Principal Python Engineer, Code Metal
AI-powered development at the edge
Be an early applicant
AI-powered development at the edge
21-100 employees
Be an early applicant
21-100 employees
Company mission
To push the boundaries of AI development, bringing decades of experience, innovation, and a passion for cutting-edge technology to every project we undertake.
Role
Who you are
- 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
Desirable
- Familiarity with agentic AI frameworks and solutions
- Familiarity with code analysis / static analysis
- Experience working with cloud-based distributed systems (AWS, GCP, Azure)
What the job involves
- We are looking for an experienced software engineer to help us build a new generation of code translation tools enabled by AI and modern verification techniques that promises to bridge the gap between algorithm development and deployment to embedded systems
- 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
- Define Software Architecture for Agentic AI pipelines. Architect and implement complex workflows involving state machines, message queues, and distributed processing
- Build well tested extensible code foundations for code translation products
- Collaborate with domain specialists to incorporate formal verification and static analysis methods into code generation pipeline
- Design language-agnostic code translation architecture patterns from practical examples
- Design, build and deploy multi-language code and library analysis tools at scale
- Work with cloud services and distributed architectures to ensure high availability
Our take
Worldwide spending on edge computing is growing at an astronomical rate. But, as organisations move to migrate their apps to the edge, the disparate nature of their approaches is making deployment difficult.
Code Metal is out to combat this with its modular, AI-powered workflows that support simpler and faster edge development. Its approach has been honed by previous work translating complex research algorithms for platform use, which it is now focusing on hardware apps for the edge.
The company has already made a splash in the space through some high-profile partnerships with the likes of L3Harris, a renowned American defence contractor. It has also raised substantial funding that it will use to expand its team, platform and launch within key industries.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Nov 2025
$36.5m
SERIES A
Jul 2024
$13m
SEED
Total funding: $52.7m
Company benefits
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Paid Time Off (Uncapped Vacation, plus Sick & Public Holidays)
- Flexible hybrid work arrangement
- Relocation assistance for qualifying employees
Company HQ
South Boston Waterfront, Boston, MA
Leadership
Peter Morales
(CEO)Board Member at Gamebeast. Former CTO of Orange Comet, Mixed Reality Engineer at Microsoft and Technical Staff Member at MIT Lincoln Laboratory.
Alex Showalter-Bucher
(SVP of Technology)Previously Director of Engineering at Orange Comet, CTO at Mint State Labs and Associate Technical Staff Member at MIT Lincoln Laboratory.
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