Staff Software Engineer in Test (Compiler & Systems Validation)

Join Code Metal, a leading company in code-transformation platforms and AI-assisted engineering workflows. As a Staff Software Engineer in Test, you will be responsible for strengthening quality engineering practices, establishing scalable strategies, and improving consistency and coverage. You will work closely with engineering, research, and solutions teams to create clearer quality signals and trustworthy release evidence. This is a unique opportunity to make a significant impact in the field of quality engineering.

• 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.

• Hands-on experience with Linux, containerized environments, continuous integration platforms, and modern build systems
• Significant experience in systems software, compiler or language tooling, developer tools, embedded software, or low-level execution environments
• Strong cross-functional collaboration skills, including partnering with Product to align validation strategies with the product value proposition and customer expectations
• Production-grade programming proficiency in Python and C++, plus the ability to read and debug unfamiliar C and Rust code
• 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
• Typically 8+ years of relevant software engineering, test infrastructure, or quality engineering experience, with demonstrated Staff-level scope and impact. Equivalent depth of experience is valued over a rigid year count
• Strong understanding of memory models, concurrency, runtime performance, and architecture-dependent behavior across CPU, GPU, embedded, or other constrained targets
• Experience designing and scaling automated test frameworks, distributed execution systems, or evaluation pipelines for complex systems software
• Ability to translate ambiguous quality risks into measurable validation plans, explain tradeoffs clearly, and lead technical work across team boundaries
• Familiarity with formal verification and experience translating research methods into practical engineering checks
• Experience improving and scaling quality practices for complex, nondeterministic, or high-consequence software systems
• Experience establishing repeatable validation environments and traceable engineering evidence
• Deep hands-on experience with compilers, language tooling, intermediate representations, ABI compatibility, or cross-language semantic validation
• Professional experience in regulated, safety-critical, or high-assurance domains such as defense, aerospace, automotive, medical devices, industrial systems, or semiconductor platforms
• Experience evaluating agentic or AI-assisted systems and translating their risks into practical quality controls