Preparation for Aeva requires a blend of deep technical mastery and a pragmatic, data-driven mindset. You must be able to explain not just how you test, but why your testing strategy is the most effective for the specific hardware constraints of Aeva’s 4D LiDAR.

Role-related Knowledge – You will be expected to demonstrate a deep understanding of your specific sub-field, whether it is photonics, EMC, or PCBA design. Interviewers will look for your familiarity with industry standards (e.g., ISO, AEC-Q) and your ability to apply them to specialized hardware.

Problem-solving Ability – Aeva values engineers who can deconstruct complex, ambiguous failures into logical, manageable components. You should be ready to talk through a "debugging" scenario where you have limited data and must form a hypothesis based on physical evidence.

Leadership and Communication – As a QA Engineer, you act as a gatekeeper for quality. You must demonstrate the ability to communicate technical risks to non-technical stakeholders clearly and confidently without compromising on safety or quality standards.

The interview process at Aeva is designed to be rigorous and highly collaborative. You should expect an initial screening call with a recruiter to discuss your background, followed by a series of technical deep-dive interviews. These sessions often involve members of the Photonics, Hardware Engineering, and Product teams to ensure you can function effectively across different technical disciplines.

The process typically moves from high-level architectural or domain-specific discussions to more granular, problem-solving sessions. You will likely face "whiteboard" style technical challenges or deep-dive reviews of your past projects. The pace is generally steady, and the company places a high premium on candidates who demonstrate both intellectual curiosity and a disciplined, analytical approach to hardware engineering.

The timeline above highlights the transition from initial screening to specialized technical assessments. Candidates should interpret this as a progression toward increasing technical depth; ensure your preparation for the final rounds is focused on the specific hardware nuances of the role you are targeting.

Hardware Reliability & Testing

• This area is the core of your evaluation. You must demonstrate a deep understanding of physical stress testing and validation.
• Be ready to go over:
  • Failure Mode and Effects Analysis (FMEA) – How you identify and prioritize risks.
  • Environmental Stress Screening (ESS) – Techniques for thermal, vibration, and shock testing.
  • Automotive Standards – Familiarity with the rigorous requirements for automotive-grade hardware.
• Example questions: "How do you define pass/fail criteria for a new sensor component?" or "What is your process for validating a component that fails once every 1,000 cycles?"

Automation & Scripting

• Aeva relies on automation to maintain its competitive edge in production. Your ability to write clean, maintainable, and efficient code is essential.
• Be ready to go over:
  • Scripting proficiency – Proficiency in Python or similar languages is expected for test automation.
  • Data Analysis – How you handle large datasets generated by automated test benches.
  • Hardware-Software Integration – Understanding the interface between your test code and the physical test equipment.

As a QA Engineer at Aeva, you are the bridge between design and mass production. Your day-to-day will involve defining test plans, building the automation infrastructure to execute those plans, and analyzing the resulting data to drive design improvements. You will work closely with Photonics Engineers to understand the sensitivity of the hardware and with Manufacturing Engineers to ensure that testing is integrated seamlessly into the production line.

You will be responsible for managing the lifecycle of your test equipment, ensuring that all tools are calibrated and reliable. Furthermore, you will play a key role in the Continuous Improvement process, using the data you collect to provide actionable feedback to the design teams, thereby reducing failure rates and improving yield over time.

A strong candidate for this role possesses a unique combination of hardware knowledge and software automation skills. You should highlight your experience in high-tech, hardware-heavy industries.

• Must-have skills:
  • Strong background in hardware testing or quality engineering.
  • Proficiency in Python or equivalent scripting for test automation.
  • Deep understanding of statistical analysis and data-driven decision-making.
  • Experience in a fast-paced, R&D-heavy environment.
• Nice-to-have skills:
  • Specific experience with LiDAR or optical systems.
  • Knowledge of EMC testing and automotive compliance.
  • Experience with LabVIEW or other specialized test bench software.

Q: How long does the interview process typically take? A: Candidates can generally expect the process to span 3 to 6 weeks from the initial screen to a final decision, depending on the complexity of the role and scheduling.

Q: What is the most important trait for a candidate to demonstrate? A: Aeva looks for "ownership." We want engineers who take responsibility for the entire testing lifecycle and who are proactive in surfacing potential risks before they become production issues.

Q: How much of the interview is coding vs. domain knowledge? A: For most QA Engineer roles, the split is roughly 30% coding/automation and 70% domain-specific hardware knowledge. You should be prepared to write code, but your understanding of physics and hardware reliability is what will truly set you apart.

• Prepare your case studies: Be ready to walk through at least two projects where you identified a major hardware failure and designed a test to catch it.
• Understand the product: Spend time researching Aeva’s 4D LiDAR technology. Understanding the fundamental physics of how the product works will give you a significant advantage in reliability discussions.
• Focus on data: Always frame your answers with data. Whether it's yield percentages or test coverage metrics, numbers demonstrate your professional maturity.
• Ask insightful questions: Use your time to ask about the team’s current testing bottlenecks or how they are scaling their test automation for mass production.

The QA Engineer role at Aeva is a challenging, pivotal position that demands a high degree of technical rigor and a passion for building reliable, life-changing technology. By focusing your preparation on hardware reliability, automation, and clear communication of complex technical risks, you will be well-positioned to demonstrate your value to the team.

Your ability to bridge the gap between design and physical realization is what Aeva needs to push the boundaries of sensing technology. We encourage you to reflect on your past engineering successes, refine your understanding of hardware-software integration, and approach your interviews with the confidence of an expert. You have the potential to contribute meaningfully to the future of autonomous systems at Aeva.