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About the Role

Code Metal is seeking a Software Engineer in Test (SDET) to build upon existing validation practices, identify gaps, establish scalable practices, improve consistency and coverage, and create clearer quality signals and trustworthy release evidence in partnership with Engineering, Research, and Solutions.

Responsibilities

Assess existing validation practices, identify material gaps, and establish scalable quality strategies for code-generation, transpilation, and software-transformation workflows.
Strengthen quality practices for AI-assisted and agentic workflows, with sound judgment about reliability, reproducibility, risk, and appropriate oversight.
Build automated quality and regression infrastructure for AI-assisted software workflows that produces reproducible engineering evidence.
Strengthen and standardize quality signals and release evidence, including regression trends, failure attribution, validation results, and documented readiness criteria.
Diagnose complex failures across C/C++, Rust, Python, build systems, generated code, and heterogeneous target environments; make focused corrections where practical and partner with owning teams on deeper fixes.
Integrate validation suites and quality gates into delivery workflows while collaborating with, rather than replacing, the team responsible for shared CI/CD and developer infrastructure.
Lead quality practices for this space, establish technical standards, mentor engineers, and help shape the Quality Engineering function’s roadmap, operating model, and cross-team interfaces.

Requirements

Significant experience in systems software, compiler or language tooling, developer tools, embedded software, or low-level execution environments.
Production-grade programming proficiency in Python and C++, plus the ability to read and debug unfamiliar C and Rust code.
Experience designing and scaling automated test frameworks, distributed execution systems, or evaluation pipelines for complex systems software.
Strong understanding of memory models, concurrency, runtime performance, and architecture-dependent behavior across CPU, GPU, embedded, or other constrained targets.
Hands-on experience with Linux, containerized environments, continuous integration platforms, and modern build systems.
Ability to translate ambiguous quality risks into measurable validation plans, explain tradeoffs clearly, and lead technical work across team boundaries.
Strong cross-functional collaboration skills, including partnering with Product to align validation strategies with the product value proposition and customer expectations.
Experience validating AI-assisted or nondeterministic software systems, with sound judgment about AI limitations, reproducibility, independent test evidence, and when deterministic controls or human oversight are required.

Skills

Python
C++
C
Rust
Linux
containerized environments
continuous integration platforms
modern build systems
AI-assisted software systems
nondeterministic software systems
compilers
language tooling
intermediate representations
ABI compatibility
cross-language semantic validation
formal verification

Location

Boston
San Francisco
remote

Work Type

hybrid
remote

Experience Level

Staff-level
8+ years

Salary/Compensations

Pay depends on experience, but we strive to be at the upper end of the salary range
The salary range for this role is not a guarantee of compensation or salary, as the final offer amount may vary based on factors including, but not limited to, individual proficiency, skills, experience, and location.

Benefits

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)
Relocation assistance for qualifying employees

About the Company

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.

Equal Opportunity

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.