The Role
The Role
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 computerensuring 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 PREEMPTRT 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 (PREEMPTRT) and tuning mixed-criticality systems
Familiarity with building custom Linux distributions using Yocto / OpenEmbedded
Our roles are often flexible. If you dont fit all the criteria or are in another location (especially one where we have an office like SF of NY) please apply anyway! Wed love to consider you.
Join the team bringing advanced autonomy to the built world
At Bedrock weve 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 Segments $3.2B acquisition and grew Uber Freight to $5B in revenue.
While others debate the future of AI were 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 isnt a simulationits autonomous intelligence working on billion-dollar infrastructure projects.
In just over a year weve raised $80M put our equipment into the field and established partnerships with forward-thinking contractors who are integrating our technology into their operations. Were working quickly to close the gap between Americas surging demand for housing data centers manufacturing hubs and the construction industrys growing labor shortage.
Here algorithms meet steel-toed boots. Youll collaborate with both construction veterans and experienced engineers tackling problems where your work directly impacts how the physical world get built. If youre interested in applying cutting-edge technology to solve meaningful problems alongside a talented teamwed love to have you join us.
Required Experience:
Staff IC
The RoleThe RoleLocation: San Francisco CAWork Model: Hybrid 3 days onsite per weekThe 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 ent...
The Role
The Role
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 computerensuring 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 PREEMPTRT 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 (PREEMPTRT) and tuning mixed-criticality systems
Familiarity with building custom Linux distributions using Yocto / OpenEmbedded
Our roles are often flexible. If you dont fit all the criteria or are in another location (especially one where we have an office like SF of NY) please apply anyway! Wed love to consider you.
Join the team bringing advanced autonomy to the built world
At Bedrock weve 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 Segments $3.2B acquisition and grew Uber Freight to $5B in revenue.
While others debate the future of AI were 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 isnt a simulationits autonomous intelligence working on billion-dollar infrastructure projects.
In just over a year weve raised $80M put our equipment into the field and established partnerships with forward-thinking contractors who are integrating our technology into their operations. Were working quickly to close the gap between Americas surging demand for housing data centers manufacturing hubs and the construction industrys growing labor shortage.
Here algorithms meet steel-toed boots. Youll collaborate with both construction veterans and experienced engineers tackling problems where your work directly impacts how the physical world get built. If youre interested in applying cutting-edge technology to solve meaningful problems alongside a talented teamwed love to have you join us.
Required Experience:
Staff IC
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