Software Engineer, Autonomous Systems

Position Overview

We're looking for a software engineer to help build the software systems that make our autonomous trucks drive. Your primary focus will be on software that runs on the vehicle, and you'll contribute across the stack—from sensors and inference to developer tooling and fleet-facing systems—working closely with teammates across robotics, ML, and controls. We also value engineers who are excited to jump into adjacent parts of the stack as needed, from firmware-facing integrations and developer tooling to cloud services and internal applications. This is a chance to support a production autonomy stack from day one, shipping code that runs on real trucks hauling real freight.

Key Responsibilities

• Contribute to the design, implementation, and optimization of software across the autonomy stack, with an emphasis on real-time systems running on the vehicle
• Help build and improve on-vehicle data logging and recording systems
• Contribute to the hermetic build and cross-compilation pipeline, including packaging and deployment for on-vehicle compute platforms and adjacent system components
• Instrument, profile, and improve system performance end-to-end—from IPC latency to compute throughput to disk I/O
• Write tests and support CI improvements to ensure system reliability
• Contribute to integrations across on-vehicle, cloud, and fleet-facing systems—remote data pipelines, over-the-air updates, and connectivity
• Jump into adjacent engineering work as needed, from firmware-facing integrations and developer tooling to cloud services and internal web applications
• Collaborate with ML and controls engineers to integrate their work into the real-time on-vehicle stack

Minimum Qualifications

BS or MS in Computer Science, Electrical Engineering, Robotics, or a related field—or equivalent industry experience
Strong proficiency in Rust or C++ with experience shipping low-latency, concurrent software on Linux
Familiarity with real-time scheduling, inter-process communication, synchronization primitives, and debugging latency-sensitive concurrent systems
Experience contributing to Linux systems software, hardware-adjacent infrastructure, sensor / compute platform bring-up, or similarly close-to-hardware systems
Eligible to work in the United States

Preferred Qualifications

Experience contributing to software for autonomous vehicles, mobile robots, or other safety-critical systems
Hands-on work with sensor integration
Experience with GPU-accelerated compute or productionizing AI models (quantization, optimization, deployment)
Experience with low-latency IPC, shared-memory transport, or high-throughput pub-sub systems
Familiarity with cloud infrastructure, networking, or vehicle-to-cloud data pipelines
Experience with Bazel or other hermetic build systems
Experience with cross-compilation, packaging, or deployment for Linux-based systems
Comfort working as a software generalist across systems boundaries, from on-vehicle software to cloud services and internal tools
Comfort working on a small team with high ownership, low ego, and fast iteration

Compensation

This role is eligible for base salary + benefits + equity compensation. Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by additional factors, including qualifications, skills, experience, and location.