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.

 

Level 5’s autonomous vehicle and data acquisition architectures consist of sensors, embedded high-performance computers and microcontrollers that are connected to the cloud and maintained remotely.  As an Autonomous Systems Integration & Test Engineer, you will ensure the seamless deployment of such architectures and devices to fleets of vehicles through testing, triaging, and debugging. This role is multi-team, multi-disciplinary with high visibility and will have a large impact on the future of Level 5's autonomous efforts.

 

Responsibilities

  • Work cross-functionally with Runtime, Autonomy, Electrical Engineering, Operations, System Engineering and related teams
  • Build and maintain test strategies, testbed assemblies, and tests that check the intersection of HW, SW, and cloud components working together, ensuring proper system functionality for fleet-deployed vehicles
  • Understand and stay up-to-speed on complex problems in real-time, escalating to appropriate stakeholders across the organization
  • Define processes for triaging and directly support fleet deployment from the cloud to the vehicle (e.g., over-the-air update, telemetry)
  • Troubleshoot system-level issues including but not limited to platform and application SW, sensors, compute HW, electrical, and cloud-based systems.
  • Build familiarity with Woven Planet / Level 5 autonomous and data acquisition vehicles and infrastructure inside and out.

Experience

  • At a minimum, Bachelor’s of Science in Computer Science, Computer Engineering, Electrical Engineering, or related field with sufficient practical work experience, with at least 3 years of relevant professional experience
  • Proven ability to operate effectively and autonomously across multiple teams in situations of ambiguity, with only high level direction
  • Generalist attitude with proven ability to dive deep fast and willingness to learn continuously
  • Demonstrated ability to write software scripts to support testing, deployment, and on-device automation (Python, Bash)
  • Familiarity with Linux (udev, systemd, networking sockets, bash)
  • Familiarity with C/C++ software, version control (e.g., git), and cloud infrastructure
  • Preferred experience in one or more of the following fields: SW engineering, embedded software and systems, RTOS (QNX, LinuxRT), cloud computing, networking, system timing, sensors (camera, radar, lidar), geo-localization (GPS & IMU), remote sensing, machine learning/artificial intelligence or on-edge compute

 

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