Software Engineer

Job Description

Job Description

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 Software Engineer at Radical, you’ll design and build core infrastructure that underpins how software interacts with our autonomous labs. You’ll own foundational components such as orchestration layers, telemetry pipelines, fault recovery systems, and data layers. Your code will run in close proximity to real-world instruments—executing experiments, managing state, and ensuring safe and deterministic behavior in our hardware stack.

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 a systems-minded engineer who thrives in environments where the boundary between software and hardware is thin. You’ve built software that runs close to the metal and you think about how systems fail just as much as how they succeed.

You may not have done all of the following, but the prospect of learning and owning these technologies excites you :

About You

• Strong systems programming experience in Python, Go, Rust, or C++. You’ve written real-world state machines, gRPC or protobuf-based APIs, and low-latency services.
• Deep familiarity with concurrent and asynchronous programming, including event loops, cancellation semantics, bounded queues, and task orchestration under failure modes. You know how to handle timeouts, retries, and device-level race conditions.
• You’ve designed device orchestration layers that can execute long-running procedures, monitor device health, and stream telemetry. You know how to propagate failure states and build for partial availability.
• You’ve built and debugged protocol-aware interfaces for serial, TCP, USB, I²C, or similar buses. You understand framing, handshake patterns, and flow control when dealing with instruments or embedded systems.
• You’ve worked on telemetry pipelines using structured logs and time-series data, built systems for ingesting and querying device state, and understand the differences between high-frequency signal capture vs sparse control logs.
• Experience designing and operating fault-tolerant distributed systems, where retries, idempotency, dead-letter queues, and safe rollback are all table stakes.
• You think about observability by default—instrumenting code with structured logs, metrics, traces, and ensuring diagnostics can be surfaced without modifying code post-deployment.
• Familiarity with Kubernetes and containerization.
• You’ve built for on-prem, reproducible deployment, and understand the challenges of deploying to a real lab where hardware, software, and network conditions are rarely ideal.

Pluses

What we offer

Salary Description

Competitive salary + Equity + Benefits; base pay offered may vary depending on job-related knowledge, skills, and experience.

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.