Staff Software Engineer, Autonomy Compute Platform

The Role

The Role

The Onboard Infrastructure team is responsible for the base platform software and middleware running on our onboard computer and safety controller. From board bring-up through application development, we build our entire stack in Rust.

We are looking for a Senior or Staff Software Engineer to join our team to architect, develop, and optimize the base software for our onboard autonomy computer, ensuring our autonomy stack has a secure, deterministic, and highly optimized foundation to run on.

In this role, you will:

• Architect and maintain the embedded Linux stack for our NVIDIA Jetson platform, including board bring-up, kernel configuration, and OS customization.
• Develop and optimize low-level drivers, including for high-bandwidth sensors such as cameras and lidars, ensuring low-latency and low-overhead data ingestion.
• Implement system services such as OTA software updates, secure provisioning, telemetry, and system health monitoring.
• Manage the Linux userspace configuration, covering device management, network management, process management, and time synchronization.
• Optimize system performance across CPU and GPU resources, leveraging CUDA for acceleration.
• Harden the platform for mixed-criticality real-time workloads using Preempt-RT, process isolation, and security best practices.

Required Qualifications

• 8+ years of embedded Linux experience working with robotics, autonomous, or high-performance embedded systems.
• Expert knowledge of Linux systems programming, with a solid understanding of the kernel, device drivers, and hardware interfaces.
• Strong expertise with Linux services and userspace management, including systemd, udev, networkd, and shell scripting.
• Strong proficiency in C, C++, or Rust, with a willingness and excitement to work primarily in Rust.
• Track record of technical leadership: leading projects, driving design decisions, mentoring others, and working effectively across teams.

Preferred Qualifications

• Experience with the NVIDIA Jetson ecosystem (Jetpack)
• Professional experience developing in Rust for embedded Linux environments.
• Background in robotics or autonomous vehicles, including experience optimizing sensor pipelines using CUDA.
• Knowledge of real-time Linux (PREEMPT_RT) and tuning mixed-criticality systems for deterministic performance.
• Experience building and maintaining custom Linux distributions using Yocto/OpenEmbedded.

Our roles are often flexible. If you don't fit all the criteria, or are in another location (especially one where we have an office like SF of NY) please apply anyway! We'd love to consider you. 

Join the team bringing advanced autonomy to the built world

At Bedrock, we've assembled one of the most experienced autonomous technology teams in the industry, with deep expertise scaling breakthroughs across transportation, infrastructure, and enterprise software. Our leaders helped put the first self-driving cars on public roads at Waymo, scaled systems for Segment's $3.2B acquisition, and grew Uber Freight to $5B in revenue.

While others debate the future of AI, we're deploying it in the real world. Our systems are already installed on heavy machines across the country, learning on real construction sites and working to reshape the earth with survey-grade precision and exceptional safety. This isn't a simulation—it's autonomous intelligence working on billion-dollar infrastructure projects.

In just over a year, we've raised $80M, put our equipment into the field, and established partnerships with forward-thinking contractors who are integrating our technology into their operations. We're working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage.

Here, algorithms meet steel-toed boots. You'll collaborate with both construction veterans and experienced engineers, tackling problems where your work directly impacts how the physical world get built. If you're interested in applying cutting-edge technology to solve meaningful problems alongside a talented team—we'd love to have you join us.