Staff Software Engineer in Test (Compiler & Systems Validation)

Code Metal, Inc.; United States; Hybrid; USD 140.000 - 180.000; Vollzeit

Benefits dieser Stelle

401k / Retirement plan

Flexible hybrid work arrangement

Health Care Plan (Medical, Dental &amp

Vision

Paid Time Off

Relocation assistance

Zusammenfassung

Code Metal, Inc. is seeking the first dedicated Software Engineer in Test (SDET) to shape quality practices for code-generation and AI-assisted workflows. You will build scalable QA infrastructure, drive reliability, and partner with Engineering, Research, and Solutions to deliver trustworthy releases.

You will diagnose complex failures across languages and build systems, mentor engineers, and establish standards for validation and release readiness.

Qualifikationen

• 8+ years in software engineering, test infra, or quality engineering
• Experience with Python and C++
• Experience with AI-assisted or nondeterministic systems
• Ability to read and debug C and Rust code
• Architect automated test frameworks and pipelines
• Knowledge of memory models and concurrency

Aufgaben

• Assess existing validation practices, identify gaps, and establish scalable quality strategies for code-generation, transpilation, and software-transformation workflows
• Build automated quality and regression infrastructure for AI-assisted software workflows
• Strengthen and standardize quality signals and release evidence, including regression trends and validation results
• Diagnose complex failures across C/C++, Rust, build systems, and target environments and coordinate fixes
• Integrate validation suites and quality gates into delivery workflows with CI/CD teams

Kenntnisse

Python

C++

C

Rust

Automated testing

CI/CD

Cross-functional collaboration

Tools

Linux

Containerization

CI platforms

Build systems

Compiler tooling

Jobbeschreibung

• Code Metal is strengthening Quality Engineering across its code-transformation platforms, language toolchains, and AI-assisted engineering workflows
• Our teams already have meaningful validation practices in place
• As the first dedicated Software Engineer in Test (SDET) hire for this space, reporting to the Director of Quality Engineering, you will build on those foundations - identifying gaps, establishing scalable practices, improving consistency and coverage, and creating clearer quality signals and trustworthy release evidence in partnership with Engineering, Research, and Solutions
• 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

Benefits

• Retirement Plan (401k, IRA)
• Flexible hybrid work arrangement
• Health Care Plan (Medical, Dental & Vision)
• Paid Time Off (Uncapped Vacation, plus Sick & Public Holidays)
• Relocation assistance for qualifying employees

Hands-on experience with Linux, containerized environments, continuous integration platforms, and modern build systemsSignificant experience in systems software, compiler or language tooling, developer tools, embedded software, or low-level execution environmentsStrong cross-functional collaboration skills, including partnering with Product to align validation strategies with the product value proposition and customer expectationsProduction-grade programming proficiency in Python and C++, plus the ability to read and debug unfamiliar C and Rust codeExperience 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 requiredTypically 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 countStrong understanding of memory models, concurrency, runtime performance, and architecture-dependent behavior across CPU, GPU, embedded, or other constrained targetsExperience designing and scaling automated test frameworks, distributed execution systems, or evaluation pipelines for complex systems softwareAbility to translate ambiguous quality risks into measurable validation plans, explain tradeoffs clearly, and lead technical work across team boundariesFamiliarity with formal verification and experience translating research methods into practical engineering checksExperience improving and scaling quality practices for complex, nondeterministic, or high-consequence software systemsExperience establishing repeatable validation environments and traceable engineering evidenceDeep hands-on experience with compilers, language tooling, intermediate representations, ABI compatibility, or cross-language semantic validationProfessional experience in regulated, safety-critical, or high-assurance domains such as defense, aerospace, automotive, medical devices, industrial systems, or semiconductor platformsExperience evaluating agentic or AI-assisted systems and translating their risks into practical quality controls