Site Reliability Engineer, Wayve
Vehicle Software
$209.7-266.8k
+ Equity
3+ days a week in office (Sunnyvale, CA)
Autonomous mobility driven by AI
Be an early applicant
Autonomous mobility driven by AI
501-1000 employees
Be an early applicant
$209.7-266.8k
+ Equity
3+ days a week in office (Sunnyvale, CA)
501-1000 employees
Company mission
To reimagine autonomous mobility with embodies intelligence, aiming to lead the world into a new era of autonomy.
Role
Who you are
- You will write production-quality code every day in Python, C++, or Rust. This is a software engineering role as much as a reliability role, and coding is central to the work
- Comfortable debugging at the Linux and systems level, reading logs, tracing failures, and finding root cause in complex environments
- Experience with CI/CD, containerization, networking, distributed systems, databases, and observability and incident-management tooling, including DataDog, Prometheus, Grafana, OpenTelemetry, Splunk, or Humio
- Experience diagnosing complex production or operational systems, not just escalating, but seeing problems through to resolution
- The communication skills to work effectively across engineering, operations, and field teams, and the judgment to know when to bring others in
- Based in Sunnyvale and able to be onsite at least three days a week to work alongside the field teams you will support
- 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
Desirable
- Experience with autonomous vehicles, robotics, embedded systems, or safety-critical environments. We know this is rare, and it is not a barrier to applying
- Experience with large-scale telemetry or high-volume data pipelines
- Familiarity with vehicle-centric or on-device software systems
What the job involves
- As a Site Reliability Engineer at Wayve, you will work across the full reliability stack for our vehicle software: observability, incident management, operator tooling, and the automation that lets engineering and operations teams detect, triage, and resolve issues faster
- You will work closely with software engineers, field engineers, and operations, debugging real systems, improving real processes, and having direct impact on how our vehicles perform in production
- Wayve is scaling its autonomous vehicle programs with partners, and you will help shape the SRE approach for vehicle-centric systems as that happens
- This is not a role where reliability sits on top of the real work, it is central to it
- Build and improve tooling, automation, observability, and incident-management processes for vehicle software reliability
- Work closely with field engineers, software teams, and operations to diagnose reliability issues and improve system performance
- Own hands-on debugging across Linux, low-level systems, logs, metrics, traces, and vehicle and production data
- Develop reliability improvements that reduce manual intervention and make issue detection, triage, and recovery faster
- Support vehicle-centric operations, including safety-operator tools and the reliability needs of our customer and partner programs
Our take
Wayve is developing AI that teaches cars to drive autonomously using reinforcement learning, simulation, and computer vision. Wayve’s core premise is that the big breakthrough in self-driving cars will come from better AI brains rather than more sensors or “hand-coded” rules which it believes are highly restrictive and not at all scalable.
The company said that it trains its autonomous driving system using simulated environments and then transfers that knowledge into the real world, where it emulates how humans adapt to conditions in real time. It ultimately relies on end-to-end deep learning AI rather than hard-engineered AI. This is one of the world's hardest problems to solve, but Wayve has made an exciting start and is taking a very different approach to competitors like Uber and Waymo, who are relying more on sensors.
Following a few years of innovative breakthroughs, Wayve now has backing from high-profile investors such as Microsoft and angels, including Uber's chief scientist Zoubin Ghahramani and Pieter Abbeel, a UC Berkeley robotics professor and pioneer of deep reinforcement learning. The company's strategic partnerships with outfits like Asda and Ocado to test-run autonomous deliveries, as well as publicity through the Minister is a show of confidence in the future of Wayve's solution to autonomous driving.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 9 rounds)
Apr 2026
$60m
SERIES D
Feb 2026
$1.2bn
SERIES D
Total funding: $2.6bn
Company benefits
- Private healthcare: Choose our optional health insurance for comprehensive coverage for you and your family.
- Paid time off: Paid vacation plus public holidays and additional leave programs, ensuring you have time to unwind.
- Mental health resources: Through Spill, you can access therapy and mental health support.
- Community and socials: Join clubs or attend team socials to connect over hobbies, sports, or just for fun.
- Competitive compensation: Our compensation package includes cash and equity, making you a true partner in our success.
- Learning and development: Budgets for books, courses, and company-wide training to support your continuous growth.
Company HQ
London, UK
Leadership
Alex Kendall
(Co-Founder & CEO)Alex has a PhD from Cambridge in Computer Vision & Robotics. Prior to Wayve, he was a Research Fellow at Trinity College, a Scientific Advisor at Scape Technologies, a Research Engineer at Skydio, and a Software Engineer at Beca.
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