Systems Engineer, Robotaxi

Wayve; Detroit (MI); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Relocation support

Visa sponsorship

Hybrid working

Learning & development budget

Health insurance

Dental coverage

Maternity/paternity leave

Pension / retirement plan

Job summary

Wayve is building autonomous driving technology with a driver-out Robotaxi system, and you will translate the architecture into concrete requirements, interfaces and verification outputs. You’ll collaborate with OEMs, Tier 1 suppliers and operators to define boundaries, interfaces and verification plans.

This full-time, hybrid role is based in Sunnyvale, CA, involving sensors, compute, safety, offboard services and fleet integration to drive scalable, safe deployment of autonomous driving

Qualifications

• Hands-on experience designing, integrating or deploying a Robotaxi or production-intent L4 driver-out system.
• Ability to transform use cases into functional decomposition, requirements, interfaces and verification intent.
• Defined system boundaries across organizations, working with OEMs, Tier 1 suppliers and operators.

Responsibilities

• Own systems engineering for Robotaxi architecture components, translating use cases into requirements and verification-ready specs.
• Lead technical sessions with OEMs, Tier 1 suppliers and Robotaxi operators to define boundaries and interfaces.
• Support implementation through reviews, trade studies and impact analysis with cross-domain teams.

Skills

Robotaxi design

Systems engineering

Cross-organizational collaboration

Verification & validation

Tools

Jama MBSE/SysML

CAN

Automotive Ethernet

SOME/IP

AUTOSAR

QNX

Linux

Job description

Before the detail, here's the challenge you'd help us solve.

We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.

Here’s what this particular role covers.

About our Product Dependability Team

Our Product Dependability team connects Wayve’s embodied AI technology with the demands of real-world automotive products. Working across systems engineering, safety, cybersecurity and data analysis, the team helps translate AI capabilities into dependable vehicle-level behavior and supports integration with our OEM partners.

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. As a Systems Engineer, Robotaxi, you’ll work closely alongside our lead Robotaxi System Architect, translating their reference architecture into clear, implementable functions, requirements, interfaces and verification-ready outputs for the areas you own.

Your day-to-day

• Own systems engineering for defined parts of the Robotaxi architecture, translating use cases, operational concepts and constraints into requirements, interfaces, assumptions and verification-ready specifications.

• Work directly with OEMs, Tier 1 suppliers and Robotaxi operators to define system and product boundaries together, leading technical working sessions and design discussions.

• Support implementation through technical reviews, bring-up planning, issue triage and design-change impact analysis, escalating cross-domain or cross-program tradeoffs beyond your scope to the lead architect and relevant domain owners.

What you’ll be working on

Your scope covers how the Robotaxi system works as a safe, scalable driver-out service—from the vehicle, Automated Driving System (ADS) and onboard compute to offboard capabilities and the boundaries between Wayve and our partners.

You’ll apply the Robotaxi reference architecture to real vehicle programs across sensors, compute, ECU topology, vehicle interfaces and degraded-operation behavior. Depending on your defined scope, this could include vehicle/ADS interfaces, Remote Assistance and offboard boundaries, or fleet and cloud integration.

You should apply if

• You have direct, hands-on experience designing, integrating or deploying a Robotaxi or production-intent L4 driver-out system, with systems engineering experience spanning several domains across hardware, embedded software, autonomy, safety, offboard services or operations.

• You can turn use cases and operational concepts into functional decomposition, requirements, interfaces, assumptions, trade studies and verification intent, producing artifacts that teams can implement and verify.

• You’ve defined system and product boundaries across organizations, working directly with OEMs, Tier 1 suppliers, operators or technology partners while maintaining clear internal ownership.

• You bring practical vehicle or robotic-system integration experience and working knowledge of driver-out safety concepts, including redundancy, degraded operation, Minimum Risk Manoeuvre, fail-operational behavior, functional safety, SOTIF and safety-case evidence.

• You’re comfortable owning a defined scope within a larger reference architecture, partnering with a lead architect and communicating complex designs clearly through documents, diagrams, requirements and technical reviews.

It would also be great if you bring experience with:

• Robotaxi launch readiness and operations, including fleet services, Remote Assistance, teleoperation, depot operations, passenger systems or monitoring.

• Automotive E/E architecture, middleware and sensor/compute integration—including CAN, Automotive Ethernet, SOME/IP, AUTOSAR, DDS, QNX or Linux; calibration, synchronization, diagnostics and redundancy.

• Requirements and architecture tools such as Jama or MBSE/SysML, applying a reference architecture across multiple platforms, and understanding how AI model capability, generalization, compute headroom and evidence shape product architecture.

Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.

More about Wayve:

Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines.

Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility.

How we work Locations & Flexible Working:

This is a full-time role based in Sunnyvale, CA, with a hybrid working model.

Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives.

The Interview Process:

Our process is clear and respectful of your time:

• Initial call / recruiter screen 30 min

• Hiring Manager Interviews 1 hour

• Deep-dive technical interviews 2-3 hours

• Final interview: mission & values alignment 30 min

We’ll always explain the format and work around your availability.

What’s in it for you (Location dependant):

• Salary benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

A quick, honest note before you apply.

Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.

If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.

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.

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.