collaboratively in a cross functional team and with people at all levels in an organization Location This role is hybrid (3 4 days a week in one of our SF Bay Area offices) Compensation & Benefits The standard base salary range for this position is $140,000-$265,000 annually. Compensation will be determined by factors such as location, level, job related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, medical, vision, and dental coverage, a generous time off policy, and the opportunity to contribute to a 401(k) plan. You'll receive a home office improvement stipend and annual education and wellness stipends to support your growth and well being. We foster a vibrant company culture through regular events and provide healthy lunches daily. EEO Statement We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We are committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. Seniority Level Mid Senior level Employment Type Full time Job Function Engineering and Information Technology Industries Software Development
Overview PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. Where You Fit We're looking for a skilled staff level Site Reliability Engineer focused on designing, building, and operating our hybrid cloud/on-prem environment. What You'll Do If you're the right candidate, you'll be exercising all the skills you have and building new ones along the way: Advancing the state of our operations by implementing SRE best practices - focusing on users, monitoring, and automation. Engineering infrastructure patterns for cloud environments in Amazon Web Services - building in security, reliability and scalability. Designing, building, and operating our data center to support our rapidly growing Machine Learning team. Integrating on-premises datacenter environments with existing cloud infrastructure to create a seamless hybrid cloud environment. Improving the reliability and resilience of our infrastructure through root-cause analysis and reviewing gaps in designs, and implementations of our infrastructure. Participating in platform on-call rotations and assisting with urgent incident response. What You Bring Our employees' skills come in all shapes and sizes, but to be successful in this role with us, you'll at least need: 8+ years of relevant experience. Automation: You work hard to eliminate toil by automating everything through scripting, configuration management tools (Ansible), and code (Python/GoLang). You've built monitoring infrastructure with modern observability tools (Datadog/Grafana/Prometheus). You've worked with infrastructure as code (Terraform/Cloudformation). You've administered physical hardware stacks in production settings (iDRAC/IPMI/Nvidia UFM/Juniper Systems). You're opinionated on storage solutions and how they can be optimized for high performance workloads (Quobyte/S3/FSx/EFS). Familiarity with modern network designs and comfort operating across network layers. Some experience and opinions on virtualization, containerization, or container orchestration platforms. (EKS/ClusterAPI/KVM). Operations experience: You've managed critical production infrastructure and are familiar with incident response, scaling, and rapid growth related challenges. A bachelor's degree in Computer Science or equivalent experience. An insatiable intellectual curiosity and the ability to learn quickly in a complex space. Travel: Willingness to travel up to 25% of the time. We Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for. PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications - that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way. The cash compensation outlined below includes base salary or hourly wage and on-target commission for employees in eligible roles. The summary below indicates if an employee in this position is eligible for annual bonus, overtime pay and equity awards. Individual compensation packages are tailored based on skills, experience, qualifications, and other job-related factors. Annual Pay Annual Pay Range $165,750 - $224,450 Not Overtime Eligible Eligible for Equity
04/05/2026
Full time
Overview PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. Where You Fit We're looking for a skilled staff level Site Reliability Engineer focused on designing, building, and operating our hybrid cloud/on-prem environment. What You'll Do If you're the right candidate, you'll be exercising all the skills you have and building new ones along the way: Advancing the state of our operations by implementing SRE best practices - focusing on users, monitoring, and automation. Engineering infrastructure patterns for cloud environments in Amazon Web Services - building in security, reliability and scalability. Designing, building, and operating our data center to support our rapidly growing Machine Learning team. Integrating on-premises datacenter environments with existing cloud infrastructure to create a seamless hybrid cloud environment. Improving the reliability and resilience of our infrastructure through root-cause analysis and reviewing gaps in designs, and implementations of our infrastructure. Participating in platform on-call rotations and assisting with urgent incident response. What You Bring Our employees' skills come in all shapes and sizes, but to be successful in this role with us, you'll at least need: 8+ years of relevant experience. Automation: You work hard to eliminate toil by automating everything through scripting, configuration management tools (Ansible), and code (Python/GoLang). You've built monitoring infrastructure with modern observability tools (Datadog/Grafana/Prometheus). You've worked with infrastructure as code (Terraform/Cloudformation). You've administered physical hardware stacks in production settings (iDRAC/IPMI/Nvidia UFM/Juniper Systems). You're opinionated on storage solutions and how they can be optimized for high performance workloads (Quobyte/S3/FSx/EFS). Familiarity with modern network designs and comfort operating across network layers. Some experience and opinions on virtualization, containerization, or container orchestration platforms. (EKS/ClusterAPI/KVM). Operations experience: You've managed critical production infrastructure and are familiar with incident response, scaling, and rapid growth related challenges. A bachelor's degree in Computer Science or equivalent experience. An insatiable intellectual curiosity and the ability to learn quickly in a complex space. Travel: Willingness to travel up to 25% of the time. We Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for. PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications - that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way. The cash compensation outlined below includes base salary or hourly wage and on-target commission for employees in eligible roles. The summary below indicates if an employee in this position is eligible for annual bonus, overtime pay and equity awards. Individual compensation packages are tailored based on skills, experience, qualifications, and other job-related factors. Annual Pay Annual Pay Range $165,750 - $224,450 Not Overtime Eligible Eligible for Equity
Your success is a train ride away! As we move America's workforce toward the future, Amtrak connects businesses and communities across the country. We employ more than 20,000 diverse, energetic professionals in a variety of career fields throughout the United States. The safety of our passengers, our employees, the public and our operating environment is our priority, and the success of our railroad is due to our employees. Are you ready to join our team? Our values of 'Do the Right Thing, Excel Together and Put Customers First' are at the heart of what matters most to us, and our Core Capabilities, 'Building Trust, Accountability, Effective Communication, Customer Focus, and Proactive Safety & Security' are what every employee needs to know and do to be most impactful at Amtrak. By living the Amtrak values, focusing on our capabilities, and actively embracing and fostering diverse ideas, backgrounds, and perspectives, together we will honor our past and make Amtrak a company of the future. Opportunities: Lead & Principal Software Engineers for Digital Technology Role is based in Washington DC. Requests for Remote work will be reviewed but not guaranteed. Amtrak will be hiring experienced Software Engineers to support our Digital Technology (DT) organization. Open positions may include: Lead Software Engineer Principal Software Engineer Opportunities will exist across several Digital Technology teams supporting enterprise applications, cloud modernization, system integrations, and enhancements to core technology platforms. These engineering roles may support: Development of high-quality software systems Full-stack application development and architecture Cloud engineering and platform services API and microservices design Enhancements to enterprise systems (including SAP and related platforms) Mainframe/TPF modernization efforts Application support, testing, and deployment coordination Collaboration with business analysts, architects, and product teams to translate requirements into technical solutions If you would like to be considered for upcoming Software Engineering positions, please apply here. Minimum Qualifications Bachelor's Degree or equivalent combination of education, training and/or relevant experience. Plus 6 years of relevant work experience. Essential Functions Lead the design, development, and deployment of enterprise-grade applications using Java, Spring Frameworks, and Angular. Architect and implement cloud-native solutions leveraging AWS services and container orchestration with Kubernetes. Drive best practices in Agile development, CI/CD pipelines, and DevOps tooling (Jenkins, Git, Docker). Collaborate with cross-functional teams to ensure high-quality deliverables aligned with business objectives. Implement Test-Driven Development (TDD) and Behavior-Driven Development (BDD) methodologies to maintain robust and reliable code. Optimize application performance and scalability through effective database design and query tuning in PostgreSQL or other relational databases. Provide technical leadership, mentorship, and guidance to junior engineers and peers. Ensure compliance with security standards and industry best practices throughout the software development lifecycle. Preferred Qualifications Experience developing or modifying Java software applications and related technologies (Core Java, Spring Boot, Kafka, Node.js, Python, etc) Strong understanding of core internet technologies (HTTP, REST, database fundamentals, data modeling) Proficiency in SQL Server, Oracle, or similar relational databases Experience with frontend, backend, mobile, cloud services (AWS, Azure, GCP), DevOps (Jenkins, Kubernetes, Docker), or a combination of these Ability to define, design, and implement integration plans Familiarity with Agile methodologies (SCRUM, SAFe) Architecture & Leadership (especially for Principal level) Ability to articulate complex architectures in actionable terms Experience serving as a point of escalation for technical issue resolution Ability to support or lead architectural decision-making Strong documentation and communication skills Experience mentoring or guiding engineering teams Additional Profile Strengths Broad understanding of information systems and application architecture standards Experience with system maintenance, enhancements, or production support Ability to work under deadlines and manage changing priorities Knowledge, Skills, and Abilities Proficient in Java, Spring Core, Spring Boot, Spring MVC, Spring Batch, and Spring Integration. Strong front-end development skills with Angular (latest versions), JavaScript, TypeScript, HTML5, CSS3, Bootstrap, and Material UI. Deep understanding of AWS cloud services and cloud-native application architecture. Solid experience with SQL/PostgreSQL and relational database design. Hands-on experience with Agile methodologies, CI/CD pipelines, and DevOps tools (Jenkins, Git, Docker, Kubernetes). Familiarity with Jira and Confluence for project tracking and documentation. Strong knowledge of TDD and BDD principles. Excellent problem-solving and analytical skills. Strong communication and interpersonal abilities to collaborate effectively with stakeholders. Proven leadership experience in guiding teams and delivering complex projects. The salary/hourly range is $103,700 - $134,460 for the Lead Software Engineer and $124,600 - $161,352 for the Principal Software Engineer. Pay is based on several factors including but not limited to education, work experience, certifications, etc. Depending on an employee's assigned worksite or location, Amtrak may consider a geo-pay differential to be applied to the employee's base salary. Amtrak may offer additional incentive and pay programs to recognize and reward our employees, including a short-term incentive bonus based upon factors such as individual and company performance that is commensurate with the level of the position and/or long-term incentive plan compensation. In addition to your salary, Amtrak offers a comprehensive benefit package that includes health, dental, and vision plans; health savings accounts; wellness programs; flexible spending accounts; 401K retirement plan with employer match; life insurance; short and long term disability insurance; paid time off; back-up care; adoption assistance; surrogacy assistance; reimbursement of education expenses; Public Service Loan Forgiveness eligibility; Railroad Retirement sickness and retirement benefits; and rail pass privileges. Requisition ID: 165702 Work Arrangement: 06-Onsite 4/5 Days for more information about work arrangements at Amtrak. Relocation Offered: No Travel Requirements: Up to 25% Recruiter Name: Joshua Popejoy Recruiter Email: recruiterEmail You power our progress through your performance. We want your work at Amtrak to be more than a job. We want your career at Amtrak to be a fulfilling experience where you find challenging work, rewarding opportunities, respect among colleagues, and attractive compensation. Amtrak maintains a culture that values high performance and recognizes individual employee contributions. Amtrak is committed to a safe workplace free of drugs and alcohol. All Amtrak positions requires a pre-employment background check that includes prior employment verification, a criminal history check and a pre-employment drug screen. Candidates who test positive for marijuana will be disqualified, regardless of any state or local statute, ordinance, regulation, or other law that legalizes or decriminalizes the use or possession of marijuana, whether for medical, recreational, or other use. Amtrak's pre-employment drug testing program is administered in accordance with DOT regulations and applicable law. In accordance with DOT regulations (49 CFR 40.25), Amtrak is required to obtain prior drug and alcohol testing records for applicants/employees intending to perform safety-sensitive duties for covered Department of Transportation positions. If an applicant/employee refuses to provide written consent for Amtrak to obtain these records, the individual will not be permitted to perform safety-sensitive functions. In accordance with federal law governing security checks of covered individuals for providers of public transportation (Title 6 U.S.C. 1143), Amtrak is required to screen applicants for any permanent or interim disqualifying criminal offenses. Note that any education requirement listed above may be deemed satisfied if you have an equivalent combination of education, training and experience. Amtrak is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race/color, to include traits historically associated with race, including but not limited to, hair texture and hairstyles such as braids, locks and twists, religion, sex (including pregnancy, childbirth and related conditions, such as lactation), national origin/ethnicity, disability (intellectual, mental and physical), veteran status, marital status, ancestry, sexual orientation, gender identity and gender expression, genetic information, citizenship or any other personal characteristics protected by law.
04/05/2026
Full time
Your success is a train ride away! As we move America's workforce toward the future, Amtrak connects businesses and communities across the country. We employ more than 20,000 diverse, energetic professionals in a variety of career fields throughout the United States. The safety of our passengers, our employees, the public and our operating environment is our priority, and the success of our railroad is due to our employees. Are you ready to join our team? Our values of 'Do the Right Thing, Excel Together and Put Customers First' are at the heart of what matters most to us, and our Core Capabilities, 'Building Trust, Accountability, Effective Communication, Customer Focus, and Proactive Safety & Security' are what every employee needs to know and do to be most impactful at Amtrak. By living the Amtrak values, focusing on our capabilities, and actively embracing and fostering diverse ideas, backgrounds, and perspectives, together we will honor our past and make Amtrak a company of the future. Opportunities: Lead & Principal Software Engineers for Digital Technology Role is based in Washington DC. Requests for Remote work will be reviewed but not guaranteed. Amtrak will be hiring experienced Software Engineers to support our Digital Technology (DT) organization. Open positions may include: Lead Software Engineer Principal Software Engineer Opportunities will exist across several Digital Technology teams supporting enterprise applications, cloud modernization, system integrations, and enhancements to core technology platforms. These engineering roles may support: Development of high-quality software systems Full-stack application development and architecture Cloud engineering and platform services API and microservices design Enhancements to enterprise systems (including SAP and related platforms) Mainframe/TPF modernization efforts Application support, testing, and deployment coordination Collaboration with business analysts, architects, and product teams to translate requirements into technical solutions If you would like to be considered for upcoming Software Engineering positions, please apply here. Minimum Qualifications Bachelor's Degree or equivalent combination of education, training and/or relevant experience. Plus 6 years of relevant work experience. Essential Functions Lead the design, development, and deployment of enterprise-grade applications using Java, Spring Frameworks, and Angular. Architect and implement cloud-native solutions leveraging AWS services and container orchestration with Kubernetes. Drive best practices in Agile development, CI/CD pipelines, and DevOps tooling (Jenkins, Git, Docker). Collaborate with cross-functional teams to ensure high-quality deliverables aligned with business objectives. Implement Test-Driven Development (TDD) and Behavior-Driven Development (BDD) methodologies to maintain robust and reliable code. Optimize application performance and scalability through effective database design and query tuning in PostgreSQL or other relational databases. Provide technical leadership, mentorship, and guidance to junior engineers and peers. Ensure compliance with security standards and industry best practices throughout the software development lifecycle. Preferred Qualifications Experience developing or modifying Java software applications and related technologies (Core Java, Spring Boot, Kafka, Node.js, Python, etc) Strong understanding of core internet technologies (HTTP, REST, database fundamentals, data modeling) Proficiency in SQL Server, Oracle, or similar relational databases Experience with frontend, backend, mobile, cloud services (AWS, Azure, GCP), DevOps (Jenkins, Kubernetes, Docker), or a combination of these Ability to define, design, and implement integration plans Familiarity with Agile methodologies (SCRUM, SAFe) Architecture & Leadership (especially for Principal level) Ability to articulate complex architectures in actionable terms Experience serving as a point of escalation for technical issue resolution Ability to support or lead architectural decision-making Strong documentation and communication skills Experience mentoring or guiding engineering teams Additional Profile Strengths Broad understanding of information systems and application architecture standards Experience with system maintenance, enhancements, or production support Ability to work under deadlines and manage changing priorities Knowledge, Skills, and Abilities Proficient in Java, Spring Core, Spring Boot, Spring MVC, Spring Batch, and Spring Integration. Strong front-end development skills with Angular (latest versions), JavaScript, TypeScript, HTML5, CSS3, Bootstrap, and Material UI. Deep understanding of AWS cloud services and cloud-native application architecture. Solid experience with SQL/PostgreSQL and relational database design. Hands-on experience with Agile methodologies, CI/CD pipelines, and DevOps tools (Jenkins, Git, Docker, Kubernetes). Familiarity with Jira and Confluence for project tracking and documentation. Strong knowledge of TDD and BDD principles. Excellent problem-solving and analytical skills. Strong communication and interpersonal abilities to collaborate effectively with stakeholders. Proven leadership experience in guiding teams and delivering complex projects. The salary/hourly range is $103,700 - $134,460 for the Lead Software Engineer and $124,600 - $161,352 for the Principal Software Engineer. Pay is based on several factors including but not limited to education, work experience, certifications, etc. Depending on an employee's assigned worksite or location, Amtrak may consider a geo-pay differential to be applied to the employee's base salary. Amtrak may offer additional incentive and pay programs to recognize and reward our employees, including a short-term incentive bonus based upon factors such as individual and company performance that is commensurate with the level of the position and/or long-term incentive plan compensation. In addition to your salary, Amtrak offers a comprehensive benefit package that includes health, dental, and vision plans; health savings accounts; wellness programs; flexible spending accounts; 401K retirement plan with employer match; life insurance; short and long term disability insurance; paid time off; back-up care; adoption assistance; surrogacy assistance; reimbursement of education expenses; Public Service Loan Forgiveness eligibility; Railroad Retirement sickness and retirement benefits; and rail pass privileges. Requisition ID: 165702 Work Arrangement: 06-Onsite 4/5 Days for more information about work arrangements at Amtrak. Relocation Offered: No Travel Requirements: Up to 25% Recruiter Name: Joshua Popejoy Recruiter Email: recruiterEmail You power our progress through your performance. We want your work at Amtrak to be more than a job. We want your career at Amtrak to be a fulfilling experience where you find challenging work, rewarding opportunities, respect among colleagues, and attractive compensation. Amtrak maintains a culture that values high performance and recognizes individual employee contributions. Amtrak is committed to a safe workplace free of drugs and alcohol. All Amtrak positions requires a pre-employment background check that includes prior employment verification, a criminal history check and a pre-employment drug screen. Candidates who test positive for marijuana will be disqualified, regardless of any state or local statute, ordinance, regulation, or other law that legalizes or decriminalizes the use or possession of marijuana, whether for medical, recreational, or other use. Amtrak's pre-employment drug testing program is administered in accordance with DOT regulations and applicable law. In accordance with DOT regulations (49 CFR 40.25), Amtrak is required to obtain prior drug and alcohol testing records for applicants/employees intending to perform safety-sensitive duties for covered Department of Transportation positions. If an applicant/employee refuses to provide written consent for Amtrak to obtain these records, the individual will not be permitted to perform safety-sensitive functions. In accordance with federal law governing security checks of covered individuals for providers of public transportation (Title 6 U.S.C. 1143), Amtrak is required to screen applicants for any permanent or interim disqualifying criminal offenses. Note that any education requirement listed above may be deemed satisfied if you have an equivalent combination of education, training and experience. Amtrak is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race/color, to include traits historically associated with race, including but not limited to, hair texture and hairstyles such as braids, locks and twists, religion, sex (including pregnancy, childbirth and related conditions, such as lactation), national origin/ethnicity, disability (intellectual, mental and physical), veteran status, marital status, ancestry, sexual orientation, gender identity and gender expression, genetic information, citizenship or any other personal characteristics protected by law.
Get AI-powered advice on this job and more exclusive features. This range is provided by Prime Team Partners. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $150,000.00/yr - $175,000.00/yr Senior Software Engineer Location: Hybrid (1-2x a week onsite) in Bellevue, WA Position Type: Full-Time Compensation: $150K-175K, DOE We are seeking a skilled Senior Software Engineer to lead the modernization of legacy systems while driving innovation in new solutions. This role emphasizes hands-on development, system optimization, and collaboration with cross-functional teams. This company is experiencing rapid growth with a unique product and innovative solutions for their customers. Work on meaningful, mission-driven projects in a collaborative environment with opportunities for autonomy, growth, and leadership. Responsibilities: Modernize and refactor legacy systems for scalability and performance. Design and implement new features and integrations. Work across the stack, focusing on .NET and diverse modern technologies. Solve complex technical challenges and ensure high code quality. Collaborate with stakeholders to align solutions with business goals. Qualifications: Experience with cloud platforms (AWS, Azure, or GCP), containerization, and database optimization. Strong problem-solving and system design skills. Prime Team Partners is an equal opportunity employer. Prime Team Partners does not discriminate on the basis of race, color, religion, national origin, pregnancy status, gender, age, marital status, disability, medical condition, sexual orientation, or any other characteristics protected by applicable state or federal civil rights laws. For contract positions, hired candidates will be employed by Prime Team for the duration of the contract period and be eligible for our company benefits. Benefits include medical, dental and vision. Employees are covered at 75%. We offer a 401K after 6 months, we do not provide paid holidays or PTO, sick time is offered in accordance with local laws. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionInformation Technology IndustriesSoftware Development Referrals increase your chances of interviewing at Prime Team Partners by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for "Software Engineer" roles. Seattle, WA $99,000.00-$124,200.00 3 days ago Seattle, WA $99,500.00-$200,000.00 1 day ago Redmond, WA $84,200.00-$180,400.00 6 days ago Seattle, WA $99,500.00-$200,000.00 1 day ago Front End Software Engineering II, Slack Seattle, WA $157,600.00-$236,500.00 2 days ago Seattle, WA $100,000.00-$720,000.00 4 days ago Seattle, WA $117,760.00-$147,200.00 1 week ago Seattle, WA $140,000.00-$180,000.00 1 month ago Seattle, WA $110,400.00-$138,000.00 2 days ago Seattle, WA $90,000.00-$170,000.00 3 days ago Software Engineer, Research Infrastructure (University Grad) Seattle, WA $140,000.00-$180,000.00 1 month ago Bellevue, WA $157,000.00-$230,000.00 1 week ago Seattle, WA $99,500.00-$200,000.00 2 weeks ago Software Development Engineer - 2025 (US) Seattle, WA $99,500.00-$200,000.00 1 week ago Redmond, WA $99,500.00-$200,000.00 3 days ago Seattle, WA $150,000.00-$158,000.00 7 hours ago Bellevue, WA $157,000.00-$230,000.00 1 week ago Seattle, WA $150,500.00-$269,200.00 2 weeks ago Seattle, WA $90,000.00-$180,000.00 1 week ago Seattle, WA $98,900.00-$228,700.00 1 week ago Seattle, WA $150,000.00-$175,000.00 2 months ago Bellevue, WA $157,000.00-$230,000. hours ago Seattle, WA $91,158.00-$139,222.66 1 week ago Seattle, WA $140,000.00-$180,000.00 1 month ago Redmond, WA $100,600.00-$215,400.00 2 days ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
04/05/2026
Full time
Get AI-powered advice on this job and more exclusive features. This range is provided by Prime Team Partners. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $150,000.00/yr - $175,000.00/yr Senior Software Engineer Location: Hybrid (1-2x a week onsite) in Bellevue, WA Position Type: Full-Time Compensation: $150K-175K, DOE We are seeking a skilled Senior Software Engineer to lead the modernization of legacy systems while driving innovation in new solutions. This role emphasizes hands-on development, system optimization, and collaboration with cross-functional teams. This company is experiencing rapid growth with a unique product and innovative solutions for their customers. Work on meaningful, mission-driven projects in a collaborative environment with opportunities for autonomy, growth, and leadership. Responsibilities: Modernize and refactor legacy systems for scalability and performance. Design and implement new features and integrations. Work across the stack, focusing on .NET and diverse modern technologies. Solve complex technical challenges and ensure high code quality. Collaborate with stakeholders to align solutions with business goals. Qualifications: Experience with cloud platforms (AWS, Azure, or GCP), containerization, and database optimization. Strong problem-solving and system design skills. Prime Team Partners is an equal opportunity employer. Prime Team Partners does not discriminate on the basis of race, color, religion, national origin, pregnancy status, gender, age, marital status, disability, medical condition, sexual orientation, or any other characteristics protected by applicable state or federal civil rights laws. For contract positions, hired candidates will be employed by Prime Team for the duration of the contract period and be eligible for our company benefits. Benefits include medical, dental and vision. Employees are covered at 75%. We offer a 401K after 6 months, we do not provide paid holidays or PTO, sick time is offered in accordance with local laws. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionInformation Technology IndustriesSoftware Development Referrals increase your chances of interviewing at Prime Team Partners by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for "Software Engineer" roles. Seattle, WA $99,000.00-$124,200.00 3 days ago Seattle, WA $99,500.00-$200,000.00 1 day ago Redmond, WA $84,200.00-$180,400.00 6 days ago Seattle, WA $99,500.00-$200,000.00 1 day ago Front End Software Engineering II, Slack Seattle, WA $157,600.00-$236,500.00 2 days ago Seattle, WA $100,000.00-$720,000.00 4 days ago Seattle, WA $117,760.00-$147,200.00 1 week ago Seattle, WA $140,000.00-$180,000.00 1 month ago Seattle, WA $110,400.00-$138,000.00 2 days ago Seattle, WA $90,000.00-$170,000.00 3 days ago Software Engineer, Research Infrastructure (University Grad) Seattle, WA $140,000.00-$180,000.00 1 month ago Bellevue, WA $157,000.00-$230,000.00 1 week ago Seattle, WA $99,500.00-$200,000.00 2 weeks ago Software Development Engineer - 2025 (US) Seattle, WA $99,500.00-$200,000.00 1 week ago Redmond, WA $99,500.00-$200,000.00 3 days ago Seattle, WA $150,000.00-$158,000.00 7 hours ago Bellevue, WA $157,000.00-$230,000.00 1 week ago Seattle, WA $150,500.00-$269,200.00 2 weeks ago Seattle, WA $90,000.00-$180,000.00 1 week ago Seattle, WA $98,900.00-$228,700.00 1 week ago Seattle, WA $150,000.00-$175,000.00 2 months ago Bellevue, WA $157,000.00-$230,000. hours ago Seattle, WA $91,158.00-$139,222.66 1 week ago Seattle, WA $140,000.00-$180,000.00 1 month ago Redmond, WA $100,600.00-$215,400.00 2 days ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Top Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Expand your horizons, advance your career, and contribute to a secure future for generations. Northrop Grumman's Space Sector invites you to bring your pioneering spirit to our collaborative teams. As a DevOps Engineer - Level 2 or 3 supporting a team located in Dulles, VA, you'll be a linchpin in missions of paramount importance, defining the art of the possible from day one. This work will primarily be performed in a SCIF environment. This position is 100% onsite and cannot accommodate telecommute work. This position will work a 9/80 schedule, with every other Friday off. Job Responsibilities In this role you will: Be a part of the enabling technology at Northrop Grumman that puts satellites and spacecraft into space that catapults the Space Protection Mission to the forefront of capability and effectiveness Take program software to the next level by using automation frameworks Learn cutting edge technologies that take full advantage of a cloud environment Locate and remediate problems in code, testing, and deployment Use tools like Jenkins and Ansible to set up automation steps that fast-track code from development, testing, and deployment Automate cloud native technologies, deploy applications, and provision critical infrastructure Work with microservices and distributed application architecture, such as containers, Kubernetes, and/or serverless technology Produce applications that span languages and toolsets including Python, Postgres, Ansible, cloud infrastructure provisioning, PKI, and static code analysis This work will primarily be performed in a SCIF environment. This position is 100% onsite and cannot accommodate telecommute work. This position will work a 9/80 schedule, with every other Friday off. This position is contingent upon the candidate obtaining final clearances and program access(es) within a reasonable period of time as determined by the company. Basic Qualifications (must have/required to be considered): This requisition may be filled at either a level 2, or a level 3 (Principal), depending on the candidate's experience as laid out in the basic qualifications detailed below as well as the interview assessment. Requires an active/current U.S. Government DoD Top-Secret (TS) security clearance at time of application, current and within scope, with an ability to obtain and maintain Sensitive Compartmented Information (SCI) approval/access within a reasonable period of time Level 2: Bachelor's degree with 2 years of relevant experience An additional 4 years of experience may be considered in lieu of a completed Bachelor's Master's degree with 0 years of relevant experience 2+ years of DevOps experience in Cloud Infrastructure, Containerization, Ansible, Kubernetes, and Terraform 2+ years in a technical leadership role managing technical objectives and Jira metrics reporting Experience working in Windows and Linux at the command line interface. Experience with PowerShell and Bash scripting. Current Security+, CISSP, or other certification that meets DoD 8140 IAT Level II or Level III Level 3: ( Principal level ) Bachelor's degree with 5 years of relevant experience An additional 4 years of experience may be considered in lieu of a completed Bachelor's Master's degree with 3 years of relevant experience PhD with 1 year of relevant experience 5+ years of DevOps experience in Cloud Infrastructure, Containerization, Ansible, Kubernetes, and Terraform 5+ years in a technical leadership role managing technical objectives and Jira metrics reporting Experience working in Windows and Linux at the command line interface. Experience with PowerShell and Bash scripting. Current Security+, CISSP, or other certification that meets DoD 8140 IAT Level II or Level III Preferred Qualifications (not required, but nice to have): TS with current/active SCI Favorably adjudicated CI or FS polygraph STEM degree AWS experience If this job description reads like it was written specifically for you, consider joining our team! Curious about all the exciting developments with the Northrop Grumman Space Sector? Click the link below: Working at Northrop Grumman is more than just a paycheck. We offer a comprehensive Total Rewards and benefits package designed to help you thrive at work and in life. For more information on our Total Rewards package, please visit our Total Rewards site. Northrop Grumman Total Rewards Primary Level Salary Range: $91,800.00 - $137,600.00 Secondary Level Salary Range: $114,000.00 - $171,000.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
04/05/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Top Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Expand your horizons, advance your career, and contribute to a secure future for generations. Northrop Grumman's Space Sector invites you to bring your pioneering spirit to our collaborative teams. As a DevOps Engineer - Level 2 or 3 supporting a team located in Dulles, VA, you'll be a linchpin in missions of paramount importance, defining the art of the possible from day one. This work will primarily be performed in a SCIF environment. This position is 100% onsite and cannot accommodate telecommute work. This position will work a 9/80 schedule, with every other Friday off. Job Responsibilities In this role you will: Be a part of the enabling technology at Northrop Grumman that puts satellites and spacecraft into space that catapults the Space Protection Mission to the forefront of capability and effectiveness Take program software to the next level by using automation frameworks Learn cutting edge technologies that take full advantage of a cloud environment Locate and remediate problems in code, testing, and deployment Use tools like Jenkins and Ansible to set up automation steps that fast-track code from development, testing, and deployment Automate cloud native technologies, deploy applications, and provision critical infrastructure Work with microservices and distributed application architecture, such as containers, Kubernetes, and/or serverless technology Produce applications that span languages and toolsets including Python, Postgres, Ansible, cloud infrastructure provisioning, PKI, and static code analysis This work will primarily be performed in a SCIF environment. This position is 100% onsite and cannot accommodate telecommute work. This position will work a 9/80 schedule, with every other Friday off. This position is contingent upon the candidate obtaining final clearances and program access(es) within a reasonable period of time as determined by the company. Basic Qualifications (must have/required to be considered): This requisition may be filled at either a level 2, or a level 3 (Principal), depending on the candidate's experience as laid out in the basic qualifications detailed below as well as the interview assessment. Requires an active/current U.S. Government DoD Top-Secret (TS) security clearance at time of application, current and within scope, with an ability to obtain and maintain Sensitive Compartmented Information (SCI) approval/access within a reasonable period of time Level 2: Bachelor's degree with 2 years of relevant experience An additional 4 years of experience may be considered in lieu of a completed Bachelor's Master's degree with 0 years of relevant experience 2+ years of DevOps experience in Cloud Infrastructure, Containerization, Ansible, Kubernetes, and Terraform 2+ years in a technical leadership role managing technical objectives and Jira metrics reporting Experience working in Windows and Linux at the command line interface. Experience with PowerShell and Bash scripting. Current Security+, CISSP, or other certification that meets DoD 8140 IAT Level II or Level III Level 3: ( Principal level ) Bachelor's degree with 5 years of relevant experience An additional 4 years of experience may be considered in lieu of a completed Bachelor's Master's degree with 3 years of relevant experience PhD with 1 year of relevant experience 5+ years of DevOps experience in Cloud Infrastructure, Containerization, Ansible, Kubernetes, and Terraform 5+ years in a technical leadership role managing technical objectives and Jira metrics reporting Experience working in Windows and Linux at the command line interface. Experience with PowerShell and Bash scripting. Current Security+, CISSP, or other certification that meets DoD 8140 IAT Level II or Level III Preferred Qualifications (not required, but nice to have): TS with current/active SCI Favorably adjudicated CI or FS polygraph STEM degree AWS experience If this job description reads like it was written specifically for you, consider joining our team! Curious about all the exciting developments with the Northrop Grumman Space Sector? Click the link below: Working at Northrop Grumman is more than just a paycheck. We offer a comprehensive Total Rewards and benefits package designed to help you thrive at work and in life. For more information on our Total Rewards package, please visit our Total Rewards site. Northrop Grumman Total Rewards Primary Level Salary Range: $91,800.00 - $137,600.00 Secondary Level Salary Range: $114,000.00 - $171,000.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
We are looking for software engineers, preferably proficient in TypeScript. We prefer people who are comfortable in a full-stack role and have superhero strengths in building scalable backends. We play with a lot of hardware and spend a lot of time thinking about developer UX. We like written communications. We prefer to keep things simple and don't overthink first implementations. You should generally be curious, comfortable with the unknown, love experimentation, and be able to move fast. Overview Our high-level goal is to build a device/manufacturer agnostic integration layer that connects to various devices and exposes their functionality through a simple API. This task involves integrating dozens of different IoT brands and their protocols (Z-Wave, Zigbee, BACnet, OEM API, etc.) and neatly organizing them amongst common functionality. We spend a lot of time building this part of our stack. Client Libraries & APIs Our customers tend to be quite technical, and some of them even contribute code to our SDKs. We spend a lot of time creating tools and client libraries to make interfacing applications with devices easier. We strive to standardize device functions across brands and hide all the nasty complexity away. Qualifications 4+ years of full-stack development experience with expertise in TypeScript. Strong in SQL, particularly with PostgreSQL, including schema design, query optimization, and performance tuning. Familiarity with SRE principles, including incident management, monitoring, and system reliability. Experience in designing and maintaining scalable backend APIs and client libraries, with a focus on performance, reliability, and developer experience. You maintain a healthy balance between perfectionism and actually getting stuff done. Preferred Qualifications Prior experience working with both high growth stage private startups and larger scale companies. Previous experience or interest in IoT, hardware integration, or related fields is a bonus. About Seam Seam is an API for controlling a wide range of IoT devices. Today we primarily focus on door lock and access systems. Our customers span industries, such as hospitality, real estate, or even last-mile delivery, and range in size from startups-in-garage to public companies. Across the board, their goal is the same: use code to control hardware devices, and orchestrate the physical world. About You We generally seek "sharp minds with kind souls." We prefer generalists over specialists; we move quickly, with purpose; we enjoy working with each other and aim to be the best. Benefits 100% employer-paid health care insurance including medical, dental, vision + 75% dependent coverage Paid Time Off and Company paid holidays Base Pay Range: $130k - $200k per year + Equity Voluntary Self-Identification Seam participates in voluntary self-identification of disability for OFCCP compliance. Participation is voluntary and confidential, and will not affect your employment opportunities. If you choose to participate, the information will be used solely for equal employment opportunity reporting purposes.
04/05/2026
Full time
We are looking for software engineers, preferably proficient in TypeScript. We prefer people who are comfortable in a full-stack role and have superhero strengths in building scalable backends. We play with a lot of hardware and spend a lot of time thinking about developer UX. We like written communications. We prefer to keep things simple and don't overthink first implementations. You should generally be curious, comfortable with the unknown, love experimentation, and be able to move fast. Overview Our high-level goal is to build a device/manufacturer agnostic integration layer that connects to various devices and exposes their functionality through a simple API. This task involves integrating dozens of different IoT brands and their protocols (Z-Wave, Zigbee, BACnet, OEM API, etc.) and neatly organizing them amongst common functionality. We spend a lot of time building this part of our stack. Client Libraries & APIs Our customers tend to be quite technical, and some of them even contribute code to our SDKs. We spend a lot of time creating tools and client libraries to make interfacing applications with devices easier. We strive to standardize device functions across brands and hide all the nasty complexity away. Qualifications 4+ years of full-stack development experience with expertise in TypeScript. Strong in SQL, particularly with PostgreSQL, including schema design, query optimization, and performance tuning. Familiarity with SRE principles, including incident management, monitoring, and system reliability. Experience in designing and maintaining scalable backend APIs and client libraries, with a focus on performance, reliability, and developer experience. You maintain a healthy balance between perfectionism and actually getting stuff done. Preferred Qualifications Prior experience working with both high growth stage private startups and larger scale companies. Previous experience or interest in IoT, hardware integration, or related fields is a bonus. About Seam Seam is an API for controlling a wide range of IoT devices. Today we primarily focus on door lock and access systems. Our customers span industries, such as hospitality, real estate, or even last-mile delivery, and range in size from startups-in-garage to public companies. Across the board, their goal is the same: use code to control hardware devices, and orchestrate the physical world. About You We generally seek "sharp minds with kind souls." We prefer generalists over specialists; we move quickly, with purpose; we enjoy working with each other and aim to be the best. Benefits 100% employer-paid health care insurance including medical, dental, vision + 75% dependent coverage Paid Time Off and Company paid holidays Base Pay Range: $130k - $200k per year + Equity Voluntary Self-Identification Seam participates in voluntary self-identification of disability for OFCCP compliance. Participation is voluntary and confidential, and will not affect your employment opportunities. If you choose to participate, the information will be used solely for equal employment opportunity reporting purposes.
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/05/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
About The Team OpenAI's Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI's supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About The Role We are seeking a highly skilled cross-stack engineer with deep expertise in making ML systems reliable at scale. This hands-on individual contributor will sit within our hardware team and work closely with chip design, platform design, hardware health, and the broader industry ecosystem to architect, implement, and deploy reliable next-generation AI accelerator systems. This engineer will evaluate system and chip architecture holistically, identify high-ROI opportunities to improve reliability and availability across the stack, and translate those opportunities into strategy and silicon features. In This Role, You Will Oversee DFX architecture, implementation, and execution in silicon from concept to high-volume deployment, and propose high-ROI features to enhance reliability and fault tolerance. DFX includes design for testability, reliability, availability, and serviceability of high-performance AI hardware. Build system-level reliability models grounded in empirical data to guide organization-wide DFX and reliability strategy. This requires a detailed understanding of chip and system architecture, design, implementation, and component-level reliability. Collaborate with chip and platform architecture/design teams to explore and implement DFX features, including the specification and implementation of digital/mixed-signal IP, firmware/system software, and DFX methodology (in partnership with engineering teams). Partner with hardware health and platform design teams to continuously improve reliability and fault tolerance in NPI and HVM. This includes optimizing operating conditions, designing experiments, and performing data analysis to drive continuous, data-driven improvements across the stack. Serve as the DFX/reliability champion and evangelist to align the broader industry ecosystem with OpenAI's requirements and roadmap. Qualifications BS with 15+ years, MS with 10+ years, or PhD with 3+ years of relevant industry experience focused on reliability across the chip/platform stack. Hands-on experience with RTL design and DFT is required; physical implementation and/or silicon ATE experience is preferred. Detailed understanding of ML chip and platform architecture and ML workload characteristics is required. Strong fundamentals in reliability modeling, with hands-on skills in empirical data analysis. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. OpenAI is committed to providing reasonable accommodations to applicants with disabilities; requests can be made via this link. Compensation Range: $285K - $460K
04/05/2026
Full time
About The Team OpenAI's Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI's supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About The Role We are seeking a highly skilled cross-stack engineer with deep expertise in making ML systems reliable at scale. This hands-on individual contributor will sit within our hardware team and work closely with chip design, platform design, hardware health, and the broader industry ecosystem to architect, implement, and deploy reliable next-generation AI accelerator systems. This engineer will evaluate system and chip architecture holistically, identify high-ROI opportunities to improve reliability and availability across the stack, and translate those opportunities into strategy and silicon features. In This Role, You Will Oversee DFX architecture, implementation, and execution in silicon from concept to high-volume deployment, and propose high-ROI features to enhance reliability and fault tolerance. DFX includes design for testability, reliability, availability, and serviceability of high-performance AI hardware. Build system-level reliability models grounded in empirical data to guide organization-wide DFX and reliability strategy. This requires a detailed understanding of chip and system architecture, design, implementation, and component-level reliability. Collaborate with chip and platform architecture/design teams to explore and implement DFX features, including the specification and implementation of digital/mixed-signal IP, firmware/system software, and DFX methodology (in partnership with engineering teams). Partner with hardware health and platform design teams to continuously improve reliability and fault tolerance in NPI and HVM. This includes optimizing operating conditions, designing experiments, and performing data analysis to drive continuous, data-driven improvements across the stack. Serve as the DFX/reliability champion and evangelist to align the broader industry ecosystem with OpenAI's requirements and roadmap. Qualifications BS with 15+ years, MS with 10+ years, or PhD with 3+ years of relevant industry experience focused on reliability across the chip/platform stack. Hands-on experience with RTL design and DFT is required; physical implementation and/or silicon ATE experience is preferred. Detailed understanding of ML chip and platform architecture and ML workload characteristics is required. Strong fundamentals in reliability modeling, with hands-on skills in empirical data analysis. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. OpenAI is committed to providing reasonable accommodations to applicants with disabilities; requests can be made via this link. Compensation Range: $285K - $460K
