Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.
Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.
At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.
Make Wayve the experience that defines your career!
Wayve is developing driver-out Robotaxi systems that bring together the AI Driver, vehicle platform, sensors and compute, safety mechanisms, Remote Assistance, fleet services, and cloud operations.
We are looking for a Systems Engineer, Robotaxi to turn defined parts of this system-level vision into clear, implementable architecture. You will work closely alongside Wayve's lead Robotaxi System Architect, translating their reference architecture into functions, requirements, interfaces, decisions, and verification-ready outputs for the areas you own..
Your scope covers how the Robotaxi system works as a safe, scalable driver-out service — the vehicle, ADS, onboard compute, offboard capabilities, and the boundaries between Wayve, OEMs, Tier1s, and Robotaxi partners — and includes working directly with those partners to define architecture and product boundaries together, including leading technical discussions with them.
Key Responsibilities- Own the systems engineering for defined parts of the Robotaxi architecture — for example vehicle/ADS interfaces, Remote Assistance/offboard boundaries, or fleet/cloud integration
- Translate use cases, operational concepts, and constraints into system requirements, interfaces, assumptions, and verification-ready specifications for the areas you own.
- Work directly with OEM, Tier1, and Robotaxi operator partners to define system and product boundaries together, including leading technical working sessions and design discussions with them.
- Apply the Robotaxi reference architecture to real vehicle programs across sensors, compute, ECU topology, vehicle interfaces, and degraded-operation behavior.
- Support implementation through technical reviews, bring-up planning, issue triage, and design-change impact analysis.
- Escalate cross-domain or cross-program trade-offs that go beyond your defined scope to the lead Robotaxi System Architect and relevant domain owners.
You are a hands-on Robotaxi systems engineer who has worked on a real Robotaxi or production-intent L4 driver-out system. You can reason across hardware, embedded software, autonomy, safety, vehicle integration, offboard services, and operations, while producing engineering artifacts that teams can implement and verify.
You are comfortable owning a defined technical scope within a larger reference architecture, working in close partnership with a lead architect, and collaborating across domain boundaries. You can engage external partners directly — defining system and product boundaries together and running technical discussions — while staying clear on internal ownership.
Essential- Direct, hands-on experience designing, integrating, or deploying a Robotaxi or production-intent L4 driver-out autonomous system.
- Systems engineering experience spanning several parts of the system, such as vehicle platform, sensors, compute, embedded software, ADS, safety mechanisms, Remote Assistance/offboard services, fleet/cloud systems, or operations.
- Experience converting use cases and operational concepts into functional decomposition, system requirements, interfaces, assumptions, trade studies, and verification intent.
- Experience defining system and product boundaries across multiple companies or organizations, such as an autonomy developer, OEM, Tier1, operator, or technology partner.
- Practical vehicle or robotic-system integration experience, including architecture reviews, bring-up, issue triage, debugging, or design-change impact analysis.
- Working knowledge of driver-out safety concepts, including redundancy, degraded operation, Minimum Risk Manoeuvre, fail-operational behavior, functional safety, SOTIF, and safety-case evidence.
- Ability to communicate complex system designs cuments, diagrams, requirements, and technical reviews.
- Robotaxi launch readiness, fleet operations, Remote Assistance, teleoperation interfaces, depot operations, rider/passenger systems, or operational monitoring.
- Production automotive E/E architecture, CAN, Automotive Ethernet, SOME/IP, AUTOSAR, DDS, QNX, Linux, diagnostics, time synchronization, or data logging.
- Sensor and compute architecture involving cameras, radar, LiDAR, IMU/GNSS, calibration, timestamping, primary/secondary compute, or redundancy.
- Requirements and architecture tooling such as Jama, MBSE/SysML, interface-control documents, decision records, and traceability systems.
- Experience applying one reference architecture across more than one vehicle platform, OEM, or deployment model.
- Familiarity with AI/ML-based driving systems and the implications of model capability, generalization, compute headroom, and evidence for product architecture.
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to 311,400, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
For US candidates only, please visit E-Verify Notice and Participation and Right to Work
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
Skills Required
- Direct hands-on experience designing, integrating, or deploying a Robotaxi or production-intent L4 driver-out autonomous system.
- Systems engineering experience spanning areas such as vehicle platforms, sensors, compute, embedded software, ADS, safety mechanisms, remote assistance, offboard services, fleet/cloud systems, or operations.
- Experience converting use cases and operational concepts into functional decomposition, system requirements, interfaces, assumptions, trade studies, and verification intent.
- Experience defining system and product boundaries across multiple companies or organizations, including autonomy developers, OEMs, Tier1s, operators, or technology partners.
- Practical vehicle or robotic-system integration experience, including architecture reviews, bring-up, issue triage, debugging, or design-change impact analysis.
- Working knowledge of driver-out safety concepts, including redundancy, degraded operation, Minimum Risk Manoeuvre, fail-operational behavior, functional safety, SOTIF, and safety-case evidence.
- Ability to communicate complex system designs through documents, diagrams, requirements, and technical reviews.
- Experience with Robotaxi launch readiness, fleet operations, remote assistance, teleoperation interfaces, depot operations, rider/passenger systems, or operational monitoring.
- Experience with production automotive E/E architecture, CAN, Automotive Ethernet, SOME/IP, AUTOSAR, DDS, QNX, Linux, diagnostics, time synchronization, or data logging.
- Experience with sensor and compute architectures involving cameras, radar, LiDAR, IMU/GNSS, calibration, timestamping, primary/secondary compute, or redundancy.
- Experience with requirements and architecture tooling such as Jama, MBSE/SysML, interface-control documents, decision records, and traceability systems.
- Experience applying one reference architecture across multiple vehicle platforms, OEMs, or deployment models.
- Familiarity with AI/ML-based driving systems and implications of model capability, generalization, compute headroom, and evidence for product architecture.
Wayve Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Wayve and has not been reviewed or approved by Wayve.
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Healthcare Strength — Private healthcare and access to therapy via Spill are part of the standard package. This indicates robust health support within the core offering.
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Leave & Time Off Breadth — Paid vacation, public holidays, and additional leave programs are explicitly listed. This breadth of time away supports work–life balance expectations.
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Equity Value & Accessibility — Cash plus equity is standard in offers at this growth stage. This provides ownership alongside salary with perceived upside tied to company momentum.
Wayve Insights
What We Do
We're Wayve, a leading developer of embodied intelligence for autonomous vehicles. We use AI to pioneer a next-generation approach to self-driving: AV2.0, which enables fleet operators to unlock the benefits of AV technology at scale. Founded in 2017, Wayve is made up of a diverse team of experts in machine learning and robotics. We were the first to deploy AVs on public roads with end-to-end deep learning. Today, our teams are based in London and California, and we're testing AVs in cities across the UK. Inspired by our vision for a smarter, safer, more sustainable world, we're looking for people who are passionate about building breakthrough solutions to some of the world’s most important challenges. If you're looking for an exciting opportunity with a dynamic team, get in touch!
