Software Tech Lead, Wayve
Simulation
2-5 days a week in office (Sunnyvale, CA)
Autonomous mobility driven by AI
Open for applications
Autonomous mobility driven by AI
201-500 employees
Open for applications
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
- Domain experience in simulation, motion planning, localization, controls, modern machine learned graphics techniques (NeRF, Gaussian Splatting, or GenAI) or other areas of robotics
- Good development skills in Python and C++, including modern C++ (11, 14, 17, 20)
- Good sense of systems and data oriented software engineering design - what makes code reusable and extensible
- Understanding of common software performance issues and design tradeoffs
- 5+ years of industry experience designing and programming software
- Excellent communication and people engagement skills
Desirable
- Experience in the field of autonomous vehicles
- Experience with simulating / modelling the dynamics of vehicles and robots
- Experience with simulating / modelling real sensors (lidar, radar, gnss, etc...), including modelling noise
- Experience implementing modern machine learned graphics techniques (NeRF, Gaussian Splatting, or GenAI)
- Experience with rigid body simulation
- Experience with design, implementation, and optimization of large-scale machine learning inference systems running in cloud GPU environments
- Experience with cloud infrastructure (AWS, Azure and/or GCP)
What the job involves
- As a software engineer technical lead for Wayve’s Simulation Technology team, you will be an expert software architect who evolves a core component of Wayve’s simulation platform, which is used to develop and evaluate Wayve’s driving intelligence
- You will be responsible for shaping and implementing the technical roadmap in one of three key areas: robot emulator fidelity, visual fidelity, or efficient scaling
- You will be working closely with our robotics, research, platform and data teams, as well as the rest of the Simulation Technology team to ensure that our simulation platform meets the needs of our end-users by providing accurate, scalable, and high-signal simulations
- Own key performance indicators (KPIs) for simulator realism, reproducibility, and/or cost
- Work cross-company on aligning technical dependencies for simulator implementation
- Lead technical discussions and guide technical direction
- Effectively integrate the components of the simulated robot into the simulation platform
- Effectively integrate machine-learned graphics subsystems into the simulation platform
- Implement production quality software in C++ and Python
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
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