Code Metal: Verifiable, AI-enabled code translation. For companies doing edge development, code portability, and code modernization across industries like automotive, defense, semiconductors, and aerospace. Speed time-to-market, meet safety and compliance... Backed by Accel.
About the role
Code Metal's engineering teams are building AI-driven code transpilation, modernization, optimization, modeling and simulation solutions. They all need the same foundations: models to serve, agents to run, context to manage, and results to measure. Our AI Platform team builds those foundations. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Production-grade Python and solid platform engineering fundamentals: API and service design, distributed systems, containers and orchestration (such as Kubernetes), CI/CD, and testing
- Model serving: deploying and tuning LLM inference, or running an LLM gateway or API gateway
- Agentic infrastructure: shipping agentic systems, or building context-engineering services such as retrieval-augmented generation, embeddings, and vector or hybrid search
- Observability and experimentation: instrumenting and operating services against SLOs, or building evaluation and experiment-tracking systems
- Solid data science and AI research fundamentals: how transformers and LLM inference work, experiment design, benchmarking, and model evaluation. Working familiarity with PyTorch and Hugging Face
- Experience owning a service or component in production, including debugging and improving its reliability
More about this role
Code Metal is the leader in automated software engineering you can trust. As AI writes more of the world's code, the bottleneck in software has shifted from writing code to verifying it works, and AI cannot verify its own work with certainty. Code Metal takes a fundamentally different approach: constrain AI to what it does reliably, verify every step independently of the model using formal methods, and keep engineers in the loop on the decisions that matter. The result isn't code that probably works — it's code that is provably correct, with auditable proof. Customers including the U.S. Air Force, L3Harris, RTX, and Toshiba use Code Metal to modernize legacy code, optimize performance on real hardware, and move prototypes to production, fast. Founded in 2023 with offices in Boston and San Francisco, Code Metal is funded by Accel, Salesforce Ventures, B Capital, Smith Point Capital, J2 Ventures, Shield Capital, Overmatch, RTX, and others.
Learn more at codemetal.ai .
Code Metal's engineering teams are building AI-driven code transpilation, modernization, optimization, modeling and simulation solutions. They all need the same foundations: models to serve, agents to run, context to...
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