Edge-Compute Robotics Software Engineer

Atoms; San Francisco (CA); On-site; USD 176,000 - 242,000; Full time

Benefits offered by this job

Medical, Dental, Vision

Equity

401(k)

Sick Time & Paid Holidays

Team lunch in SoMa

Job summary

Atoms is building real-world robotics to power next-generation industries from food to transport. We seek engineers to develop low-latency C++ software running on the vehicle's edge compute, build a robust inter-module messaging stack, and implement safe, reliable system infrastructure.

You will work across hardware and software, profiling and debugging in real-time, and contribute to a multidisciplinary team pushing the boundaries of physical AI. This is an onsite role in San Francisco.

Qualifications

• Proficient with Python, C++, Bash, Git, Linux kernels, Docker.

Responsibilities

• Develop low-latency, deterministic C++ software that executes on the vehicle's edge compute to process data and control the vehicle.
• Design and maintain the high-performance messaging stack that routes data between modules.
• Write driver interfaces and safety monitors that interact directly with vehicle hardware.
• Build core system infrastructure, including onboard data logging, time synchronization (PTP), memory management, process lifecycle management, etc.
• Implement real-time diagnostics, watchdog timers, and redundancy logic to detect and recover from software or hardware faults mid-drive.
• Maintain the tooling for securely building, deploying, and updating OS and vehicle software images across the fleet.

Skills

Python

C++

Bash

Git

Linux kernel

Docker

IPC

Bus protocols

Sensors (LiDAR, radar, cameras, IMU)

Profiling & memory management

Networking utilities

Communication & collaboration

Tools

Docker

Job description

Atoms is building real-world robotics to power next-generation industries from food to transport. We seek engineers to develop low-latency C++ software running on the vehicle's edge compute, build a robust inter-module messaging stack, and implement safe, reliable system infrastructure.

You will work across hardware and software, profiling and debugging in real-time, and contribute to a multidisciplinary team pushing the boundaries of physical AI. This is an onsite role in San Francisco.