
Open since Jun 2026
Principal Python Engineer
AI Summary
Architects and implements agentic AI pipelines and multi-language code analysis tools to translate code across languages for mission-critical industries, integrating formal verification and static analysis into scalable code translation products.
About this role
About Code Metal
Code Metal is redefining code translation for mission-critical industries, helping defense partners move more quickly and reliably from algorithm to silicon. Our platform accelerates deployment of DSP, RF, communications, and embedded signal processing algorithms onto heterogeneous compute targets, including GPUs, FPGAs, ASICs, and edge SoCs. We also support automotive, aerospace, and semiconductor partners deploying complex algorithms onto constrained hardware with speed and rigor.
In this role you will play a lead role in architecting and implementing a common platform for novel code translation pipelines that use a mix of Generative AI, Static Analysis and Formal Verification methods to translate code written in one language to another. You will also design, build and deploy multi-language code analysis/retrieval tools at scale.
About the role
You'll architect and implement agentic AI pipelines, including state machines, message queues, and distributed processing, while building extensible, well-tested foundations for code translation products. You'll design language-agnostic translation patterns, build and deploy multi-language code analysis tools at scale, and collaborate with domain specialists to integrate formal verification and static analysis into the code generation pipeline. Strong command of cloud services and distributed architectures is essential.
Required Requirements:
Seven or more years of experience with collaborative enterprise-level software development in Python to deliver products to a large customer base
Demonstrated experience gathering requirements from stakeholders and distilling them into software designs
Demonstrated experience planning and executing on large projects in a team-based setting
Demonstrated history of building and delivering robust software by employing best practices throughout the SDLC process, including Code review, Testing, Continuous integration, Release management and Build systems
Familiarity with Machine Learning Tools and Frameworks
Expertise in building scalable APIs (REST, GraphQL, gRPC).
Hands-on experience with Docker and containerized application development.
Eligible to obtain and maintain an active U.S. Top Secret security clearance
Preferred Qualifications:
Familiarity with agentic AI frameworks and solutions
Familiarity with code analysis / static analysis.
Experience working with cloud-based distributed systems (AWS, GCP, Azure).
Active U.S. security clearance (Secret or Top-Secret)
Benefits
Pay depends on experience, but we strive to be at the upper end of the salary range
Health care plan with 100% premium coverage, including medical, dental, and vision
401k with 5% matching
Paid Time Off (uncapped vacation, plus sick and public holidays)
Flexible hybrid or remote work arrangement
Relocation assistance for qualifying employees
We are an equal opportunity employer. US Citizenship may be required for certain project assignments involving security clearance.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Skills
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