63 jobs found

Job Description Job Description Tabs is the leading AI-native revenue platform for modern finance and accounting teams. Tabs agents automate the entire contract-to-cash lifecycle, including billing, collections, revenue recognition, and reporting, to help teams eliminate manual work and accelerate cash flow. High-growth companies like Cursor and Statsig rely on Tabs to generate invoices directly from contracts, reconcile payments in real time, and automate ASC 606 compliance. Founded in 2023, Tabs has raised over $91 million from Lightspeed Venture Partners , General Catalyst , and Primary . The team is headquartered in New York and brings deep expertise in finance and AI. About the Role We're looking for a Staff Site Reliability Engineer to lead the evolution of Tabs' platform as we scale. In this role, you'll operate as a senior individual contributor, partnering closely with engineering and product teams to design, build, and operate systems that are reliable, observable, and easy to develop on. You'll own our infrastructure direction, shape how we ship software, and set the standard for operational excellence across the company. This is a high-impact role for someone who enjoys solving complex systems problems, influencing architecture, and raising the reliability bar without becoming a gatekeeper. What You'll Own AWS infrastructure direction and platform evolution, including the migration from ECS/Fargate toward a more modern, scalable runtime CI/CD systems with a strong emphasis on developer experience, safety, and automation (GitHub Actions today; maturing CD tomorrow) Ephemeral environments and preview deploys to speed iteration and increase confidence in changes Observability standards across metrics, logs, and tracing, including alert hygiene, dashboards, and SLO development Incident response, postmortems, and the reliability culture that surrounds them What You'll Do Define and evolve reliability standards, SLIs, SLOs, and error budgets Improve observability, alerting, and incident processes across services Lead high-severity incidents and drive clear, actionable follow-ups Partner with engineering teams to design resilient, scalable systems Build automation to reduce toil and lower operational risk Mentor engineers and influence best practices across teams Who You Are You've run production systems on AWS and can lead platform-level change You think in systems: risk, rollback strategy, blast radius, and feedback loops You treat CI/CD and environments as products that should be fast, reliable, and self-serve You influence through trust and clarity rather than control You balance pragmatism with long-term system health You value learning from failure and improving processes over assigning blame You communicate clearly and work well across teams Experience 10+ years in SRE, infrastructure, or backend engineering roles Strong software engineering experience in one or more modern languages Expertise operating distributed systems in production at scale Deep experience with AWS, observability tooling, and CI/CD systems Comfortable navigating ambiguity and setting direction in a fast-moving environment Additional Information This role is based onsite in our Soho office in New York City Perks and Benefits (Full-time Employees) Competitive compensation and equity Unlimited PTO Up to 100% employer covered monthly healthcare premium (medical, dental, vision) Lunch provided via Sharebite, plus dinner for any later in office days. Parental leave up to 12 weeks Tax free commuter and parking benefits Voluntary insurances (Life, Hospital, Critical Illness, Accident) Employee Assistance Program (Rightway) Free One Medical Membership 401k Tabs is an equal opportunity employer. We welcome teammates of all identities and do not discriminate on the basis of race, ethnicity, religion, gender identity, sexual orientation, age, disability, veteran status, or any other protected characteristic. We're committed to creating an environment where everyone can grow, contribute, and feel comfortable being themselves. Compensation Range: $220K - $260K

Job Description Job Description Details: Posted: 6/3/2026 Level: Administrator IV (SUOAF) Hours: Full-time, 35 hours per week Closing Date: Applications will be accepted until the position is filled, with materials submitted by 5:00pm (EST) on Friday, July 17, 2026 , receiving priority consideration. Location: CSCU System Office 61 Woodland Street Hartford, CT 06105 This position is not remote For more information, please visit the campus website or Connecticut State Colleges & Universities Mission: The Connecticut State Colleges & Universities (CSCU) contribute to the creation of knowledge and the economic growth of the state of Connecticut by providing affordable, innovative, and rigorous programs. Our learning environments transform students and facilitate an ever-increasing number of individuals to achieve their personal and career goals. CSCU Vision: The Connecticut State Colleges and Universities will build on its long and successful history by working collectively - within and across institutions - and by engaging external partners to increase the number of students pursuing and completing personally and professionally rewarding certificate and degree programs, improving their social mobility, and helping the state to meet its current and future workforce demands. CSCU Equity Statement: The Connecticut State Colleges and Universities commits to bold and disruptive change by actively identifying, naming, and dismantling structural racism, systemic poverty, and other barriers; establishing equitable and anti-racist policies and practices; and empowering students, faculty, staff, and administrators to advance racial, social, and economic justice. Our core collective responsibility is to continuously assess practices and policies and transform the world we live in by eliminating inequities. Anticipated Start Date: June 2026Position Summary: Under general supervision, provides technical support and assistance in information systems administration, problem resolution, system testing, development, integration, and security. Assists in designing, developing, testing, deploying, and maintaining technical solutions to enhance information systems. Example of Job Duties: Under the direction of the Senior Systems Development Manager or Designee, the Systems Software & Integration Engineer is responsible for technical support through effective performance in these essential duties: Develops, maintains, performs, or assists with procedures to ensure the integrity of information systems. Assists in design and coordinates with programmers to develop software solutions and integrations. Maintains a thorough understanding of software application subsystems, gauging the impact of system access requests and handling items such as code modification and configuration. Assists with testing, deployment, maintenance of software and database applications and enhancements. Works as a system analyst with key personnel to help define user needs and develop solutions. Coordinates with technical and functional staff to troubleshoot application and database problems. Works with technical and functional staff to analyze, design, construct and implement applications and integrations; helps determine and document business needs and requirements for upgrades and enhancements. Manages moderately complex projects from start to finish, including resource planning. Assists in implementing security policies & procedures, along with investigation and resolution of security incidents, to ensure a stable and secure computing environment. May supervise professional staff and/or student workers. Performs other duties related to those above, which do not alter the basic level of responsibility of the position. This posting includes qualifications, experience and skills but is not limited to the full specifications stated in the job description. Minimum Qualifications: Bachelor's degree in computer science, information systems, or related field. Incumbents are required to have demonstrated advanced knowledge and abilities in the following: Minimum four years of experience in design, implementation, testing, maintenance, and support of information systems in an ERP environment, preferably Ellucian Banner. Hands-on experience with a currently supported version of a Relational Database Management System (RDBMS) such as: Oracle, Microsoft SQL, MySQL, or Postgres using tools such as TOAD or SQL Developer. Experience with one or more RDBMS development languages such as: SQL, PL/SQL, PostgreSQL, or equivalent. Experience in one or more reporting and analytical tools such as Argos, Cognos, PowerBI, or equivalent. Experience in one or more software development methodologies, data modeling, and best practices in software development. Ability to take ownership and manage moderately complex projects from start to completion. Excellent customer service and communication skills. Ability to work with people of various backgrounds and at all levels of technical knowledge. Strong organizational, analytical, and problem-solving skills. Candidates must possess proven ability to effectively work with culturally, linguistically, and ethnically diverse faculty, staff, and students. They are expected to have excellent interpersonal oral and written communication skills along with strong Information technology literacy skills such as Microsoft Office (Word, Excel, Outlook, Teams etc.).Preferred Qualifications: Experience with Unix/Linux operating system in a large-scale, high transactional production environment. Familiarity with web development tools such as: HTML5, CSS, Bootstrap, JSON, Java, JavaScript, AngularJS and RESTful Web Services. Familiarity with NodeJS, React.js and an IDE tool such as Visual Studio. Familiarity with automating batch processes using scheduling tools such as crontab, Automic or ISE (EnterpriseSCHEDULE) or comparable tools. Familiarity with, or ability to learn, portal applications, system integrations/interfaces, and Learning Management systems. Preferred platforms are the Ellucian Experience portal, Ellucian Data Connect, Ellucian Ethos, Intelligent Learning Platform (ILP), and Blackboard. These qualifications may be waived for individuals with appropriate alternate experience.Starting Salary: Minimum Salary; $85,465 approximate annual plus excellent State of CT medical insurance, retirement, and related fringe benefits. The salary will be based on the selected candidate's qualifications such as education and job-related experience, and internal equity. We offer a comprehensive benefits package to help you stay well, protect yourself and your family, and plan for a secure future. Benefits include generous leave policies; several retirement plans; and many choices for comprehensive health insurance. You also have access to many additional benefits to save for retirement, protect your family & more with supplemental benefits. Tuition reimbursement may apply if applicable. Application Instructions: To apply you must submit a cover letter and resume. The cover letter may be entered as text in the corresponding box, or it can be uploaded as a combined file with the resume. Incomplete applications or those submitted after the closing date will not be considered and links to other sources to view resumes are not acceptable. For more information or to apply via our website at Selection Procedure: Following the closing date, application materials will be evaluated by a selection committee. Candidates selected for further consideration will be limited to those applicants who are best qualified based on the minimum and preferred qualifications and who have submitted all the required documents by the closing date and time listed on the job announcement. Candidates who have been selected and approved to interview will be contacted, and finalists will be recommended for further consideration by the Hiring Manager for final selection and recommendation for employment. The selection process may also include practical exercises (i.e., teaching demonstration and/or other written, technical, manipulative, or simulation exercises) to evaluate candidates' qualifications. Background Screening: All employment, if offered, is contingent upon proof of citizenship or employability under the requirement of the Immigration and Control Act (IRCA) and the successful passing of a background check, including granting permission to contact current and previous employers for verification. CSCU is committed to providing a safe campus community. Background investigations include reference checks, a criminal history record check and, when appropriate, a financial (credit) report or driving history check. Continuing Notice of Nondiscrimination CSCU does not discriminate on the basis of race, color, religious creed, age, gender, gender identity or expression, national origin, marital status, ancestry, present or past history of mental disorder, learning disability or physical disability, veteran status, sexual orientation, genetic information or criminal record. For inquiries regarding the non-discrimination policies, please contact . CSCU IS AN AFFIRMATIVE ACTION/EQUAL OPPORTUNITY EMPLOYER, M/F Powered by JazzHR 0hfT9CfgaF

Job Description Job Description Our client is seeking an Senior Machine Learning Engineer to join their Center for Data Analytics, Innovation, and Rigor (DAIR) team in New York City. As the Senior Machine Learning (ML) Engineer , you will apply expertise in Natural Language Processing (NLP) and Large Language Models (LLMs) to develop and implement innovative ML solutions that have the potential to make a significant impact in the lives of children and adolescents struggling with mental health issues. You will work with researchers, clinicians, and software engineers within DAIR and across departments to design, prototype, deploy and maintain applied ML solutions to enhance our digital mental health tools. This position is based in a professional office environment. It requires the ability to sit or stand for extended periods, operate standard office equipment (including computers, phones, copiers, and printers), perform repetitive tasks, and communicate effectively with others. Occasional lifting of up to 10 pounds may also be required. This role may require occasional travel for meetings. Our client is dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. They have become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Responsibilities: - Design, implement, and maintain machine learning models with a focus on NLP and LLMs for real-world application in the mental health field. - Perform analyses on large datasets using high-performance computing infrastructures. - Collaborate with cross-functional teams to integrate ML solutions into research projects and mental health tools. - Develop and maintain data pipelines for training, evaluating, and deploying models. - Leverage expertise to create innovative solutions to complex problems using state-of-the-art ML methods. - Ensure data quality, security, and compliance with privacy regulations. - Perform additional job-related duties as assigned. Qualifications: - Master's degree in Neuroscience, Psychology, Engineering, Computer Science or equivalent combination of education and experience. - 8+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning). - 8+ years of experience in at least one scientific programming language (e.g., Python/R, Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars, Pytorch) is required. - 5+ years of experience working in a Linux environment, using version control systems (e.g., GitHub), and software virtualization platforms (e.g., Docker). - 3+ years of practical experience developing and designing production-oriented machine learning technologies and systems, including hands-on experience in NLP and modern ML/NLP.toolchains (e.g., pytorch, tensorflow, SpaCy, HuggingFace, NLTK). - Experience can be concurrent with education. - Work cooperatively and contribute to group efforts in a very collaborative, open-source, and multidisciplinary environment. - Good knowledge of standard office software applications (e.g., Microsoft Word, Excel, PowerPoint, etc.). - Demonstrated track record of strong technical writing and communication skills. - Understanding data privacy regulations (HIPAA, GDPR) and research ethics. - Strong interpersonal skills, as well as strong written and oral communication. - Ability to independently and responsibly contribute to data analysis and machine learning technologies in clinical contexts. - Capable of mentoring staff tasked with machine learning model development. - Identify and address challenges with innovative solutions. - Skilled in planning, executing, and monitoring projects. Special Considerations: The anticipated salary range for this position is $118,000 - $148,000 USD annually. Our client's competitive compensation and benefits include medical insurance, 401(k), paid parental leave, dependent care, flexible work schedules, discounted tickets and entertainment perks programs. The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. Our client is an equal opportunity employer and does not discriminate in employment based on race, religion (including religious dress and grooming practices), color, sex/gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sex stereotype, gender identity/gender expression/transgender (including whether or not you are transitioning or have transitioned) and sexual orientation; national origin (including language use restrictions and possession of a driver's license issued to persons unable to prove their presence in the United States is authorized under federal law Vehicle Code section 12801.9 ); ancestry, physical or mental disability, medical condition, genetic information/characteristics, marital status/registered domestic partner status, age (40 and over), sexual orientation, military or veteran status, or any other basis protected by federal, state or local law or ordinance or regulation.

Description Travel Requirement: Up to 25% Security Clearance: Ability to obtain and maintain a Secret clearance required Sherpa 6 is seeking a Project Manager to own project success end-to-end - budget, scope, schedule, and customer satisfaction - on behalf of our Government customers. We're looking for someone who demonstrates strong leadership and project execution skills, has a track record as an effective communicator and problem solver, and can develop and maintain good working relationships with internal and external stakeholders. The candidate must demonstrate a commitment to ethics and integrity, and will have the ability to operate in a team environment that is diverse and possibly remote as well as collaborate across multiple business areas to accomplish Sherpa 6's goals. Primary Responsibilities: Manage the full life cycle of assigned projects. Provide a single point of contact for assigned projects. Interface with all stakeholders including Contracting, Financial, Legal, Security, Senior Staff, Executive Staff, Customers, End Users, Engineering, IT, and Team Members. Participate in Business Development activities including networking, program capture, and proposal development. Develop project artifacts including detailed work plans, schedules, project estimates (Estimates at Completion, or EACs), resource plans, and status reports based on contractual requirements. Conduct project meetings virtually and/or in-person. Perform project tracking and analysis. Ensure adherence to quality standards. Manage and review project deliverables. Ensure all project contractual obligations are being satisfied. Provide analytical guidance to the project team. Recommend and/or direct the analysis and solutions of problems. Perform staffing and workload forecasting. Work with Project Controllers to satisfy project financial requirements. Requirements Bachelor's Degree from accredited college or university in Engineering, Computer Science, Program Management or other related field Five (5) years of experience managing/supervising technical teams/projects related to the role Must be a US citizen Ability to obtain and maintain a Secret clearance Preferred Qualifications: PMP Certification SOF (Special Operations Forces) experience Experience managing FFP contracts Ability to build trust and confidence with customers, engineers, technicians, program management, and product line management to achieve program and business objectives Demonstrate leadership by example, building trust and inspiring people through a shared vision where people feel valued, empowered, and fulfilled Ability to independently lead and support technical meetings with customers, teammates, program management and leadership Experience in systems engineering and/or software engineering Experience executing projects with Agile methodology Experience with DoW related contracts Experience with proposal effort coordination, including estimating, bidding, narrative writing, risk identification, and technical leadership Ability to grasp complex issues, independently formulate analysis and proposed solutions, lead people, manage complex activities, manage risks and opportunities, brief issues and represent the company well to the customer Background Screening/Check/Investigation: Successful completion of a background screening/check/investigation will/may be required as a condition of hire. About Sherpa 6 : At Sherpa 6 we love to solve problems and provide the best solutions for our customers. Our approach to a problem is to find a user-focused and design-driven solution that is simple yet functional and effective. We are a group of enthusiastic forward-thinkers who are excited to build amazing solutions with bleeding-edge technology. We hire people who are forward thinkers, passionate about what they do, love to collaborate and want to constantly learn. We enjoy what we do and we're not afraid to put the extra effort in to accomplish the mission; call us Sherpas. As a Service-Disabled Veteran Owned Small Business, we know what it means to serve. We have made it our mission to be the leaders in solutions that protect and give our Warfighters the edge they need when put into harm's way. Background Screening/Check/Investigation : Successful completion of a background screening/check/investigation will/may be required as a condition of hire. ADA : Sherpa 6 will make reasonable accommodations in compliance with the Americans with Disabilities Act 1990. EEO/AA : Sherpa 6 does not discriminate based on race, color, national origin, sex, religion age, disability, sexual orientation, gender identity, veteran status, height, weight, or marital status in employment or the provision of services and is an equal access/opportunity/affirmative action employer. Benefits : We offer a competitive benefits package, covering the cost of medical for you and your family; we also offer dental, vision, health and wellness benefits and a generous retirement savings plan. We believe that our employees can manage their workload and their personal life, therefore we extend a generous PTO policy. This allows our employees to balance their lives as they see fit. Salary Range The proposed salary range is reflective across all Sherpa 6 locations, years of experience, and skill levels. Salary negotiations will be based on a host of factors including but not limited to your geographic location, prior experience, relevant skills, education, and certifications.

The Software and Electronics Engineering Group collaborates with every research area at the Laboratory to create systems that accomplish their objectives in real-world scenarios and in unpredictable surroundings. Our engineers develop complex software and electronics systems, from concept to realization, for a variety of prototypes. We utilize the applied research approach to work on capabilities such as pointing and stabilization techniques to enable efficient space-based laser communication, and to build prototypes such as a ground-based sensor to detect biological threats in real time. Our engineers are developing airborne visual navigation; flight controls; and on-orbit pointing, acquisition, and tracking systems. We have expertise in space-qualified electronics, precision controls, firmware, embedded software, and application software. Position Description Group 76, Software and Electronics Engineering, is seeking Summer Interns to join our team. Under the guidance of MIT Lincoln Laboratory technical staff, Summer Interns will contribute to the design, development, and testing of software and/or electronics systems supporting a range of applications, which may include embedded or application software, firmware, precision controls, or PCB design, depending on project assignment. Interns will work alongside experienced engineers across the full development lifecycle, from concept and analysis through prototyping, integration, and validation. A successful candidate will be comfortable working in a fast-paced, collaborative engineering environment. The candidate will be detail-oriented, organized, and capable of managing tasks independently as well as part of a team, while demonstrating strong initiative and problem-solving skills. Must be able to communicate clearly with teammates, administrators, and outside collaborators. In addition to specific technical tasks, an employment experience at Lincoln Laboratory offers: The opportunity to generate real-world impact to national security and broader society through your work on challenging technology problems Exposure to a broad and deep range of technologies, expertise, and senior government stakeholders A strong culture of team success through individual growth. This includes technical and professional development courses, and mentorship opportunities to continue your career journey A diverse workplace with an emphasis on work-life balance, employee resource groups, and other exciting opportunities Summer Research Program Overview The Summer Research Program offers students the chance to apply their academic knowledge to real-world national security challenges while working alongside leading scientists and engineers. As an SRP intern, you'll engage in hands-on research, receive dedicated mentorship, and take part in professional development opportunities including workshops, tech talks, and networking events-all while building connections within a vibrant community of peers. Internships are typically 10-12 weeks, with flexible start and end dates, typically May through early August. Housing support is available for eligible non-local interns, including access to discounted university housing in Boston and a one-time taxable relocation payment. Complimentary daily shuttle transportation is provided from Boston-based housing to and from the Lab. Learn more about the Summer Research Program at: Compensation Hourly pay rates are based on the highest academic year or degree completed before the internship start date. Freshman year completed: $25.00/hour Sophomore year completed: $27.00/hour Junior year completed: $29.00/hour 4th year of 5 year program completed, no degree conferred: $32.00/hour Bachelors completed: $34.50/hour Bachelors + 1, one year of graduate study completed: $36.50/hour Bachelors + 2, two years of graduate study completed: $38.00/hour MS completed: $39.00/hour MS + 1, one year of graduate study completed after the MS: $41.00/hour MS + 2, two years of graduate study completed after the MS: $42.50/hour MS + 3, three years of graduate study completed after the MS: $43.50/hour Requirements Must be a U.S. citizen, able to qualify for and maintain a Secret level DoW security clearance Pursuing an undergraduate or graduate degree in Computer Science, Computer Engineering, Electrical Engineering, Mechatronics, or a related field Self-driven and self-disciplined, with a strong work ethic Demonstrated proficiency in oral, written, and graphical communication skills Comfortable and productive in a highly computerized work environment Demonstrated ability to interact with others respectfully and develop productive working relationships Able to work constructively alone or in larger teams to meet the needs of the project Desired (any of the following) Software Experience with Python, C, or C++ Familiarity with Linux and/or real-time operating systems (RTOS) Exposure to DevSecOps practices and tools Firmware Experience with FPGA development using VHDL or Verilog Electronics Experience with PCB design and layout Familiarity with analog, RF, digital, mixed-signal, or power electronics Familiarity with circuit simulation tools such as PSpice Controls Coursework or hands-on experience with system dynamics Familiarity with sensors and actuators Experience with signal processing Exposure to state estimation techniques Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance. MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required. Requisition ID: 43330

P-1124 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services Attract top talent from across the industry. Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven Represent Databricks at academic and industry conferences & events What we look for: 9+ years of experience in Data Security or related areas and expertise in two or more of the following Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus. 15+ years of experience building large scale distributed systems with high availability Leadership skills and experience to lead across functional and organizational lines Strong communication skills to explain and evangelize Data Security to senior leaders across the company Bias to action and passion for delivering high-quality solutions MS or Ph.D. in Computer Science or related fields Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $228,400-$303,550 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

P-1124 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services Attract top talent from across the industry. Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven Represent Databricks at academic and industry conferences & events What we look for: 9+ years of experience in Data Security or related areas and expertise in two or more of the following Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus. 15+ years of experience building large scale distributed systems with high availability Leadership skills and experience to lead across functional and organizational lines Strong communication skills to explain and evangelize Data Security to senior leaders across the company Bias to action and passion for delivering high-quality solutions MS or Ph.D. in Computer Science or related fields Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $217,200-$288,400 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

P-57 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping work on top priorities for the company. The Data team also functions as an in-house, production "customer" that dog foods Databricks and drives the future direction of the products. The impact you will have: " Analysis at the speed of thought ": Inform decision making by building robust data science tooling for business leaders, analysts, and other data scientists. " Extend capabilities of Databricks ": Work closely with Data Platform and Product Engineering teams to integrate data science tooling with existing Data team offerings and the core product " Strategic business insights ": Lead insight generation for top company priorities, and key Engineering initiatives (reliability, and efficiency). Gather changing requirements, define project OKRs and milestones, and communicate progress and results to both technical and non-technical audiences. Mentor and guide junior data scientists on the team by helping with project planning, technical decisions, and code and document review. Represent the data science discipline throughout the organization, having a powerful voice to make us more data-driven. Represent Databricks at academic and industrial conferences & events. What we look for: 7+ years of data science, machine learning, advanced analytics experience in high velocity, high-growth companies Extensive experience in applying Data Science / ML in production to build data-driven products for solving business problems. Experience collaborating with and understanding the needs of Senior level stakeholders from a variety of functions including: Engineering, Product, and Technical Operations. Ability to deal with ambiguity in fast paced environments by clarifying requirements and having a keen sense of 0 to 1 solutions. Adept at operating both as an individual contributor and identifying how to orchestrate the build through peers and investments in scalable tooling. Strong coding skills in Python and SQL Experience with distributed data processing systems like Spark and familiarity with software engineering principles around testing, code reviews and deployment. M.S. or Ph.D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering) Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $192,000-$260,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

P-1478 The Agentic Applications team at Databricks is on an ambitious journey to transform how we run the business. Our mission is to build resilient, in-house platforms and AI-powered capabilities that provide a genuine competitive advantage, powering our next doubling in size and revenue. As a Senior Staff Software Engineer on the Agentic Applications team, you will play a critical role delivering end-to-end applications that power our business and empower our employees with truly assistive technologies. You will be responsible for defining the technical roadmap, designing critical software systems, raising the bar on engineering excellence, mentoring junior engineers, and tackling the most challenging technical issues facing the team. You will be the technical leader for a team of software engineers. The impact you'll have : Define the technical strategy and roadmap for building in-house solutions for critical internal workflows Partner closely with product management, design, and other engineering teams to build end-to-end, AI-powered solutions Eliminate technical risk by solving the most technically challenging issues or tackling the most complex development tasks facing the team Drive team best practices for engineering excellence, including design quality, operational reviews, testing strategies, and incident management. What we look for: 12+ years of software engineering experience, with a strong track record of technical leadership and impact. 3+ years of engineering leadership experience, serving as the technical owner for the software systems owned by your team. Experience designing and building end-to-end, full-stack cloud-native applications Customer obsession and product engineering mindset Strong communication skills and ability to influence technical and business stakeholders History of raising the engineering quality bar, focus on execution and operational rigor Strong ability to collaborate across product, engineering, and business teams to align technical strategy with company business objectives. Passion for the data intelligence space. Why Join Us? Work on high-impact, high-visibility initiatives that directly contribute to Databricks' growth trajectory. Lead and mentor a talented team of engineers solving challenging, customer-centric problems. Drive innovation in a fast-paced, data-driven environment where your work shapes the future of the company. If you are passionate about building AI-powered solutions for running the business, we would love to hear from you! Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $192,000-$260,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

RDQ126R47 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Databricks Unity Catalog is the industry's only unified and open governance solution for data and AI, built into the Databricks Data Intelligence Platform. It enables data scientists, analysts, and engineers to securely discover, access, and collaborate on trusted data and AI assets across platforms. Unity Catalog enhances productivity through AI-powered governance, simplifying compliance while maximizing interoperability. We are seeking a Senior Staff Software Engineer to lead the technical direction and development of Unity Catalog's enterprise-grade governance capabilities. In this role, you will drive the roadmap and execution of critical features that empower organizations to govern access to their Lakehouse assets at scale. Key Responsibilities Technical Leadership : Lead the design and delivery of high-impact projects, setting standards for security, usability, performance, and scalability. Mentor senior engineers and elevate development and operational best practices across the organization. Product Ownership: Take full ownership of the Unity Catalog Governance product, driving it from initial concept to robust, scalable solutions with measurable business impact. Cross-Functional Influence: Collaborate with product and infrastructure teams to align technical strategy and execution, ensuring seamless integration and adoption of governance features. Operational Excellence: Champion the development of high-quality, reliable, and easy-to-operate software. Drive operational processes that deliver a seamless customer experience that is indistinguishable from perfect. What We Look For 15+ years of industry experience building and operating large-scale distributed systems. Proven track record of driving initiatives focused on customer satisfaction and incremental delivery. Deep computer science expertise (algorithms, data structures) with real-world application. Strong leadership, communication, and cross-functional collaboration skills. BS in Computer Science or related fields (MS/PhD preferred) (Preferred) Experience in data governance, security, privacy, identity management, authentication, or access control. Why Join Us? Influence the direction of industry-leading data and AI governance solutions. Work with world-class engineers and thought leaders in a collaborative, high-impact environment. Competitive compensation, comprehensive benefits, and opportunities for professional growth. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $217,000-$312,200 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

RDQ326R95 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Search plays a foundational role in this mission. Whether through keyword-based retrieval, semantic similarity via vector embeddings, or hybrid approaches that combine both, our Search technologies help customers find, discover, and understand information across massive, complex datasets. These capabilities power everything from Retrieval Augmented Generation (RAG), AI assistants, and recommendation systems to enterprise knowledge management, in-product search, and data exploration. As a Staff Software Engineer for Search Quality, you will drive the technical direction of ranking, relevance, evaluation, and quality initiatives across Databricks' next-generation Search product. You'll design and build the systems, models, and evaluation frameworks that ensure our Search stack delivers accurate, high-quality results across diverse multimodal datasets and query patterns. You'll work across research, product, and infra to push the frontier of retrieval quality for enterprise AI applications - blending traditional information retrieval techniques, representation learning, and neural ranking. Beyond hands-on contributions, you will help define our long-term vision for relevance and quality, mentor senior engineers, and lead strategic efforts that raise the accuracy, reliability, and product impact of Search across Databricks. The impact you will have: Lead the technical vision for Search Quality, shaping the ranking architecture, relevance modeling stack, and evaluation systems that power Databricks' next-generation retrieval experiences. Identify and solve challenges in ranking, query understanding, and hybrid retrieval - advancing state-of-the-art techniques in vector, keyword, and multimodal search. Design and train production-ready ranking and reranking models with strong guarantees around quality, latency, and resource efficiency. Partner closely with research, product, and infra teams to define metrics, evaluation methodologies, and experimentation strategies for new retrieval features and model architectures. Drive end-to-end engineering efforts - from early prototyping to production rollout - ensuring correctness, reliability, and measurable improvements to relevance. Build and operate resilient, low-latency services for ranking, evaluation, and relevance signal processing. Champion excellence in ML and search engineering, mentoring teammates and elevating design, code quality, and scientific rigor across the team. Shape Databricks' long term roadmap for retrieval quality, ranking infrastructure, and the foundations for retrieval-driven AI products. What we look for: 10+ years of experience building large-scale search, ranking, recommendation, or ML-driven relevance systems. Deep expertise in Search Quality, including ranking models, signals, query understanding, and evaluation methodologies. Strong understanding of relevance metrics and evaluation frameworks. Familiarity with vector search, keyword search, hybrid retrieval, and embedding-based semantic retrieval. Solid foundation in algorithms, data structures, and system design for performance-critical ranking and retrieval systems. Proven ability to deliver high-impact technical initiatives with clear business or product outcomes. Strong communication skills and ability to collaborate across teams in fast-moving environments. Strategic and product-oriented mindset with the ability to align technical execution with long-term vision. Passion for mentoring, growing engineers, and fostering technical excellence. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $165,300-$219,675 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

P-1126 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services Attract top talent from across the industry. Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven Represent Databricks at academic and industry conferences & events What we look for: 9+ years of experience in Data Security or related areas and expertise in two or more of the following Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus. 15+ years of experience building large scale distributed systems with high availability Leadership skills and experience to lead across functional and organizational lines Strong communication skills to explain and evangelize Data Security to senior leaders across the company Bias to action and passion for delivering high-quality solutions MS or Ph.D. in Computer Science or related fields Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $232,000-$313,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Job Description Job Description Lead / Principal Process ML Engineer Job Title: Lead / Principal Process ML Engineer Job Type: Full-time Location: San Diego, CA Summary We are building AI platforms that run on real factory floors, predicting, optimizing, and controlling manufacturing processes in real time. This role is needed to expand our process optimization capability - we need a technical leader who can own the full lifecycle of ML-driven process optimization products, from causal modeling to productization and customer deployment. Currently there is no dedicated technical lead for this product area, and growing customer demand requires a senior leader to set the technical vision and drive execution. Roles and Responsibilities Own the technical direction for key projects - set vision, define what to build, manage priorities, and be accountable for delivery Lead development of ML-driven process optimization products - from causal modeling to productization and customer deployment Make architecture decisions: select modeling approaches, define system boundaries, and evaluate trade-offs between physical fidelity, inference speed, and product constraints Define modeling strategy - decide which physics to encode, which architectures to use, and how to validate against real process data Drive architecture reviews and technical decision-making across the process optimization team Hire, mentor, and grow engineers - build a high-performing team through hiring, code reviews, and technical coaching Coordinate across HQ (Seoul) and overseas R&D labs - aligning research with product roadmaps across time zones Own production-grade delivery - models must run reliably inside equipment operating 24/7 on customer lines Requirements Doctorate (Ph.D.) Mechanical Engineering, Physics, Computer Science, Electrical Engineering, or a related field 8+ years of industry experience post-Ph.D. Proven track record of shipping process optimization or control products from problem definition through customer-facing deployment Experience leading a technical team - setting direction, managing delivery, and making architecture decisions Strong physics foundation (fluid dynamics, thermodynamics, heat transfer, mechanics) Strong ML skills (PyTorch, custom architectures, PINNs, neural operators, surrogate models) Ability to bridge physics and product - translate process understanding into model design and product features Comfort with ambiguity: able to define the problem and the approach, not just execute a spec Experience shipping ML-driven process optimization or control products in an industry setting Experience leading or managing a technical team (ML or applied science) Experience with production software systems - ML integration, data pipelines, deployment infrastructure Preferred Requirements Prior role as Tech Lead, Staff Engineer, or Team Lead in an ML or applied science team Experience productizing process optimization as a commercial product deployed on customer sites Hands-on manufacturing process experience - semiconductor, SMT, electronics assembly, or precision manufacturing Experience coordinating technical direction across distributed teams (HQ + overseas R&D) Published work in scientific machine learning, computational physics, or neural operators Experience with SPC, Cpk analysis, or 3D inspection/metrology systems Benefits • Health/Dental/Vision/Life Insurance at no employee premium (including dependent coverage) • 401K retirement plan with 5% matching • Generous PTO and paid holidays

Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI builds intelligent systems that protect service members and civilians. Our products include Hivemind autonomy software and V-BAT and X-BAT aircraft, and our teams support customers and operations across the United States, Europe, the Middle East, and Asia-Pacific. The Forward Deployed Engineer, Operations & Sustainment is a highly technical, customer-facing role focused on deploying, supporting, and sustaining Hivemind products in real operating environments. This role bridges field deployment, customer operations, technical troubleshooting, training, and sustainment. This is a travel-intensive role. Candidates must be willing and able to travel at least 50% of the time, including frequent domestic and international trips, customer-site work, test events, training events, and multi-week deployments as program needs require. In this role, you will work directly with customers and internal teams to install, configure, validate, train, troubleshoot, and support Hivemind products. The role requires strong technical judgment, clear customer communication, comfort operating under field pressure, and the discipline to turn field lessons into durable support artifacts: runbooks, supported baselines, evidence packages, known-issue records, escalation paths, customer-safe updates, and product feedback. What you'll do: Deploy with customers on site globally, with a minimum expectation of 50% travel, to support installation, configuration, validation, training, troubleshooting, and sustainment of Hivemind products. Become an expert user of the Hivemind Enterprise software stack, autonomy modules, deployment tooling, supported configurations, and diagnostic workflows. Execute and improve deployment runbooks covering software install, version/configuration validation, licensing or provisioning status, pre-mission checks, log readiness, and acceptance steps. Provide hands-on technical support to customer operators, maintainers, partners, and internal field teams during deployment, test, training, demonstration, and sustainment windows. Capture and organize field evidence for triage, including logs, telemetry, recorded data, screenshots, version/configuration state, asset context, operator notes, mission phase, and environmental constraints. Drive issues through the support flow: intake, severity assessment, ownership, workaround or fix delivery, customer-safe status, closure, and learning loop. Convert recurring field issues, workarounds, customer questions, and training gaps into support tickets, knowledge-base content, known-issue records, runbooks, and product feedback. Partner with engineering, product, program, sustainment, licensing, safety, legal, commercial, and support teams to route issues to the right owner for seamless customer support.Support root-cause investigation and corrective-action validation by reproducing issues, collecting field context, testing updates, and confirming fixes or workarounds. Support Field Service Representative-style obligations when required by contract, including on-site support posture, issue intake, operator assistance, troubleshooting, documentation, escalation, and evidence capture. Projects you might work on: Deploying Hivemind software and autonomy capabilities during customer integration events, exercises, test campaigns, demonstrations, or operational support windows. Building deployment-to-sustainment handoff packages with supported baselines, configuration checklists, evidence checklists, known issues, escalation contacts, and training material. Standing up a repeatable support flow so field issues move from informal chats and ad hoc engineering asks into a durable support hub, severity model, owner route, and closure loop. Troubleshooting field behavior across software, autonomy, networking, telemetry, configuration, sensors, operator workflows, and customer environment constraints. Creating customer-safe documentation that helps operators and maintainers self-serve routine issues while preserving the right escalation path for mission-critical problems. Required qualifications: Bachelor's degree in Engineering, Computer Science, Robotics, Aerospace, or a related technical field, or equivalent practical experience. 5+ years of experience in field engineering, forward-deployed engineering, applications engineering, systems integration, flight test, robotics support, unmanned systems operations, technical operations, customer deployment, or a similar hands-on technical role. Strong technical background in software engineering, systems integration, or autonomy-adjacent systems. Proficiency writing, reading, and debugging modern C++ code. Working proficiency with Python, Bash, or similar scripting for diagnostics, automation, data handling, and field support workflows. Strong troubleshooting skills across Linux or embedded systems, networking, configuration management, logs, telemetry, release packages, sensors or payloads, and operator workflows. Excellent problem-solving, communication, training, expectation-management, and escalation skills in customer-facing environments. Ability to write clear field notes, deployment records, troubleshooting guides, evidence packages, and support updates that engineering and support teams can act on. Willingness and ability to travel at least 50% of the time, including frequent domestic and international travel and multi-week deployments. Ability to operate professionally in lab, flight-test, range, customer-site, and field environments under time pressure. Ability to comply with export-control, security, safety, sensitive-data, customer-site, and mission-specific operating requirements. Preferred qualifications: Experience with autonomy, robotics, defense aviation, unmanned aircraft, deployed defense systems, flight test, payload integration, sensors, operator systems, or edge compute environments. Experience supporting defense, government, allied, or international customers in operational, test, training, or overseas environments. Experience building or scaling a support, field-service, customer-success, sustainment, or applications-engineering function during an early product rollout. Experience with enterprise software deployment, customer support, licensing, provisioning, release management, configuration baselines, or offline/air-gapped operating environments. Hands-on experience with recorded-data analysis, diagnostic tooling, telemetry review, networking tools, system health checks, or support automation. FAA Part 107, military aviation or maintenance background, UAS operator experience, flight-test experience, systems engineering experience, or prior Field Service Representative experience. Experience using GenAI tools to accelerate troubleshooting, documentation, knowledge capture, data review, or support workflow automation. Active or prior security clearance, or eligibility to obtain one when required by program or customer need. Senior Engineer: $152000-$228,000 Staff Engineer: $181,000-$272,000 Senior Staff Engineer: $212,000-$318,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Kohler is seeking a Sr Staff Embedded Systems Engineer to lead architecture, design, and integration of advanced embedded solutions for our Manufacturing Engineering & Design organization. In this senior technical role, you'll own complex firmware and hardware-software interfaces across kitchen, bath, and power products, ensuring performance, reliability, and scalability for global manufacturing. You will guide system architecture decisions, mentor engineers, drive best practices in embedded design, and collaborate closely with cross-functional teams to deliver sustainable, innovative products that reflect Kohler's craftsmanship, design excellence, and gracious living values in a hybrid work environment. Responsibilities Lead architecture, design, and implementation of embedded systems for Kohler manufactured products in collaboration with cross functional teams. Develop, review, and optimize firmware and low level software for reliability, performance, and manufacturability. Drive hardware-software integration, conduct design reviews, and guide debugging and validation activities. Mentor engineers, establish best practices, and champion design standards, documentation, and code quality. Partner with manufacturing, quality, and product management to ensure scalable, sustainable, and innovative solutions. Support compliance, test, and release processes to meet safety, regulatory, and customer requirements. Required Skills Embedded C/C++ programming RTOS development and integration Microcontroller/microprocessor architecture (ARM, etc.) Embedded Linux or similar platforms Digital and analog electronics fundamentals Communication protocols (SPI, I2 C, UART, CAN, Ethernet) Software architecture and design patterns for embedded systems Hardware-software integration and debugging with lab tools Version control (Git) and CI/CD for embedded software Requirements management and documentation Design for reliability, safety, and manufacturability

Job Family: Technology Consulting Travel Required: None Clearance Required: Active Top Secret (TS) Guidehouse is seeking an experienced Senior Network Engineer to design, install, configure, and document a standalone Cisco-based network in a dedicated lab environment. The ideal candidate brings hands-on experience deploying complex enterprise network solutions, deep familiarity with Cisco technologies, and strong operational discipline in building secure, reliable, and fully documented networks. The Senior Network Engineer will be responsible for: Designing, installing, and configuring a standalone Cisco network tailored for a lab environment. Deploying and configuring: Cisco ACI fabric, Cisco SDA (Software-Defined Access) networks, Cisco wireless access points, Firewall uplinks and associated security zones. Implementing best practices for segmentation, access control, and network performance. Standing up and configuring foundational enterprise services, including DNS, DHCP, Active Directory Producing detailed system documentation including network diagrams, configuration baselines, operational procedures, and test results. Ensuring all configurations adhere to Guidehouse quality standards and any client-specific requirements. Conducting functional and performance testing. Ensuring successful integration between network components. Troubleshooting and resolving complex issues across multiple layers. Working closely with internal stakeholders, project leads, and technical teams. Providing status updates, risk identification, and recommendations throughout the build. What You Will Do: Interface directly with clients to define IT project requirements. Implement project documentation governance aligned with company and client requirements. Track progress of project against goals, objectives, approved budgets, approved timelines. Implement change management routines to assess change requests, make recommendations, secure client approvals, and issue change orders. Assesses change requests to determine impacts to scope, budget, schedule, quality, and risk. Demonstrate ability to identify complex project risks, lead constructability reviews, develop risk mitigation and contingency plans, and implement action plans to reduce or eliminate project risks. Make decisions with in-depth understanding and interpretation of procedures, organizational policies, and business practices to achieve general results. Responsible for setting department deadlines. Draw upon the analysis of others and makes recommendations that have a direct impact on the company. Other duties as assigned. What You Will Need: Bachelor's degree (Relevant experience may be substituted for formal education or advanced degree. US Citizenship is required. FIVE (5) + years of related experience and/or training. An ACTIVE TOP SECRET federal security clearance. Ability to comprehend, analyze, and interpret the most complex business/IT documents. Ability to write reports, manuals, speeches, and articles using distinctive style. What Would Be Nice To Have: CCNA, CCNP or CCIE highly preferred. Advanced skills with Microsoft Office Suite. Ability to read and understand architectural drawings and network diagrams Ability to solve advanced problems and deal with a variety of options in complex situations. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. 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