Senior Autonomous Transport Infra Engineer

ATOMS Careers page; San Francisco (CA); On-site; USD 200,000 - 235,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401(k)

Equity

Paid holidays

Sick time and flexible time off

Team lunch in SoMa office

Job summary

Atoms is building physical AI and autonomous systems for transport, mining, and food industries. The Senior Software Engineer role focuses on developing scalable backend services, fleet data pipelines, and high-throughput GPU workloads to advance autonomous transport infrastructure.

You’ll design resilient networking, deploy robust tooling, and collaborate across hardware, software, and cloud teams to ensure real-time performance and reliability in real-world environments.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field (or equivalent practical experience).
• 3+ years of professional software engineering experience designing, building, and operating high-concurrency backend distributed systems in production using Go, C++, Rust, or Python.
• Hands-on experience with cloud infrastructure (AWS, GCP, or Azure), containerization, and orchestration tools like Kubernetes and Docker.
• Practical understanding of networking protocols (TCP/IP, gRPC, WebSockets, MQTT), load balancing, and edge-to-cloud or data center communications.
• Experience managing compute orchestration, high-throughput storage pipelines, or GPU workloads for AI/ML training and simulation.
• Broad system design skills and an infrastructure generalist mindset, comfortable jumping between networking, developer tooling, and compute clusters as priorities evolve.
• Hands-on experience with hardware is a strong plus.

Responsibilities

• Build robust developer experience tooling, APIs, and workflows that empower autonomous systems engineers to deploy, test, and iterate rapidly on vehicle hardware and simulation environments.
• Architect and operate high-throughput GPU clusters used for deep learning model training, fleet simulation, and large-scale data ingestion.
• Design resilient, low-latency networking solutions to manage data communication between autonomous vehicles operating in the field and distributed cloud data centers.
• Develop scalable telemetry, logging, metrics, and tracing infrastructure to monitor the health, performance, and safety of vehicle fleets and cloud services in real time.
• Build clean abstractions and proxy interfaces that connect the Transport domain with Atoms’ broader centralized infrastructure stack.

Skills

Go

C++

Rust

Python

AWS/GCP/Azure

Kubernetes

Docker

Networking

GPU compute

Distributed systems

Hardware experience

Education

Bachelor's degree

Tools

AWS

GCP

Azure

Job description

Atoms is building physical AI and autonomous systems for transport, mining, and food industries. The Senior Software Engineer role focuses on developing scalable backend services, fleet data pipelines, and high-throughput GPU workloads to advance autonomous transport infrastructure.

You’ll design resilient networking, deploy robust tooling, and collaborate across hardware, software, and cloud teams to ensure real-time performance and reliability in real-world environments.