Job Description

About the Role

Join an early-stage AI company building cloud infrastructure and backend systems that turn robotics research into reliable, production-grade products. This generalist role is backend-focused, with ownership across architecture, infrastructure, and customer-facing web experiences.

What You'll Do

• Design and deploy cloud infrastructure across AWS, GCP, or Azure using infrastructure as code and automated deployments.
• Build serverless APIs, containerized services, background jobs, and event-driven workflows, optimizing for latency, throughput, reliability, and cost.
• Implement authentication, authorization, API keys, OAuth/OIDC, role-based access controls, tenant isolation, and secrets management.
• Model and manage relational databases, object storage, and caches, including indexing, migrations, retention, backups, and recovery.
• Build pipelines to ingest and process sensor streams, 3D spatial data, telemetry, and model outputs, including edge-to-cloud connectivity.
• Develop product services and web experiences for organizations, projects, devices, configuration, onboarding, access management, and monitoring.
• Establish production practices for CI/CD, automated testing, observability, security, and incident diagnostics.

What We're Looking For

• At least 5 years of backend or full-stack engineering experience building production systems.
• Backend experience in Python, TypeScript, Go, or Rust, with hands-on operation of cloud services and infrastructure as code.
• Strong grounding in AWS, GCP, or Azure, SQL and NoSQL databases, API design, containerization, and deployment automation.
• Practical React and TypeScript experience, with ownership of features from API through user interface.
• Experience in AI/ML infrastructure, developer infrastructure, databases, robotics, autonomy, or spatial and drone technology.
• Ability to ship products end to end, make sound architectural trade-offs, and work across backend, frontend, and infrastructure. Robotics, spatial computing, or real-time data pipeline experience is beneficial.

Compensation & Benefits

Base salary range: $150,000 to $300,000 USD annually. Equity and visa sponsorship details were not provided.

Location

Hybrid, based in San Francisco, California, United States.