Level 5, part of Woven Planet, is developing self-driving technology using a machine-learned approach to create safe mobility for everyone. Our goal is to build level 4 autonomous vehicles to improve personal transportation on a global scale. Woven Planet is a software-first subsidiary of Toyota whose vision is to create mobility of people, goods, and information that everyone can enjoy and trust.
As part of Woven Planet, Level 5 has the backing of one of the world’s largest automakers, the talent to deliver on our goal, and the opportunity for near-term product impact and revenue—a combination rarely seen in the AV industry.
Level 5 is looking for doers and creative problem solvers to join us in improving mobility for everyone with self-driving technology. We’ve built a diverse and talented group of software and hardware engineers, and each has the opportunity to make a meaningful impact on our self-driving stack.
Our team of more than 300 works in brand new garages and labs in Palo Alto, tests AVs at our dedicated test track in the Silicon Valley, and explores the AV industry’s most compelling research problems at our office in London. With support from more than 800 Woven Planet colleagues in Tokyo, Level 5’s work to improve the future of mobility spans the globe. And we’re moving fast — in Level 5’s first 18 months, we launched an employee pilot, and are now testing our fourth generation vehicle platform in San Francisco. Learn more at level-5.global.
As part of the Compute team, you will be responsible for developing core parts of our compute architecture to ensure that our autonomous vehicles execute their software in a safe, efficient, and robust way. Members of the compute team work on a variety of challenging tasks ranging from architecture design, hands-on verification and benchmarking of deployed systems in our vehicles. For this position we are seeking a networking engineer with strong experience in putting together compute and networking systems, and at least some experience in designing networking systems for high-reliability applications. Part of the role is long-term vision thinking, and part is delivering working hardware now.
- Work closely with the software & hardware teams to architect autonomous vehicle networking systems that meet safety and performance goals
- Drive large programs forward by facilitating conversations with vendors, suppliers, and coworkers
- Perform trade studies of network performance across different physical and media layers and bridging schemes and standards
- Participate in hardware and software system design reviews
- Write, integrate, test, and optimize kernel-level network performance in Linux and embedded operating systems
- Contribute to code reviews
- Stay current with latest compute/connectivity industry developments and put cutting edge research into use as practical designs
- Education in EE, CS, CE, Physics, or similar.
- Software development or scripting in C/C++, Matlab, or Python
- Ability to work in a fast-paced environment, good communication and collaboration skills
- A record of successful engineering project ownership
- Extensive programming and networking systems experience in Linux or an embedded operating system, with emphasis on kernel space
- Familiarity with the Berkeley Packet Filter
- Operational understanding of switched Ethernet networks at Layers 1 through 3
- Knowledge of robotics and/or automotive/ADAS inference requirements (Desirable)
- Experience working with safety critical real-time systems (Desirable)
- PCB schematic capture experience with Altium, Orcad, or other toolchain (Desirable)
- Network simulation experience (Desirable)
- Robotics or real-time control systems experience (Desirable)
- Familiarity with industrial Ethernet standards or time-sensitive networking bridging features and corresponding socket properties (Desirable)
・We are an equal opportunity employer and value diversity.
・We pledge that any information we receive from candidates will be used ONLY for the purpose of hiring assessment.