Staff SDET – Modeling & Simulation (Remote/Hybrid)

Code Metal, Inc.; San Francisco (CA); Hybrid; USD 140.000 - 210.000; Vollzeit

Benefits dieser Stelle

Health care plan

401k with matching

Paid Time Off

Flexible hybrid or remote work

Relocation assistance

Zusammenfassung

Code Metal, Inc. is seeking a founding Staff Quality Engineer (SDET) for Modeling & Simulation to strengthen and scale automated validation across distributed services, AI-assisted workflows, and mission-critical systems.

You will design and build automated validation platforms, write critical tests, and mentor engineers while collaborating with DoW-focused simulation teams to deliver verifiable, auditable test evidence for reliability and safety.

Qualifikationen

• Significant experience as an SDET, test-infrastructure engineer, quality architect, or software engineer responsible for automated validation of production systems.
• Strong production programming skills in Python.
• Deep experience building Python test infrastructure using pytest or comparable frameworks, including asynchronous testing, fixtures and factories, parallel execution, and CI integration.
• Demonstrated experience designing risk-based test strategies across multiple layers of a distributed system.
• Experience validating complex systems with partially nondeterministic behavior, such as simulation, statistical models, ML, or AI-assisted workflows.
• Hands-on experience testing Docker-based or comparable containerized, multi-service applications, including APIs, databases, messaging, authentication, authorization, and data isolation.
• Experience building and improving CI workflows with GitHub Actions or a comparable platform, including test isolation, failure diagnosis, and flaky-test control.
• Ability to set technical direction, write design documents, mentor engineers, and lead multi-team initiatives through influence.

Aufgaben

• Translate Quality Engineering strategy into a risk-based validation approach for Modeling & Simulation across unit, integration, contract, end-to-end, performance, resilience, and security-critical workflows.
• Build reliable test infrastructure, including deterministic fixtures, isolated test data, service and event-contract tests, integration harnesses, versioned reference scenarios, deterministic replay, and focused browser automation for critical user journeys.
• Improve CI feedback through effective test partitioning, parallel execution, caching, failure attribution, and flaky-test control, in partnership with shared platform owners.
• Write behavior-focused tests for high-risk planning, sensing, simulation, authorization, state-transition, and recovery workflows.
• Partner with simulation and model owners to turn intended behavior, assumptions, and known limitations into reusable reference scenarios, regression baselines, characterization or differential tests, and reproducible quality evidence.
• Define validation and release criteria for simulation and emerging AI-assisted workflows, combining deterministic assertions, contracts, reference checks, statistical or model-based evaluation, failure-recovery testing, and appropriate human oversight.
• Establish repeatable performance and reliability validation with measurable objectives and clear release evidence.
• Participate in design and code reviews, identify testability risks early, and mentor engineers in testing complex simulation, distributed-system, and AI-assisted changes without becoming an approval bottleneck.
• Turn lessons from Modeling & Simulation into reusable quality bars, reporting practices, testing standards, and validation infrastructure for the centralized Quality Engineering function.

Kenntnisse

Python

pytest

CI/CD

Distributed systems

SDET

Test infrastructure

Mentoring

Ausbildung

Bachelor's degree in CS/Engineering

Tools

Docker

GitHub Actions

Playwright

Jobbeschreibung

Code Metal, Inc. is seeking a founding Staff Quality Engineer (SDET) for Modeling & Simulation to strengthen and scale automated validation across distributed services, AI-assisted workflows, and mission-critical systems.

You will design and build automated validation platforms, write critical tests, and mentor engineers while collaborating with DoW-focused simulation teams to deliver verifiable, auditable test evidence for reliability and safety.