Join the team bringing advanced autonomy to the built world
At Bedrock, we’re moving AI out of the lab and into the real world. Our team is composed of industry veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we’re deploying autonomous systems on heavy construction machinery across the country, accelerating project schedules of billion-dollar infrastructure projects and improving safety on job sites. Backed by $350M in funding, 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.
This is where algorithms meet steel-toed boots. You’ll collaborate with construction veterans and world-class engineers to solve physical-world problems that simulations can’t touch. If you're ready to apply cutting-edge technology to solve meaningful problems alongside a talented team—we'd love to have you join us.
Location: San Francisco, CA
Work Model: Hybrid — 3 days onsite per week
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 for high-bandwidth sensors such as cameras and lidars, ensuring low-latency, low-overhead data ingestion
- Implement system services including OTA updates, secure provisioning, telemetry, and system health monitoring
- Manage Linux userspace configuration (device management, networking, process management, time synchronization)
- Optimize system performance across CPU and GPU, leveraging CUDA where appropriate
- 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 in robotics, autonomous systems, or high-performance embedded environments
- Expert knowledge of Linux systems programming, including kernel, device drivers, and hardware interfaces
- Strong experience with Linux services and userspace tooling (systemd, udev, networkd, shell scripting)
- Proficiency in C, C++, or Rust, with enthusiasm to work primarily in Rust
- Proven technical leadership: owning projects, driving design decisions, mentoring engineers, and collaborating cross-functionally
Preferred Qualifications
- Experience with the NVIDIA Jetson ecosystem (JetPack)
- Professional experience using Rust in embedded Linux environments
- Background in robotics or autonomous vehicles, including CUDA-accelerated sensor pipelines
- Experience with real-time Linux (PREEMPT_RT) and tuning mixed-criticality systems
- Familiarity with building 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 or NY) please apply anyway! We'd love to consider you.
