The Onboard Infrastructure team at Bedrock is looking to architect and develop an onboard runtime framework to enable safe and efficient operation of their autonomy stack, while also supporting the development of ML and Controls teams.
Requirements
- Strong proficiency in Rust or in modern C++
- Demonstrated ability to architect complex software systems, including defining APIs, data models, and inter-process communication mechanisms
- Proven experience developing embedded real-time subsystems on Linux, demonstrating deep knowledge of userspace optimization, kernel interaction, latency, and resource constraints
- Professional experience developing in Rust for production environments
- Previous work on runtime / middleware frameworks for autonomous vehicles or robotics
- Background with sensors and compute commonly used in autonomy: cameras, lidars, GNSS, IMUs, edge compute modules, embedded controllers
- Experience with functional safety standards (such as ISO 26262 or IEC 61508) and developing software for safety-critical applications
Responsibilities
- Architect and develop the core application runtime framework, including application lifecycle management, deterministic scheduling, and configuration systems that manage complex dependencies across subsystems.
- Develop high-performance communication systems and zero-copy interfaces capable of handling low-latency real-time sensor data from cameras and lidars.
- Build onboard infrastructure for system observability, diagnostics, and deterministic logging & replay.
- Establish and maintain coding standards and code health for onboard software, championing Rust best practices and serving as a technical mentor within the engineering organization.
- Collaborate closely with the Machine Learning and Controls teams to ensure the infrastructure meets the needs of advanced autonomy applications.
Other
- 10+ years of software engineering experience in robotics, autonomous systems, or high-performance embedded systems
- Track record of technical leadership: leading projects, driving design decisions, mentoring others, and working effectively across teams
- Bachelor's, Master's, or Ph.D. degree in Computer Science or related field (not explicitly mentioned but implied)
- Ability to work in a team environment and collaborate with construction veterans and experienced engineers
- Willingness to apply for roles even if not all criteria are met, with flexibility in location (especially SF or NY)
