Senior Software Engineer, Quality Integration
$146,000–$194,000 year
On-siteCosta Mesa, California, United States
Job Summary
Build and maintain comprehensive, representative test environments, including hardware-in-the-loop (HITL) systems, to verify Lattice workflows ahead of release. Develop and implement robust automated systems for development, verification, and deployment, ensuring high standards of quality and performance for software tools landing on product offerings. Maintain and improve integration of performance testing into CI/CD pipelines, establishing baselines and enforcing reliability engineering best practices to proactively prevent regressions. Implement AI-enabled automation to identify and fix issues early in the dev cycle without impacting developer experience. Run design reviews, mentor junior engineers, and drive features from ambiguous problem statements to green-in-CI code across multiple teams. Own critical subsystems that other engineers depend on within complex ecosystems involving multi-stage release pipelines and Cloud/Robot environments.
Required Qualifications
- 10+ years of experience building automated verification suites at scale
- DevOps practices, CI/CD pipeline development (e.g., Jenkins, GitLab CI, GitHub Actions), SRE principles, automated testing frameworks, scripting for automation, understanding of software development lifecycles
- Hands-on experience automating Hardware-in-The-Loop (HITL), and Software-in-The-Loop (SITL) engineering and utilization in production release process
- Expertise in developing and implementing various software development tests, including automated regression testing, unit testing, and integration testing
- Proficiency in Python for automation, scripting, and system development
- Professional experience with containerization workflows and Terraform
Desired Qualifications
- Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Mathematics, Physics, or a related technical field, or equivalent practical industry experience
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes)
- NixOS experience
- Experience working in a regulated industry or with systems requiring high reliability and traceability
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