Software Engineer

Radical AI, Inc.

is a materials company replacing the R\&D process that currently takes 10 years and $100 million to produce a single discovery. Instead of leaving world-changing industries like aerospace, automotive, energy, manufacturing, semiconductors, and space to engineer around material shortcomings, Radical invents new materials for specific performance goals in a matter of weeks. This acceleration of research is fueled by scientific agents that simulate novel compositions and then send them directly into an automated lab for physical synthesis, characterization, and validation.

The Role

This is a generalist software engineering role on the team building the core platform that powers our autonomous lab. Depending on where you plug in, you might own backend services, agent tooling, data and orchestration pipelines, internal platforms, or the infrastructure that keeps our systems observable and reliable in production.

What's non-negotiable: strong systems thinking, production instincts, and the ability to contribute across the stack. We're building software that controls and monitors physical systems in the real world — the bar for correctness and reliability is high.

We work across a deeply cross-disciplinary domain (robotics, ML, experimental automation), and one near-term priority involves hybrid cloud/on-prem deployments in customer environments. Engineers who've navigated those constraints will hit the ground running.

What You'll Work On

• 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
• 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

What We're Looking For

• 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
• Familiarity with MongoDB and gRPC; solid networking fundamentals (especially important for potential on-prem deployment contexts)
• Containerization and cloud deployment experience (Kubernetes, AWS); comfort with on-prem environments is a plus
• High ownership: you find problems before they find users and raise the bar for quality

Nice to have

• Experience with agentic systems or LLM workflows (tool-calling, context management, PydanticAI, LangChain)
• Ray framework experience
• CI/CD and DevSecOps experience (GitHub Actions, Jenkins, CircleCI)
• 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
• Background in robotics, automation, or manufacturing infrastructure

What We Offer

• A competitive compensation package also includes the best in benefits:
• 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
• 401K
• Work closely with a team on the cutting edge of AI research
• A mission: an opportunity to fundamentally change the way humanity makes progress through materials science discovery

Work Arrangement

This role is based in our New York City lab. We work in-person most of the time; hybrid arrangements will be considered on a case-by-case basis.

What We Offer

A competitive compensation package also includes the best in benefits:

• 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
• 401K

The opportunity to work closely with a team on the cutting edge of AI research.

A mission: an opportunity to fundamentally change the way humanity makes progress through materials science discovery.

Disclosure

Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.