The Role
As a Systems Engineer, you will design and build infrastructure for software and hardware interactions, working closely with materials R&D and AI technologies.
Summary Generated by Built In
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 build the core software that powers our autonomous lab and AI platform. This is a generalist role: you might work on backend services, agent tooling, data + orchestration, internal platforms, and the infrastructure that keeps everything secure, observable, and reliable in production.
We work in a deeply technical and cross-discipline domain—robotics, ML, and experimental automation—and your software will directly control and monitor systems in the real world. You may not have done all of the things we mention on this posting, but the prospect of learning and owning these technologies excites you.
About You
- Strong fundamentals: you can design, build, and ship production software end-to-end.
- Experience with modern backend development (Python, Go, Rust, or similar).
- 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.
- Comfort with distributed systems realities: timeouts, retries, async/concurrency, partial failure, debugging in production.
- Experience designing and operating fault-tolerant distributed systems, where retries, idempotency, dead-letter queues, and safe rollback are all table stakes.
- Familiarity with Kubernetes and containerization.
- Strong engineering taste: you prioritize correctness, maintainability, and clear interfaces.
- High ownership: you proactively find problems, drive fixes, and raise the bar for quality .
Some things you might work on
- Agent capabilities and “tools” (e.g., internal/external API integrations, code execution, scientific literature retrieval, workflow automation).
- Scientific workflow orchestration (e.g., Bayesian optimization loops, experiment scheduling, long-running job execution, retries/idempotency).
- Pipelines for ingesting, storing, and transforming data used by models and LLMs.
- Internal platforms that make engineers faster: developer tooling, SDKs, shared services, service templates.
- Observability and reliability systems: structured logs, metrics, tracing, debugging workflows (OpenTelemetry, Prometheus/Grafana, etc.).
- Hybrid infra (cloud + on-prem), containerization, orchestration, and infrastructure-as-code.
Pluses
- Experience with agentic systems / LLM workflows (LangChain, PydanticAI, tool-calling, context management).
- Infrastructure experience: Docker, Kubernetes, Terraform/CloudFormation, cloud + on-prem deployments.
- Experience with CI/CD systems (GitHub Actions, Jenkins, CircleCI) and/or DevSecOps practices.
- Experience with embedded protocols (e.g., serial, I²C, Modbus), device virtualization, or microcontroller firmware.
- Strong observability experience (Datadog, Prometheus, Grafana, ELK, tracing) .
- Contributions to systems for robotics, automation, or manufacturing infrastructure.
- 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 designing reproducible and testable systems for devices that don’t always behave perfectly.
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.
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.
Top Skills
C++
Grpc
I²C
Kubernetes
Protobuf
Python
Rust
Serial
Tcp
Usb
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The Company
What We Do
Radical AI is accelerating materials R&D.
Through the integration of artificial intelligence, engineering, materials science, and applied research, we are changing the way materials are designed, developed, and discovered. In doing so we are tackling the world's most pressing problems.
