Engineering Manager, Wayve
Driving Intelligence
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
- We're looking for leaders who can foster innovation, drive strategic initiatives, and steer teams towards achieving breakthroughs in driving intelligence
- Prior experience as a manager of ML development teams
- Passionate about fostering personal and professional growth in individual team members
- Industry experience with embodied AI development with real-world product impact
- Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables
- Prior hands-on ML development experience in an embodied area (e.g., robotics)
- MS or PhD in Computer Science, Engineering, or similar experience
Desirable
- Experience working in a project-based (“matrix”) operating environment
- Strong knowledge of Machine Learning and related areas, such as Deep Learning, Natural Language Processing, Computer Vision, etc
- Experience developing machine learning solutions for Autonomous Vehicles
What the job involves
- As an Engineering Manager in Driving Intelligence, your role is on the critical path to the success of the company
- You are responsible for guiding the development of our autonomous vehicle capabilities with production-level quality
- This includes training, tuning and debugging production models, informing decisions on how to collect and synthesise training data
- Join us to shape the future of mobility and AI
- Grow an already strong team of engineers and model developers
- Ensure team members are having a strong impact and are set up for success
- Ensure projects are resourced in a way that balances the needs of the business with the needs of the individuals
- Bring technical expertise and experience to help accelerate our progress and decision making
- Establish solid engineering practices in developing ML models to production-level quality
- Challenge the status quo (both technical and organisational/process)
- Prioritise effectively and keep processes lean and effective
- Partner with leadership to maintain a culture of collaboration, impact, innovation, and health
- Grow the team as a hiring manager, to bring in complementary, diverse skill sets and backgrounds. Anticipate the needs of the business 6-24 months out, identify areas where additional resources are needed or we need to grow new domain expertise, and pitch this to leadership for investment
- Contribute to day-to-day running of the Software team’s operations and larger collaborative efforts
- 1:1s across the team reporting updates or coaching through career hurdles
- Attend stand-ups of the projects your team is contributing to and see where you can unblock or help prioritise
- Ensure project leads within your team are aligning projects with company goals and priorities
- Encourage bold ambition and risk taking in projects
- Work cross-functionally to set the broader strategy and roadmap
- Review upcoming decisions and assess any dependencies or risks
- Debug teams and projects - ask the right questions, challenge assumptions, think creatively, eliminate possible factors that could be contributing to a bug, add feedback loops, and then assess feedback
- Work with leadership to communicate progress, blockers, and potential accelerants
- Assess general team health and look for opportunities to improve processes and best practices
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
Some candidates hear
back within 2 weeks
28% female employees
24% employee growth in 12 months
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 values
- Pave new roads, explore unknown horizons: We take calculated risks and embrace unknown territory
- Leave positive tracks: A big reason for working on autonomous vehicles is for the positive impact they can have to the environment, the lives they will save, the opportunities they will create for others and more!
- Autonomous in thought, collective in action: We are built of strong, curious individuals coming from all walks of life, but who, together, want to achieve a common goal.
- Drive each other forward: We are a company that stands strong upon the foundation which it has created. This foundation is the team, the individuals who make Wayve, Wayve.
Company HQ
London, UK
Articles
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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