Software Quality Assurance Engineer

Applied Intuition Applied Intuition · Robotics · Sunnyvale, CA · Self-Driving Systems

This role focuses on establishing and maintaining the Quality Assurance process for the Self-Driving System (SDS) organization, ensuring compliance with Automotive SPICE and ISO 9001:2015 standards. The engineer will collaborate with various teams to define, deploy, and improve processes, conduct audits, manage non-conformances, and define quality KPIs. While the company works with physical AI and autonomous systems, this specific role is centered on quality assurance processes rather than direct AI/ML model development.

What you'd actually do

  1. Define, implement, and maintain the Quality Assurance process, Work Instructions, and quality criteria for SDS in compliance with ASPICE and ISO 9001:2015
  2. Collaborate with process owners to develop process descriptions, RASIC matrices, and templates aligned with ASPICE PAM, and support their deployment across SDS projects
  3. Drive process training and awareness across engineering, management, and support teams
  4. Perform independent work product and process audits to verify compliance with ASPICE, ISO 9001:2015, and internal quality standards
  5. Conduct internal assessments against defined ASPICE capability level targets

Skills

Required

  • BS, MS, or PhD in Electrical Engineering, Computer Science, or other related fields
  • 3+ years of experience in automotive SW quality assurance/ engineering
  • Solid understanding and hands-on experience with Automotive SPICE (ASPICE) and ISO 9001:2015 compliance
  • Experience developing process documentation, including Work Instructions, process descriptions, templates, and RASIC matrices
  • Experience in conducting work product audits, process audits, according to ASPICE, process compliance with ISO9001:2015 and driving quality issues to closure.
  • Experience with problem solving methodologies, including hands-on knowledge of 8D, 5-Why, and Fishbone (Ishikawa) root cause analysis methodologies
  • Experience defining and reporting quality metrics and KPIs, with strong data analysis and interpretation skills
  • Ability to read and review C, C++ and Python code for quality assurance purposes; code development not required
  • Experience with process documentation and knowledge of process framework, hierarchy, and guideline development
  • Preparation and presentation of software product quality status, including quality metrics, audit metrics, top quality issues, and risks

Nice to have

  • intacs® certified Automotive SPICE Provisional or Competent Assessor
  • Certified Internal Quality Management System Auditor — ISO 9001 or IATF 16949
  • Experience with ASPICE PAM v4.0 processes MLE (Machine Learning Engineering) and HWE (Hardware Engineering)
  • Knowledge of Continuous Integration/Continuous Deployment (CI/CD) practices and tools (e.g., Jenkins, GitHub Actions, Buildkite)
  • Experience with automated testing frameworks (e.g., GTest, Pytest) for quality review purposes
  • Familiarity with version control systems (e.g., Git, SVN)
  • Experience with international industry standards ISO 26262 and/or ISO/SAE 21434
  • Familiarity with automotive standards and protocols (e.g., CAN, LIN, OBD-II)
  • Experience with tools such as Jira, Confluence, Polarion, Codebeamer, and Power BI dashboards

What the JD emphasized

  • Automotive SPICE
  • ISO 9001:2015
  • quality assurance
  • process compliance
  • work product audits
  • process audits