Renesas Electronics

Tech / AI / Software

Sr.QAEngineer

$150–175k los angeles, california, united states FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Sr. QA Engineer at Renesas Electronics. Skills: quality systems architecture, end-to-end quality strategy, scalable test infrastructure, CI/CD optimization, AI-driven quality engineering. Define, build, and scale quality systems. Architect and implement quality strategy across frontend interfaces and backend services”

What You'll Achieve.

ensure hardware engineers can rely on our platform every day; embedding confidence into how we design, ship, and operate software; elevate quality across the organization; balance speed, coverage, and deployment confidence; detect regressions, surface edge cases, and proactively identify risk; increase velocity while maintaining rigorous standards; strengthen long-term product resilience; enable teams to ship quickly with confidence

Industry & Context.

Tech / AI / Software
Problems you'll solve

think systemically about risk; anticipate where quality risk will concentrate; analytical skills

Eligibility Requirements

U.S. export controls regulations may apply

What They're Looking For.

Must Have

8+ years of professional experience in software quality engineering or software engineering with ownership of quality systems, Bachelor’s degree in Computer Science or related field, proficiency in TypeScript and modern testing frameworks such as Vitest, Jest, and Playwright, Experience testing React frontends and GraphQL-based APIs, Experience working with PostgreSQL and validating data integrity across service layers, Hands-on experience designing and maintaining CI/CD pipelines (GitHub Actions, Jenkins, or similar), architectural thinking with the ability to design scalable, maintainable quality systems, Excellent written and verbal communication skills, Comfort operating in autonomous, fast-paced environments, A product mindset with the ability to anticipate risk across the full feature lifecycle

Nice to Have

Experience building PLM, PDM, or hardware/manufacturing industry software, Background in performance, load, or stress testing, Experience with visual regression testing tools (Percy, Chromatic, BackstopJS), Familiarity with contract testing (Pact or similar), Experience defining release readiness criteria or quality SLAs, Experience working in AI-augmented development environments

What You'll Do.

and scale quality systems

Architect and implement quality strategy across frontend interfaces and backend services

Define and evolve end-to-end quality strategy

Design and maintain scalable test infrastructure

Validate React interfaces

and PostgreSQL data integrity

Architect and refine test pipelines in GitHub Actions (or similar)

Leverage PostHog session replays

and analytics to detect regressions

Utilize AI-augmented development workflows to generate test scaffolding

Lead regression analysis and incident retrospectives

How You'll Work.

Team & Collaboration

Partner closely with engineering, product, and DevOps teammates; Partner early with product and engineering teams to ensure features are testable by design; Collaborate with teams in a fast-moving, highly autonomous environment; Come together as a team in the office for innovation, collaboration and continuous learning

Communication Scope

Excellent written and verbal communication skills; Precision in communication

Process & Methodology

Ownership of quality systems, Defining release readiness criteria, Defining quality SLAs

Full Job Description

About the role: The Senior QA Engineer on the Duro Design team defines, builds, and scales the quality systems that ensure hardware engineers can rely on our platform every day. You’ll architect and implement quality strategy across our modern stack—from frontend interfaces to backend services—embedding confidence into how we design, ship, and operate software. This role partners closely with engineering, product, and DevOps teammates in a fast-moving, highly autonomous environment. We’re looking for engineers who think systemically about risk, embrace experimentation, and leverage modern AI-powered workflows to elevate quality across the organization. This is a hybrid role based in Los Angeles, CA (3 days per week in office). A day in the life of our Senior QA Engineer: Quality Strategy Ownership: Define and evolve our end-to-end quality strategy, determining what gets tested, at which layer, and how coverage maps to real user risk. Test Architecture: Design and maintain scalable test infrastructure across unit, integration, and end-to-end layers using modern frameworks such as Vitest, Jest, and Playwright. Cross-Functional Collaboration: Partner early with product and engineering teams to ensure features are testable by design and quality is embedded before code reaches production. Full Stack Validation: Validate React interfaces, GraphQL APIs, and PostgreSQL data integrity to ensure system-wide reliability. CI/CD Optimization: Architect and refine test pipelines in GitHub Actions (or similar) to balance speed, coverage, and deployment confidence. Experimentation & Analytics: Leverage PostHog session replays, feature flags, and analytics to detect regressions, surface edge cases, and proactively identify risk. AI-Driven Quality Engineering: Utilize AI-augmented development workflows to generate test scaffolding, explore edge cases, and increase velocity while maintaining rigorous standards. Continuous Improvement: Lead regression analysis and incident retrospectiv

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