Senior Software Engineer, Autonomous Transport Systems

Atoms; San Francisco (CA); Presencial; USD 200.000 - 235.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity

Health insurance

401(k)

Sick time / PTO

Team lunches in SoMa

Descripción de la vacante

Atoms in San Francisco is seeking a Senior Software Engineer to help build transport infrastructure powering autonomous vehicles and real‑world AI systems. You will design and operate high‑concurrency backend services, manage GPU clusters for model training, and develop scalable tooling and networking that connect vehicle fleets to cloud data centers.

This onsite role offers strong compensation and equity. You’ll collaborate across hardware, software, AI, and operations to ship reliable systems

Formación

• 3+ years of professional software engineering experience designing, building, and operating high-concurrency backend distributed systems.
• Hands-on experience with cloud infrastructure and container orchestration tools.
• Experience with networking protocols and edge-to-cloud communications.
• Experience with GPU workloads for AI/ML training and simulation.
• Ability to design scalable backend architectures across hardware and software.
• Bachelor's degree in CS/CE or equivalent.

Responsabilidades

• Build developer experience tooling, APIs, and workflows for autonomous systems.
• Operate high-throughput GPU clusters for model training, fleet simulation, data ingestion.
• Design low-latency networking between vehicles and cloud.
• Develop telemetry, logging, metrics, tracing infrastructure.
• Create abstractions connecting Transport domain with centralized infra stack.

Conocimientos

Go

C++

Rust

Python

Cloud infrastructure

Kubernetes

Docker

Networking protocols

GPU workloads

System design

Educación

Bachelor's degree in CS/CE or related field

Herramientas

Kubernetes

Docker

AWS

GCP

Azure

Descripción del empleo

Atoms in San Francisco is seeking a Senior Software Engineer to help build transport infrastructure powering autonomous vehicles and real‑world AI systems. You will design and operate high‑concurrency backend services, manage GPU clusters for model training, and develop scalable tooling and networking that connect vehicle fleets to cloud data centers.

This onsite role offers strong compensation and equity. You’ll collaborate across hardware, software, AI, and operations to ship reliable systems