Software Engineer

• Lab backend: experiment definitions, sample path-planning, long running durable task execution
• Data backend: database schemas, migrations, ETL pipelines, object storage + partition design
• Internal platforms: developer tooling, SDKs, shared services, service templates
• Observability and reliability: structured logs, metrics, tracing, production debugging (OpenTelemetry, Prometheus/Grafana)
• Hybrid infrastructure: cloud + on-prem, containerization, orchestration, infrastructure-as-code
• Agent capabilities and tooling: API integrations, code execution, scientific literature retrieval, workflow automation
• Scientific workflow orchestration: Bayesian optimization loops, experiment scheduling, long-running job execution, retries, idempotency
• Data pipelines for ingesting, transforming, and serving data to models and LLMs

• 5–6+ years of production software engineering experience; strong enough to design, build, and ship end-to-end
• Fluency in Go and/or Python; additional stack experience (TypeScript, Rust) is welcome
• Deep comfort with distributed systems: timeouts, retries, idempotency, partial failure, dead-letter queues, safe rollback
• Experience with concurrent and asynchronous programming — event loops, cancellation semantics, bounded queues, task orchestration under failure
• Solid networking fundamentals (especially important for potential on-prem deployment contexts)
• Containerization and cloud deployment experience (Kubernetes, AWS); comfort debugging Linux systems
• High ownership: you find problems before they find users and raise the bar for quality

• Experience with agentic systems or LLM workflows (tool-calling, context management, PydanticAI, LangChain)
• Experience with enterprise self-hosted storage solutions (Ceph/Rook, Longhorn, WEKA, VAST, TrueNAS)
• Ray framework experience
• Familiarity with MongoDB and gRPC
• CI/CD and DevSecOps experience (GitHub Actions, Gitlab Pipelines)
• Familiarity with embedded protocols (serial, I²C, Modbus), device virtualization, or microcontroller firmware
• Strong observability experience (Datadog, Prometheus, Grafana, ELK, distributed tracing)
• Frontend experience (TypeScript/Svelte/React) — real-time interfaces, state management, structured APIs

Work Arrangement

This role is based in our New York City lab, and we are in person 5 days per week.

• Medical, dental, and vision insurance for you and your family, covered at 100%
• Mental health and wellness support
• Unlimited PTO and 14+ company holidays per year
• Company-wide end-of-year shutdown, including two weeks of paid time off
• 401K
• Equity

Disclosure

Radical AI is replacing an R&D process that currently takes 10+ years and $100 million to produce a single discovery. Our self-driving lab platform combines AI with autonomous robotics to run experiments, analyze results, and iterate—continuously, without human bottlenecks. For industries like aerospace, automotive, defense, energy, manufacturing, semiconductors, and space, that means breakthroughs in weeks instead of years.