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AevaSoftware Engineer
Updated · Reviewed by the Dataford team

Aeva Software Engineer interview questions & guide 2026

Every question Aeva interviewers actually ask, the frameworks that win the room, and the language hiring managers respond to.

3 rounds · ≈ 3-5 weeks
1
Recruiter Screen
2
Hiring Manager Conversation
3
Technical Assessment

What is a Software Engineer at Aeva?

As a Software Engineer at Aeva, you are at the forefront of next-generation sensing technology. You will be instrumental in developing the software that powers Aeva’s unique 4D LiDAR-on-chip technology, which is transforming how autonomous vehicles, consumer electronics, and industrial robotics perceive the world. Your work directly impacts the precision, efficiency, and reliability of real-time data processing systems that define the future of machine perception.

This role requires a blend of high-level systems thinking and rigorous implementation. Whether you are working on Digital Signal Processing (DSP), State Estimation, or Perception Algorithms, you will be solving complex, real-world problems that move beyond standard software engineering. You will collaborate with cross-functional teams, including hardware engineers and data scientists, to bridge the gap between raw sensor data and actionable intelligence. Expect to work in an environment where technical depth and the ability to translate theoretical models into robust, production-grade code are highly valued.

Common Interview Questions

The following questions are representative of the patterns reported by candidates. While your specific experience may vary based on the team and seniority, focus on mastering the underlying concepts rather than rote memorization.

Technical & Domain Knowledge

These questions evaluate your expertise in your specific area of focus, such as DSP, C++, or System Architecture.

  • Explain your experience with Digital Signal Processing and how you apply it to sensor data.
  • How do you optimize C++ code for performance and memory constraints?

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03 · Question bank

The questions most likely to come up

Sorted by relevance to this company
K-Means Clustering ImplementationHard
Tests your ability to implement and reason about an unsupervised ML algorithm.
ClusteringAlgorithms
Design an Autoencoder SystemHard
Assesses your system design skills for building ML models and mapping them to real-world inputs.
System Design
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Getting Ready for Your Interviews

Preparation should focus on demonstrating both your technical depth and your ability to work within a highly specialized, multidisciplinary team. Success at Aeva often depends on your ability to connect your theoretical knowledge to the specific constraints of the hardware you are supporting.

Role-related Knowledge – You must be prepared to go deep into your area of expertise. Interviewers will often ask you to discuss past projects in detail, evaluating your understanding of the underlying mathematics and trade-offs.

Technical Communication – The ability to articulate your thought process is as important as the code or design you produce. Practice explaining how you arrived at a solution, including why you rejected certain alternatives.

Systems ThinkingAeva’s work is highly integrated; you must show an appreciation for how your software interacts with the broader system. Demonstrate that you consider edge cases, hardware limitations, and scalability in your designs.

Interview Process Overview

The interview process at Aeva is typically rigorous and multi-staged, designed to assess both your technical proficiency and your fit for a fast-paced, innovative environment. You will likely start with a recruiter screen, followed by a conversation with a hiring manager or director to discuss your background and interest in the company. The technical assessment phase often involves one-on-one sessions with team members, focusing on your specific domain expertise and general problem-solving skills.

06 · The loop

The interview process, end to end

≈ 3-5 weeks · 3 rounds
1
Recruiter Screen

Initial conversation with a recruiter to assess your background and fit for the role.

2
Hiring Manager Conversation

Discussion with a hiring manager or director about your background and interest in Aeva.

3
Technical Assessment

One-on-one sessions with team members focusing on your domain expertise and problem-solving skills.

This timeline outlines the standard progression from initial contact to final technical rounds. Use this structure to pace your preparation, ensuring you have enough time to brush up on both core CS fundamentals and your specific technical niche. Remember that different teams may adjust the number of rounds, so clarify the expected process with your recruiter early on.

Deep Dive into Evaluation Areas

Technical Depth and Expertise

Technical interviews at Aeva are rarely purely theoretical; they are grounded in your actual work history. Expect to be challenged on the details of your projects, particularly regarding C++, DSP, or System Design.

Be ready to go over:

  • Project Deep Dives – Be prepared to defend your design choices and explain the constraints you faced.
  • Resource Management – How you handle memory, latency, and throughput in high-performance applications.

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  • Every Software Engineer question, updated weekly
  • Model answers with full code walkthroughs
  • Recent, real interview reports
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08 · Topic breakdown

What they actually test for

Topic distribution
All topics
Coding Proficiency in C++DSP (Digital Signal Processing)Data Structures & Algorithms (DSA)State EstimationCalibration Engineering

Key Responsibilities

As a Software Engineer at Aeva, you will be responsible for the full software development lifecycle of components that enable 4D LiDAR perception. This includes designing, implementing, and optimizing algorithms that transform raw optical signals into precise point clouds and object detections. You will work closely with hardware engineers to ensure that the software stack is perfectly tuned to the underlying silicon.

You will also be expected to drive internal technical initiatives, such as improving CI/CD pipelines, enhancing simulation environments, or developing internal tools for data analysis and visualization. Communication is key; you will regularly present technical findings to cross-functional stakeholders, requiring you to translate complex data into clear, actionable insights for the business.

Role Requirements & Qualifications

A strong candidate for a Software Engineer role at Aeva generally possesses a solid foundation in computer science or a related engineering field, combined with specialized experience in one of the company's core technology areas.

  • Must-have skills: Proficient in C++, strong understanding of data structures and algorithms, and experience with real-time systems or high-performance computing.
  • Nice-to-have skills: Familiarity with Python for scripting/prototyping, experience with FPGA/ASIC development, or background in Computer Vision or State Estimation.
  • Experience level: Most roles require a proven track record of shipping production-grade software, often looking for candidates who have worked on hardware-software integration.

Frequently Asked Questions

Q: How long does the interview process typically take? The process varies depending on the role and team, but generally, it spans from a few weeks to a couple of months from the initial recruiter call to a final decision.

Q: Are there brain-teaser questions? Generally, no. Aeva prefers to focus on your daily work, technical experience, and problem-solving abilities relevant to the job.

Q: How much should I focus on LeetCode-style questions? While you should be comfortable with basic data structures and algorithms, the focus is more on applying these to real-world engineering problems rather than solving abstract puzzles.

Q: What is the company culture like? Aeva is a fast-paced environment focused on innovation. You will be expected to be proactive, collaborative, and capable of working with high autonomy.

Other General Tips

  • Own your expertise: If you list a skill on your resume, be ready to go deep. Interviewers will often probe the limits of your knowledge on your own projects.
  • Communicate your thought process: Never jump straight into writing code or sketching a design. Explain your assumptions and your approach first.
  • Prepare your own questions: Use the time at the end of the interview to ask about the team's current challenges or the company's technical roadmap. It shows genuine interest.
  • Research the technology: Understand what makes Aeva’s 4D LiDAR unique compared to traditional systems. Having this context will help you frame your technical answers more effectively.

Summary & Next Steps

Preparing for a Software Engineer role at Aeva requires a balance of technical rigor and clear, structured communication. Focus your energy on mastering the fundamentals of your specific domain while ensuring you can clearly articulate the "why" behind your past technical decisions.

You are entering a field that is pushing the boundaries of perception technology. By preparing to discuss your work in depth and demonstrating a collaborative mindset, you will position yourself as a strong candidate. We encourage you to continue exploring additional insights to refine your preparation. You have the skills to succeed—stay focused, stay curious, and good luck with your interviews.

14 · Compensation

What this role pays

24 reports
USUSD
Estimated total compHigh confidence · 24 data points
$0k-$0k
Median $185k / year
Base salary · 100%Stock (RSU) · 0%Cash bonus · 0%
25thEntry / smaller markets
$125k
50thTypical offer
$185k
90thTop performers / major metros
$245k
Breakdown by component
Base salary
100% of total
$132k$228k
$180k
median
Stock (RSU)
0% of total
$0$0
$0
median
Cash bonus
0% of total
$0$0
$0
median
Aggregated from 24 self-reported salaries via Glassdoor. Estimates only. Verify against your offer.

The salary data provided reflects current market ranges for various engineering roles at Aeva. Use these figures to calibrate your expectations and prepare for compensation discussions, keeping in mind that total packages often include equity and other benefits which may vary based on your level and specific experience.

15 · The role

Inside the Software Engineer guide at Aeva

18 · FAQ

Aeva Software Engineer interview FAQ

Answered from real candidate and compensation data
How many interview rounds does Aeva have for a Software Engineer role?
Aeva’s process typically starts with a recruiter screen, followed by a conversation with a hiring manager or director. After that, there is a technical assessment with one-on-one sessions with team members focused on your domain expertise and problem-solving skills.
How hard is it to get an offer at Aeva for a Software Engineer role?
Candidates most commonly reported the overall difficulty as average across 15 reported interviews. The offer rate is listed as 0% in the available experience stats, so candidates should not assume offers are common without additional context.
What topics get tested for Aeva Software Engineer interviews?
Expect a mix of coding and domain topics. The top tested areas include C++ coding proficiency, DSP, data structures and algorithms (DSA), state estimation, calibration engineering, perception engineering, and lidar verification and validation.
What are common Aeva Software Engineer interview question types?
Interviews include domain and technical questions, problem-solving walkthroughs, and behavioral prompts. Example question formats in the public sample include resolving a complex production bug and handling cross-team dependency blocks.
What is the compensation range for an Aeva Software Engineer, and does it vary?
Compensation reports show a base minimum of $132,300 and a total maximum of $245,300. Pay varies by level and location, based on the job and candidate reporting shown here.
How should I prioritize my preparation for Aeva Software Engineer interviews?
Prioritize depth in your specific focus area, such as DSP, state estimation, or C++ performance, and be ready to discuss past projects in detail. Practice explaining your thought process, including why you chose one approach over alternatives, and show systems thinking around edge cases, hardware constraints, and scalability. Include testing and validation in your prep since reliability in mission-critical systems is explicitly called out.