Technical Lead, Wayve
Build and Release
2-5 days a week in office (Sunnyvale, CA)
Autonomous mobility driven by AI
Be an early applicant
Autonomous mobility driven by AI
201-500 employees
Be an early applicant
2-5 days a week in office (Sunnyvale, CA)
201-500 employees
Company mission
To reimagine autonomous mobility through embodied intelligence.
Role
Who you are
- 7+ years of experience in software engineering, focusing on software release management, developer tools, or engineering systems
- Experience with Build and CI/CD systems
- Experience with Infrastructure-as-Code (e.g. Terraform, Ansible)
- Strong debugging skills; willingness to optimise your code
- Strong background in building and optimising developer productivity tools and release management systems
- Experience in large-scale, distributed systems, ideally within autonomous driving, automotive, or similar complex domains
- 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 Docker, Kubernetes and Cloud systems (we use mostly Azure)
- Additional programming languages (mostly Rust, C++, JS)
- Experience with Linux systems (esp. Ubuntu) & shell scripting
- Cloud Experience: Azure, AWS or GCP
- Yocto/bitbake/buildroot
What the job involves
- As a Tech Lead specialising in Software Developer Productivity, Software Release Management Systems, and Engineering Systems, you will be responsible for leading a team of engineers to build and improve the software development and release systems that power Wayve.ai’s autonomous driving technology
- Your leadership will drive efficiency in the development lifecycle, enhance collaboration across teams, and ensure the reliability and scalability of systems that support the software delivery pipeline
- You will be instrumental in shaping the architecture and tooling that accelerates software development and deployment processes for Wayve.ai’s engineering teams
- Design and lead the development of tools and frameworks to improve the efficiency, collaboration, and productivity of software developers across Wayve.ai
- Oversee the implementation of automated systems and workflows that reduce manual processes, improve code quality, and streamline developer tasks
- Evaluate, recommend, and drive the adoption of best practices, technologies, and tools to optimize development efficiency
- Architect and enhance the engineering systems that support scalable, high-performance software delivery, including CI/CD pipelines, version control, and deployment infrastructure
- Lead initiatives to improve the reliability, scalability, and performance of tools and systems across the engineering organization
- Mentor a team of engineers focused on software developer productivity, release management, and engineering systems
- Set clear technical direction, establish priorities, and provide guidance to ensure the team delivers high-quality, reliable solutions
- Manage technical debt, balancing long-term architectural goals with short-term delivery priorities
- Lead efforts to improve release pipelines, implementing automation and ensuring that releases are stable, efficient, and delivered on time
- Coordinate with cross-functional teams including engineering, QA, and product to plan, schedule, and execute software releases
- Collaborate closely with engineering teams to identify challenges and deliver tailored solutions that improve workflows and developer productivity
- Drive cross-functional initiatives to continuously improve developer experience, release management practices, and overall engineering systems
Our take
Wayve is developing artificial intelligence (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 7 rounds)
May 2024
$1.1bn
SERIES C
Jan 2022
$200m
SERIES B
Total funding: $1.3bn
Company benefits
- Learning budget
- In-house chef
- Flexible Working
- Private health insurance and therapy
- Workplace nursery scheme
- Onsite bar
- Large social budgets
- Enhanced parental leave
Company HQ
London, UK
Leadership
Alex Kendall
(CEO)Has a PhD from Cambridge in Computer Vision & Robotics. Previously Research Engineer at Skydio and Advisor to Scape Technologies
Salary benchmarks
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