Process safety engineer jobs in San Mateo, CaliforniaCreate job alerts

Job Description Production Operator Join our growing team where you’ll play a key role in building the future of high-conductance flexible circuits and intelligent wiring systems. As a Product Development Operator, you’ll help keep production running smoothly, safely, and efficiently by operating equipment, inspecting materials, and ensuring top-quality products before they leave the floor. Shift Information We run on a rotating shift schedule, giving you more flexibility and built-in days off! A Shift: Monday-Thursday & Tuesday-Thursday alternating weeks (12 hour shifts) B Shift: Friday-Sunday & Friday-Monday alternating weeks (12 hour shifts) Essential Duties and Responsibilities To perform this job successfully, the individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. All Operators must be flexible to operate multiple processes/tools, as versatility is key to Production. Operate production equipment to meet daily targets for quality and efficiency. Set up, run, and reset machines based on work orders and customer requirements. Perform basic quality checks and report any equipment issues or material defects. Prepare and handle materials using tools like scissors, tweezers, and safety knives. Load/unload materials, track inventory, and manage in-process products (WIP). Safely operate pallet jacks and other industrial equipment (training provided). Maintain a clean and safe work environment at all times. Report safety concerns, incidents, or near misses immediately. Enter job and inventory data into our internal systems accurately. Collaborate with your team to improve processes and keep production flowing. Minimum Qualifications (Knowledge, Skills, and Abilities) Previous production operations, material handling, or technician experience within a manufacturing or warehouse comparable environment is preferred but not required. Ability to learn and adapt in a fast-paced manufacturing environment. Eagerness to expand skillset; Want to be a technician or engineer one day? This is your chance! Command of the English language, both written and verbal, is strongly preferred. Must be at least 18 years of age. Punctuality and a professional, can-do attitude are a must. Ability to find issues in a work process and receive safety signals using sight, touch, or hearing. Open to schedule flexibility that will allow for a variety of shifts as needed. Ability to change schedule on short notice as required. Personal Protective Equipment (PPE) May be required to wear PPE, including but not limited to eye protection (safety glasses/goggles), hearing protection, head protection (bump caps and/or hard hats), safety toe shoes, gloves, hair nets, masks, clean-room frocks, or more, while adhering to the prescribed safety procedures.

Position: Mechanical Engineer Duration: 6-month, plus extension (highly likely) Location: Foster City, CA On-Site Schedule: M-F 8:00am-5:00pm Openings: 1 Pay RateL $60/hr - $65/hr Job Summary: Insight Global is looking for a Mechanical Engineer to drive the Design for Serviceability (DFS). In this role, you will perform evaluations of form, fit, function, access, and analysis of our products. You will collaborate with Vehicle Engineering, Manufacturing, Industrial Design, and Prototyping to advocate for core initiatives that support the Service optimization of our products. Simultaneously, this role involves managing our Fleet’s inspection and maintenance program. You will present comprehensive reports, findings, and opportunities to reduce cost, time, and repair methods , while collaborating with engineering and the ERP solutions team to develop, implement, and improve inspection and maintenance activities. passionate servant leader. Key Qualifications: • Education: Bachelor's Degree in Mechanical Engineering., • Experience: 4 to 6 years of engineering experience , ideally with successful experience in mechanical engineering within a service engineering organization., • CAD Skills: Strong 3D CAD experience, CATIA a plus., • Ability to design for a wide range of fabrication and manufacturing processes., • Solid understanding of complex mechanical and/or electrical systems., • Familiarity with industry standards and safety protocols., • Soft Skills: Detail-oriented, including proven documentation skills , and the ability to work autonomously to manage projects. Bonus Qualifications: • Proficiency in using ERP systems for maintenance and operational data management is a plus., • Experience within the automotive industry. Roles and Responsibilities Design for Serviceability • Partner with cross-functional teams to drive Serviceability (Design for Serviceability)., • Evaluate part and assembly design, from concept to design to manufacturing introduction for hand clearance, tooling clearance, ergonomics, and feasibility of replacement of all components., • Identify the need for specialized tooling; guide the special tooling team for design ideation, and development of the tool., • Provide comprehensive cost/time modeling that showcases opportunities to drive product change that supports the reduction of cost or complexity of the repair., • Work with the technical writing team to establish the repair process., • Develop service part release strategy and maintain the Service BOM for spare parts planning. Inspection & Maintenance (I&M) • Collaborate with engineering to develop & maintain the Inspection and maintenance activities associated with our Operations vehicles and Test fleet., • Review effectiveness data and suggest improvements to the maintenance plans to drive efficiency up and reduce vehicle downtime., • Identify areas of improvements in the Inspection and maintenance program and run process improvement projects independently., • Work with the technician and program management team to implement the maintenance plans., • Ensure compliance with industry standards and safety regulations in all maintenance and inspection activities.

Newlight’s mission is to accelerate the maritime industry’s transition to sustainable energy by making clean shipping affordable, starting with today’s fleet. We retrofit existing engines with a hydrogen-diesel dual-fuel “plugin” that reduces fuel consumption and emissions. We’re seeking a Lead Process Engineer to own the end-to-end ammonia/Methanol cracking process, from NH₃ feed to engine-grade hydrogen. You will define performance targets, build process models, specify equipment, and translate system requirements into vendor-ready designs. This role is ideal for a senior process engineer who thrives on thermodynamics, gas systems, and turning flowsheets into deployable hardware. What You Will Be Doing • Define the complete process chain: NH₃ vaporization and preheat, cracking reactor, heat recovery, NH₃ slip mitigation, drying/filtration, compression, and buffering., • Build mass and energy balances and steady-state process models (Aspen/HYSYS preferred; Python or spreadsheets acceptable)., • Specify product gas targets (H₂ purity, NH₃ slip, dew point), turndown ratios, ramp rates, and operating envelopes., • Author equipment specifications for reactor, heater, heat exchangers, separators, scrubbers/adsorbers, compressors, valves, and instrumentation., • Develop PFDs and P&IDs; maintain process datasheets and instrument lists., • Lead RFQs with vendors, evaluate bids, and support technical sourcing decisions., • Define utility loads (electrical, thermal, cooling) and system performance assumptions., • Collaborate closely with Mechanical, Electrical, Controls, and Safety on integrated system design, HAZID/HAZOP, and commissioning readiness. Requirements We Seek • Bachelor’s degree in Chemical Engineering or related field., • 3+ years in process or chemical engineering, ideally with high-temperature gas systems., • Hands-on experience with catalyst reactors, furnaces/heaters, and gas cleanup technologies (adsorption, scrubbing, PSA, membranes)., • Strong ability to translate process requirements into vendor-ready equipment datasheets., • Experience producing PFDs, P&IDs, and process documentation., • Clear technical communication and comfort working cross-functionally and on-site. Ways To Stand Out • Direct experience with ammonia/Methanol or hydrogen systems., • Marine integration or shipboard process systems., • Hazardous-area design exposure., • Python-based modeling or custom process tools., • Prior ownership of commissioning or performance validation of gas-process equipment. Why Join Newlight? • Own the system logic: You will define how ammoniaMethanol becomes clean hydrogen at sea., • Build something real: Take models and turn them into operating vessels., • Shape the roadmap: Influence architecture as we scale from pilots to fleets., • Mission with momentum: Deliver decarbonization on today’s ships, not future concepts.

About Liminal Insights Liminal’s mission is to accelerate the clean energy transition by improving the cost, quality, and reliability of battery manufacturing. We do this by providing customers with better analytics and insights during production. Our breakthrough EchoStat® platform uses ultrasound and machine learning technology to supply customers with the information needed to accelerate production ramp-up, improve productivity and reliability, and detect critical defects early. Liminal has active product evaluations with major cell manufacturers and EV OEMs, and is poised to rapidly expand its product portfolio and installed base. Our Culture and Values • We are dedicated to building a world-class, world-positive company., • We work closely on a foundation of mutual trust and informed decisions., • Our core values are trust, empathy, and curiosity., • We encourage personal growth, continuous learning, and safety., • We believe the most innovative teams are inclusive of and celebrate all forms of diversity. Role As a Senior Systems Engineer at Liminal, you will join a passionate and agile team developing next-generation ultrasonic inspection systems for advanced battery manufacturing applications. This role is strongly focused on advanced ultrasound technology development, with particular emphasis on phased array ultrasonic systems, signal processing, and system-level optimization for high-performance industrial battery inspection. You will lead R&D initiatives spanning core technology development, system architecture, customer applications, performance characterization, and next-generation product development. The ideal candidate combines deep expertise in ultrasonic systems with strong experimental, analytical, and cross-functional engineering skills. You are a hands-on engineer who enjoys diving deeply into complex system behavior and translating first-principles understanding into practical engineering solutions. You are intellectually curious, methodical, and comfortable leading open-ended technical investigations with a high level of ownership and autonomy. The ideal candidate brings both strong theoretical understanding and practical experience with real-world ultrasonic inspection systems. Responsibilities • Lead development, characterization, and validation of advanced ultrasonic inspection systems for battery manufacturing applications., • Develop deep theoretical and practical understanding of ultrasonic wave propagation, transducer behavior, acoustic coupling, and signal interpretation in complex battery structures to enable technology advancement and new inspection capabilities., • Drive the design, evaluation, and integration of core ultrasonic technologies, including phased array configurations, acquisition electronics, and coupling strategies., • Analyze large and complex ultrasonic datasets and develop advanced signal processing and imaging methodologies to improve defect detectability., • Build system- and subsystem-level models to predict inspection performance, acoustic behavior, sensitivity, throughput, repeatability, reliability and operational tradeoffs across varying customer applications and manufacturing conditions., • Design and execute rigorous experiments to validate system specifications, characterize performance limits, and support technology development throughout the full product lifecycle from concept development through production deployment and field support., • Work closely with Product Management and customers to translate inspection challenges and manufacturing requirements into measurable system-level specifications, technical requirements, and performance metrics., • Collaborate cross-functionally with Data Science, Software, and Hardware teams to validate concepts, troubleshoot complex issues, and deploy scalable, production-ready inspection systems. Minimum Requirements • Bachelor’s degree or equivalent in Physics, Electrical Engineering, Mechanical Engineering, or related field with 7+ years of relevant experience; OR Master’s degree with 5+ years; OR PhD with 2+ years of relevant experience., • Strong hands-on experience developing, characterizing, troubleshooting and optimizing ultrasonic inspection systems, preferably phased array ultrasonic systems for NDT or medical imaging applications., • Deep theoretical and practical understanding of ultrasound physics and acoustic propagation in complex media. Strong background in ultrasonic simulation and signal processing techniques. Experience correlating simulation, experimental data, and real-world system performance is highly desirable., • Experience designing, executing, and interpreting experiments to characterize and improve complex inspection or metrology systems., • Experience applying systems engineering principles to predict system performance and optimize solutions for customer applications., • Strong data analysis and programming skills (Python is preferred)., • Good communication and presentation skills with ability to work effectively across technical, commercial and leadership teams. Nice to haves • Experience with Solidworks or similar CAD programs., • Working knowledge of Linux systems., • Experience integrating inspection systems into automated manufacturing environments., • Technical proficiency in Korean. Benefits • Annual salary of $160,000 to $210,000 plus stock options, based on skill level and experience, to help you and your family build a healthy and secure future., • Group health benefits that provide support for employee well-being and preventative care, including comprehensive medical, dental, vision, and life insurance., • A retirement program that helps build future financial security through both traditional and Roth 401(k) options with employer matching., • Flexible working hours so you can be productive at the times that work best for you., • Generous time-off policy to allow you to renew and refresh through vacation, personal leave, and holidays., • For new parents, 12 weeks of fully-paid parental leave that you can take at any point during the first year. Liminal is an equal-opportunity employer. We celebrate all forms of diversity and are committed to creating an inclusive environment for all employees. However you identify or whatever your path here, please apply if this job excites you. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the hiring process, perform essential job functions, and receive other benefits and privileges of employment.

Say hello to opportunities. It's not every day that you consider starting a new career. We're RingCentral, and we're happy that someone as talented as you is considering this role. First, a little about us, we're a $2.6 Billion annual revenue company with double digit Annual Recurring Revenue (ARR) and a $93 Billion market opportunity in UCaaS, Contact Center and AI-powered adjacencies. We invest more than $250 million annually to ensure our AI-enabled technology and platforms meet or exceed the needs of our customers. AIR Pro is RingCentral's agentic AI platform for enterprise voice and digital customer interactions. The platform enables organizations to automate customer experience conversations with measurable business outcomes. This is where you and your skills come in. We're currently looking for: an AI Forward-Deployed Engineer This role is responsible for closing the gap between solution acquisition and value realization. This is a technical deployment role, not a services or support function. AI Forward-Deployed Engineers operate within strategic customer accounts, translating operational requirements into production-grade agentic AI experiences with direct accountability for business outcomes. This team operates within the AIR Pro GTM organization, working cross-functionally with Product, Engineering, Professional Services, and Support. AI Forward-Deployed Engineers are assigned to a focused portfolio of strategic accounts, with the expectation of depth over breadth: thorough engagement, production deployment, proven ROI, and account expansion. This is a remote position based in the United States, with travel to customer sites as required (typically 20-30%). Job Duties: Engage directly with customers to discover requirements, map business processes, prioritize high value use cases and translate them into AI agent behaviors and workflows, focused on measurable ROI Conduct detailed workflow analysis of existing customer processes, including call routing, agent scripts, escalation paths, and back-office handoffs, to determine optimal points for AI automation. Establish clear success criteria prior to deployment, including containment rates, handle time reduction, resolution accuracy, and cost per interaction. Own the end to end Agent Development Lifecycle by continuously monitoring performance through observability, metrics, and customer feedback, and iterating on agent behavior to drive ongoing improvements and business outcomes. Design and implement multi-turn agent workflows, including prompt chains, retrieval pipelines, decision logic, fallback handling, and live-agent handoff rules. Build integrations between AIR Pro and customer systems of record (CRMs, EHRs, ERPs, ticketing platforms, custom APIs) using secure authentication protocols (such as OAuth 2.0, SAML, SCIM). Implement compliance and safety controls appropriate to the customer's environment, including guardrails, PII handling, HIPAA, PCI, and other controls. Deploy monitoring, evaluation, and testing frameworks as necessary to enable ongoing measurement and optimization of agent performance. Serve as the senior technical resource during pre-sales engagements for strategic accounts, including live demonstrations, proof-of-concept builds, and RFP/RFQ response development. Collaborate with the Dedicated AE, Digital Overlay team, and RingCentral Sales Engineers to qualify opportunities, scope deployment requirements, and establish delivery timelines. Develop expansion business cases from pilot results that Sales can present to additional departments or business units within the account. Document integration patterns, platform limitations, and recurring customer requirements encountered during deployments. Provide structured feedback to Product and Engineering with sufficient technical detail to inform roadmap prioritization and feature development. Desired Qualifications: 4+ years of experience in a customer-facing technical role, such as Solutions Architecture, Technical Consulting, Forward Deployed Engineering, or a high-touch Sales Engineering position involving hands-on implementation. Demonstrated proficiency with large language models, retrieval-augmented generation, vector databases, and agent orchestration frameworks. Proven ability to communicate effectively across technical and executive audiences, such as leading design reviews with engineering teams and presenting business cases to senior operations leadership. Demonstrated ability to operate independently in ambiguous, fast-moving environments with incomplete information and competing priorities. Bachelor's Degree or equivalent military and/or work experience Telephony domain expertise, including SIP, WebRTC, SBCs, or direct experience with CCaaS/UCaaS platforms. Experience deploying agentic AI systems (voice or digital) at enterprise scale. Industry depth in healthcare, financial services, retail, or insurance. Familiarity with competitive conversational AI platforms. What we offer: Comprehensive medical, dental, vision, disability, life insurance Health Savings Account (HSA), Flexible Spending Account (FSAs) and Commuter benefits Voluntary supplemental health coverage and life insurance 401K match and ESPP Paid time off and paid sick leave Paid parental and pregnancy leave Family-forming benefits (IVF, Preservation, Adoption etc.) Emergency backup care (Child/Adult/Pets) Employee Assistance Program (EAP) with counseling sessions available 24/7 Free legal services that provide legal advice, document creation and estate planning Employee bonus referral program Student loan refinancing assistance Employee 1:1 coaching, perks and discounts program RingCentral's work culture is the backbone of our success. And don't just take our word for it: we are recognized as a Best Place to Work by Glassdoor, the Top Work Culture by Comparably and hold local BPTW awards in every major location. Bottom line: We are committed to hiring and retaining great people because we know you power our success. About RingCentral RingCentral, Inc. (NYSE: RNG) is a leading provider of business cloud communications and contact center solutions based on its powerful Message Video Phone(MVP) global platform. More flexible and cost effective than legacy on-premises PBX and video conferencing systems that it replaces, RingCentral empowers modern mobile and distributed workforces to communicate, collaborate, and connect via any mode, any device, and any location. RingCentral is headquartered in Belmont, California, and has offices around the world. RingCentral is an equal opportunity employer that truly values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations for individuals with disabilities during our application and interview process. If you require such accommodations, please click on the following _ to learn more about how we can assist you. If you are hired in Colorado, California, Hawaii, Nevada, New York, Maryland, Washington, Connecticut, Rhode Island, the compensation range for this position is between $147,700 and $215,000 for full-time employees, in addition to eligibility for variable pay, equity, and benefits. Benefits may include, but are not limited to, health and wellness, 401k, ESPP, vacation, parental leave, and more! The salary may vary depending on your location, skills, and experience.

Job DescriptionThe Perception team at Zoox is at the forefront of leveraging GenAI to create synthetic data, unlocking scalable training and evaluation for our autonomous system's perception and entire stack. As a Generative AI Engineer, you will develop and train cutting-edge models for sensor-level scenario generation, utilizing world models and radiance fields techniques with large-scale proprietary data. This role directly impacts the productivity, safety, and capabilities of Zoox's autonomous system by validating algorithms in real-world conditions.In this role, you will: • Design, develop, train and evaluate multi-sensor fusion based deep learning models to understand obstacles and environmental context, • Understand and curate real and synthetic datasets to improve our models, • Perform latency optimization and deploy models to our robot fleet, • Build a deep understanding of Perception gaps and behavioral issues around difficult obstacle types in order to help plan and prioritize our work, • Collaborate with Prediction/Planner team to deploy fully autonomous vehicles in environments with difficult and rare obstacles, extreme weather conditions, and complex driving scenarioQualifications, • MS or PhD in Computer Science, Machine Learning, or related technical field with 5+ years of industry experience, • Proficiency in Python and some knowledge in C++, • Deep Learning expertise, • Experience developing multi-sensor fusion algorithms for object detection, panoptic segmentation or object tracking, • Familiar with Transformer architectureBonus Qualifications, • Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA), • Experience with autonomous robotics systems, • Experience implementing 3D Gaussian SplattingBase Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout the company At Swift Solar, our mission is to unlock the full potential of solar energy. We believe that solar energy has vast untapped potential to power our lives, fuel economies, and strengthen supply chains, while protecting planetary health in the face of global climate change. The reality is that today's solar technology is good, but not good enough. Swift Solar is making solar better with its breakthrough tandem technology that harnesses the power of perovskite materials to create solar solutions that are not only more efficient than traditional technology but also more versatile, enabling applications ranging from space solar to utility-scale power generation. Swift Solar is a mission-focused startup supported by the US government and backed by world-class investors. It's a long journey to bring a new clean energy technology to market, and we're in it for the long haul, together. Join our extraordinary team building the cutting-edge solar technology that will shape the future of the global solar industry. A night in the life As Senior Equipment Engineer on the night shift, your mission is to keep Swift's laboratory operations running smoothly after hours — providing hands-on sustaining and service support for our deposition tools and process equipment, and making sure the morning team walks into a lab that's ready to go. On a typical night, you might start by checking SPC dashboards and deposition parameters, flagging anything that looks off to the relevant process or hardware owners. When a tool drifts out of spec, you're the one making the call — continue running, pause, or shut down — and then leading the effort to diagnose and fix the issue, whether it's vacuum instability, plasma variation, or a deposition uniformity problem. You'll restart vacuum systems and tools, review thin-film metrology results and adjust process parameters, and dig into tool logs and PLC data alongside the controls engineer. Throughout the shift, you'll coach and guide process technicians through real-time troubleshooting, helping them build confidence under pressure. Beyond the tools themselves, you'll maintain facility equipment like compressors, gloveboxes, and chilled water systems, support spare-part tracking and consumables forecasting, and recommend improvements to operations. You'll be one of the go-to people for any safety questions or concerns that arise during the night. This is a role where strong hardware instincts, calm judgment, and the ability to mentor others all come together — and as an early member of the night shift team, you'll have a real hand in shaping how Swift operates around the clock. You might be a good fit if you... • Have 5+ years of sustaining engineering experience with vacuum deposition tools in semiconductor or related industries, • Are versatile enough to troubleshoot and repair both mechanical and electrical systems (high and low voltage), • Have a fundamental understanding of vacuum chamber pumping — including mechanical, turbo, and cryogenic pumps — and are familiar with vacuum gauges, valves, and related components, • Are comfortable reviewing thin-film measurements used in process control, applying changes to bring deposition processes back in spec, and have familiarity with process controls and film analysis, • Have general EHS/safety knowledge and can identify and help resolve safety concerns related to equipment and materials, • Are an organized, strong communicator who can clearly hand off information between shifts, • Have experience working with facilities engineering firms and facilities maintenanceA very strong candidate might bring one or more of the following..., • Experience operating thin-film vacuum systems, • Hands-on troubleshooting of inline deposition equipment, • Working knowledge of sputtering, evaporation, and ALD thin-film processes, • Familiarity with analytical instruments used in the photovoltaic industry, • Experience in a startup environment, • Knowledge of EHS standards and codes, • Experience supervising or leading technicians, • Experience in high-mix or pilot manufacturingThe logistics, • Compensation: Competitive package including salary, equity, and benefits, • Expected Pay Range: $125,000 - $165,000 per year + 15% shift differential, • The actual offer, reflecting total compensation and benefits, will be determined by factors such as relevant experience, skills, and other qualifications, • Ideal start date: April – May 2026, • Job type: Full-time, 10pm-6:30am, • Location: San Carlos, CA (Swift Solar HQ)What you'll love about Swift, • Work with purpose: Join our mission to unlock the full potential of solar energy and make a global impact., • Lead with innovation: Be part of an extraordinary team building cutting-edge solar technology - growth mindset; culture, • Thrive with benefits: Have 100% of your monthly premiums for HMO / PPO group healthcare plan options and 75% of your dental and vision insurance premiums covered by us. Employees also benefit from 401(k) matching, clean commuter benefits, and meaningful equity., • Invest in your career: You'll grow your skills, your network, and your perspective at Swift. We'll support you in attending conferences and taking online courses, as long as you share your new insights with the team. We recognize that candidates from underrepresented backgrounds often hesitate to apply if they don't meet all the criteria. If you're excited about this role and believe you can contribute to our team, we encourage you to apply—even if you don't meet every qualification listed. We're eager to meet people from all backgrounds, and your unique skills and experiences could be exactly what we need. If you believe in our mission, but this isn't the right job for you, please check out other career opportunities on our website and email us at careers@swiftsolar.com with any questions. And if you have a friend who would be a perfect fit, send them this link. Thanks! Swift is an equal opportunity employer. We value an inclusive work environment and welcome team members of all backgrounds and perspectives.

Job DescriptionThe Offline Driving Intelligence (ODIN) team at Zoox is leveraging the latest in AI to craft algorithms that understand the world. We leverage large models first offline and we devise a path of impact into our self-driving robot, enabling safe and efficient navigation in complex environments. As an engineer in the ODIN team, you will develop advanced multimodal large language models that enhance environmental understanding. You'll develop and fine-tune these models for off-vehicle analysis while working with the onboard team to deliver impact in our robotaxi platform, ensuring they can efficiently identify hazards and interpret driving restrictions with minimal latency. Working alongside world-class engineers and researchers, you'll leverage premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions, directly impacting productivity, safety and the capability of Zoox's autonomous system.In this role, you will: • Lead the development of multimodal large language models that enhance our robotaxis' understanding of complex urban environments, • Design effective model architectures and sophisticated training techniques, leveraging all the inputs from our sensor stack and the overall large scale data we have at Zoox., • Drive end-to-end ML solutions from research to production, utilizing Zoox's extensive data pipelines and infrastructure to improve autonomous driving capabilities, • Collaborate with perception, planning, safety, and systems teams to integrate your models into the vehicle's decision-making pipeline, • Validate and optimize your solutions using real-world driving scenarios, directly contributing to the safety and reliability of Zoox's autonomous systemQualifications, • MS or PhD in Computer Science, Machine Learning, or related technical field, • Demonstrated experience training and deploying large language models (LLMs), • Experience building and maintaining ML training pipelines, including data preprocessing, model training, and evaluation, • Proficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projects, • Experience training with large scale datasets (e.g. tens of millions of videos)Bonus Qualifications, • Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA), • Experience with autonomous robotics systemsAbout ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionThe Offline Driving Intelligence (ODIN) team at Zoox is leveraging the latest in AI to craft algorithms that understand the world. We leverage large models first offline and we devise a path of impact into our self-driving robot, enabling safe and efficient navigation in complex environments. As an engineer in the ODIN team, you will develop advanced multimodal large language models that enhance environmental understanding. You'll develop and fine-tune these models for off-vehicle analysis while working with the onboard team to deliver impact in our robotaxi platform, ensuring they can efficiently identify hazards and interpret driving restrictions with minimal latency. Working alongside world-class engineers and researchers, you'll leverage premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions, directly impacting productivity, safety and the capability of Zoox's autonomous system. In this role, You will... • Lead the development of multimodal large language models that enhance our robotaxis' understanding of complex urban environments, • Design effective model architectures and sophisticated training techniques, leveraging all the inputs from our sensor stack and the overall large scale data we have at Zoox., • Drive end-to-end ML solutions from research to production, utilizing Zoox's extensive data pipelines and infrastructure to improve autonomous driving capabilities, • Collaborate with perception, planning, safety, and systems teams to integrate your models into the vehicle's decision-making pipeline, • Validate and optimize your solutions using real-world driving scenarios, directly contributing to the safety and reliability of Zoox's autonomous systemQualifications, • MS or PhD in Computer Science, Machine Learning, or related technical field, • Demonstrated experience training and deploying large language models (LLMs), • Experience building and maintaining ML training pipelines, including data preprocessing, model training, and evaluation, • Proficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projects, • Experience training with large scale datasets (e.g. tens of millions of videos)Bonus Qualifications, • Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA), • Experience with autonomous robotics systemsAbout ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group—57,000+ engineers in 30 countries—we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you'll collaborate on some of the world's toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow. Location: Foster City, CA On-site: 5 days per week The Component and Sub System Hardware Validation team is responsible for ensuring components and subsystems on vehicles meet all functional and reliability targets needed to facilitate our autonomous mobility service. Our team has an action biased culture marked by integrity, humility, competence, and passion for the mission and the systems we design. We are building real products here and are looking for doers to join us. As a LV Distribution Validation Engineer, you will be responsible for establishing and executing a robust and rigorous validation process from requirements development through report approval. This will include managing internal and external testing resources as well as supplier-led validation activities which ensure durability, reliability, and safety targets are satisfied. You will work closely with cross functional teams to understand root causes of failures, identify mitigation strategies, and incorporate learnings into new designs. Responsibilities • Develop, manage, and execute test plans to validate mechanical, electrical, and environmental failure modes, • Collaborate with design engineers to ensure that requirements are clearly defined and captured within the validation plan, • Identify appropriate test assets, data acquisition systems, and sensors to ensure high-quality test data, • Analyze test data to provide clear and concise reporting of test results, • Support DFMEA activities to gain confidence that all potential failure modes are adequately covered within the validation plan. Qualifications • BS or MS in mechanical engineering, or related relevant field, • 3-6 years of test or validation experience related on grommets, terminals, connectors, harness and LV Components (Fusebox, Battery, Battery sensor, etc) including signal integrity, • Experience with requirements management tools (Polarion or equiv.), • Experience with a wide variety of lab and measurement equipment including but not limited to: DAQ, Power supply / E-load, Oscilloscope, Accelerometers, Thermocouples, CAN, LIN and automotive ethernet, • Experience with Project Management tools such as JIRA and Kanban methodology., • Experience on Protocol communications: ○ Crimping ○ LIN Communication ○ Ethernet Communication ○ A2B communication • Experience on Production Process: ○ Strip & Crimping ○ Welding ○ Stamping ○ Molding • Standards: ○ USCAR 2 / USCAR 21 / USCAR 12 / USCAR 15 / USCAR 37 / USCAR 38 ○ LV 124 / LV 148 ○ ISO 8820 ○ Open Alliance (TC2 and TC9) & IEEE 802.3bp/bw Bonus Qualifications • Familiarity with 3D design tools. CATIA 3DX or CATIA V5 or SolidWorks preferred, • EMI / EMC validation experience, • Familiarity with IEC 60068, GMW 3172, IEEE 802.3, USCAR, AEC & IPC standards, • Familiarity with Vector tools (CANanalyzer or similar), • Power Distribution and Thermal Management (derating strategies), • Batteries Chemistry (Lead-Acid and Li-ion), • Functional Safety (ISO 26262) Salary Range • $110,000-130,000, • The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience ALTEN Technology is an Equal Opportunity Employer. Our Policy is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Please beware of job seeker scams and see this important notice on our careers page for more information about our recruiting process. Compliance Notice: Alten USA is a federal contractor subject to the requirements of the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and Executive Order 11246. We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Drug Screening Requirement: As a federal contractor, Alten USA maintains a drug-free workplace. All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.

Job DescriptionZoox is seeking a Site Reliability Engineer to help ensure the availability, performance, and resilience of the services that power the development and operation of our autonomous vehicles. In this role, you will own the full lifecycle of our services—from designing fault-tolerant, maintainable systems to deploying, operating, and continuously improving them in production. As a robotics company, Zoox embraces automation at every layer of our infrastructure, and you’ll help drive that ethos forward. You’ll work hands-on with systems that process massive volumes of data and support compute-intensive pipelines running on both CPUs and GPUs. In this role, you will: Architect and optimize scalable systems: You will design, implement, and continuously improve highly reliable infrastructure, directly impacting the success and safety of Zoox's autonomous vehicle platform. Build proactive monitoring solutions: You will develop advanced monitoring, alerting, and reporting tools to ensure potential issues are identified and resolved before they affect production. Collaborate across engineering: You will partner closely with software engineering teams to elevate our system architecture, streamline deployment processes, and drive automation initiatives. Lead incident resolution: You will conduct thorough root cause analyses on production issues and rapidly deploy corrective actions to maintain a resilient and stable environment. Ensure business continuity: You will safeguard the company's operations by designing and implementing robust disaster recovery plans to keep the Zoox fleet running smoothly under any circumstances. Qualifications SRE & Distributed Systems Experience: 5+ years of experience in site reliability engineering or a similar role, with a strong, objective background in managing large-scale distributed systems. Cloud & Infrastructure as Code (IaC): Proven experience operating within major cloud platforms (AWS, GCP, or Azure) and utilizing IaC tools like Terraform, Ansible, Salt, or CloudFormation. Container Orchestration: Technical expertise in deploying, managing, and scaling systems using container orchestration technologies such as Kubernetes. Core Infrastructure Knowledge: Deep, foundational understanding of networking protocols, storage solutions, and database technologies. Programming Proficiency: Strong, demonstrable programming and scripting skills in languages such as Python, Go, C/C++, or Java. Bonus Qualifications Experience in the automotive or autonomous vehicle industry. Knowledge of security best practices and compliance requirements. About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description At Zoox, we believe that Robot Industrial Design transcends mere aesthetic styling—it's about innovative systems thinking, captivating storytelling, and groundbreaking world-building. We are a team of visionaries driven by the belief that design has the power to fundamentally transform how people navigate their environments. Starting from first principles, we are pioneering a new category of mobility that is autonomous, human-centered, and conceived entirely from the ground up. We are seeking a highly skilled and experienced Studio Engineer to join our forward-thinking team and play a crucial role in shaping the future of Zoox's autonomous vehicle design. As a Studio Engineer at Zoox, you’ll not only lead collaborations across our design and engineering teams, but you will also be at the forefront of transforming imaginative concepts into functional, production-ready products. Here, we break free from legacy constraints, instead embracing first-principles problem-solving to rethink assumptions and create revolutionary solutions. This is an incredible opportunity to be an integral part of a dynamic design process where your contributions will ensure our vehicles are not only visually stunning but also exceed our rigorous standards for safety, performance, and functionality. If you’re driven by innovation and eager to make a meaningful impact on the future of mobility, we invite you to join us and help shape a new era of transportation. Together, let’s redefine how the world moves. In this role, you will... Collaborate with designers and digital modelers to develop technically feasible vehicle concepts, guiding the evolution of early designs using first-principles engineering while preserving design intent for downstream development. Partner with advanced and production engineering to translate technical requirements and constraints into clear design guidance. Ensure designs are viable, production-ready, and support the transition from concept to production. Evaluate concepts for feasibility, manufacturability, and cost. Provide engineering insights to optimize designs for program goals. Ensure conceptual and production designs comply with regulatory, safety, and certification requirements by collaborating with homologation, policy, and safety teams. Own the organization and management of master-level 3D surface data, design CAD, and supporting documentation used for prototype development and engineering evaluation. Monitor industry trends, technologies, and best practices in automotive design and engineering. Develop new tools and workflows to enhance cross-functional collaboration and streamline design-to-production processes. Qualifications • Bachelor's degree in Mechanical Engineering or a related field. 10+ years of experience in automotive design and engineering. Expert knowledge of automotive design, engineering, manufacturing processes, materials, fabrication techniques, quality, and supply chain. • Proficient knowledge of global automotive regulation, homologation, safety, and policy standards. Expert-level proficiency in CAD and PLM Catia/3DX software and automotive industry best practices. Exceptional communication and collaboration skills with a proven ability to lead technical discussions, influence cross-functional teams, and mentor junior engineers and designers. Bonus Qualifications Direct experience in Studio Engineering, prototype, and advanced engineering development. Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. Zoox’s System Design and Mission Assurance (SDMA) team is responsible for constructing the safety case for each milestone. We play a foundational role for the success of the company. As a safety research engineer focused on quantitative risk assessment, you will help Zoox to improve and expand our existing safety risk assessment framework. The safety risk assessment framework is a critical part of the overall safety case and informs the decision-making in every aspect of the technology. In this role, you will: Lead efforts to improve the fidelity of Zoox’s safety and progress performance metrics Apply distributed computing algorithms to efficiently analyze petabytes of urban driving and vehicle testing data Develop and standardize best practices of safety risk assessment across the company Develop and automate the tooling of the the risk assessment framework Contribute to the improvement and evolution of the Safety Case of Zoox technology, in close collaboration with cross-functional teams including Software, Hardware, Vehicle Development, Fleet Operations, Safety Strategy and Operations, Legal, etc. Qualifications M.S. or higher degree in an Engineering or Science discipline with a strong focus on Statistics, Probability Theory, or Data Science Proficiency in quantitative analysis/modeling tools Proficient with SQL / Spark / Python for interfacing with Zoox’s urban driving and simulation data At least 3 years of relevant work experience in understanding and quantifying safety risks Collaborative team player with strong written and in-person communication skills Bonus Qualifications Ph.D. in an Engineering or Science discipline with a strong Data Science or Statistics focus Publications in the field of quantitative risk assessment for safety engineering Experience with human behavior data There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout the Role At Zoox, we are building a full-stack autonomous mobility solution from the ground up. Within our Autonomy Software organization, we are actively expanding our self-driving capabilities to new geofences — pushing our vehicles into more complex and diverse real-world environments. We are looking for a highly motivated Software Engineer Co-Op to support this expansion effort. Working directly with our autonomy engineering teams, you will gain hands-on experience developing, testing, and analyzing the software that powers our autonomous vehicles. If you are passionate about robotics, self-driving systems, and writing software that matters, this is a unique opportunity to make a tangible impact at one of the most ambitious companies in autonomous mobility.Key Responsibilities: • Software Development & Testing: Support development and testing efforts to improve driving performance across new geofences, contributing directly to the reliability and safety of our AV stack., • Data Analysis & Reporting: Assist in collecting, analyzing, and reporting on autonomous driving data to surface insights that drive engineering decisions., • System Evaluation: Help analyze and test autonomy software, identifying failure modes and supporting root cause investigations., • Documentation: Contribute to clear, accurate technical documentation to support team knowledge sharing and process consistency.Qualifications:, • Education: Currently pursuing a Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Software Engineering, or a closely related field., • Technical Chops: Proficiency in C++, with familiarity with software development processes and best practices., • Analytical Mindset: Strong analytical and problem-solving skills, with the ability to interpret complex data and draw actionable conclusions., • Collaborative Spirit: Comfortable working across teams and communicating technical findings clearly to peers and leads., • Proactive Attitude: Self-motivated and eager to learn in a fast-paced, high-impact engineering environment.$30 per hour. This is a contract position and employment for this position will be through a vendor contracted with Zoox. The hourly pay range is posted and you will be eligible for a benefits package as offered by the vendor. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description EV Battery Pack Lead Engineer Foster City, CA ( Need locals) Job Summary: We are looking for a highly skilled EV Battery Pack Lead Engineer to lead end‑to‑end design, development, validation, and industrialization of high‑voltage battery packs for electric vehicles. This role requires strong technical depth in battery systems, engineering leadership, cross‑functional collaboration, and the ability to drive design decisions that meet performance, safety, cost, and timing targets. Key Responsibilities 1. Battery Pack Architecture & System Design Lead the development of HV battery pack architecture, module configuration, cooling strategy, HV/LV distribution, and structural layout. Define system requirements, technical specifications, and Interface Control Documents (ICDs). Conduct trade-off studies considering cell format, thermal behavior, crash safety, cost, manufacturability, and packaging constraints. 1. Detailed Design & Engineering Leadership Guide mechanical, thermal, electrical, and BMS engineers throughout the design cycle. Review CAD models, drawings, GD&T, DFMEA, and DVP&R documentation. Ensure DFM/DFA best practices and compliance with industry standards (UN38.3, UL2580, ISO 26262, ISO 6469). Manage supplier technical interactions for cells, cooling plates, BMS, enclosures, and busbars. 1. CAE, Validation & Testing Review CAE results (structural, crashworthiness, vibration, thermal/CFD). Define and execute validation plans including DV, PV, abuse testing, IP rating, vibration, shock, and regulatory compliance. Drive correlation between CAE and physical test results. 1. Program & Stakeholder Management Lead technical discussions with customers, suppliers, and cross‑functional teams. Manage technical risks, open issues, ECO/ECN processes, and release gates. Provide status updates, review technical deliverables, and ensure timely milestone achievements. 1. Industrialization Support Support prototype builds, plant trials, PFMEA, and control plan development. Coordinate with manufacturing engineering for tooling, fixtures, assembly sequence, and process validation. Ensure readiness for PPAP and SOP. Required Skills & Qualifications Bachelor's or Master's degree in Mechanical Engineering, Electrical Engineering, Automotive Engineering, or equivalent. Experience in EV battery pack or energy storage system design. Strong knowledge of lithium‑ion cell technology, thermal management, HV safety, and mechanical structures. Proficiency in CAD tools (CATIA V6) and PLM systems. Good understanding of CAE concepts and ability to interpret simulation results. Hands-on experience with DV/PV testing and correlation. Excellent problem-solving, leadership, and communication skills. Familiarity with automotive standards and regulations relevant to EV battery systems. Preferred Qualifications (Nice to Have) Experience with ISO 26262 functional safety for BMS. Prior exposure to global EV OEMs/Tier‑1s. Knowledge of pack manufacturing processes (welding, bonding, potting, gasketing). Experience in HV/LV architecture, wiring, and controls. Agile/SAFe program management experience.

Job Description The AV Safety Software Engineer will play a critical role in supporting Zoox’s behavioral safety and operational validation efforts. In this position, you will work with large-scale fleet and simulation data to identify, analyze, and triage events related to Rules of the Road compliance and Reputational Risk monitoring. You will be part of the Safety Strategy and Operations (SSO) team, operationalizing defined requirements through data-driven analyses, dashboards, and workflow automation. While focused on execution – developing queries, running analyses, triaging events, and delivering actionable insights – this role also supports data analysis for requirement development, providing critical inputs to SSO’s process. The ideal candidate can translate complex behavioral signals from large-scale datasets into clear insights, build tools to streamline analytics workflows, and leverage AI tools to scale event review and triage. You will help ensure Zoox’s autonomous vehicles continue to operate safely and reliably, while providing clarity and actionable intelligence across the organization. In this role, you will: • Develop and maintain scalable queries using Python, Spark, and SQL to identify behavioral events of interest in fleet and simulation data., • Conduct analyses to evaluate vehicle behavior, trends, and compliance with defined Rules of the Road and Reputational Risk metrics., • Support event triage, including classification, documentation, and prioritization for further investigation., • Design, build, and maintain dashboards in Looker and Databricks to track safety and reputational metrics., • Leverage AI tools (LLMs/VLMs, prompt engineering, and context engineering) to assist with event summarization, semi-automated triage, and workflow automation., • Collaborate closely with other teams to investigate anomalies and emerging patterns, providing actionable insights for operational and strategic decision-making., • Continuously improve data pipelines, triage processes, and dashboard functionality to support efficient Safety operations.Qualifications, • BS or MS in Computer Science, Data Science, Robotics, Statistics, or a related field., • 4+ years of experience working with large-scale datasets, preferably in autonomous vehicles, robotics, or other safety-critical systems., • Strong programming skills in Python (pandas, PySpark) and advanced SQL/Spark query development., • Experience designing and maintaining dashboards in Looker, Databricks, Tableau, or similar platforms., • Demonstrated ability to analyze complex behavioral or operational data and provide actionable insights., • Familiarity with AI tools (LLMs/VLMs, prompt engineering, context engineering) for data analysis, triage, or workflow automation., • Experience working with cross-functional teams and communicating technical content clearly to both engineering and non-technical audiences., • Strong problem-solving skills and attention to detail in data-driven environments.Bonus Qualifications, • PhD in Engineering in a technical field, • Experience working with autonomous vehicle logs or large-scale simulation data., • Understanding of AV stack components and vehicle behavior., • Familiarity with Rules of the Road, safety metrics, or operational safety processes.Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Zipline Zipline is the world's largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world's largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we've built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people's lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. About You and The Role As a Senior Software Engineer - Hardware Test at Zipline you will have the unique opportunity to develop and deploy high quality software that will power our automated testers for our next-generation of P2 hardware. By developing these tests you will gain a deep understanding of our avionics stack, flight and embedded code, and vehicle-sensors. You will own these test systems from early prototype design all the way to field/production root-cause, driving schedules and deliverables, interfacing with vendors and bridging cross-functional teams with a reliability and safety focus. Most importantly, your work will directly contribute to the design of future vehicles and verification of our next-generation aircraft. You are the last line of defense with our production testers before our vehicles are shipped all over the world to perform vital, life-saving deliveries. What You'll Do • Architect, develop, and deploy test software and test assets that will be used to validate components from avionics boards, sensors, instrumentation, and mechanism assemblies., • Develop automation-centric software scripts to streamline design and production testing., • Develop a deep understanding of components under test becoming a subject matter expert in the component's behavior under a range of environmental, performance, and system conditions., • Coordinate cross-functional teams and external vendors to deploy high quality test systems in a timely manner to support vehicle-builds., • Drive end-to-end test campaigns from development through design validation, certification, and production automation (often working all facets simultaneously)., • Triage and root-cause field failures, using data analysis, test heritage, correlation to operating conditions, and one-off test campaigns., • Develop automation software scripts and visualization tools to streamline design and production testing.What You'll Bring, • 5+ years of programming experience in Python for high volume production applications (manufacturing/EOL software development experience). Some knowledge of embedded C and ability to understand Rust is desired., • Experience with object oriented programming., • Experience building automation systems for use in safety-critical and factory applications., • Experience working with Git / CI and the software development and validation process., • Experience developing software that interfaces directly with hardware including navigating datasheets and validating hands-on with representative hardware., • Experience developing test plans, test requirements, and test criteria for hardware products., • Experience using and deep understanding of common test instrumentation and data acquisition hardware., • Experience solving complex multidisciplinary problems with little supervision on schedule as an individual or as a member of an integrated team., • Must be authorized to work in the US. What Else You Need to Know The starting cash range for this role is $160,000 - $220,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!

Job DescriptionAbout Zipline Zipline is the world's largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world's largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we've built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people's lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. ABOUT YOU AND THE ROLE Does the prospect of a society-altering challenge - transitioning a first-of-its-kind autonomous robotic system from prototype to volume manufacturing - sound like the type of work that gets you out of bed in the morning? Can you cut through the fog of multiple, competing priorities to focus on the most critical steps required to accomplish both immediate and long-term goals? Are you undeterred by the authority and responsibility that comes with a critical leadership position? If this excites you, you're who we're looking for! This is an in-person role based out of our HQ in South San Francisco requiring 40-60% traveling to and managing critical partners in Asia and North America. WHAT YOU'LL DO In this highly visible role, you will own component development qualification activities at suppliers and interact with Engineering, Strategic Sourcing, Integrated Planning, and Manufacturing Operations teams to scale Zipline's manufacturing footprint. • Plan, organize, direct and conduct industrialization related activities within the Design Engineering , Manufacturing, Material Planning, New Product Introduction (NPI) and Supply Chain teams., • Participate in Supplier Design for Manufacturability (DFM) reviews, guide suppliers in efficient use of poka-yokes, best methods of gauging, and correct tools or assembly equipment to use. Provide feedback to Zipline Design teams to ensure alignment and incorporation of feedback during validation build phases and into mass production., • Lead, track and improve Supplier manufacturing process development and launch readiness for design changes, new products and outsourcing initiatives., • Lead and implement Supplier improvements in scalability, cost, and quality., • Guide Suppliers in developing exceptionally robust processes and procedures to promote seamless and efficient production of high quality electrical components., • Facilitate communication and clarification of technical requirements between Suppliers and Zipline's Design, Internal Quality and Procurement teams. Collaborate with Zipline Design, Internal Quality and Manufacturing/NPI to determine ideal performance specifications and Supplier metrics., • Drive improvements utilizing Lean methodologies, Statistical Process Control (SPC), and supplier scorecards., • Own should-cost modelling and support GSM in pricing/negotiations. WHAT YOU'LL BRING • You have worked for a minimum of 2-15+ years in a fast paced and high growth environment as a Supplier Quality Engineer, Supplier Development Engineer, or Supplier Industrialization Engineer, Manufacturing Engineer, Process Engineering., • You have successfully launched into volume production complex manufactured components and assemblies from prototype through mass production stages., • You have actively participated in product design efforts and thus know what it takes to transition from prototype to volume production (CAD system experience like Nx, Catia, Solidworks is a bonus)., • You have implemented First Article Inspection criteria, PPAP requirements, and Supplier Quality Scorecard metrics, • You have worked with an established Quality System and applied it to improve your supply base (applicable standards are AS9100/ISO9001/IATF16949)., • You have achieved measurable results with implementing Product Quality Planning with part suppliers and contract manufacturers, both domestic and overseas (applicable examples are Advanced Product Quality Planning, Production Part Approval Process, Process Failure Modes and Effects Analysis, SPC), • You can thrive in structured and unstructured environments and are not dissuaded at the prospect of making hard decisions about what is important and urgent against a backdrop of limited resources. Major Bonuses • Advanced technical degree with experience developing new products, managing the transition from prototype to mass production, and creating order from chaos, • You are a first principles problem solving - you understand the value of methods such as 8D, 5-WHY, Pareto Charts and Fishbone Diagrams because you have achieved measurable results by using them and influencing others to do the same., • Technical expertise in at least several of the following disciplines: PCBA Assembly, PCB Fabrication, Carbon Fiber/Composites, Machining/Casting/Extruded/Stamping, Motor Manufacturing (Lamination, Winding, Magnets, etc), Injection Molding, inspection fixture design, GD&T, metrology (CMM/OMM programming and inspection), manufacturing line setup , electro-mechanical assembly & testing etc, • Experience managing vendors in various geographies with a strong understanding of what manufacturing excellence looks like across a variety of processes. Demonstrated ability to walk into a new potential supplier and rapidly assess industrialization capability, reliability and quality, and safety, • You have a good understanding of and have successfully implemented the correct gated controls within a product development process and achieved the intended results., • You have strong project management skills with demonstrated ability to drive aggressive timelines with key stakeholders internally and externally. What Else You Need to Know This role will require travel 30-60% of the time to critical external partners. The starting cash range for this role is $120,000 - $247,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities.

Job Description The Robot Dynamics team at Zoox is responsible for the vehicle dynamics performance of our robot. Our team is the engine behind Zoox’s vehicle dynamics development. We don't just "test" vehicles; we translate data into technical insights that drive critical engineering decisions. We are looking for an engineer with strong vehicle dynamics chops and a can-do mindset—someone who can use modern data analysis tools to turn questions into answers rapidly, find the signal in the noise, and provide the broader team with clear options for advancing the vehicle dynamics performance of our robots. In this role, you will: Conduct virtual ride and handling assessments to identify critical trade-offs and lead testing activities Analyze simulation and vehicle data to provide quick-turnaround insights on vehicle behavior, identify performance gaps, and propose hardware or software solutions. Distill complex vehicle dynamics phenomena into clear, data-backed options for the broader engineering team to consider during design and tuning cycles. Contribute to the core Zoox vehicle model to improve realism and simulation capabilities Use simulation and data analysis to evaluate vehicle stability in limit-handling maneuvers and safety-critical failure modes. Qualifications 5+ years of experience and a Bachelor's in Mechanical Engineering, Aerospace Engineering, or a related field Strong first-principles command of vehicle dynamics (e.g. tire modeling, load transfer, kinematics, and frequency response). Experience with vehicle dynamics CAE development tools, such as Dymola, IPG CarMaker, MSC Adams Proven ability to look at complex, multi-dimensional data and extract clear actionable insight Programming experience with Python or a similar scripting language Ability to translate highly technical data into concise summaries and actionable recommendations for cross-functional partners. Bonus Qualifications Master’s or PhD in Mechanical Engineering with a focus on dynamics or controls. Hands-on physical testing experience (proving grounds, Formula SAE, or professional motorsports). Experience with DOE/optimization workflows Strong programming experience: Python, C+ Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Peak Energy Job Title: Senior Manufacturing Quality Engineer Location: Burlingame, CA Department: ESS Manufacturing Engineering Position Type: Full-time About the Company Peak Energy is the first American venture to advance globally proven Sodium-Ion battery systems as the storage standard for the new era of renewable energy on a resilient grid. Sodium-Ion is cheap, readily available and safe, making it the leading contender in a rapidly evolving market. Our leadership team is powered by decades of expertise in scaling gigawatt-level innovation at world-class companies such as Tesla, Northvolt, SunPower, Fluence, and Enovix. We are backed by strategic investment and product partners such as TDK Ventures and Eclipse Ventures. We are a team of engineers, operators, entrepreneurs, and partners driven by a shared ambition to set the new performance standard for renewable energy and grid resilience. About the Job: Peak Energy is looking for a Manufacturing Quality Engineer to establish and lead quality engineering at Peak Energy from the ground up. The Manufacturing Quality Engineer will be responsible for establishing foundational quality systems, driving PFMEA and in-process quality controls, and managing supplier and incoming component quality. They will work closely with engineering, operations, and leadership to define the standards and processes that ensure our battery systems are safe, reliable, and ready for customer deployment. Responsibilities: • Conduct rapid assessments of current build processes, failure modes, and risk areas, identifying the highest-priority gaps in quality and safety coverage., • Own and continuously improve the PFMEA process with cross functional review and approval., • Establish an IQC framework, develop supplier qualification criteria, and begin laying the groundwork and systems for supplier quality., • Collaborate closely with design and engineering to surface high-risk product failure modes early, bringing quality thinking into design reviews before issues become build problems., • Define control, verification, and sampling plans to ensure part quality meets requirements in both development and on-going production., • Define and track key quality metrics; drive corrective and preventive action (CAPA) processes., • Advocate for quality in a fast-paced, production-driven environment., • Build the quality organization as the company scales., • Drive field investigations and customer-facing quality responses. Minimum Qualifications: • 5+ years of quality engineering experience, ideally in battery, EV, power electronics, or adjacent hardware manufacturing., • Hands-on experience running or contributing to PFMEA processes, with strong working knowledge of RPN prioritization and risk mitigation strategies., • Experience establishing quality systems in an early-stage or resource-constrained environment., • Familiarity with battery-specific failure modes (cell-level, pack-level, thermal, BMS-related)., • Experience leading field failure investigations, including root cause analysis, cross-functional problem solving, and solution implementation., • Working knowledge of IQC processes and supplier quality management., • Strong communication skills and the ability to influence without authority and navigate tradeoffs between quality and speed., • Eligible to work in the U.S. Preferred Qualifications: • Experience shipping a product from prototype phase through to customer deployment., • Exposure to relevant standards (ISO 9001, IATF 16949, UL, IEC 62133, UN 38.3)., • Familiarity with safety risk assessment frameworks for battery production environments., • Experience building and leading a quality team. Our Core Values Speed Through Focus - Move fast but understand why. Focus on the goal, don't sacrifice quality. Mission Over Self - It's about the greater good; confident humility. Take ownership and accountability. Face the Brutal Truth - Transparency, honesty, big picture curiosity. Fearless decision making. Be a Good Person - Kindness, collaboration and teamwork Compensation and Benefits The salary range for this role is $140,000 - $190,000, with actual pay varying based on work location, experience, and skills. Our competitive benefits package includes flexible time off, comprehensive medical, dental, and vision coverage, a strong 401(k) plan, and equity opportunities. Join us to thrive in a supportive environment while making a meaningful impact in the energy sector! At Peak Energy Technologies Inc., we believe that a diverse and inclusive workplace makes us a more capable, innovative, and competitive company. We welcome people who represent diversity in their backgrounds, ethnicities, cultures, and experiences. Peak Energy Technologies Inc. is an equal opportunity employer, aiming to reach our company's full potential by cultivating an inclusive workforce. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, citizenship, marital or family status, disability, gender identity or expression, veteran status, or any other legally protected status.

Job DescriptionThe Offline Driving Intelligence team is responsible for developing Foundation Models for ML Agents and planning, applying them off-vehicle to provide generalization capabilities to simulation and validation. Our team collaborates closely with the Planner, Simulation and Validation teams to develop and validate our driving performance. As an ML Agents and Planning Machine Learning Engineer you will work on the bleeding edge of the industry, developing novel machine learning pipelines and models to predict the behavior of other agents in the world and planning the best course of action for the ego vehicle.In this role, you will... • You will develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for human-like agents., • You will work on novel techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort and realism., • You will contribute to our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field, • You will develop metrics and tools to analyze errors and understand improvements of our systems, • You will collaborate with engineers on Perception, Planning,Simulation, and Validation to solve the overall Autonomous Driving problem.Qualifications, • PhD degree in computer science or related field +1y of professional experience (top tier publications can remove the need for the year of experience) or, MSc +5y of professional experience in a relevant field., • Experience in Planning and / or Prediction using Reinforcement Learning techniques, • Experience with training and deploying transformer-based model architectures, • Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines, • Fluency in Python with a basic understanding of C++Bonus Qualifications, • Top tier publications (NeurIPS, ICML, CVPR)There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group—57,000+ engineers in 30 countries—we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you'll collaborate on some of the world's toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow. About the Role We are looking for a hands-on Electrical Engineer to support the design, integration, and validation of operational equipment and drivable-concept systems used to operate autonomous vehicles in non-autonomous modes. This role bridges electrical hardware, low-voltage systems, and vehicle integration supporting everything from external control devices to in-vehicle driver-interface components. The ideal candidate is adaptable, understands how LV electrical systems behave in real vehicles, and can take electrical hardware from concept to implementation. What You'll Do • Design, integrate, and validate electrical operational equipment (e.g., remote controllers, safety switches, auxiliary control interfaces), • Support "drivable concept" integration, adding EE components such as instrument clusters, accelerator/brake signal interfaces, and other driver-assist electrical elements, • Create and review low-voltage schematics for added subsystems and ensure proper interfacing with vehicle networks and power distribution, • Debug, prototype, and resolve electrical issues during bench and in-vehicle testing 5, • Collaborate cross-functionally with mechanical, controls, wiring, and integration teams to ensure safe, reliable implementation What We're Looking For • Bachelor's degree in Electrical Engineering or related field, with 3–5+ years experience in automotive, robotics, or embedded systems, • Strong understanding of low-voltage electrical design, component selection, and schematic interpretation, • Ability to integrate EE devices into complex vehicle systems and troubleshoot real-world electrical issues, • Comfortable building prototypes, working hands-on, and supporting fast-paced engineering development, • Effective communicator who works well across hardware, controls, and integration functions Bonus / Nice to Have • Experience with wiring/harness design tools (Capital, CATIA/3DX), • Familiarity with automotive networks (CAN, LIN) and driver-interface hardware, • Experience developing or supporting special equipment, test fixtures, or custom electrical assemblies Salary Range: $110,000-$120,000/K The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience ALTEN Technology is an Equal Opportunity Employer. Our Policy is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Please beware of job seeker scams and see this important notice on our careers page for more information about our recruiting process. Compliance Notice: Alten USA is a federal contractor subject to the requirements of the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and Executive Order 11246. We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Drug Screening Requirement: As a federal contractor, Alten USA maintains a drug-free workplace. All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.

Job Description AV Safety Data Engineer (Contract) The Safety Strategy Operations team is responsible for developing and implementing safety processes from comprehensive safety planning and risk management to operational safety in the field, data analysis, and regulatory reporting, ensuring autonomous vehicles operate safely and meet all federal and state compliance requirements. This role will be pivotal in evaluating and improving the behavioral safety and hardware performance of our autonomous vehicles by leveraging fleet and simulation data. We analyze fleet data to identify critical safety events, evaluate system behavior, and refine strategies that directly influence how our vehicles behave in complex environments. As an AV Safety Data Engineer, you will play a critical role in developing and maintaining robust data infrastructure to surface safety-relevant interactions, assess AV events, and inform autonomy development through data-driven insights. You will build scalable pipelines and metrics that ensure we receive strong, reliable signals from data, directly influencing how we assess system readiness and accelerate safe deployment, while also supporting the crucial task of event triage and analysis. In this role you will: Develop and maintain miners that identify events of interest from fleet and simulation data. Improve the accuracy and efficiency of existing miners through advanced statistical and ML techniques, ensuring high signal quality. Build scalable data pipelines and dashboards to monitor miner performance, signal quality, and key safety metrics. Conduct exploratory data analyses to uncover trends, failure modes, and opportunities to improve vehicle behavior, specifically focusing on critical safety events and system anomalies. Triage and assess AV events including both system behavior and hardware related anomalies, for potential safety/legal/regulatory concerns or system gaps, using contextual judgment grounded in safety, legal, and engineering principles. Develop and maintain clear triage guidelines and criteria for both onshore and offshore triage teams. Support regulatory reporting processes by providing data and analysis as needed. Qualifications Masters Degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative or Engineering field such as Transportation Engineering, Systems Engineering, Civil Engineering, Mechanical Engineering, or Electrical Engineering. 6-8 years of experience working with safety-critical systems in AV, Automotive, Transportation Engineering, or a closely related industry. Strong programming skills in Python and SQL. Experience with large datasets and distributed data processing frameworks (e.g., Spark, Databricks). Strong data engineering skills, including data wrangling and expertise in building maintainable, scalable, and efficient data pipelines. Familiarity with statistics and probability, and experience with sampling and estimation methodologies. Proven ability to design metrics, run analyses, and translate findings into actionable recommendations. Strong understanding of behavioral safety concepts and the ability to interpret vehicle behavior in real-world contexts, along with knowledge of AV requirements, road user behavior, and traffic regulations. Experience working with cross-functional teams and clearly communicating technical content to both engineering and non-technical audiences. Strong organizational skills with attention to detail, especially in process development and documentation related to data pipelines and safety analysis. Bonus Qualifications PhD in Engineering or a related technical field. Prior experience with AV safety or system behavior triage. Experience with geospatial data analysis. Experience with business intelligence tools (e.g., Looker) to support analysis. Familiarity with ISO 26262 or other functional safety standards Benefits Health Care Plan (Medical, Dental & Vision) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Training & Development Retirement Plan (401k, IRA) Free breakfast and lunch

Job DescriptionZoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. We are seeking a highly motivated V&V software development engineer in test (SDET) to join this systems-engineering department. As a V&V SDET, you will be a technical lead, owning the end-to-end validation strategy for critical safety systems while architecting and implementing the advanced software infrastructure required to verify them. This role is coding-intensive, focused on building solutions for high-fidelity testing, scalable automation frameworks, and sophisticated data analysis tools to ensure successful compliance to requirements and mission success. Some examples of tools this role supports: • Framework for event definition, orchestration, and verification, • High-performance C++ and Python-based emulators for vehicle sensors (e.g., Radar, Lidar, and Inertial Measurement Units) to enable realistic, real-time fault injection, • Robust communication bridges between simulation environments and physical vehicle hardware, • Automating test management and reporting within lifecycle management tools, e.g. Polarion, JAMA, DOORS.In this role, you will:, • Lead the design and maintenance of large-scale event-driven software/hardware -in-the-loop (SIL/HIL) testing frameworks, utilizing advanced software patterns to improve modularity and reduce code duplication., • Architect and manage end-to-end continuous integration (CI) pipelines to automate the execution of regression suites., • Lead root cause analysis for complex system-level failures, developing log mining scripts and visualization dashboards (e.g., Grafana, SQL-based notebooks) to triage failures and track performance metrics., • Perform gap analyses between high-level safety requirements and technical test implementations, including the development of intricate timing and prioritization patterns.Lead end-to-end validation and clearance process for safety-critical monitors, such as for collision detection systems.Qualifications:, • Good technical communication skills, with the ability to summarize complex test failures and provide clear impact assessments for our tests, tools, and pipelines., • Demonstrated experience delivering complex projects in Python, including the use of AI-based coding, such as for infrastructure development, tooling and automated test writing., • Deep understanding of HIL and SIL methodologies, including real-time fault injection, • Ownership from design, to implementation and maintenance of automated testing pipelines (e.g., using Bamboo, Jenkins, or similar) and developing custom automation plugins., • Practical knowledge of Linux internals and networking protocols used in high-throughput real-time systems., • Bachelors or higher degree in Mechatronics Engineering, Computer Science or a relevant technical field, such as Data Science or Electrical Engineering. 7+ of experience in the above, with demonstrated ownership of 3+ complex projects Bonus Qualifications: • Strong C++, • Pytest customization experience, • Background in autonomous systems or safety-critical robotics validation., • Experience applying Generative AI or Machine Learning tools to code, audit and improve test coverage and documentation., • Experience with data engineering tools like SQL, pyspark, Looker or, • Databricks for large-scale performance analysis., • Experience with real-time communication protocols (e.g., DDS, I2C, SPI, CAN, GMSL2).Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Position Summary Cellares is seeking a Senior Electrical Engineer passionate about electrical design and automation who will contribute significantly to the development of our advanced cell therapy manufacturing platform. The position will be focused on electrical systems within cell therapy manufacturing equipment, including design, documentation, and validation of control panels, PCBAs, and interconnecting cabling. You will interface across many parts of the company to develop novel products used in the cell and gene therapy world, and will have the opportunity to grow your career under the mentorship of a top-notch cross-functional engineering team. Candidates should enjoy working in a fast-paced, mission-driven environment and be prepared to tackle a broad array of challenges as the company grows Responsibilities Lead electrical design for complex automation equipment, ensuring compliance with relevant regulatory and safety standards such as IEC 61010, NFPA 70/79, and UL 508A Design power and signal distribution throughout industrial equipment using control panels, cables, PCBs, and off-the-shelf assemblies Document Electrical designs in schematic, interconnect, and layout drawings in a formal Product Lifecycle Management paradigm Assist with the development of functional requirements and specifications Design and implement test benches to support prototyping and characterization Participate in design reviews and provide input to identify issues and drive design choices Collaborate with controls, mechanical, systems, and software engineers Requirements Bachelor’s degree in Electrical Engineering and at least 7 years of experience, or a Master’s degree with at least 5 years of experience Experience working on projects incorporating electrical and mechanical components, and general exposure to different types of sensors and actuators Solid understanding of AC and DC power distribution, including circuit protection, sizing, and design for manufacturing Experience integrating PLC hardware platforms such as Beckhoff, Siemens, Allen-Bradley, etc. Familiar with digital communication mediums such as Ethernet, RS-232, RS-485, and how they work at a physical level Hands-on experience in digital and analog electronic circuit design, troubleshooting, and testing Proficient with standard electrical test equipment such as DMM, oscilloscope, function generator, etc Ability to build prototypes, construct electrical panels, perform wiring, and cable routing Self-awareness, integrity, authenticity, and a growth/entrepreneurial mindset Preferred Experience Proficiency with Electrical CAD software such as EPLAN, Zuken, AutoCAD Electrical, Solidworks Electrical, OrCAD, Altium, etc. Proficiency in designing PCB assemblies Experience with a programming language such as Python, Structured Text, Ladder Logic, C# or C Exposure to 3D CAD software such as SolidWorks, Inventor, Fusion 360 Cellares total compensation package contains competitive base salaries, highly subsidized Medical, Dental, and Vision Plans, 401(k) Matching, Onsite lunches, and Stock options. All displayed pay ranges are approximate, negotiable, and location dependent.This is Cellares Cellares is the first Integrated Development and Manufacturing Organization (IDMO) and takes an Industry 4.0 approach to mass manufacturing the living drugs of the 21st century. The company is both developing and operating integrated technologies for cell therapy manufacturing to accelerate access to life-saving cell therapies. The company’s Cell Shuttle integrates all the technologies required for the entire manufacturing process in a flexible and high-throughput platform that delivers true walk-away, end-to-end automation. Cell Shuttles will be deployed in Cellares’ Smart Factories around the world to meet total patient demand for cell therapies at global scale. Partnering with Cellares enables academics, biotechs, and pharma companies to accelerate drug development and scale out manufacturing, lower process failure rates, lower manufacturing costs, and meet global patient demand.The company is headquartered in South San Francisco, California with its commercial-scale IDMO Smart Factory in Bridgewater, New Jersey. The company is backed by world-class investors and has raised over $355 million in financing. Leveling will be based on overall experience, education, and demonstration of knowledge throughout the interview process. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Zipline Zipline is the world's largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world's largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we've built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people's lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. About the Role As a Service Engineer I on Zipline's Service Operations team, you will provide first-level technical support for grounded aircraft, droids, docks, and related operational systems. Your primary responsibility is to help return assets to service quickly, safely, and consistently by following approved troubleshooting guides, diagnostic workflows, and escalation procedures. This role is designed for technically curious operators who are calm under pressure, disciplined in following procedures, and strong at communicating across teams. This role is not expected to independently resolve highly complex or novel technical issues without support. Instead, success as a Service Engineer I comes from executing documented troubleshooting steps, capturing clear information, coordinating with the right teams, and escalating issues when additional Service Engineer II, Engineering, Maintenance, or Support Operations support is required. You will work closely with Service Engineer II teammates, Software Engineering, Hardware Engineering, Technical Writing, Maintenance, and Support Operations teams to improve troubleshooting documentation, identify process gaps, and help get aircraft and other operational assets back to airworthiness. This is a 24/7 operational support role that directly contributes to Zipline's ability to serve customers around the world. What You'll Do As a Service Engineer I, you will support grounded aircraft, droids, docks, and related operational systems by following approved troubleshooting guides and diagnostic procedures. You will: • Support asset recovery and airworthiness, • Use approved troubleshooting guides, checklists, diagnostic tools, and escalation paths to help return grounded assets to service safely and efficiently., • Execute first-level troubleshooting, • Work through step-by-step troubleshooting workflows created by Software Engineering, Hardware Engineering, Maintenance, and Technical Writing teams. Ensure required steps are completed and documented before escalating issues., • Triage incoming issues, • Review tickets, alerts, logs, and operational reports to understand the issue, determine severity, and prioritize work based on safety, customer impact, and operational need., • Escalate clearly and effectively, • Identify when an issue requires support from Service Engineer II, Engineering, Maintenance, or Support Operations. Provide clear context, completed troubleshooting steps, relevant logs, and recommended next actions during escalation., • Coordinate with maintenance teams, • Create work orders and support smooth handoffs when physical inspection, repair, replacement, or maintenance activity is required., • Document troubleshooting activity, • Accurately record actions taken, outcomes, unresolved symptoms, and lessons learned in the appropriate systems. Ensure documentation supports operational traceability, shift handoffs, and regulatory requirements., • Improve troubleshooting guides, • Provide feedback to Technical Writing, Engineering, and Maintenance teams when guides are unclear, outdated, incomplete, or difficult to execute in real operational conditions. Support 24/7 operations • Participate in shift-based operations, including nights, weekends, holidays, handovers, and incident response workflows as needed to maintain continuous coverage., • Use Zipline operational tools, • Work in systems such as Zerp, Fleet Apps, incident.io, ticketing tools, diagnostic dashboards, and other internal platforms used to monitor, troubleshoot, and return assets to service., • Contribute to continuous improvement, • Identify recurring issues, documentation gaps, tooling friction, and opportunities to make first-level troubleshooting faster, clearer, and more repeatable.What You'll Bring, • Strong execution and follow-through, • You are comfortable working from procedures, checklists, and troubleshooting guides, and you can reliably complete documented steps in high-pressure operational environments., • Technical curiosity, • You are interested in learning how complex systems work, including aircraft, robotics, hardware, software, docks, and fleet operations. You do not need to be an expert in all of these areas, but you should be eager to learn., • Operational discipline, • You understand the importance of safety, quality, compliance, and documentation when working in a regulated or high-stakes environment., • Clear communication, • You can explain what happened, what you tried, what changed, and what help is needed. You are comfortable coordinating with Service Engineer II teammates, Engineering, Maintenance, Technical Writing, and Operations teams., • Basic troubleshooting ability, • You have experience investigating technical or operational issues using guides, logs, dashboards, tools, or documented workflows., • Comfort with ambiguity, • You can stay calm when an issue is unclear, follow the available process, ask good questions, and escalate appropriately., • Documentation mindset, • You understand that accurate notes, ticket updates, and handoff details are essential for operational continuity, safety, compliance, and continuous improvement., • Team-first approach, • You work well across shifts, functions, and time zones. You understand that strong handoffs and shared context are critical in a 24/7 operation.Preferred Qualifications Experience in one or more of the following areas is helpful, but not required: • 2+ years experience with systems thinking - Bachelors degree or higher., • Technical support, service operations, maintenance coordination, aviation operations, robotics operations, hardware support, fleet operations, manufacturing support, field operations, or customer operations., • Experience working with ticketing systems, incident management tools, ERP systems, fleet management tools, or operational dashboards., • Experience following technical documentation, standard operating procedures, maintenance instructions, or troubleshooting guides., • Exposure to aircraft, drones, robotics, electromechanical systems, logistics systems, or complex operational environments., • Experience working in a 24/7 shift-based operations environment., • Experience providing feedback to improve technical documentation, training materials, standard operating procedures, or troubleshooting guides., • Basic familiarity with logs, telemetry, dashboards, or diagnostic tools.What Else You Need to Know The starting cash range for this role is $75,000 - $95,000. Please note that this is a target starting cash range for a candidate who meets the minimum qualifications for the role. Final cash compensation will depend on a variety of factors, including experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include equity compensation, overtime pay, discretionary annual or performance bonuses, sales incentives, medical, dental, and vision insurance, paid time off, and more. This role requires working in 24/7 shift operations, including nights, weekends, and holidays, as part of our continuous coverage model. You may participate in on-call rotations and must be available for rapid response when critical assets are grounded. This position operates in a fast-paced, safety-focused, and highly operational environment. Your work directly supports customer deliveries, asset availability, and Zipline's ability to operate reliably at global scale. This role may require sitting or standing for extended periods while reviewing tickets, monitoring dashboards, conducting troubleshooting, documenting activity, and coordinating with cross-functional teams. Occasional travel may be required for training, certification, or site support activities, approximately 10%. You must be eligible to work in the United States. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex, including pregnancy, childbirth, and related medical conditions, sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or any other characteristic protected by state, federal, or local law or our policies. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure whether you are the perfect fit, we encourage you to apply.

Job DescriptionThe Offline Driving Intelligence (ODIN) team at Zoox is leveraging the latest in AI to craft algorithms that understand the world. We leverage large models first offline and we devise a path of impact into our self-driving robot, enabling safe and efficient navigation in complex environments. As an engineer in the ODIN team, you will develop advanced multimodal large language models that enhance environmental understanding. You'll develop and fine-tune these models for off-vehicle analysis while working with the onboard team to deliver impact in our robotaxi platform, ensuring they can efficiently identify hazards and interpret driving restrictions with minimal latency. Working alongside world-class engineers and researchers, you'll leverage premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions, directly impacting productivity, safety and the capability of Zoox's autonomous system.In this role, you will: • Develop multimodal large language models that enhance our robotaxis' understanding of complex urban environments, • Implement model architectures and sophisticated training techniques, • Build large high quality datasets leveraging all the inputs from our sensor stack and the overall large scale data we have at Zoox., • Drive end-to-end ML solutions from research to production, utilizing Zoox's extensive data pipelines and infrastructure to improve autonomous driving capabilities., • Collaborate with perception, planning, safety, and systems teams to integrate your models into the vehicle's decision-making pipeline., • Validate and optimize your solutions using real-world driving scenarios, directly contributing to the safety and reliability of Zoox's autonomous systemQualifications, • MS or PhD in Computer Science, Machine Learning, or related technical field, • Demonstrated experience training and deploying large language models (LLMs), • Experience building and maintaining ML training pipelines, including data preprocessing, model training, and evaluation, • Proficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projects, • Experience training models with large scale dataBonus Qualifications, • Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA), • Experience with autonomous robotics systemsBase Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout the company At Swift Solar, our mission is to unlock the full potential of solar energy. We believe that solar energy has vast untapped potential to power our lives, fuel economies, and strengthen supply chains, while protecting planetary health in the face of global climate change. The reality is that today's solar technology is good, but not good enough. Swift Solar is making solar better with its breakthrough tandem technology that harnesses the power of perovskite materials to create solar solutions that are not only more efficient than traditional technology but also more versatile, enabling applications ranging from space solar to utility-scale power generation. Swift Solar is a mission-focused startup supported by the US government and backed by world-class investors. It's a long journey to bring a new clean energy technology to market, and we're in it for the long haul, together. Join our extraordinary team building the cutting-edge solar technology that will shape the future of the global solar industry. A night in the life As the night shift's controls technical authority, your mission is to ensure all deposition equipment, controls systems, and facility infrastructure operate reliably overnight — diagnosing and resolving electrical and PLC-related failures safely and communicating to the day shift team when necessary. On a typical night, you might start your 10 PM shift by reviewing handoff notes from the day team, then dive into troubleshooting a Beckhoff PLC-based control system that flagged an alarm during the evening run. You'll review I/O states and control logic, diagnose electrical faults using schematics, and partner with the equipment engineer to replace sensors, valves, MFCs, RF components, or pumps as needed. When a tool goes down, you'll work alongside the equipment engineer to get it back up — supporting mechanical repairs while leading the electrical and controls recovery. You'll also support the equipment engineer on facilities issues that arise overnight, from cooling water interruptions to gas supply problems. When the tools are running smoothly, your nights shift to forward-looking work. You'll design and improve HMI systems for our deposition tools, develop automation routines and algorithms, and build documented troubleshooting trees so the team can resolve common failures faster. You'll implement predictive maintenance checks during off-peak hours, improve PLC alarm clarity and fault diagnostics, and strengthen spare parts readiness for the night crew. Your goal over the first 12–18 months: independently recover 90% or more of tool-down events on your shift, measurably reduce mean time to repair, and consistently leave the equipment in a state that allows process technicians to continue their work uninterrupted into the morning shift. You might be a good fit if you... • Have 5+ years of hands-on equipment engineering experience in a manufacturing environment, • Are a strong electrical troubleshooter who can read schematics and diagnose controls and wiring problems under pressure, • Have experience programming, debugging, and troubleshooting PLC systems (Beckhoff, Allen-Bradley, Siemens, or similar), • Have general EHS and safety knowledge, with the ability to identify safety concerns and troubleshoot solutions on the spot, • Are comfortable working a night shift schedule (10 PM – 6:30 AM) and can hand off findings to the day shift team clearly and effectively, • Are deeply motivated to make an impact on climate changeA very strong candidate might bring one or more of the following..., • Experience with PLC-controlled vacuum or deposition equipment and processes, • TwinCAT / Beckhoff proficiency or other coding and scripting experience, • Facilities troubleshooting experience — chillers, pumps, gas systems, • A background in semiconductor, thin film, or advanced manufacturing, • Prior experience working night shifts in a production or lab environmentThe logistics, • Compensation: Competitive package including salary, equity, and benefits, • Expected Pay Range: $135,000 - $180,000 per year + 15% Shift Differential, • The actual offer, reflecting total compensation and benefits, will be determined by factors such as relevant experience, skills, and other qualifications, • Ideal start date: April - May 2026, • Job type: Full-time, 10pm-6:30am, • Location: San Carlos, CA (Swift Solar HQ)What you'll love about Swift, • Work with purpose: Join our mission to unlock the full potential of solar energy and make a global impact., • Lead with innovation: Be part of an extraordinary team building cutting-edge solar technology - growth mindset; culture, • Thrive with benefits: Have 100% of your monthly premiums for HMO / PPO group healthcare plan options and 75% of your dental and vision insurance premiums covered by us. Employees also benefit from 401(k) matching, clean commuter benefits, and meaningful equity., • Invest in your career: You'll grow your skills, your network, and your perspective at Swift. We'll support you in attending conferences and taking online courses, as long as you share your new insights with the team. We recognize that candidates from underrepresented backgrounds often hesitate to apply if they don't meet all the criteria. If you're excited about this role and believe you can contribute to our team, we encourage you to apply—even if you don't meet every qualification listed. We're eager to meet people from all backgrounds, and your unique skills and experiences could be exactly what we need. If you believe in our mission, but this isn't the right job for you, please check out other career opportunities on our website and email us at careers@swiftsolar.com with any questions. And if you have a friend who would be a perfect fit, send them this link. Thanks! Swift is an equal opportunity employer. We value an inclusive work environment and welcome team members of all backgrounds and perspectives.

Job DescriptionThe AV Safety Software Data Engineer will play a critical role in supporting Zoox’s safety data reporting and compliance efforts. In this position, you will work with large-scale fleet data to gather, analyze, and triage events for internal safety learnings and external compliance requirements. As an AV Safety Software Data Reporting Engineer, you will operationalize defined requirements through data-driven analyses, dashboards, and workflow automations. You will implement innovative processes that are rigorous, diligent, and systematic, as well as applicable and repeatable, as Zoox continues to scale, to ensure reliable and safe operations. You will continually improve our internal data-gathering, analysis, and reporting processes and work closely with our Legal, Policy, Operations, Vehicle Engineering, Safety Design, Software, Hardware, and Communications teams to ensure a rigorous, disciplined, quantified engineering approach. A successful candidate will be able to support other Zoox safety efforts, including Operational Safety, Safety Planning, Policy, System Design, and Risk Assessment activities.In this role, you will: • Create, implement, and maintain our internal and external safety data gathering, analysis, and reporting processes, and work cross-functionally with other internal organizations to ensure accurate regulatory reporting., • Support the implementation of safety learnings & data programs, processes and dashboards for awareness and decision-making, including systematically ensuring representation and input from key internal stakeholders., • Continuously improve data pipelines, triage processes, and dashboard functionality to support efficient safety data reporting., • Leverage AI tools (LLMs/VLMs, prompt engineering, and context engineering) to assist with event summarization, semi-automated triage, and workflow automation., • Support the continuing development and implementation of successful operational safety and compliance programs., • Design, build, and maintain dashboards in Looker and Databricks to track safety data reports, learnings, and feature implementation.Qualifications, • BS or MS in Computer Science, Data Science, Robotics, Statistics, or a related field., • 4+ years of experience working with large-scale datasets, preferably in autonomous vehicles, robotics, or other safety-critical systems., • Strong programming skills in Python (pandas, PySpark) and advanced SQL/Spark query development., • Experience designing and maintaining dashboards in Looker, Databricks, Tableau, or similar platforms., • Demonstrated attention to detail in analyzing technical, engineering or forensic data., • Familiarity with AI tools (LLMs/VLMs, prompt engineering, context engineering) for data analysis, triage, or workflow automation., • Experience working with cross-functional teams and communicating technical content clearly to both engineering and non-technical audiences.Bonus Qualifications, • Experience with NHTSA SGO, TREAD, or State AV reporting requirements, • Experience in automated vehicle systems or diagnostic data or large-scale fleet data, • Understanding of AV stack components and vehicle behavior, • Advanced degree in Engineering, or in a technical field, • Certification in Safety or Automotive systemsBase Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Zipline Zipline is the world's largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world's largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we've built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people's lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. About Zipline Zipline is the world's largest autonomous delivery system, built to provide fast, reliable access to medicine, food, and other essential goods. We design, build, and operate high-performance logistics systems that serve customers across healthcare, retail, and government on four continents.Our Manufacturing Engineering team builds the production systems that turn complex designs into reliable, scalable hardware. We are looking for engineers who like solving practical problems, moving quickly, and building equipment that works in the real world. About You and the Role We are looking for a Senior Production Test Engineer to own the electrical, functional, and automated test equipment used to build and validate Zipline products at scale. This role is focused on production test systems for the factory floor. You will design, develop, deploy, and sustain testers that verify electrical, electro-mechanical, and mechatronic assemblies before they move downstream or ship to the field. Typical projects may include functional test stands, end-of-line testers, electrical harness testers, sensor and actuator test systems, calibration stations, data acquisition systems, automated fixtures, and production test software. You will work closely with Manufacturing Engineering, Electrical Engineering, Software, Quality, Technicians, and Operations to create test systems that are reliable, fast, easy to use, and capable of scaling to high-volume production. You will own projects from requirements definition through architecture, electrical design, fixture design, software development, vendor build, debug, validation, production release, and ongoing improvement. What You'll Do • Own production test equipment for aircraft, dock, delivery pod, and subassembly builds, from concept through production sustainment., • Design and deploy electrical testers, functional testers, automated test equipment, calibration stations, and end-of-line test systems., • Develop tester requirements, test coverage, pass/fail limits, instrumentation strategies, and validation plans in partnership with design and quality teams., • Build or specify test hardware, including electrical interfaces, harnessing, DAQ systems, sensors, actuators, power supplies, safety circuits, and mechanical fixtures., • Develop production test software and automation scripts for reliable, repeatable, and high-throughput testing., • Integrate testers with factory systems where needed, including data logging, traceability, MES workflows, and production dashboards., • Improve test yield, cycle time, uptime, false-fail rates, debug efficiency, and operator usability., • Troubleshoot production issues directly on the floor, including electrical failures, tester instability, software bugs, fixture issues, and product/tester correlation gaps., • Drive test system validation, including GR&R, correlation studies, golden-unit strategies, capability studies, and production readiness., • Work with vendors and internal teams to fabricate, assemble, debug, install, and qualify production test equipment., • Create documentation for test procedures, equipment operation, maintenance, calibration, troubleshooting, and change control., • Identify opportunities for automation, standardization, and scalable tester architectures across production lines.What You'll Bring, • 7+ years of experience developing production test systems, automated test equipment, functional testers, or electrical test platforms., • Bachelor's degree in Electrical Engineering, Mechatronics, Mechanical Engineering, Computer Engineering, or a related field., • Strong electrical and systems fundamentals, including instrumentation, signal integrity basics, power systems, sensors, actuators, harnessing, and PCBA-level debug., • Experience designing and deploying testers for electro-mechanical or mechatronic products in a production environment., • Strong software skills for test automation; Python preferred, with experience in tools such as LabVIEW, TestStand, C/C++, or similar a plus., • Experience with common communication interfaces such as CAN, UART, Ethernet, USB, I2C, SPI, or other embedded/product interfaces., • Familiarity with DAQ hardware, oscilloscopes, DMMs, power supplies, electronic loads, relays, motion control, pneumatics, and safety systems., • Experience supporting high-volume or highly automated manufacturing environments, ideally with a focus on uptime, throughput, and repeatability., • Understanding of production test metrics such as first-pass yield, false fail rate, tester utilization, cycle time, GR&R, and test coverage., • Ability to root-cause complex issues across product hardware, test software, electrical interfaces, fixtures, and manufacturing process variables., • Experience working cross-functionally with electrical, software, manufacturing, quality, operations, technicians, and external vendors., • Strong documentation and communication skills, with the ability to make test results, tradeoffs, and risks clear to technical and non-technical teams., • High ownership, strong judgment, and willingness to spend significant time on the manufacturing floor solving problems. What Else You Need to Know The starting cash range for this role is Salary range: $125,000 - $170,000.00. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. We are always open to negotiation. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply! If you'd like to learn more about Zipline and our teams, feel free to check out our Instagram, one of our Reddit AMA's, or our website!

Job DescriptionAbout Zipline Zipline is the world's largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world's largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we've built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people's lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. About You and The Role As a Remanufacturing Lead at Zipline, you'll be responsible for restoring used hardware into flight- and test-ready condition—owning the systems, tools, and team that make it happen. You'll lead a group of technicians, set up rework and test processes, and work cross-functionally with design, test, and manufacturing teams to keep our fleet moving and scalable. This is a high-ownership, fast-paced role for an engineer who thrives on hands-on problem solving, building from first principles, and leveling up a team. What You'll Do • Lead daily operations for hardware rework and refurbishment, • Manage and train a technician team to hit throughput, quality, and safety goals, • Create and own rework processes, test setups, and supporting documentation, • Partner with Design and Test Engineering to improve reworkability and identify new salvage opportunities, • Drive continuous improvement to increase speed, quality, and hardware yield, • Monitor and report key performance metrics: quality, cycle time, downtime What You'll Bring • At least 3+ years of experience in Mechanical, Electrical, or Manufacturing Engineering (or related field), • Hands-on engineering and process development experience in a hardware environment, • Proven track record leading technician teams in a production, RMA, or rework setting, • Strong technical literacy: able to read and interpret schematics, mechanical drawings, and technical documents, • Experience collaborating with engineering to debug, retest, and improve real-world hardware, • Excellent communication, documentation, and organizational skills, • Grit, curiosity, and the drive to own problems end to endOther Requirements, • Ability to lift up to 20 lbs and perform hands-on work throughout the day, • Comfort working with tools, chemicals, and hardware in a lab/manufacturing environment (including respirator use when required)What Else You Need to Know The starting cash range for this role is $100,000 to $140,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies.We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!

Job DescriptionAbout Zipline Zipline is the world's largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world's largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we've built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people's lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. About the Role Zipline's autonomous drone delivery is a marvel of precision engineering—but it only works if the power stays on. We are looking for a hands-on, commercially-minded Electrical Project Engineer to own the "backbone" of our charging towers. You will be responsible for the end-to-end electrical architecture, from the site stub-up to the charging docks. This role requires a rare blend of technical rigor (NEC/UL compliance), physical grit (on-site deployments), and financial strategy. You aren't just designing a system that works; you are designing a system that scales globally and fits the budget. What You'll Do • System Architecture & Harnessing: Design the power distribution and cable harnesses for P2 charging towers. You will document and manage complex wire runs between docking stations and the site stub-up (RapidHarness or NX)., • Financial Ownership: Own the Bill of Materials (BOM) for the tower's electrical systems. You will perform trade-off analyses (e.g., material choices, routing efficiencies) to drive down costs without compromising safety or reliability., • Regulatory & Sign-off: Lead the process for getting designs and sites signed off by Authorities Having Jurisdiction (AHJs). You will be the primary voice ensuring our towers meet NEC standards and are certified as UL-listed raceways., • Design Advocacy: Build and present reasoned, data-backed arguments to compare design iterations. You should be able to defend why one architecture is superior to another based on cost, ease of deployment, and long-term reliability., • Deployment & Field Work: This isn't a "desk-only" job. You will support on-site work during deployments, ensuring that theoretical designs translate perfectly to real-world installation.Qualifications, • The "Heavy Lifting" Experience: You have hands-on experience pulling 1-inch diameter power cables and understand the physical reality of bend radii and conduit constraints., • Industrial Power Experience: Professional experience designing industrial electrical systems (UL508a, UL67), heavy machinery wiring, or complex infrastructure projects., • Hands-on Grit: You aren't afraid to get your hands dirty. You have experience pulling 1-inch diameter power cables and understand the physical constraints of bend radii and conduit fill., • Code & Compliance Mastery: Expert-level knowledge of the National Electrical Code (NEC) and experience navigating UL certification processes for industrial equipment., • System Design (No PCBAs): Your expertise lies in power distribution panels, conduits, wire trough, industrial ethernet cable design, and site-level electrical stubs rather than board-level electronics., • Harnessing Software: Proficiency in RapidHarness (or other) for designing and managing ruggedized, outdoor-rated cable assemblies., • Strategic Thinking: A proven ability to perform financial trade-off studies. You know how to calculate the ROI of a design change and can articulate those savings to leadership.Nice to Have, • Mechanical CAD: Ability to navigate and perform basic design tasks in Mechanical CAD to ensure electrical components fit seamlessly into the tower structure. Project Management: Experience managing contractors or field technicians during the "stub-up" and infrastructure phase of a project. What Else You Need to Know The starting cash range for this role is $145,000 – $225,000. Please note that these are starting salary ranges that represent multiple internal levels. The final cash pay will depend on experience, qualifications, skills, location, and projected impact. Total compensation will also include equity, incentives, and benefits such as medical, dental, vision, paid time off, and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. We value diversity at Zipline and welcome applications from those traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply. If you'd like to learn more about Zipline and our teams, feel free to check out our Instagram, one of our Reddit AMAs, or our website.

Job DescriptionZoox is on an ambitious journey to develop and safely deploy a full-stack autonomous mobility solution for cities. We are seeking a Senior / Staff Systems V&V Engineer to join the Platform Safety Assurance team within the System Design and Mission Assurance (SDMA) team, applying sound systems and verification engineering to fail-safe and fail-operational behaviors to realize this mission. At Zoox, we take systems engineering seriously and know that your efforts will be critical for delivering a driverless robotaxi service at scale. In this role, your work will directly impact our fleet’s safety and fail-operational capabilities through your efforts on the compute-platform safety case.In this role, you will: • Collaborate closely with system safety, perception, firmware, vehicle controls, and planning engineering teams to understand and review vehicle response strategies for compute platform fault conditions from all potential sources, • Design and direct system-level V&V campaigns, establish novel testing methodologies and metrics to ensure the robotaxi meets end-to-end safety and fail-operational requirements for Zoox milestones including highway-driving, • Apply expertise in verification and validation to the compute-platform safety case, accelerating new platform development, and establishing robust fail-safe and fail-operational behaviors. Qualifications, • BS or higher degree in a relevant technical field, such as Electrical, Computer, or Systems Engineering., • 8+ years of professional experience., • Demonstrated experience in any of the following: verification and validation, functional safety and diagnostics, system and component testing, Hardware-in-the-Loop (HIL) and vehicle testing., • Proficient in Python for data analysis., • Basic proficiency with probability and statistics, • Data Analysis and Metrics: Lead data collection and analysis campaigns, defining and validating system performance metrics, driving automation initiatives for analysis and process optimization.Bonus Qualifications, • Risk and Reliability: Experience with quantitative risk analysis or statistical reliability analysis., • Fault Protection: Fault protection system design and validation., • Functional Safety Standards: Familiarity with ISO 26262, ARP 4754, ARP 4761, or IEC 51511.Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Zipline Zipline is the world's largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world's largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we've built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people's lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. ABOUT YOU AND THE ROLE Does the prospect of a society-altering challenge - transitioning a first-of-its-kind autonomous robotic system from prototype to volume manufacturing - sound like the type of work that gets you out of bed in the morning? Can you cut through the fog of multiple, competing priorities to focus on the most critical steps required to accomplish both immediate and long-term goals? Are you undeterred by the authority and responsibility that comes with a critical leadership position? If this excites you, you're who we're looking for! This is an in-person role based out of our HQ in South San Francisco requiring 40-60% traveling to and managing critical partners in Asia and North America. WHAT YOU'LL DO In this highly visible role, you will own component development qualification activities at suppliers and interact with Engineering, Strategic Sourcing, Integrated Planning, and Manufacturing Operations teams to scale Zipline's manufacturing footprint. • Plan, organize, direct and conduct industrialization related activities within the Design Engineering , Manufacturing, Material Planning, New Product Introduction (NPI) and Supply Chain teams., • Participate in Supplier Design for Manufacturability (DFM) reviews, guide suppliers in efficient use of poka-yokes, best methods of gauging, and correct tools or assembly equipment to use. Provide feedback to Zipline Design teams to ensure alignment and incorporation of feedback during validation build phases and into mass production., • Lead, track and improve Supplier manufacturing process development and launch readiness for design changes, new products and outsourcing initiatives., • Lead and implement Supplier improvements in scalability, cost, and quality., • Guide Suppliers in developing exceptionally robust processes and procedures to promote seamless and efficient production of high quality electrical components., • Facilitate communication and clarification of technical requirements between Suppliers and Zipline's Design, Internal Quality and Procurement teams. Collaborate with Zipline Design, Internal Quality and Manufacturing/NPI to determine ideal performance specifications and Supplier metrics., • Drive improvements utilizing Lean methodologies, Statistical Process Control (SPC), and supplier scorecards., • Own should-cost modelling and support GSM in pricing/negotiations. WHAT YOU'LL BRING • You have worked for a minimum of 8 years in a fast paced and high growth environment as a Supplier Quality Engineer, Supplier Development Engineer, or Supplier Industrialization Engineer, Manufacturing Engineer, Process Engineering., • You have successfully launched into volume production complex mechanical / electromechanical components and assemblies from prototype through mass production stages., • You have actively participated in product design efforts and thus know what it takes to transition from prototype to volume production (CAD system experience like Nx, Catia, Solidworks is a bonus)., • You have worked with an established Quality System and applied it to improve your supply base (applicable standards are AS9100/ISO9001/IATF16949)., • You have achieved measurable results with implementing Product Quality Planning with part suppliers and contract manufacturers, both domestic and overseas (applicable examples are Advanced Product Quality Planning, Production Part Approval Process, Process Failure Modes and Effects Analysis, SPC), • You can thrive in structured and unstructured environments and are not dissuaded at the prospect of making hard decisions about what is important and urgent against a backdrop of limited resources. Major Bonuses • Japanese-fluent or native speaker, • You are a first principles problem solving - you understand the value of methods such as 8D, 5-WHY, Pareto Charts and Fishbone Diagrams because you have achieved measurable results by using them and influencing others to do the same., • Technical expertise in at least several of the following disciplines: Motor manufacturing (Lamination, Winding, Magnets, etc), injection molding with mold flow simulation, machining , inspection fixture design, GD&T, metrology (CMM/OMM programming and inspection), manufacturing line setup , electro-mechanical assembly & testing etc, • Experience managing vendors in various geographies with a strong understanding of what manufacturing excellence looks like across a variety of processes. Demonstrated ability to walk into a new potential supplier and rapidly assess industrialization capability, reliability and quality, and safety, • You have a good understanding of and have successfully implemented the correct gated controls within a product development process and achieved the intended results., • You have strong project management skills with demonstrated ability to drive aggressive timelines with key stakeholders internally and externally.What Else You Need to Know This role will require travel 40-60% of the time to visit Suppliers, and Zipline will work together with you to make sure that this is possible. The starting cash range for this role is $150,000 - $200,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities.

Job DescriptionZoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and deploy such a robotaxi solution safely and reliably. We are seeking a System Safety Engineer to perform safety analyses of complex electronic and software-based-systems, specifically high performance compute. The ideal candidate will be on the Zoox's System Design and Mission Assurance (SDMA) team to identify opportunities to improve, adapt, and generally refine our safety concept, safety mechanisms to detect and mitigate hardware failures, and residual risk assessments, ensuring the safe deployment of autonomous driving technology.In this role, you will: • Execute and own the output of the Compute Safety Analysis (FMEDA) for various compute platforms for each milestone, • Respond to and aid in Root Cause Analysis (RCA) for safety-related Compute Platform field failures, • Collaborate with partner teams to improve diagnostic coverage against single point and multiple point latent failures on our existing hardware platform., • Work with other SDMA engineers to ensure requirements are well captured and structured to account for runtime and latent failures in the sensing, perception and compute path, • Perform functional safety analysis to ensure the safety concept remains compatible with the core objectives of ISO 26262, • Work with partner teams to develop safety- and cost-optimized, next-generation compute architectures. Guide the selection of next-generation compute and related hardware., • Lead cross-functional technical projects, including interactions with teams such as Software, Hardware, Operations, Data Science, V&V to ensure we have the appropriate data to support our arguments and solutions that can meet our requirementsQualifications, • BS or MS in a related technical field, such as Electrical/Electronics Engineering, Computer Engineering, Mechanical Engineering, Computer Science, Robotics, Mechatronics, etc., • Experience as a Design or Systems Engineer for complex or mission-critical systems with high levels of fail-operational redundancy, • 3+ years of hands-on systems, safety, or related engineering experience with a focus on analysis of safety critical high-integrity systems in Automotive, ADAS, Autonomous vehicles, Aerospace or Robotics industries, • Effective communication and collaboration skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.Bonus Qualifications, • PhD in a related technical field, • Experience in the application of ISO 26262 (Functional Safety) and ISO 21448 (SOTIF) to L2/L3/L4/L5 ADAS and autonomous vehicles, • Experience with FMEDA or FMEA for complete safety critical systems, • Experience with hazard analysis, functional decomposition, validation, and verification, • Experience in systems with multiple layers of redundancies (including but not limited to SIL 4 / DAL A), • Experience with simulation and modeling of physical hardware/software systems or data-driven modeling and analysis techniques, • A reliability modeling background including the analysis of field data, • Experience using requirements management tools such as Polarion (preferred), DOORS or Jama, • Experience with Python and/or Databricks for data analysis and visualizationBase Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Us Agtonomy is pioneering advanced automation and AI solutions to transform agriculture and beyond. Initially focused on specialty crops, our TeleFarmer™ platform addresses labor-intensive needs with automation, turning conventional equipment into autonomous machines. By partnering with leading manufacturers like Doosan Bobcat, we integrate smart technology into tractors and other machinery, enhancing safety and efficiency. As we expand into ground maintenance and other industrial applications, our expert team continues to address key challenges with labor shortages, sustainability, and profitability across various industries. About the Role We are looking for an enthusiastic System Test Engineer to join our QA team. You will be responsible for ensuring the continued success of Agtonomy’s products as we scale our fleet of robots. You will coordinate with hardware, software, and operations teams to address weaknesses in our product and provide feedback for design improvements. This role will be based at Agtonomy’s South San Francisco facility. This role requires working outdoors in varied weather conditions.What You'll Do • Create, execute, and maintain system validation suites, feature tests, and regression tests, • Build analytics for fault tracking and frequency to provide insight into software release readiness and current reliability of the physical fleet, • Define and drive test automation and HIL simulation testing, • Support customer operations, collect feedback, and resolve any technical issues, • Calibrate and test new vehicles as part of assembly validation, • Work with developers to troubleshoot issues and release new features, • Identify product issues by operating with a critical eye and knowledge of our systems, • Write detailed bug reports and document reproduction scenarios, • Create reports and analyze datasets on product performance, reliability, and maintenance, • Develop and maintain test site infrastructure, • Monitor performance of deployed autonomous vehicles, • Travel up to 25% to customer and other field sitesWhat You'll Bring, • Experience with integration and testing complex software and hardware systems, • Bachelor's degree in Engineering or other technical discipline and 5+ years of experience in a professional and product-driven environment, or 8 years of professional experience integrating and testing complex systems, • Experience working hands-on with electrical and mechanical components, • Experience with issue & project tracking software (i.e., JIRA or Linear), • Ability to communicate with customers in a professional manner, • Strong communication skills, • Curiosity to learn about new technologyWhat Makes You a Strong Fit, • Experience with agriculture, land maintenance, and heavy machinery., • An understanding of electric vehicles and software testing, • An understanding of networking technology, • Experience or basic understanding of how permanent crops are grown, • Ability to drive a truck and trailer with heavy equipmentThe US base salary range for this full-time position is $100,000 to $140,000 + equity + benefits + unlimited PTO The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, internal equity, and additional factors, including, but not limited to, job-related skills, experience, and relevant education or specialty training. Your recruiter can share more about the specific salary range during the hiring process.Benefits: • 100% covered medical, dental, and vision for the employee (cost plus partner, children, orfamily is additional)• Commuter Benefits• Flexible Spending Account (FSA)• Life Insurance• Short- and Long-Term Disability• 401k Plan• Stock Options• Collaborative work environment, working alongside passionate mission-driven folks! Our interview process is generally conducted in four (4) phases: 1. Phone Screen with People Operations (30 minutes)2. Video Interview with the Hiring Manager (45 minutes)3. Panel Interview (Video interviews scheduled with key stakeholders, each interview will be 30 to 45 minutes)4. Final Interviews (CEO, CFO, VP of Engineering, 30 minutes each)

Job DescriptionOverviewLightship is the first American all-electric recreational vehicle manufacturer currently developing an aerodynamic, battery-powered trailer for the electric age. As the macro transition to an all-electric transportation ecosystem accelerates, Lightship is bringing the increased convenience and superior performance that electrification offers to a pastime enjoyed by over 11 million American families. Honoring Diverse PerspectivesLightship is committed to hiring and developing top talent from diverse backgrounds. We believe representing and supporting diverse groups is key to the success of our team members, customers, shareholders and the achievement of our mission and vision. We operate in a collaborative environment with a flat organizational structure and expect a high degree of integrity, autonomy and creativity from all members of the team. About the Role Lightship’s mission to modernize and electrify RVs demands building cutting edge electronics and controls. As a Senior Systems Test Engineer, you will design and implement automated test infrastructure to validate our embedded software and hardware. To succeed, you will develop a strong understanding of how our systems work and how to break them to ensure a high bar of quality for our embedded software systems.Responsibilities • Design and implement Hardware-in-the-Loop (HIL) automated test infrastructure for our embedded systems, • Work closely with software and system owners to develop deep understanding of how our systems work, • Collaborate with cross-functional engineering teams to develop testing coverage requirements, • Author and execute test plans to ensure our embedded systems meet functional and safety requirements, • Root cause test failures and clearly document bugs for tracking purposes, • Support development testing in the lab and in the fieldMinimum Qualifications, • Bachelor’s degree or higher in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience, • Minimum 5 years experience testing software/firmware, • Proven experience in embedded systems test infrastructure, • Proficiency coding in Python, • Experience with test automation and continuous integration, • In-depth knowledge of CAN bus, • Experience working on safety-critical systems, • Self-directed and motivated with the ability to work effectively in uncertain situationsPreferred Qualifications, • Experience with ISO26262 or similar functional safety standard in a different industry, • Experience debugging across communication protocols such as CAN, UART, etc., • Experience working with HIL platforms like dSpace, Speedgoat, VeriStand, etc., • Familiarity with Simulink and MATLAB for model-based HIL testing, • Ability to read electrical schematics and datasheets, • Proficiency coding in C/C++, • Proficient with basic lab tools (multimeter, oscilloscope, soldering iron, etc.), • Experience with test and automation frameworks (e.g. Jenkins, Pytest, TestRail, etc.), • Experience working on high voltage and/or propulsion systems, • Basic understanding of microprocessors and associated peripherals, • Experience with startup or other small company environment EquityLightship compensation consists of the yearly salary above plus equity, which gives you a stake in the company.Onsite/Hybrid Work Hybrid roles at Lightship require onsite work from our offices Monday, Wednesday, and Thursday. Tuesdays and Fridays are optional work from home days, when your work will be executed more successfully from home. Speak to the hiring manager to learn more. Employee Benefits & Philosophy - Applies to Full Time Employees only- Healthcare, Dental, Vision- 401k - Flexible Paid Time Off - that we actually want you to use!- 8 Company Holidays + the company observes a period of scheduled downtime during the end of the year for a week, allowing all employees to enjoy a break- 12 weeks paid parental leave- $2,000 per year towards an RV trip of your own &/or professional development opportunities - we call this a LightTrip Lightship offers all of its full time employees and their dependents full benefits including health, dental and vision insurance and covers 100% of the insurance premium. We are on a mission to create a more healthful all-electric experience for a pastime that millions of families enjoy and believe strongly that our team should not have to worry about quality healthcare for themselves or their loved ones along the way. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description As a machine learning engineer within the Attributes team in the Perception department, you will take ownership of developing and enhancing sophisticated behavioral models for various road users, including vehicles, pedestrians, and cyclists. Your work will focus on creating and maintaining robust perception attribute models that generate critical signals for our autonomous driving stack. These signals are essential inputs that enable our Prediction and Planning teams to make intelligent, safe driving decisions for our autonomous vehicles. The Attributes team is fundamental to Zoox's autonomous driving capabilities. The models you develop will serve as the foundation for how our vehicles understand and interact with other road users, directly contributing to the safety and effectiveness of our autonomous driving system. By creating reliable and accurate behavioral models, you enable Zoox's vehicles to make smart, safe decisions in complex urban environments, bringing us closer to our goal of revolutionizing urban mobility.In this role, you will... • Lead the development of sophisticated behavioral models for vehicles, pedestrians, and cyclists as a key member of the Attributes team within Zoox's Perception department. Create and maintain perception attribute models that generate essential signals, enabling our autonomous vehicles to understand and predict the behavior of various road users. You will collaborate closely with Prediction and Planning teams to optimize your models' outputs, directly influencing how our autonomous vehicles make real-time driving decisions. Work with data labeling and ontology teams on data labeling and ontology definitions of the road users in different attributes and generate auto-labeling or data mining strategies for different attributes. You will help shape the future of autonomous mobility by bridging the critical gap between raw perception data and autonomous decision-making. Qualifications: MS/PhD in computer science or related fields with a minimum of 7 years of relevant experience Experience with training and deploying Deep Learning models Experience with knowledge distillations from large foundation models Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines Fluency programming in Python and extensive experience with algorithm design Strong mathematics skills Bonus Qualifications Familiarity of VLMs/VLAs/ViTs Experience with large model distillation in a production environment Familiarity with C++ Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAs a Software Development Engineer in Test on the Product Software Quality Assurance team, your role will focus on building scalable integration automation frameworks and enhancing existing frameworks for automated testing of mobile applications. You will design and implement functional and integration automation tests for mobile app used by the customer fleet, ensuring comprehensive test coverage and reducing manual testing efforts. By prioritizing automation for repetitive tasks, developing robust regression suites, and focusing on edge cases and high-stress scenarios, you will ensure the reliability of safety-critical tools. In this role, you will: • Design, implement, and maintain scalable functional and test frameworks used across Zoox for integration and subsystem testing, • Lead feature-level testing by defining test strategy and plans, executing manual testing, and driving the transition to robust automation within Zoox’s integrated tooling ecosystem, • Support and partner with users of our frameworks and tools, continuously refining them to improve reliability, usability, and overall engineering efficiency, • Explore and implement AI tools to make testing faster and more efficient.Qualifications:, • Bachelor's or Master's degree in computer science, engineering, mathematics, or a related field, • 3+ years of experience as a Software Development Engineer in Test with proven skills in writing automation frameworks for cloud applications and mobile applications from scratch., • Strong proficiency with Python, Kotlin, and tools like Git, Buildkite, • Experience building functional and performance automated tests for backend cloud applications., • A self-starter who is capable of defining and implementing new tools and processes from start to finishBonus Qualifications:, • Experience in implementing AI tools in the testing domainBase Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAt Reach, we are delivering technologies to enable the long-range, wireless transfer of power. We believe wireless energy can be as liberating for power systems as WiFi was for data systems, and are busy creating the energy infrastructure that will one day replace the aging electrical grid. We have raised funding from top tier VC's, have real world customers deploying our technology, and are continuing to build out the exceptional team that is making our vision a reality. The PositionThis role will position you as a key contributor of Reach’s radio frequency engineering team. As a Microwave Engineer, you will be a key part of Reach’s RF engineering team and develop state of the art systems that are integral to Reach’s wireless power beaming capability. Your technical know-how and innovation skills are key to designing cutting edge products in a fast-paced environment. You will contribute to design, simulation and implementation of power amplifiers and other components and subsystems at microwave frequencies. As an engineer in a small company, you will have a great deal of agency over your work, plenty of opportunity to discover and solve new challenges, and the ability to make large-impact decisions.Key Position Responsibilities • Contribute to the design, simulation and implementation of distributed-element components., • Contribute to the integration with antenna, and antenna arrays., • Design and implement high efficiency power amplifiers at high frequency from 5GHz to 24GHz., • Investigate, study, and introduce new components and subsystems., • Contribute to system level integration with other system owners (EE, firmware, mechanical)., • Support product manufacturing bring up., • Support certification testing and field testing., • Design documentation., • Write component test plans and contribute to system test plans.Qualifications, • Electrical Engineering degree (Master preferred)., • 2+ years of experience as a microwave engineer or equivalent., • Experience using ADS and HFSS., • Experience with PCB layout techniques for distributed-element components implementation., • Experience is developing hardware and testing for some or all of the following: Bluetooth, BLE, Wi-Fi, RF to DC power conversion., • In-depth understanding of safety EMI and EMC compliance and certification., • Experience using spectrum analyzer, VNA, signal generator, oscilloscope, and logic analyzer., • Strong interpersonal and communication skills., • Ability to communicate complex concepts.Nice-To-Haves, • Experience with developing PAs and microwave distributed-element components., • Hands-on experience with bring up and troubleshooting of high-power microwave chains and beam forming steering systems.The expected salary range for this role is based on market benchmarks and internal compensation practices. Final offers will depend on factors like experience, skills, seniority, and how each candidate aligns with the needs of the role. Where an offer falls within the range will reflect the full scope of what a new hire brings to the team.Salary is just one part of our total compensation package, which typically includes a comprehensive benefits plan and equity.Reach - Who We Are Reach is a pioneer in a new frontier of technology. Born out of MIT, incubated in YC, and developed in an "office space" that was once the oven of a cookie factory, we are a group of curious, passionate, and creative problem solvers, and we approach our work with vigor and humility. Much has changed since our cookie factory days, but our core philosophies have remained. Decisions are made quickly, meetings and politics are kept to a minimum, and everyone here does high-visibility work that has considerable influence on our product and company. We have weekly team lunches, quarterly offsite company events, and often spend time together outside of work bicycling, rock climbing, playing music, and hosting happy hours. We highly value diversity at our company - in not only professional capabilities and experience, but also in personal interests, schools of thought, musical tastes, and walks of life. We prioritize inclusivity, and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionZoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. We are seeking a highly motivated software development engineer in test (SDET). This role is central to leading the creation of automation frameworks, tools, and processes for platform safety clearance and system testing. The ideal candidate is passionate about developing high-quality, robust, optimized, and reusable software infrastructure, and is eager to advance their skills in complex systems thinking and validation problem-solving. Some examples of tools this role has supported in the past: Front and back end of Streamlit web-app to automate tracking requirements to test case traceability. Automation framework for execution of safety critical tests.* CI/CD job to identify affected requirements and HIL tests from code changes and automate the execution of all linked tests. In this role, you will: • Create tools and web-apps to help us automate and streamline manual clearance processes., • Propose tools and/or feature ideas to the team to improve processes., • Develop software for automated validation frameworks for system level testing in Hardware In the Loop (HIL), simulation environments, and post-processing of test data., • Develop and maintain dashboards to illustrate progress against targets and highlight focus areas., • Execute, triage, and debug automated verification and validation system tests.Qualifications, • B.S. or higher in Mechanical Engineering, Electrical Engineering, Systems Engineering, Computer Engineering, Computer Science or a related technical degree., • Experience developing automated test frameworks and tools for HIL and/or SIL., • Experience designing and developing automated dashboards using data visualization tools such as Grafana or Looker to monitor operational metrics., • Object-oriented programming experience in Python, • Experience executing and debugging automated tests, preferably with embedded systems or Hardware-in-the-Loop.Bonus Qualifications, • Experience building tools and automation for verification and validation teams., • Experience building web-apps with streamlit., • Experience with CI and build systems (e.g. Bamboo, Buildkite, etc.), • Experience with the incorporation of AI technology into end-to-end test automation frameworks to improve efficiency and productivity., • Familiarity working with APIs in Jira, Polarion, Testrail and other similar tools.Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAs a Software Development Engineer in Test on the Product Software Quality Assurance team, your role will focus on building scalable integration automation frameworks and enhancing existing frameworks for automated testing of web based cloud, backend and mobile applications. You will design and implement functional and integration automation tests for cloud ops used by the Zoox customers and the backend applications, ensuring comprehensive test coverage at API, integration and end-to-end level. By prioritizing automation for repetitive tasks, developing robust regression suites, and focusing on edge cases and high-stress scenarios, you will ensure the reliability of safety-critical tools.In this role you will: Design, implement, and maintain scalable functional and test frameworks used across Zoox for integration and subsystem testing. Collaborate closely with QA, SDETs, and software engineers on cross-team initiatives to maintain and continuously improve Zoox’s end-to-end validation workflows. Lead feature-level testing by defining test strategy and plans, executing manual testing, and driving the transition to robust automation within Zoox’s integrated tooling ecosystem. Support and partner with users of our frameworks and tools, continuously refining them to improve reliability, usability, and overall engineering efficiency. Implement AI tools to make testing faster and more efficient. Qualifications: Bachelor's or Master's degree in computer science, engineering, mathematics, or a related field 5+ years of experience as a Software Development Engineer in Test with proven skills in writing automation frameworks for cloud applications from scratch. Strong proficiency with Python, Typescript, and tools like Git, Buildkite Experience building functional and performance automated tests for backend cloud applications. A self-starter who is capable of defining and implementing new tools and processes from start to finish Bonus Qualifications: Experience in implementing AI tools in the testing domain (Claude) Hands-on Playwright automation experience Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description System Integration Engineer Onsite in Foster City, CA | 5 days in office We are seeking a System Integration Engineer to join our Vehicle System Integration engineering team. In this key role, you will drive the system requirements, functional architecture, integration, and verification activities for Body domain to achieve end to end system capability. Collaboration with cross-functional teams is essential, as you'll work with vehicle integration, feature integration, firmware and vehicle component development teams to deliver the overall reliability and performance of our cutting-edge vehicles. We are looking for an engineer that is passionate about developing a ground breaking Robotaxi, has a strong system engineering background, has extensive system experiences on Body Electronics systems and has system problem-solving skills and has a commitment to deliver on time. Responsibilities : Lead Body Systems and controls for an autonomous robotaxi. Design system technical specifications Architecture. Develop system design and integration test plans to ensure optimal performance, safety, and efficiency for different systems (Lighting, Closures, Cluster), considering cost, mass, and latency. Collaborate with mechanical, electrical, and firmware teams for system requirements and integration. Ensure subsystems fulfill requirements and interfaces. Participate in tech reviews for supplier evaluation and guarantee V&V tests are captured. Create System FMEAs, diagnostics, and fault reactions for safe operation. Lead issue triage (log/code reviews, HW investigation). Qualifications: Bachelor’s or Master’s degree in Electrical Engineering, or related field. 10 years of experience in System engineering, preferably in EVs or automotive systems. Strong system-level understanding of diverse vehicle Systems architectures for Closures, lighting, Passive Entry, Instrument clusters. Familiarity with power management requirements specific to autonomous vehicles, network architecture , and power electronics in EV platforms. Strong foundation in sensor and actuators technologies for different body controls systems. Deep knowledge of developing automotive systems using model-based processes. Deep knowledge of developing electrical systems and subsystems requirements, with proficiency in tools like IBM DOORS, Siemens Polarion, or similar. Knowledge of automotive electrical architectures, including communication protocols (CAN/LIN/Ethernet) application and defining Physical & Functional interfaces. Knowledge of Automotive Diagnostics (UDS) routines and the Functional Safety Standard (ISO 26262). Bonus Qualifications: Experience with ISO26262. Experience in Model Based System Design process. Experience in real time embedded software architecture, e.g., AUTOSAR. Experience in advanced embedded software architecture, e.g., LINUX. Benefits Health Care Plan (Medical, Dental & Vision)Life Insurance (Basic, Voluntary & AD&D)Paid Time Off (Vacation, Sick & Public Holidays)Training & DevelopmentRetirement Plan (401k, IRA)Free breakfast and lunch

Job DescriptionZoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. We are looking for a Principal Systems Engineer to lead the design and assurance efforts for overall safety and fail-operational initiatives. In this highly visible position, you will lead technical programs with cross-functional teams, defining, developing, and continuously refining the methodology for measuring and optimizing safety and fail-operational metrics. You will serve as a trusted technical partner for the Senior Director of System Design and Mission Assurance, at times representing the Senior Director in leadership meetings. You will be part of an organization with strong leadership and a transparent, respectful culture that enables you to reach your full potential. This highly visible position offers opportunities for career growth through demonstrated achievement.In this role, you will: • Define and refine the strategy and architecture for the Systems Engineering efforts that guide Zoox’s approach to safety and fail-operational initiatives, • Lead and oversee the definition, development, and evolution of safety and fail-operational metrics that measure the robotaxi’s ability to safely complete customers’ journeys, • Review and approve mission assurance clearance documents, • Communicate complex metric concepts, data analyses, and actionable insights to diverse stakeholders and executives, • Coach and mentor SDMA systems engineers, fostering their career growth and strengthening SDMA’s technical benchQualifications, • M.S. or higher degree in an Engineering, Computer Science, or a related field, • At least 10 years of relevant professional experience in systems engineering, data analysis, performance tracking, or risk quantification for complex systems., • Demonstrated experience in defining, implementing, and managing quantitative metrics and data-driven approaches for the design and development of complex software or hardware systems, • Proficiency in statistics and probability, • Hands-on experience working with complex software systems, preferably in robotics, autonomous driving, or aerospace., • Collaborative team player with good written and in-person communication skills, capable of influencing, driving consensus, and presenting complex data to varied audiences including senior executives.Bonus Qualifications, • Ph.D. in Engineering, Computer Science, or a related field, • Systems engineering experience with large complex safety-critical systems, • Metrics development experience, • Experience in automotive industry, • Experience with autonomous driving or robotics, • Familiarity with industry safety standards such as ISO 26262, ISO 21448, MIL-STD-882, etc.Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description We are seeking a highly versatile Sensor & Hardware Safety Engineer to bridge the gap between rigorous hardware reliability and real-world system behavior. In this hybrid role, you will be responsible for 50% hardware-level Functional Safety (ISO 26262) and 50% system-level sensor safety (SOTIF / ISO 21448). You will ensure that our custom hardware meets strict ASIL compliance while guaranteeing our advanced sensor suites (Cameras, LiDAR, Radar) operate safely through perception edge-cases and environmental challenges. In This Role, You Will: • Evaluate supplier technical documentation for advanced imagers, microprocessors, and SoCs to verify SEooC and AoU alignment., • Assess vendor deliverables to guarantee ASIL standards are met for firmware/software maturity and diagnostic systems., • Execute board-level FMEDA for sophisticated integrated circuits, including FPGAs and microcontrollers., • Partner with Software, FW, and EE departments to define architectural requirements that enhance diagnostic monitoring., • Support the V&V team in developing SOTIF-compliant simulation and physical test protocols for edge-case scenarios.Qualifications, • Minimum of a B.S. in Automotive, Robotics, Aerospace, or Electrical Engineering., • At least 3 years of professional experience involving board bring-up, silicon validation, or hardware design., • Understanding of SOTIF and ISO 26262 safety protocols., • Strong interpersonal and professional communication capabilities within a collaborative environmentBonus Qualifications, • ISO 26262 professional certification (CFSP or CFSE)., • Background in automotive-grade hardware validation and design., • Experience utilizing traceability platforms like JAMA or Polarion., • Familiarity with industry standards including IEC 61508, DO-254, and DO-178C during board bring-up.There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description At Zoox, we’re redefining mobility by building an autonomous ride-sharing experience that’s safe, efficient, and unlike anything on the road today. We’re not just building a car, we’re redefining human mobility. By developing an autonomous ride-sharing experience that is safe, efficient, and entirely reimagined, we are creating unique vehicles that will shape the future of transportation for generations to come. As a Staff Vehicle Attributes Engineer, you’ll work alongside world-class experts in robotics, controls, and vehicle engineering to bring this vision to life. You will sit at the heart of our Vehicle Integration team, leading attribute team, serving as a technical linchpin between vision and execution. You won't just be managing requirements, you will be driving cross-functional decisions and resolving critical issues alongside department and engineering leadership to ensure our platform is world-class. In this high-impact role, you will: Be the Outward Voice: Act as the primary representative for Vehicle Integration during high-stakes program reviews and in collaborations with inter-departmental customers. Lead with Authority: Work alongside world-class experts in robotics, controls, and vehicle engineering to champion every element of the Zoox experience. Define Excellence: Ensure every vehicle meets the highest possible standards for performance, comfort, and safety, bridging the gap between complex technical constraints and an uncompromising passenger experience. In this role, you will: • Lead cross-functional vehicle attribute teams (e.g., vehicle dynamics, NVH, thermal, energy, safety, ergonomics) to deliver key program milestones for Zoox’s next-generation autonomous vehicle platforms., • Define the vehicle performance of Zoox’s next-generation autonomous vehicles to meet program requirements., • Partner closely with Attribute Leads to define development plans, align priorities, and ensure seamless execution across engineering disciplines., • Champion strategic decision-making by balancing performance, cost, mass, safety, and timing to achieve optimal balance and integration of vehicle attributes, • Deliver performance targets, identify gaps, and drive data-based root cause analyses and resolution plans, • Prepare and present attribute status updates for program reviews and leadership gates, ensuring risks and trade-offs are clearly communicated, • Drive initiatives such as defining and developing test assets and methodologies to validate vehicle-level requirementsQualifications, • Bachelor’s or Masters degree in Engineering, • At least 10+ years of experience in vehicle attribute development or integration, • Deep technical understanding of vehicle systems, validation, and cross-functional integration, • Proven ability to manage multiple priorities, drive decisions, and deliver results in a fast-paced environment, • Experience leading and guiding a vehicle development program, • Skilled in data analysis, documentation, and reporting; proficiency with Smartsheet, Jira, and Google WorkspaceBonus Qualifications, • Experience in Technical Program Management, • Experience in electric or autonomous vehicle development preferredBase Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAs a Software Development Engineer in Test on the Product Software Quality Assurance team, your role will focus on building scalable integration automation frameworks and enhancing existing frameworks for automated testing of mobile applications. You will design and implement functional and integration automation tests for mobile app used by the customer fleet, ensuring comprehensive test coverage and reducing manual testing efforts. By prioritizing automation for repetitive tasks, developing robust regression suites, and focusing on edge cases and high-stress scenarios, you will ensure the reliability of safety-critical tools. In this role, you will: • Design, implement, and maintain scalable functional and test frameworks used across Zoox for integration and subsystem testing, • Collaborate closely with QA, SDETs, and software engineers on cross-team initiatives to maintain and continuously improve Zoox’s end-to-end validation workflows, • Lead feature-level testing by defining test strategy and plans, executing manual testing, and driving the transition to robust automation within Zoox’s integrated tooling ecosystem, • Support and partner with users of our frameworks and tools, continuously refining them to improve reliability, usability, and overall engineering efficiency, • Implement AI tools to make testing faster and more efficient.Qualifications:, • Bachelor's or Master's degree in computer science, engineering, mathematics, or a related field, • 7+ years of experience as a Software Development Engineer in Test with proven skills in writing automation frameworks for cloud applications from scratch., • Strong proficiency with Python, Kotlin, and tools like Git, Buildkite, • Experience building functional and performance automated tests for backend cloud applications., • A self-starter who is capable of defining and implementing new tools and processes from start to finishBonus Qualifications:, • Experience in Mobile App testing and automation, • Experience in implementing AI tools in the testing domainBase Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy a robotaxi service. We are looking for a Senior Machine Learning Engineer to join our team to help find rare events and their likelihood. This role is centered on applying cutting-edge machine learning to develop and enhance our validation processes. You will be instrumental in improving the efficiency and scalability of our testing by sampling across massive datasets where traditional methods no longer suffice. By working with both real-world fleet logs and synthetic data, your work will directly impact how we validate software changes and ensure our robotaxi service is both safe and reliable. Your work will also significantly improve the speed and efficiency of our validation process, enabling Zoox to move faster and achieve more. You will be part of an organization with strong leadership and a transparent, respectful culture that enables you to reach your full potential. This high-impact position offers opportunities for career growth through demonstrated achievement. In this role, you will: • Lead Technical Initiatives: You will apply modern machine learning, leveraging large-scale data, to critical validation problems at the intersection of ML and data science. You will serve as a key contributor and tech lead on a small, focused team., • Improve Feature Representation: You'll extend and refine the features and embedding space used by our models to better identify and cluster interesting driving scenarios. This involves applying first-principles thinking to derive new, impactful features., • Integrate AV Performance Data: You'll incorporate metrics and information on autonomous vehicle (AV) performance into the model to make its risk predictions more accurate and relevant., • Collaborate Cross-Functionally: You'll work closely with system safety, data science, software, and fleet operations teams to understand their needs and integrate improvements that directly support our validation efforts.Qualifications, • Experience: A PhD in a relevant field and/or 5+ years of experience working with machine learning models and data science methodologies in an industry setting., • Technical Skills: Expertise in machine learning concepts, including training deep learning models, evaluation, and optimization. Strong programming skills in Python and experience with relevant machine learning libraries (e.g., PyTorch, TensorFlow, Jax). Experience with large-scale data processing and distributed computing., • Domain Knowledge: Experience in robotics, autonomous vehicles, or a related field, with an understanding of challenges in perception, prediction, and planning., • Mindset: Proven ability to drive progress independently, lead technical projects, and apply critical thinking to solve practical problems., • Communication: Excellent communication skills and the ability to work effectively with cross-functional teams.Bonus Qualifications, • Real-world impact as demonstrated in patents, presentations, blog posts, and publications at at top ML conferences such as Neurips, ICML, CORL, and ICLR., • Familiarity with encoder-decoder or foundation models for prediction and planning., • Experience with test scripting and data analysis languages like SQL., • Familiarity with the challenges of fleet data collection and validation in the autonomous vehicle space., • Background in Bayesian optimization, online learning, and adaptive search. Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.