175 jobs found

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Are you experienced in building and managing Windows systems, with a passion for maintaining highly-available IT infrastructure and services at a massive scale? The Controls Fleet team is responsible for supporting some of Amazon's most critical infrastructure services. As part of Amazon Web Services, we power the infrastructure behind the world's premier e-commerce and cloud computing environments. To meet the growing demand for AWS services worldwide, we seek exceptionally motivated individuals driven by learning and innovation. We are looking for a passionate and motivated Windows Engineer to join our team of Systems Engineers. By joining us, you'll become part of a world-class team in a dynamic environment with the entrepreneurial spirit of a start-up. This is an opportunity to operate and engineer systems on a massive scale, gaining world-class experience in managing and supporting critical infrastructure. You'll work alongside passionate individuals dedicated to deploying and supporting essential IT infrastructure that powers AWS. The ideal candidate will be innovative, possess excellent problem-solving and analytical skills, and thrive in a fast-paced environment. They should have a keen attention to detail and the ability to solve problems at their root. The Controls Fleet Operations team services customers globally, requiring the ability to manage multiple tasks and adapt to different challenges. In addition, the ideal candidate should have an expert understanding of Windows tools such as Active Directory, Group Policy, DNS, Hyper-V, Windows Failover Clustering, and Microsoft Endpoint Configuration Manager (ECM) or AWS Systems Manager. Proficiency in PowerShell, or a similar scripting language, and windows automation are essential. This role demands a solid foundation in networking principles and hands-on experience with hardware troubleshooting and system building. If you are passionate about technology, excited by the prospect of working in a dynamic, fast-paced environment, and driven to solve complex problems, we would love to hear from you. Key job responsibilities • Large-Scale Windows Server Environments: Design, build, and support extensive Windows server environments. • Enterprise Tooling: Implement and manage enterprise-scale tooling, such as Microsoft Endpoint Configuration Manager (ECM) or AWS Systems Manager, for a large Windows fleet. • Automation and Scripting: Develop and implement best practices for automating tasks and scripting in large server environments. Proficiency in PowerShell is essential. • Innovation and Problem Solving: Utilize creativity and analytical skills to solve complex problems and implement innovative solutions. • Adaptability: Quickly adjust to changing priorities and manage multiple tasks efficiently. • Hardware Troubleshooting: Diagnose and resolve hardware issues, with hands-on experience in system building. • Networking and Windows Administration: Strong understanding of networking principles and expert-level Windows administration. • Global Deployment: Create scripts and automation tasks applicable to a global server fleet. • On call: Participate in a 24x7 on call rotation that supports global customers • Ability to travel domestically and internationally up to 10% of the time About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS - Bachelor's degree in Systems Engineering, Computer Science, or related field or relevant work experience - Experience working with Linux - Knowledge of TCP/IP and networking protocols such as HTTP and DNS - 5+ years of building scripts, tooling, and automation for large-scale computing environments experience - Experience troubleshooting and debugging technical systems, or experience in technical support and experience with virtualization (Hypervisors, VMware, Xen) - 5+ years of experience deploying, managing, and supporting large-scale Windows Server environments (500+ servers), including OS lifecycle management, patch compliance, and fleet-wide standardization across geographically distributed data center infrastructure. PREFERRED QUALIFICATIONS - Experience designing and developing scripts to automate operational burdens and reviewing scripting changes to ensure they meet the standards for maintainability, scalability and security - Experience working in 24/7 production environment - Experience using AWS services - 5+ years experience with virtualization (Hypervisors, VMware, or Xen) and supporting the underlying hardware components - Demonstrated experience managing and maintaining a large-scale Windows Server fleet across geographically distributed environments, leveraging enterprise-level configuration management and automation tooling such as Enterprise Configuration Management (ECM), AWS Systems Manager, or equivalent platforms to drive patching compliance, system standardization, and operational efficiency at scale. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave . click apply for full job details

Description: Company Overview At Opus IVS, our mission is to drive advancement in the automotive industry by assisting customers with complex vehicle repairs. Guided by our core values of Customer Focus, Innovation, Collaboration & Teamwork, and a Results-Driven approach, we continually strive to develop advanced technology that empowers us to fulfill our mission. Opus IVS technology & products has been a leader in the industry since the late 90's. Opus IVS offers modern collision shops an integrated platform of leading diagnostics and calibration solutions, anchored by expert technicians and cutting edge, patented technology. Position Summary The Senior Hardware Engineer will help develop state of the art vehicle diagnostic equipment and communication devices. This individual will work directly with Opus IVS's various technology departments to develop world-class diagnostic tools that meet and exceed our customers' needs. Responsibilities: Develop new embedded automotive diagnostic pass-thru products (PC boards and firmware). Build diagnostic systems including PC hardware, vehicle communication hardware, and battery management hardware. Develop new products/devices, features, and improve quality for new and existing hardware, firmware, and software. Improve code quality through writing unit tests, automation and performing code reviews. Design and develop product and protocol validation tests. Build product tools using C, C++, & C#. Test new designs and find solutions to issues. Create test systems for the new products. Implement new vehicle protocols and create test suites to confirm their operation. Interface with customers to collect information on the performance of our products. Other duties as assigned. Skills & Abilities : Customer Focus: Ability to understand and respond to the needs of customers with professionalism and care. Innovation: Ability to generate and apply creative ideas that improve work processes or add value. Collaboration & Teamwork: Ability to build cooperative relationships and contribute to group success. Results Driven: Ability to maintain a strong focus on achieving goals and delivering impactful results. Technical Aptitude: Ability to understand and use specific tools, systems, or technologies relevant to the role. Detail Oriented: Ability to focus on details, ensuring accuracy and precision in work tasks. Analytical Thinking: Ability to examine data and issues logically to draw insightful conclusions. Requirements: Qualifications: Bachelor's Degree in Hardware Engineering or related field; or equivalent experience plus education/training 7+ years' experience in hardware design or development Experience developing products using the ARM family of processors Strong understanding of electronic design for EMC / EMI compliance Strong knowledge of hardware design and components including MPUs, UART, CAN, LIN, A/D, D/A converters, RAM/Flash memories, and other digital electronics Experience with designing processors, power supplies, communication, analog, and digital electronic circuits Strong knowledge and experience of C, C++, and C# programming languages Ability to debug electronic circuits Ability to solder surface mount components onto a PC board Has knowledge about OBD (On Board Diagnostics) Experience with batteries and battery maintenance circuits Familiar with the SAE J2534 specification Some experience with USB, Bluetooth, and Wi-Fi connections Knowledgeable of Automotive diagnostic protocols Familiarity with Jira and Confluence WHAT WE OFFER: Competitive Pay: We know your value and we're not afraid to pay for it. We offer a competitive total compensation plan including salary, bonuses, tuition reimbursement, and a match contribution to your 401k. Time Off: Besides our competitive paid time off package, employees receive paid holidays and floating holidays. Benefits: We offer a comprehensive benefits package, including all the necessities such as medical, dental, and vision. Opportunity: to be a part of a fast-growing company working to make the world safer! We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other characteristic protected by state, federal, or local law. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of the job, the employee is regularly required to use hands to finger, handle, or feel objects, tools or controls; reach with hands and arms; talk or hear. The employee frequently is required to stand, walk and sit. The employee is occasionally required to stoop, kneel, crouch or crawl. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception and the ability to adjust focus. The above information has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. Compensation details: 00 Yearly Salary PI1a60726f76cb-0987

Gravitee is a 2025 Gartner Magic Quadrant Leader , on a mission to govern the world's intelligence . We deliver the industry's most advanced platform for Any API, Any Event, and Any AI Agent , trusted by global leaders like Michelin, Roche, and Blue Yonder. Why join us? The Mission : We are the first to bridge traditional API Management with the new frontier of AI Agent Security The Momentum : A high-growth Leader - combining market credibility with startup speed The DNA : We hire people who Hold Nothing Back - passionate builders who want to redefine digital infrastructure Don't just watch the AI revolution. Build the infrastructure that controls and secures it. The Role We are looking for a Senior Software Engineer to build and maintain the identity and authorization features of Gravitee Access Management (AM) - across the AM runtime and the access-management experience in Gamma, Gravitee's next generation product surface. This is a new role. Today, AM engineering is based entirely in Europe. This hire establishes US-hours ownership of Level 3 and Level 4 authentication and authorization incidents, and adds delivery capacity toward AM parity in Gamma - part of building sustainable L3/L4 engineering capability in the US. You will split your time roughly 80% feature delivery and 20% L3/L4 support and bug fixing (it varies week to week), working as an embedded member of the AM team, which is based in Europe. What You Will Be Doing In this role, you will: Design and deliver features end to end, from discovery and technical design through implementation, testing, release, and iteration. Build and maintain identity and authorization features of Gravitee Access Management, across the AM runtime and the AM experience in Gamma. Implement and support OAuth 2.0 and OIDC flows (authorization code + PKCE, client credentials, token exchange), SAML 2.0 as both IdP and SP, SCIM, and FAPI/CIBA/UMA profiles. Work with token and session semantics - JWT, JWKS, key rotation, revocation, introspection, MFA and step-up, WebAuthn/FIDO2, and IdP federation and social login. Keep security behavior and upgrades safe: standards compliance, secure defaults, certificate and secret handling, consent, audit logs, and defenses against token replay, SSRF, and account takeover. Own safe migrations and backward compatibility across MongoDB and JDBC, and support multi-domain, multi-region deployments and login/token endpoint performance. Own US-hours Level 3 and Level 4 escalations for AM customers as part of the L3 pager duty rotation. Use LLMs and AI-assisted development tools thoughtfully for prototyping, implementation, testing, debugging, and exploration, applying sound engineering judgment to validate AI-generated work. Write meaningful automated tests and contribute to reliable delivery practices. • Collaborate with product managers, designers, engineers, and technical leaders - including the AM team based in Europe - to discover effective solutions and improve them through code and design reviews. Share what you learn and help the team make practical choices as identity standards and protocols evolve. Essential Skills We are looking for evidence that you can succeed in the role, whether gained through employment, open-source work, or equivalent practical experience: 5+ years building and running production backend software, on a team that ships and supports its own product; you have personally resolved production incidents. Strong Java experience (C# accepted if the object-oriented depth is there), with Maven and a reactive stack such as Vert.x/RxJava. Deep working knowledge of identity standards: OAuth 2.0 and OIDC flows (authorization code + PKCE, client credentials, token exchange), SAML 2.0, SCIM, and FAPI/CIBA/UMA profiles. • Solid grasp of token and session semantics: JWT, JWKS, rotation, revocation, introspection, MFA/step-up, WebAuthn/FIDO2, and IdP federation. A security-first mindset: secure defaults, certificate and secret handling, audit logging, and awareness of token replay, SSRF, and account-takeover risks. Experience with safe migrations and backward compatibility across persistent data stores such as MongoDB or JDBCbacked relational databases. Git-based workflow, code review, and writing your own automated tests. Hands-on experience using LLMs or AI coding assistants as part of an engineering workflow, combined with the judgment to review and improve their output. Clear communication, collaborative problem-solving, and the ability to take an ambiguous problem through to production. Desired Skills You do not need to match every item. We would be especially interested in experience with: • Experience at an API gateway, proxy, or service-mesh vendor, or on the API platform team of a large company (e.g., Kong, Google Apigee, MuleSoft, Tyk, Solo.io, Traefik, WSO2). Kubernetes operators and CRDs; OpenAPI tooling; service mesh or Envoy experience. Docker, Kubernetes, and cloud-native application delivery. Model Context Protocol (MCP), Agent2Agent (A2A), tool calling, LLM proxies, or other emerging AI protocols and standards. Prior production experience is not required. Building or operating LLM-powered applications, RAG systems, or agentic workflows - especially their security, governance, and observability needs. Open-source software or enterprise developer platforms. Who Thrives at Gravitee Our growth is powered by people who bring passion to what they build, professionalism to how they work, and a commitment to doing things well. You will thrive here if you: • Bring energy and a constructive attitude to the team. • Adapt quickly and enjoy learning unfamiliar technologies and domains. • Take ownership, communicate clearly, and follow through with urgency. • Balance delivery speed with thoughtful engineering judgment. • Start with the customer problem and care about the quality of the experience you create. • Enjoy working in a fast-moving, collaborative, international environment. Life at Gravitee At Gravitee, we invest in humans, not just roles. You'll get: • Salary of $160,000 • Competitive medical coverage. • Pension / 401(k) program options. • Stock options - you build it, you own it. • 25 days of holiday plus in-country national holidays. • Three mental health days and a wellness allowance. • Your birthday off. • A professional development budget to support your growth. • A hybrid work culture with hubs across regions. • Quarterly team events and an annual company offsite. • A collaborative, international company culture. • Opportunities to grow your scope and career as Gravitee grows. At Gravitee, we believe diverse perspectives make better products and stronger teams. No employee or applicant will be treated less favorably on the grounds of sex, marital status, race, color, nationality, ethnic or national origin, disability, gender, sexual orientation, gender identity, age, pregnancy or maternity, marital or civil partner status, religion, or belief. By applying, you consent to Gravitee storing and processing the personal information you submit as part of the recruitment process.

Req ID: 372365 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a IT Program Manager to join our team in Arlington, Virginia (US-VA), United States (US). Job Summary: The Technical Director directs and manages technical activities related to implementation, transition, upgrades, testing, break fix, operations and maintenance. The Technical Director serves as an operational agency Point of Contact and contact for government-owned, external vendor solution elements for interoperability activities, communications, and escalations. The Technical Director performs technical engineering requirements associated with procurement, sustainment, modification, and performance of specific systems or sub-systems; provides technical guidance, data analysis, reports, assist in the coordination of all technical activities to include system analysis and facilities with Government oversight for inherently Government activities that require a decision or that might obligate the Government. The Technical Director ensures any performance degradations not specifically and directly delivered services under this call order can be supported in the operational model with the greatest efficiency and least government staff activity. The Technical Director ensures technology alignment to the strategy, roadmap, and technical architecture decisions of the government. The Technical Director has strong leadership, communication and project management skills, in-depth technical knowledge and the ability to adapt to evolving technologies. Job Duties: Supports development of long-term IT strategies, technical roadmaps, and policies aligned with agency missions. Oversees network services, server administration, cybersecurity, and cloud platforms. Ensures compliance with federal or local regulations (e.g., FISMA, FERPA, HIPAA) and implements robust security controls. Directs the modernization of legacy applications and manages the development of new, complex software solutions. Acts as a primary liaison between the IT department and other agency departments and stakeholders. Basic Qualifications: Master's degree in IT, Computer Science, Information Systems, Management, or a related field. One-and-one- half (1.5) years of additional experience can substitute for one (1) year of a typical degree program. Minimum 10 years of experience in IT management to include systems development, network administration, or technical operations. Project Management Certification (example: PMI PMP Certification). Ability to obtain/maintain a Public Trust clearance Work onsite Monday thru Thursday and Telework on Fridays Preferred Qualifications: Strong communication skills (verbal and written) with demonstrated and proven ability to manage staff, communicate with non-technical staff and officials, and drive organizational change. Familiarity with modern cloud infrastructure, particularly AWS Understanding of government IT standards, requirements, best practices, etc. Ability to manage multiple requests and deadlines concurrently in a fast paced environment. NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this role is $127,792 - $212,988. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. If the position offered in temporary, the position will not be eligible for incentive compensation. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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. The RO Performance Team is accountable for the largest metrics system deployment in the AV industry. The team manages data pipelines that monitor Waymo's AV fleet in the real world at various latencies: from minutes to hours; supporting critical business decisions for deployments in new markets and identifying emergent business critical challenges. In addition, the same pipeline technologies are deployed for the virtual world to measure key outcomes from Waymo's massive scale simulations, generating insights to support new Driver releases. Important objectives for the next couple of years include: Reliably scaling as the business scales, Waymo is in its fast expansion phase and systems have to be built to support 100x growth. Timeliness: As Waymo's deployments accelerate across the globe, time to first detection needs to consistently improve. Comprehensive coverage: Expanding into new weather conditions and new markets brings new challenges. Increasing the metric and detection offerings to meet these challenges is key to achieving our business goals. The team works closely with many other teams such as: metrics development teams including large AI deployments, System engineers and Data scientists that produce definitions and quality controls, infrastructure and UI teams that support underlying capabilities, product teams to stay sensitive to changing business needs, and site reliability engineering (SRE) teams to maintain high system uptime. You Will: Be a part of the Event Insights sub-team, Once metric events, e.g., a hard brake occurred, are minted from heavy logs processing pipelines, an event lifecycle emerges where such events may get sent to other systems for further refinement, including but not limited to: human triage, VLM inference, clustering. Key workstreams that the TLM will be accountable for include: Clustering: Work on creation of a dynamic event clustering product to produce event clusters at low latency for rapid understanding of emerging issues during new deployments of the Waymo Driver in simulation or in the real world. Storage & APIs: Events need to be stored and queried by different downstream systems. Consumption APIs include pull or push based paradigms. Labels received from human triage or VLMs update existing events. Low Latency Orchestration: Gathering further event insights requires interaction with other systems at Waymo such as for human triage or large VLM inference. Orchestrating these interactions reliably and at low latency is key for meeting Waymo's challenges. Visualization: Work closely with partner UI teams to ensure that event insights can be delivered to end consumers and provide value for understanding the Waymo Driver's performance. You have: 5+ years of full-time software engineering experience, or a quantitative PhD with 2+ years of professional software engineering experience C++ proficiency Python familiarity SQL familiarity Excited about autonomous driving, Simulation + Eval We prefer: 7+ years of industry experience or 3+ years post-doc experience in a quantitative- or quality- focused engineering role in which you had experience as a technical lead for a team in which you were performing tasks like developing hypotheses, designing and running experiments, processing data from experiments, synthesizing conclusions, and ensuring the long term stability and health of the production system. B.Sc. in Computer Science Experience working with large FAANG scale distributed systems. 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 $213,000-$263,000 USD

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. The RO Performance Team is accountable for the largest metrics system deployment in the AV industry. The team manages data pipelines that monitor Waymo's AV fleet in the real world at various latencies: from minutes to hours; supporting critical business decisions for deployments in new markets and identifying emergent business critical challenges. In addition, the same pipeline technologies are deployed for the virtual world to measure key outcomes from Waymo's massive scale simulations, generating insights to support new Driver releases. Important objectives for the next couple of years include: Reliably scaling as the business scales, Waymo is in its fast expansion phase and systems have to be built to support 100x growth. Timeliness: As Waymo's deployments accelerate across the globe, time to first detection needs to consistently improve. Comprehensive coverage: Expanding into new weather conditions and new markets brings new challenges. Increasing the metric and detection offerings to meet these challenges is key to achieving our business goals. The team works closely with many other teams such as: metrics development teams including large AI deployments, System engineers and Data scientists that produce definitions and quality controls, infrastructure and UI teams that support underlying capabilities, product teams to stay sensitive to changing business needs, and site reliability engineering (SRE) teams to maintain high system uptime. You Will: Be a part of the Event Insights sub-team, Once metric events, e.g., a hard brake occurred, are minted from heavy logs processing pipelines, an event lifecycle emerges where such events may get sent to other systems for further refinement, including but not limited to: human triage, VLM inference, clustering. Key workstreams that the TLM will be accountable for include: Clustering: Work on creation of a dynamic event clustering product to produce event clusters at low latency for rapid understanding of emerging issues during new deployments of the Waymo Driver in simulation or in the real world. Storage & APIs: Events need to be stored and queried by different downstream systems. Consumption APIs include pull or push based paradigms. Labels received from human triage or VLMs update existing events. Low Latency Orchestration: Gathering further event insights requires interaction with other systems at Waymo such as for human triage or large VLM inference. Orchestrating these interactions reliably and at low latency is key for meeting Waymo's challenges. Visualization: Work closely with partner UI teams to ensure that event insights can be delivered to end consumers and provide value for understanding the Waymo Driver's performance. You have: 5+ years of full-time software engineering experience, or a quantitative PhD with 2+ years of professional software engineering experience C++ proficiency Python familiarity SQL familiarity Excited about autonomous driving, Simulation + Eval We prefer: 7+ years of industry experience or 3+ years post-doc experience in a quantitative- or quality- focused engineering role in which you had experience as a technical lead for a team in which you were performing tasks like developing hypotheses, designing and running experiments, processing data from experiments, synthesizing conclusions, and ensuring the long term stability and health of the production system. B.Sc. in Computer Science Experience working with large FAANG scale distributed systems. 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 $213,000-$263,000 USD

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. The RO Performance Team is accountable for the largest metrics system deployment in the AV industry. The team manages data pipelines that monitor Waymo's AV fleet in the real world at various latencies: from minutes to hours; supporting critical business decisions for deployments in new markets and identifying emergent business critical challenges. In addition, the same pipeline technologies are deployed for the virtual world to measure key outcomes from Waymo's massive scale simulations, generating insights to support new Driver releases. Important objectives for the next couple of years include: Reliably scaling as the business scales, Waymo is in its fast expansion phase and systems have to be built to support 100x growth. Timeliness: As Waymo's deployments accelerate across the globe, time to first detection needs to consistently improve. Comprehensive coverage: Expanding into new weather conditions and new markets brings new challenges. Increasing the metric and detection offerings to meet these challenges is key to achieving our business goals. The team works closely with many other teams such as: metrics development teams including large AI deployments, System engineers and Data scientists that produce definitions and quality controls, infrastructure and UI teams that support underlying capabilities, product teams to stay sensitive to changing business needs, and site reliability engineering (SRE) teams to maintain high system uptime. You Will: Be a part of the Event Insights sub-team, Once metric events, e.g., a hard brake occurred, are minted from heavy logs processing pipelines, an event lifecycle emerges where such events may get sent to other systems for further refinement, including but not limited to: human triage, VLM inference, clustering. Key workstreams that the TLM will be accountable for include: Clustering: Work on creation of a dynamic event clustering product to produce event clusters at low latency for rapid understanding of emerging issues during new deployments of the Waymo Driver in simulation or in the real world. Storage & APIs: Events need to be stored and queried by different downstream systems. Consumption APIs include pull or push based paradigms. Labels received from human triage or VLMs update existing events. Low Latency Orchestration: Gathering further event insights requires interaction with other systems at Waymo such as for human triage or large VLM inference. Orchestrating these interactions reliably and at low latency is key for meeting Waymo's challenges. Visualization: Work closely with partner UI teams to ensure that event insights can be delivered to end consumers and provide value for understanding the Waymo Driver's performance. You have: 5+ years of full-time software engineering experience, or a quantitative PhD with 2+ years of professional software engineering experience C++ proficiency Python familiarity SQL familiarity Excited about autonomous driving, Simulation + Eval We prefer: 7+ years of industry experience or 3+ years post-doc experience in a quantitative- or quality- focused engineering role in which you had experience as a technical lead for a team in which you were performing tasks like developing hypotheses, designing and running experiments, processing data from experiments, synthesizing conclusions, and ensuring the long term stability and health of the production system. B.Sc. in Computer Science Experience working with large FAANG scale distributed systems. 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 $213,000-$263,000 USD

The work we do has an impact on millions of lives, and you can be a part of it. We help protect our customers against life's uncertainties. Regardless of where you work within the company, you'll be helping provide protection and peace of mind when our customers need it most. Protective Life is transforming how it builds and operates software - moving to a product operating model organized around empowered, outcome-oriented teams - and is scaling its data and AI capabilities to serve customers and run the business better. Voyager is one of these product pods, spanning our Life, Annuities, and Employee Benefits lines. The DataOps/MLOps Lead owns the platform and operating model that lets data and ML engineers ship reliably. You build the paved paths - CI/CD, orchestration, observability, environments, and governance automation - on our Databricks Lakehouse on Microsoft Azure, so that pipelines and models move from development to governed production quickly, safely, and repeatably. This is a hands-on technical leadership role: you set standards, automate the operational backbone, mentor engineers, and are accountable for the reliability, security, cost, and auditability of the pod's data and ML systems in a regulated insurance environment. KEY RESPONSIBILITIES • Own the DataOps/MLOps platform and operating model - the paved paths, automation, and tooling that data and ML engineers use to build and run pipelines and models reliably. • Lead CI/CD standards and pipelines in Azure DevOps (ADO) for data pipelines and ML models - build, test, and release automation, environment promotion, and repeatable, auditable deployments. • Standardize orchestration on Dagster - reusable assets, scheduling, backfills, dependency management, and run observability across the pod's pipelines. • Operationalize the ingestion and transformation stack - dlt (dltHub) and dbt - with automated testing, CI checks, and safe deployment of changes. • Build MLOps foundations with the ML engineering team - MLflow model registry, Databricks Model Serving, automated deployment, monitoring, drift detection, and retraining triggers. • Establish data and model observability - freshness, quality, lineage, latency, drift, and cost - with alerting and clear SLAs/SLOs. • Administer and govern the Databricks Lakehouse on Azure - workspace configuration, Unity Catalog governance, access controls, and policy automation. • Manage infrastructure as code and environments - reproducible dev/test/prod setups (e.g., Terraform), secrets management, and least-privilege access. • Own reliability and incident practices - on-call, runbooks, root-cause analysis, and continuous improvement for data and ML services. • Drive cost visibility and optimization (FinOps) across compute, storage, and model serving. • Automate governance and compliance controls - audit logging, model and pipeline inventories, approval workflows, and evidence collection for a regulated environment. • Provide technical leadership and mentoring - coach engineers on operational excellence and set the platform standards the pod builds on. QUALIFICATIONS REQUIRED QUALIFICATIONS • 8+ years in data, ML, or platform engineering, or in SRE/DevOps, including several years operating production data and/or ML systems. • Demonstrated technical leadership - setting standards, building paved paths and automation, and mentoring engineers (formal people management not required, but valued). • Strong CI/CD expertise with Azure DevOps (ADO) - build/release pipelines, environment promotion, automated testing - and Git-based workflows. • Hands-on experience with orchestration (Dagster or equivalent) and the modern data stack - dlt (dltHub) ingestion and dbt modeling - on a Databricks lakehouse (Delta Lake). • MLOps experience - MLflow model registry, model deployment/serving, monitoring, drift detection, and retraining automation. • Infrastructure-as-code and cloud platform administration on Microsoft Azure (compute, storage, identity, networking basics); Terraform or equivalent. • Strong Python and SQL for automation and tooling. • Experience with observability/monitoring tooling and SRE practices - SLAs/SLOs, alerting, and incident management. • Demonstrated rigor in security, access control, and secure, compliant handling of sensitive data. • Bachelor's degree in Computer Science, Engineering, or a related field - or equivalent practical experience. PREFERRED QUALIFICATIONS • Experience in financial services or insurance platform work, and familiarity with model risk and regulatory audit expectations. • Databricks administration - Unity Catalog, cluster policies, and Mosaic AI - and familiarity with Azure Machine Learning. • Containerization and orchestration (Docker, Kubernetes; Azure AKS or Container Apps). • Experience with data-quality / observability tooling (e.g., Great Expectations, Monte Carlo, or similar). • Experience automating responsible-AI and model-governance controls. • Relevant certification such as Databricks Certified Data Engineer/ML Engineer, Microsoft Azure DevOps Engineer, or Azure Administrator. $124,500 - $170,000 a year Protective's targeted salary range for this position is $124,500 to $170,000. Actual salaries may vary depending on factors, including but not limited to job location, skills, and experience. The range listed is just one component of Protective's total compensation package for employees. This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance. Employee Benefits: We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits ( e.g. , paid time off, paid parental leave, short-term disability, and a cultural observance day). The financial health of our employees is just as important as physical and emotional health. Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective's platform to improve wellbeing while earning cash rewards. Eligibility for certain benefits may vary by position in accordance with the terms of the Company's benefit plans. Accommodations for Applicants with a Disability: If you require an accommodation to complete the application and recruitment process due to a disability, please email . This information will be held in confidence and used only to determine an appropriate accommodation for the application and recruitment process. Please note that the above email is solely for individuals with disabilities requesting an accommodation. General employment questions should not be sent through this process. We are proud to be an equal opportunity employer committed to being inclusive and attracting, retaining, and growing an inclusive workforce.

The work we do has an impact on millions of lives, and you can be a part of it. We help protect our customers against life's uncertainties. Regardless of where you work within the company, you'll be helping provide protection and peace of mind when our customers need it most. Protective Life is transforming how it builds and operates software - moving to a product operating model organized around empowered, outcome-oriented teams - and is scaling its data and AI capabilities to serve customers and run the business better. Voyager is one of these product pods, spanning our Life, Annuities, and Employee Benefits lines. The DataOps/MLOps Lead owns the platform and operating model that lets data and ML engineers ship reliably. You build the paved paths - CI/CD, orchestration, observability, environments, and governance automation - on our Databricks Lakehouse on Microsoft Azure, so that pipelines and models move from development to governed production quickly, safely, and repeatably. This is a hands-on technical leadership role: you set standards, automate the operational backbone, mentor engineers, and are accountable for the reliability, security, cost, and auditability of the pod's data and ML systems in a regulated insurance environment. KEY RESPONSIBILITIES • Own the DataOps/MLOps platform and operating model - the paved paths, automation, and tooling that data and ML engineers use to build and run pipelines and models reliably. • Lead CI/CD standards and pipelines in Azure DevOps (ADO) for data pipelines and ML models - build, test, and release automation, environment promotion, and repeatable, auditable deployments. • Standardize orchestration on Dagster - reusable assets, scheduling, backfills, dependency management, and run observability across the pod's pipelines. • Operationalize the ingestion and transformation stack - dlt (dltHub) and dbt - with automated testing, CI checks, and safe deployment of changes. • Build MLOps foundations with the ML engineering team - MLflow model registry, Databricks Model Serving, automated deployment, monitoring, drift detection, and retraining triggers. • Establish data and model observability - freshness, quality, lineage, latency, drift, and cost - with alerting and clear SLAs/SLOs. • Administer and govern the Databricks Lakehouse on Azure - workspace configuration, Unity Catalog governance, access controls, and policy automation. • Manage infrastructure as code and environments - reproducible dev/test/prod setups (e.g., Terraform), secrets management, and least-privilege access. • Own reliability and incident practices - on-call, runbooks, root-cause analysis, and continuous improvement for data and ML services. • Drive cost visibility and optimization (FinOps) across compute, storage, and model serving. • Automate governance and compliance controls - audit logging, model and pipeline inventories, approval workflows, and evidence collection for a regulated environment. • Provide technical leadership and mentoring - coach engineers on operational excellence and set the platform standards the pod builds on. QUALIFICATIONS REQUIRED QUALIFICATIONS • 8+ years in data, ML, or platform engineering, or in SRE/DevOps, including several years operating production data and/or ML systems. • Demonstrated technical leadership - setting standards, building paved paths and automation, and mentoring engineers (formal people management not required, but valued). • Strong CI/CD expertise with Azure DevOps (ADO) - build/release pipelines, environment promotion, automated testing - and Git-based workflows. • Hands-on experience with orchestration (Dagster or equivalent) and the modern data stack - dlt (dltHub) ingestion and dbt modeling - on a Databricks lakehouse (Delta Lake). • MLOps experience - MLflow model registry, model deployment/serving, monitoring, drift detection, and retraining automation. • Infrastructure-as-code and cloud platform administration on Microsoft Azure (compute, storage, identity, networking basics); Terraform or equivalent. • Strong Python and SQL for automation and tooling. • Experience with observability/monitoring tooling and SRE practices - SLAs/SLOs, alerting, and incident management. • Demonstrated rigor in security, access control, and secure, compliant handling of sensitive data. • Bachelor's degree in Computer Science, Engineering, or a related field - or equivalent practical experience. PREFERRED QUALIFICATIONS • Experience in financial services or insurance platform work, and familiarity with model risk and regulatory audit expectations. • Databricks administration - Unity Catalog, cluster policies, and Mosaic AI - and familiarity with Azure Machine Learning. • Containerization and orchestration (Docker, Kubernetes; Azure AKS or Container Apps). • Experience with data-quality / observability tooling (e.g., Great Expectations, Monte Carlo, or similar). • Experience automating responsible-AI and model-governance controls. • Relevant certification such as Databricks Certified Data Engineer/ML Engineer, Microsoft Azure DevOps Engineer, or Azure Administrator. $124,500 - $170,000 a year Protective's targeted salary range for this position is $124,500 to $170,000. Actual salaries may vary depending on factors, including but not limited to job location, skills, and experience. The range listed is just one component of Protective's total compensation package for employees. This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance. Employee Benefits: We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits ( e.g. , paid time off, paid parental leave, short-term disability, and a cultural observance day). The financial health of our employees is just as important as physical and emotional health. Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective's platform to improve wellbeing while earning cash rewards. Eligibility for certain benefits may vary by position in accordance with the terms of the Company's benefit plans. Accommodations for Applicants with a Disability: If you require an accommodation to complete the application and recruitment process due to a disability, please email . This information will be held in confidence and used only to determine an appropriate accommodation for the application and recruitment process. Please note that the above email is solely for individuals with disabilities requesting an accommodation. General employment questions should not be sent through this process. We are proud to be an equal opportunity employer committed to being inclusive and attracting, retaining, and growing an inclusive workforce.

The work we do has an impact on millions of lives, and you can be a part of it. We help protect our customers against life's uncertainties. Regardless of where you work within the company, you'll be helping provide protection and peace of mind when our customers need it most. Protective Life is transforming how it builds and operates software - moving to a product operating model organized around empowered, outcome-oriented teams - and is scaling its data and AI capabilities to serve customers and run the business better. Voyager is one of these product pods, spanning our Life, Annuities, and Employee Benefits lines. The DataOps/MLOps Lead owns the platform and operating model that lets data and ML engineers ship reliably. You build the paved paths - CI/CD, orchestration, observability, environments, and governance automation - on our Databricks Lakehouse on Microsoft Azure, so that pipelines and models move from development to governed production quickly, safely, and repeatably. This is a hands-on technical leadership role: you set standards, automate the operational backbone, mentor engineers, and are accountable for the reliability, security, cost, and auditability of the pod's data and ML systems in a regulated insurance environment. KEY RESPONSIBILITIES • Own the DataOps/MLOps platform and operating model - the paved paths, automation, and tooling that data and ML engineers use to build and run pipelines and models reliably. • Lead CI/CD standards and pipelines in Azure DevOps (ADO) for data pipelines and ML models - build, test, and release automation, environment promotion, and repeatable, auditable deployments. • Standardize orchestration on Dagster - reusable assets, scheduling, backfills, dependency management, and run observability across the pod's pipelines. • Operationalize the ingestion and transformation stack - dlt (dltHub) and dbt - with automated testing, CI checks, and safe deployment of changes. • Build MLOps foundations with the ML engineering team - MLflow model registry, Databricks Model Serving, automated deployment, monitoring, drift detection, and retraining triggers. • Establish data and model observability - freshness, quality, lineage, latency, drift, and cost - with alerting and clear SLAs/SLOs. • Administer and govern the Databricks Lakehouse on Azure - workspace configuration, Unity Catalog governance, access controls, and policy automation. • Manage infrastructure as code and environments - reproducible dev/test/prod setups (e.g., Terraform), secrets management, and least-privilege access. • Own reliability and incident practices - on-call, runbooks, root-cause analysis, and continuous improvement for data and ML services. • Drive cost visibility and optimization (FinOps) across compute, storage, and model serving. • Automate governance and compliance controls - audit logging, model and pipeline inventories, approval workflows, and evidence collection for a regulated environment. • Provide technical leadership and mentoring - coach engineers on operational excellence and set the platform standards the pod builds on. QUALIFICATIONS REQUIRED QUALIFICATIONS • 8+ years in data, ML, or platform engineering, or in SRE/DevOps, including several years operating production data and/or ML systems. • Demonstrated technical leadership - setting standards, building paved paths and automation, and mentoring engineers (formal people management not required, but valued). • Strong CI/CD expertise with Azure DevOps (ADO) - build/release pipelines, environment promotion, automated testing - and Git-based workflows. • Hands-on experience with orchestration (Dagster or equivalent) and the modern data stack - dlt (dltHub) ingestion and dbt modeling - on a Databricks lakehouse (Delta Lake). • MLOps experience - MLflow model registry, model deployment/serving, monitoring, drift detection, and retraining automation. • Infrastructure-as-code and cloud platform administration on Microsoft Azure (compute, storage, identity, networking basics); Terraform or equivalent. • Strong Python and SQL for automation and tooling. • Experience with observability/monitoring tooling and SRE practices - SLAs/SLOs, alerting, and incident management. • Demonstrated rigor in security, access control, and secure, compliant handling of sensitive data. • Bachelor's degree in Computer Science, Engineering, or a related field - or equivalent practical experience. PREFERRED QUALIFICATIONS • Experience in financial services or insurance platform work, and familiarity with model risk and regulatory audit expectations. • Databricks administration - Unity Catalog, cluster policies, and Mosaic AI - and familiarity with Azure Machine Learning. • Containerization and orchestration (Docker, Kubernetes; Azure AKS or Container Apps). • Experience with data-quality / observability tooling (e.g., Great Expectations, Monte Carlo, or similar). • Experience automating responsible-AI and model-governance controls. • Relevant certification such as Databricks Certified Data Engineer/ML Engineer, Microsoft Azure DevOps Engineer, or Azure Administrator. $124,500 - $170,000 a year Protective's targeted salary range for this position is $124,500 to $170,000. Actual salaries may vary depending on factors, including but not limited to job location, skills, and experience. The range listed is just one component of Protective's total compensation package for employees. This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance. Employee Benefits: We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits ( e.g. , paid time off, paid parental leave, short-term disability, and a cultural observance day). The financial health of our employees is just as important as physical and emotional health. Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective's platform to improve wellbeing while earning cash rewards. Eligibility for certain benefits may vary by position in accordance with the terms of the Company's benefit plans. Accommodations for Applicants with a Disability: If you require an accommodation to complete the application and recruitment process due to a disability, please email . This information will be held in confidence and used only to determine an appropriate accommodation for the application and recruitment process. Please note that the above email is solely for individuals with disabilities requesting an accommodation. General employment questions should not be sent through this process. We are proud to be an equal opportunity employer committed to being inclusive and attracting, retaining, and growing an inclusive workforce.

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 in the Hardware organization is where software meets the physical world. You will work on critical systems that manage autonomous vehicle functions, with teams such as Sensing, Vehicle Integration, Positioning, Motion Control, Fault Management, Onboard Automation and Embedded Simulation. We are looking for strong generalist software engineers to work across a wide array of domains, including embedded, controls, sensor processing, manufacturing calibration, simulation, data analysis, and also building higher-level state machines, interfaces and flows for fault management and automation. You will have a direct & material impact on the ability of Waymo to scale to more vehicles and cities. This role follows a hybrid work schedule and you will report to a Software Engineer. You will: Develop high-quality vertically-integrated C++ software systems (on-vehicle and off-vehicle software) to manage autonomous vehicle functions. Analyze field data (logs) and simulation results. Participate in cross-functional workflows (e.g., requirement reviews, project planning). You have: Degree (BS, MS) in Computer Engineering, Computer Science, or similar or equivalent practical experience. At least 2+ years of professional experience developing production software in modern C++ (i.e., C+, C+, etc.) This role is specifically for C++ and not for C/C++. Experience in at least one of: real-time / embedded systems or complex / distributed systems. We prefer: Experience developing for and troubleshooting complex / distributed systems (e.g., vehicle gateway, backend software). In-depth understanding of microcontroller-based Embedded Systems and associated development and debugging tools. Working experience with safety critical systems / functional safety. Open source projects that demonstrate dedication to crafting high quality C++ software. 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 $170,000-$216,000 USD

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. As Waymo prepares to bring the Waymo Driver to European markets, we are seeking a Privacy Engineer to lead the technical architectural design and implementation of our global privacy systems. In this role, you will bridge the gap between legal requirements (GDPR) and technical reality. You will not just "manage" compliance; you will build the actual engines, data pipelines, and anonymization frameworks that allow our autonomous vehicles to operate in strict regulatory environments. You will work closely with Legal, Product, and AI/ML teams to ensure that Privacy by Design is baked into our sensor data ingestion, mapping technologies, and rider experience from day one. You will: Architect for EU Compliance: Design and build data handling systems that satisfy strict GDPR requirements, "Right to be Forgotten" automation, and consent management frameworks for European riders. Sensor Data Anonymization: Develop and optimize computer vision and ML pipelines to automatically detect and blur faces, license plates, and other PII from camera/Lidar data at the edge (on-vehicle) and in the cloud before it enters our training sets. Privacy Infrastructure: Write scalable code (C++/Java/Kotlin) to enforce retention policies, access controls, and data minimization across Waymo's distributed infrastructure. Partner with Waymo's Legal and Policy teams to translate complex regulatory texts (e.g., the EU Data & AI Act) into concrete engineering specifications and system requirements. Threat Modeling: Conduct privacy impact assessments (PIA) and threat modeling for new features, specifically focusing on cross-border data transfer risks and third-party vendor integration. You have: BS degree in Computer Science, or a related technical field, or equivalent practical experience. 8+ years of experience in software engineering with a focus on privacy, security, or data infrastructure. Proficiency in one or more general-purpose programming languages (e.g., Python, C++, Java). Deep understanding of GDPR. Experience working with large-scale data processing frameworks (e.g., Flume, MapReduce, etc ) and cloud infrastructure. We prefer: Prior experience helping a US-based tech company launch products in the European Economic Area (EEA) or UK. Familiarity with privacy-preserving machine learning techniques, such as Differential Privacy, Federated Learning, or Homomorphic Encryption. Experience building first-class user facing products. 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 $251,000-$310,000 USD

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function: R&D Product Development Job Sub Function: R&D Mechanical Engineering Job Category: Scientific/Technology All Job Posting Locations: Santa Clara, California, United States of America Job Description: The Robotics and Digital solutions (RAD) group, part of the Johnson & Johnson family of companies, is recruiting for a Hardware Reliability Test Engineer for the Robotics and Digital R&D Team. This position is located in Santa Clara, CA. What We Do: At Johnson & Johnson MedTech, we are building the future of robotic surgery and healthcare through innovation and technical excellence. Our goal is to develop advanced robotic platforms that are precise, reliable, and accessible. Our team focuses on creating solutions that empower surgeons and improve patient outcomes worldwide. Who We Are: Within RAD R&D we are a team of clinical, electrical, firmware, mechanical, mechatronics, robotic controls, systems and software engineers who are passionate about improving patient care. The team includes a wide range of experience levels from junior engineers to industry experts. We follow an iterative, collaborative approach to product development, working across clinical, instrument, accessories, and system teams. We prioritize autonomy, develop a culture of learning, and value diversity of thought and background. Our environment is inclusive, supportive, and driven by a shared commitment to innovation and excellence in healthcare. Core Job Responsibilities: Translate product reliability requirements and specifications into detailed test protocols and pass/fail criteria. Develop and implement mechanical, thermal, electrical, and environmental loads/stresses (e.g., vibration, shock, thermal cycling, humidity, electrical stress) required by the protocols. Plan and execute Reliability Demonstration Testing, Characterization Testing, and Ongoing Reliability Testing to validate product robustness across development and production lifecycle. Design, build, and validate custom test fixtures and test rigs to enable repeatable, controlled testing. Develop and maintain test automation and scripting for test setup, execution, data logging, and analysis (e.g., Python, LabVIEW, or equivalent). Run hands-on testing, monitor test runs, and ensure data integrity and traceability. Analyze test data, produce summary reports, and present findings to engineering and program teams. Document and report issues discovered during testing; create reproducible problem descriptions, supporting data and test artifacts. Triage issues to the appropriate project teams or Failure Analysis (FA) groups and support root-cause investigations as required. Maintain and calibrate test equipment and laboratory documentation; ensure test safety and compliance with internal standards and external regulations. Collaborate cross-functionally with design, manufacturing, quality, and FA to close reliability issues and feed lessons learned back into the product development cycle. Required Knowledge/Skills, Education, And Experience: Bachelor's degree in Mechanical Engineering, Electrical Engineering, Physics, or related technical field (or equivalent experience). 2+ years of hands-on experience in reliability or test engineering roles (design and execution of reliability tests, fixture design, or test automation). Practical experience with environmental/mechanical test equipment such as vibration tables, shock rigs, thermal chambers, and electrical stress equipment. Experience designing and building test fixtures and custom test rigs. Proficiency in scripting or programming for test automation and data capture (examples: Python, LabVIEW, or similar). Strong data analysis skills; experience with statistical analysis and data visualization (Excel, Python, MATLAB, Minitab, etc.). Clear technical writing skills for protocols, test plans, and test reports. Strong problem-solving skills and attention to detail; ability to prioritize multiple test projects. Preferred Knowledge/Skills, Education, And Experience: Master's degree in relevant engineering field Experience with reliability methods such as HALT/HASS, accelerated life testing (ALT). Familiarity with design for reliability concepts (FMEA, reliability prediction methods). Experience working in regulated industries (medical devices, aerospace, automotive) or with cross-functional FA teams. Experience with test equipment control and data acquisition hardware (DAQs, PXI, NI hardware) Working Conditions: Laboratory/shop environment with regular hands-on work on test fixtures and equipment. May require moderate lifting and use of power tools when building fixtures. Occasional travel to supplier sites, test labs, or failure analysis facilities may be required. The anticipated base pay range for this position is $106,000.00 to $170,200.00 The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k . This position is eligible to participate in the Company's long-term incentive program. Employees are eligible for the following time off benefits: Vacation - up to 120 hours per calendar year Sick time - up to 40 hours per calendar year Holiday pay, including Floating Holidays - up to 13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year For additional general information on Company benefits, please go to: Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via . internal employees contact AskGS to be directed to your accommodation resource. Required Skills: Data Analysis, Fixtures Design, Mechanical Testing, Test Automation Preferred Skills: Accelerated Life Testing, Analytical Reasoning, Auto-CAD Design, Design Thinking, FEMA, Highly Accelerated Life Test (HALT), Mechanical Engineering, Problem Solving, Process Oriented, Product Reliability, Quality Control Testing, Reliability Engineering, Reliability Predictions, Reliability Testing, Research and Development The anticipated base pay range for this position is : $106,000.00 - $170,200.00 Additional Description for Pay Transparency:

Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense. Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense. Kodiak is recruiting a Staff Software Engineer to lead design and development of mission planning, routing, and human-assisted autonomy for Kodiak driverless trucks. The role provides scope and visibility to influence the roadmap for the entire motion planning stack, including behavior, prediction, and trajectory generation. This is an opportunity to collaborate with Product, Perception, Controls, and other cross-functional teams in order to improve overall autonomy performance. Customers interact with Kodiak trucks through mission assignments, making this a key engineering position to achieve product excellence. The role spans a range of motion planning responsibilities, from graph traversal and routing, to mission planning and product development, to human-assisted autonomy and operations. In this role, you will: Lead the design and development of mission planning, routing, and human-assisted autonomy for driverless operation on public roads Develop the architecture and long-term roadmap for motion planning Identify metrics to orient engineering teams toward product excellence Study the product for opportunities to delight our customers Mentor and provide technical leadership to junior and senior engineers, raising the bar for engineering excellence across the engineering organization Integrate onboard and offboard driving logic Collaborate with human-assisted autonomy and operations specialists to facilitate safe, efficient missions Evaluate the effectiveness of the Kodiak Driver Automate and expedite truck launches and landings Partner cross-functionally with Perception, Controls, Systems, Simulation, and Product teams to define interfaces, requirements, and system behavior Solve difficult real-world problems involving route generation, mission updates, responsive driving, real-time and cloud computing, and more! What you'll bring: 6+ years of experience developing production-level robotics software Strong facility with modern C++ Expertise in motion planning, graph theory, distributed computing, and related domains Delivery of complex autonomous systems Leadership to solve ambiguous, real-world challenges Bonus points if you have: Managed or mentored robotics engineers Deployed software on autonomous vehicles Built a safety case for driverless autonomy Improved system performance (latency, throughput, reliability) in production environments Built on simulation frameworks Based decisions on data analysis What we offer: Competitive compensation package including equity and annual bonuses Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits) MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance Flexible PTO, 10 paid holidays, and generous parental leave policies Our office is centrally located in Mountain View, CA Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging Long Term Disability, Short Term Disability, Life Insurance Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation) Fidelity 401(k) Commuter, FSA, Dependent Care FSA, HSA Various incentive programs (referral bonuses, patent bonuses, etc.) The pay range listed below reflects the base salary in our SF/Silicon Valley location, across several internal levels. Actual starting pay will be based on job-related factors including: work location, experience, relevant training, education, skill level and performance during interview. Total compensation at Kodiak includes base pay, equity, bonus and a competitive benefits package California Pay Range $200,000-$250,000 USD At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law. In alignment with its business operations, Kodiak adheres to all relevant statutes, regulations, and administrative prerequisites. Accordingly, roles that carry more sensitive requirements may be limited to candidates that can satisfy additional scrutiny and eligibility for such positions may hinge on verification of a candidate's residence, U.S. person status, and/or citizenship status. Should the position require, and Kodiak determines that a candidate's residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak's sole discretion, or, as an alternative, opt not to proceed with the candidate's application. If applicable, Kodiak may provide visa sponsorship for eligible candidates. We use a third-party AI tool (Endorsed) to assist in the initial screening of applications. As part of the evaluation process, we provide Endorsed with job requirements and candidate-submitted applications. Final hiring decisions are made by our human recruitment team, and no automated system makes the ultimate decision regarding hiring. Certain features of the platform may qualify it as an Automated Employment Decision Tool (AEDT) under applicable regulations. We began using Endorsed on January 1, 2026. You can review the independent bias audit report covering our use of Endorsed here ( ). By submitting your application, you acknowledge that your application may be processed by AI systems as part of the screening and selection process. If you have any questions or would like to request a separate review of your application, please contact with "Separate Review Request" in the email subject line.

About the Role Abnormal AI is hiring a Senior Cloud Security Engineer to build and operate the security systems that protect our FedRAMP authorized environment. You will own secure delivery pipelines, infrastructure as code security, patch automation, identity controls, security telemetry, and incident response across a growing federal platform. You will design and build the capabilities that allow this environment to scale safely. Your work will include creating policy gates for cloud deployments, automating patch and access workflows, strengthening identity controls, improving security telemetry, and generating audit evidence directly from engineering systems. You will have meaningful ownership of both architecture and operational results, with the opportunity to replace repetitive work with reliable automation across the environment. You will work closely with DevInfra, FedOps, Product Security, Detection and Response, and Compliance to solve cloud security problems that cross traditional team boundaries. You will also use approved AI coding tools, such as Claude Code, to accelerate scripting, testing, documentation, and security automation. What you will do Build and improve secure delivery workflows for applications and infrastructure deployed into the federal environment. Create policy gates that evaluate infrastructure changes, security requirements, test results, and required approvals before deployment. Integrate security scanning and control validation into delivery workflows so issues are identified early in the development process. Review infrastructure as code changes that affect the federal boundary and help engineering teams resolve security risks before those changes reach production. Design automation that produces change records, approval history, test results, and required evidence directly from engineering workflows. Build and maintain hardened system image pipelines that consistently apply approved configurations, security controls, and operating system updates. Automate patch deployment across the environment, including testing, scheduling, rollout, validation, exception management, and compliance reporting. Improve fleet visibility so teams can quickly identify systems that are missing patches, running unsupported software, or operating outside approved configurations. Design and enforce identity and access controls across a complex cloud environment. Strengthen cloud security through organization policies, identity controls, resource policies, and automated configuration checks. Build preventive guardrails that block insecure or unauthorized configurations before they enter the federal environment. Own the reliability of security logging and monitoring pipelines, including ingestion coverage, data quality, source health, retention, and alerting. Develop automated checks that identify missing telemetry, delayed events, broken integrations, and other conditions that could reduce security visibility. Tune security detections to improve signal quality, reduce unnecessary alerts, and focus responders on activity that requires investigation. Build response automation that gathers context, enriches alerts, preserves evidence, and accelerates investigation and containment. Lead security incident response for the federal environment, including investigation, containment, recovery, evidence preservation, and after action reporting. Partner with infrastructure, operations, product security, incident response, and compliance teams to solve security problems that cross team boundaries. Must Haves 8+ years in cloud security engineering, DevSecOps, infrastructure security, or a closely related engineering discipline, including deep hands-on experience with AWS. Strong experience building or securing cloud deployment pipelines and infrastructure as code workflows. Proficiency in at least one scripting or programming language, preferably Python, with a record of automating recurring operational work. Working knowledge of identity and access management design and enforcement in large cloud environments. Production experience with security monitoring and incident response, including investigation, containment, recovery, and operational follow through. Nice to Have Experience integrating security automation into CI/CD pipelines and SecOps workflows. Prior experience supporting federal audits or 3PAO engagements. Knowledge of SaaS security operations and monitoring at scale. Experience driving automation in security operations, compliance tracking, and evidence management. Knowledge of SaaS security operations and modern cloud environments; exposure to DevSecOps pipelines or security reviews for Terraform/containers. Experience with FedRAMP, DoD IL4, DoD IL5, government, or another highly regulated cloud environment, including support for 3PAO assessments or federal audits. Familiarity with NIST SP 800-53 controls, continuous monitoring, security impact analysis, and technical evidence requirements. Experience building compliance automation, continuous control monitoring, or automated evidence management capabilities. Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location. In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package. Base salary range: $153,000-$220,000 USD A note on AI in our process: Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards. Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here . If you would like more information on your EEO rights under the law, please click here .