Full Stack Software Engineer
New York, NY
Lab Automation – Software /
Full Time /
On-site
Radical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability.
As a Full Stack Engineer at Radical, you’ll design and build systems that bridge software and physical labs. You’ll develop services that orchestrate robotic hardware, manage asynchronous workflows, and expose them via APIs and interfaces to scientists and engineers. Your work will touch everything from real-time coordination of lab equipment, to building frontend tools for steering experiments, to high-performance backend services that run simulations and ML-powered feedback loops.
We work in a deeply technical domain—robotics, ML, and experimental automation—and your software will directly control and monitor systems in the real world.
You’re an engineer who thrives on building complex systems that touch real hardware, manage asynchronous workflows, and surface meaningful interfaces to end users. You’re comfortable moving between abstraction layers, and you take ownership of problems from design to debugging in production.
You may not have done all of the following, but the prospect of learning and owning these technologies excites you:
About You
- Python expertise, especially with context managers and asynchronous programming using asyncio. You’ve built services that coordinate concurrent processes and understand event loops, clean cancellation, and backpressure.
- Rust experience or a strong interest in systems programming. You appreciate its guarantees and have used it (or want to use it) for high-performance orchestration, drivers, or data handling where Python falls short.
- Familiarity with distributed systems patterns such as idempotent task execution, event-driven workflows, pub/sub messaging, and retry semantics.
- Experience with gRPC, protocol buffers, and versioned API design. You’ve worked on strongly typed service boundaries and understand the tradeoffs in service mesh vs monolith architectures.
- Frontend engineering experience with Svelte, React, or similar frameworks. You’ve built responsive, real-time interfaces and care about state management, testing, and usability. You’ve worked with structured APIs and understand browser performance implications.
- Comfort with telemetry, observability, and debugging tools—structlog, OpenTelemetry, Prometheus, Grafana, etc. You think about how systems fail and how to make failure modes easy to diagnose.
- Experience with hardware-adjacent software: robotics SDKs, sensor interfaces, PLCs, or simulation environments (e.g. ROS, PyBullet, or custom test benches for hardware-in-the-loop testing).
- Familiarity with CI/CD, containerization (Docker), and hybrid cloud/on-prem environments. You understand how to build for reproducibility and deploy in controlled lab settings.
- You’re driven by technical depth and product impact. You want your code to directly influence what happens in the real world—and you’re eager to work alongside roboticists, ML engineers, and scientists to make that happen.
Pluses
- Experience with robotic APIs, lab automation protocols, or hardware integration (e.g., ROS, Modbus, serial interfaces).
- Familiarity with real-time systems, state machines, or control loops.
- Experience writing developer-facing SDKs or command-line tools.
- Exposure to scientific computing, simulation pipelines, or ML infrastructure.
- Experience working with structured telemetry, logs, or time-series data.
- Comfort developing and debugging in hybrid on-prem/cloud environments (e.g., Docker, k8s).
What we offer
- A competitive compensation package also includes the best in benefits:
- Medical, dental, and vision insurance for you and your family
- 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.
$200 - $250 a year
+ Equity + Benefits; base pay offered may vary depending on job-related knowledge, skills, and experience.
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.
