Preparation for Aeva requires a balance of deep technical mastery and clear, structured communication. Do not just focus on coding syntax; focus on the why behind your architectural decisions.

Technical Fluency – You must demonstrate a deep understanding of C/C++ in embedded contexts. Interviewers look for candidates who understand memory management, pointer arithmetic, and hardware abstraction layers.

Systems Thinking – You will be evaluated on your ability to visualize the entire system, from the kernel level to the application layer. Be prepared to discuss how your software interacts with sensors, buses, and processors.

Problem-Solving Methodology – When faced with a complex system-level bug, walk the interviewer through your diagnostic process. We value structured, logical approaches to debugging over lucky guesses.

The interview process at Aeva is designed to be efficient, reflecting the fast-paced nature of our work. You should expect a streamlined progression that values your time while rigorously testing your technical capabilities. The process typically moves from an initial screening to technical deep dives and concludes with a team-oriented hiring manager interview.

Expect a high degree of technical scrutiny. Our interviewers are looking for engineers who can hit the ground running. While the process is generally fast, you should be prepared for intense, back-to-back technical sessions that cover everything from algorithmic coding to hardware-specific debugging.

The visual timeline above outlines the typical stages of our hiring process. Use this to pace your preparation, ensuring you have refreshed your knowledge of both theoretical computer science and practical embedded development before the onsite rounds.

Embedded Fundamentals

We prioritize candidates who understand the hardware-software contract. You will be evaluated on your ability to write code that is not only functional but also hardware-aware.

Be ready to go over:

• Memory Management – Heap vs. stack, fragmentation, and alignment.
• Concurrency – Priority inversion, deadlocks, and thread synchronization.
• Hardware Interfacing – I2C, SPI, UART, and DMA configurations.

Example scenarios:

• "Explain how you would implement a driver for a new sensor on an embedded platform."
• "What happens in the system when you encounter a segmentation fault in a kernel module?"

System Design and Architecture

We need engineers who can build scalable and maintainable firmware. This area tests your ability to plan before you code.

Be ready to go over:

• Software Modularity – Decoupling hardware drivers from application logic.
• Real-time constraints – Designing systems that meet strict timing deadlines.
• Debugging – Strategies for using logic analyzers, oscilloscopes, or GDB in complex systems.

Example scenarios:

• "How would you structure a project that needs to run on both a high-end processor and a low-power microcontroller?"
• "Describe the trade-offs between polling and interrupt-driven architectures."

As an Embedded Engineer, your primary objective is to develop and maintain the firmware that powers our 4D LiDAR systems. You will be responsible for the full software development lifecycle of embedded components, from requirements gathering and architecture design to implementation, testing, and deployment.

You will work cross-functionally, acting as the bridge between the hardware team—who provides the physical sensing platform—and the perception team, who consumes the data. You will spend significant time optimizing code for performance, ensuring that our sensors operate with minimal latency and maximum reliability. Typical initiatives include enhancing driver performance, improving system stability under stress, and implementing new features that enable higher-fidelity perception.

A strong candidate for this role possesses a blend of academic rigor and hands-on laboratory experience. We look for individuals who are comfortable working in a lab environment and debugging code directly on hardware.

• Must-have skills – Expert-level C/C++, deep experience with RTOS (e.g., FreeRTOS), and a strong grasp of microprocessor architecture.
• Nice-to-have skills – Experience with Yocto or Petalinux, familiarity with FPGA integration, and knowledge of control theory (PID loops).
• Experience – We value candidates who have shipped products or worked on complex embedded systems that involve high-speed data acquisition or real-time processing.

Q: How long does the interview process typically take? A: Aeva is known for a relatively quick hiring process. Many candidates find that the cycle from the initial screen to a final decision is faster than at larger, more bureaucratic organizations.

Q: What is the best way to stand out during the interview? A: Demonstrate "systems thinking." Successful candidates don't just solve the coding problem; they explain the implications of their solution on power, latency, and system stability.

Q: Are there remote or hybrid work options? A: Most Embedded Engineer roles are based in Mountain View, CA. Given the nature of working with physical hardware and sensors, regular onsite presence is expected.

Q: How difficult are the coding rounds? A: The coding rounds focus on practical, systems-level problems rather than complex, abstract algorithmic puzzles. Focus on writing clean, idiomatic C/C++ that handles edge cases well.

• Own your projects: Be prepared to dive deep into any project you list on your resume. You should be able to explain the architecture, the trade-offs you made, and the specific bugs you encountered.
• Prepare for ambiguity: Sometimes, interviewers may present a problem with missing information. Ask clarifying questions to define the scope—this is a key trait we look for in our engineers.
• Stay calm under pressure: If you get stuck, communicate your thought process. We want to see how you think, not just if you reach the answer immediately.
• Understand the product: Read up on Aeva's technology. Understanding the fundamental challenges of LiDAR sensing will give you a significant advantage when discussing architectural design.

The role of Embedded Engineer at Aeva is an exceptional opportunity to influence the future of autonomous perception. By focusing on your technical fundamentals, demonstrating a clear understanding of system-level constraints, and approaching problems with a collaborative mindset, you will be well-positioned to excel in our interview process.

Remember that preparation is the key to confidence. Use the insights provided here to structure your study and practice, and approach each round as a conversation between peers. We encourage you to continue refining your technical narrative and to leverage all available resources to ensure you are ready for the challenge. You have the potential to make a significant impact here—prepare well and show us your best work.

The compensation data provided reflects the market range for Embedded Engineer positions at Aeva in Mountain View, CA. This range accounts for base salary and is intended to help you understand the competitive landscape; keep in mind that total compensation packages may also include equity and performance-based incentives.