Aurora's Interview Process (2026)

Blog / Aurora's Interview Process (2026)
Aurora Interview Process
Aurora's software engineer interview process is technical, team-specific, and tends to go deeper than a typical big tech loop. Most candidates go through around four to five stages, though the exact format can vary depending on the team and role level.
  • Recruiter Screen: A 30-minute conversation covering your background, interest in autonomous vehicles, and general fit for the role.
  • Technical Assessment: Depending on your level and team, this is either an online assessment with two to three coding problems or a take-home project lasting several hours. New grad and junior candidates more commonly receive the online assessment, while some infrastructure or tooling teams lean toward the take-home format.
  • Technical Phone Screen: A 45 to 60-minute live coding session with an engineer, usually in a shared editor like CoderPad. Expect a focused problem rather than a broad algorithm survey, and be ready to discuss your code's robustness and edge case handling.
  • Virtual Onsite Loop: A series of back-to-back interviews typically spanning four to five hours. This usually includes two coding rounds, a system design round, and a behavioral round, though the exact mix can vary by team and seniority.
To prepare effectively, focus your study plan across these key areas that Aurora consistently tests:
  • Data Structures & Algorithms (DSA): Coding rounds focused on graph traversal, pathfinding, dynamic programming, and real-world problem constraints.
  • System Design: Architecture rounds covering distributed systems, data pipelines, and high-throughput infrastructure.
  • Systems Programming: Low-level C++ topics including memory management, IPC mechanisms, and multi-threaded synchronization.
  • Behavioral: Structured behavioral questions assessing collaboration, technical disagreement, and working under pressure.
1. Data Structures & Algorithms (DSA)Aurora's coding rounds are less about pure competitive programming and more about writing clean, production-quality code under real-world constraints. Candidates in 2025 and 2026 frequently report problems involving graph traversal on non-standard grids, interval merging for streaming data, and pathfinding with physical constraints like latency or sensor noise.At least one onsite coding round tends to reach LeetCode Hard difficulty. Problems like Merge Intervals and Sliding Window Maximum are representative of the style, where efficiency and edge case handling matter as much as getting to the right answer.Dynamic programming and graph problems appear consistently across candidates. For a broad baseline, work through our top 100 DSA questions before going deeper into Aurora-specific patterns.Aurora also cares about determinism and latency in a way most tech companies don't. When discussing your solution, be ready to explain why a particular algorithm is suitable for a real-time system, even if two options have the same Big O complexity.
2. System DesignFor mid-to-senior roles, system design at Aurora typically focuses on distributed systems or large-scale data pipelines, think handling petabytes of simulation data from autonomous vehicle fleets. Familiarity with concepts like fault tolerance, replication, and data partitioning will serve you well.A strong starting point is our High-Level Design questions, which cover the architectural patterns Aurora commonly tests. Try using our System Design practice tool to practice drawing out these architectures before your interview.For roles with a systems focus, the design round may shift toward Linux IPC mechanisms and how you'd architect communication between processes on a vehicle with constrained resources. Reviewing system design core concepts alongside networking fundamentals will round out your preparation here.
3. Systems ProgrammingAurora does a significant amount of work in C++ and takes low-level programming seriously. For C++ roles, candidates report dedicated sessions on memory management, including deep questions on unique_ptr, shared_ptr, and when to use custom allocators. Don't just know the syntax, understand the ownership model.Multi-threading and IPC are also fair game. Be ready to discuss trade-offs between shared memory and sockets, and how you'd resolve race conditions in a concurrent system. Reviewing operating systems concepts will help you speak confidently about these topics.Even if you're not in a pure systems role, Aurora may ask how your code behaves on a vehicle with limited CPU or GPU resources. Framing your answers around safety and determinism will signal the right mindset.
4. BehavioralAurora's behavioral round follows a structured rubric and places particular emphasis on how you handle technical disagreements and deliver under pressure. These are high-priority signals for their 2025 and 2026 hiring, so come prepared with specific stories, not vague generalities.Structure your answers using the STAR principle to keep your responses clear and grounded. Prioritize stories that show a "win together" mindset, where collaboration was as important as the technical outcome.For broader preparation, the Behavioral Interview Course and Behavioral Playbook are practical resources to build and rehearse your story bank before the interview.
ConclusionAurora's interview process rewards candidates who think about software in the context of physical systems, safety, and real-world constraints. Start with the fundamentals, go deep on C++ and systems design, and make sure your behavioral stories reflect genuine collaboration and sound judgment. Follow the Aurora Interview Roadmap for a structured, step-by-step plan to prepare for every stage of the process.

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