What is an Embedded Engineer?
An Embedded Engineer at Aurora designs and delivers the software that runs on the computers controlling our autonomous vehicles. Your work bridges real-time control, safety-critical systems, and a modern C++ autonomy stack to translate high-level planning into precise, reliable vehicle actuation. You will build software that manages operating modes, fault strategies, and health monitoring—directly influencing how the Aurora Driver behaves on-road.
This role is central to the success of the Aurora Driver. You will collaborate across autonomy planning and control, embedded layers, and vehicle platform interfaces to ensure stable, deterministic behavior across multiple hardware devices. Expect to interact with Linux and RTOS environments, NVIDIA Orin/Thor platforms, DRIVE OS, CAN/Ethernet networking, and HIL/vehicle-level testing frameworks. The impact is immediate and visible: your systems keep fleets safe, predictable, and performant in diverse real-world conditions.
What makes this role compelling is the blend of deep systems work with mission-critical robotics. You’ll implement device drivers, secure boot, diagnostics, and firmware updates—even as you shape frameworks and tools that accelerate testing to safety coverage standards. The problems are complex and multidisciplinary, and the solutions you develop will scale across platforms and vehicle programs.
Getting Ready for Your Interviews
Focus your preparation on the realities of building, integrating, and validating embedded software that runs in safety-critical, resource-constrained environments. You will be assessed on your ability to reason about real-time behavior, design robust interfaces, write modern C++/C for embedded targets, and collaborate effectively across autonomy, hardware, and platform teams.
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Role-related Knowledge (Technical/Domain Skills) - Interviewers assess your depth with C/C++, RTOS/Linux, device drivers, NVIDIA DRIVE OS, and robotics frameworks (e.g., ROS 2/DDS). Demonstrate fluency with embedded tooling, boot/bring-up, CAN/TCP/IP, and debugging on-target. Show familiarity with safety practices (e.g., MISRA, static analysis) and how they influence design choices.
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Problem-Solving Ability (Approach & Rigor) - You’ll be judged on how you decompose ambiguous embedded issues under constraints: latency budgets, CPU/memory limits, and real-time deadlines. Walk through tradeoffs, provide structured thinking, and quantify impacts (e.g., ISR latency, queue depth sizing, watchdog timeouts).
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Leadership (Influence Without Authority) - Aurora values engineers who drive clarity in complex cross-functional spaces. Show how you set interfaces, insist on testability, write high-signal design docs, lead postmortems, and improve team velocity through tools, frameworks, or processes.
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Culture Fit (Safety, Collaboration, Ownership) - Expect questions about working in ambiguity, prioritizing safety, and partnering with autonomy, hardware, and validation. Demonstrate ownership, a bias for factual debugging, and an evidence-based approach to risk management.
Interview Process Overview
Aurora’s process is designed to simulate the decisions and constraints you will face on the job. You’ll encounter a mix of coding exercises, design discussions, and scenario-based debugging that replicate real embedded development and integration with autonomy planning/control. The pacing is purposeful and rigorous, with a focus on practical reasoning, clarity of communication, and safety-minded tradeoffs.
Expect interviews that move fluidly between systems thinking and implementation detail. You may be asked to reason about control loop timing on mixed Linux/RTOS systems, walk through a bring-up plan for a new board, or design a fault-management state machine. The interviewers value thoughtful documentation, clean interfaces, and evidence of test strategy—alongside readable, modern C++/C that behaves deterministically.
The philosophy is outcomes-driven: demonstrate how you ensure correctness under real-world variance—electrical noise, packet loss, sensor dropouts, CPU contention, and thermal constraints. Interviewers look for engineers who elevate adjacent teams by defining robust interfaces, creating automation, and making validation measurable.
This timeline visual shows the typical flow from recruiter conversations to technical screens, deep-dive design rounds, and cross-functional evaluations. Use it to plan preparation sprints, align your examples to each stage, and budget time for hands-on practice between interviews. Keep notes on assumptions and decisions—you’ll often build on earlier discussions in later rounds.
Deep Dive into Evaluation Areas
Embedded Systems & Modern C/C++ Fundamentals
This area evaluates your ability to write correct, efficient, and maintainable embedded code that runs predictably under constraints. Expect to implement or review C/C++ for microcontrollers and embedded Linux targets, reason about UB, and discuss interfaces, memory layout, and testing.
Be ready to go over:
- Memory & Concurrency: stack/heap tradeoffs, lock-free vs. mutexed paths, ISR-safe code, ring buffers, atomics, and memory ordering.
- Embedded C++ Practices: RAII, strong typing, error handling without exceptions on constrained targets, templates vs. compile-time config.
- Testing Strategy: unit tests on host, on-target tests, fault injection, and CI coverage for embedded libraries.
- Advanced concepts (less common): MISRA C/C++ rationale, zero-copy pipelines, cache effects/NUMA, profile-guided optimizations, MC/DC coverage.
Example questions or scenarios:
- "Implement a fixed-size lock-free queue for an ISR-to-task handoff; explain memory ordering."
- "Refactor this callback-heavy driver API to a safer, testable interface; discuss error propagation."
- "Given this hexdump and register map, debug a misconfigured peripheral at boot."
Real-Time Systems, OS, and Driver Development
You’ll demonstrate how you select the right runtime (Linux vs. RTOS), structure threads/interrupts, and design drivers with clear contracts. You must reason about timing, jitter, scheduling, and failure containment.
Be ready to go over:
- RT Constraints: hard vs. soft real-time, latency budgets, scheduling policies, watchdogs.
- Drivers & Kernel: device tree, memory-mapped I/O, DMA, interrupts, and safe shutdown.
- Boot & Platform: secure boot, power sequencing, hypervisors/virtualization on NVIDIA platforms.
- Advanced concepts (less common): PREEMPT_RT tuning, lockdep/racy paths, A/B OTA strategies, sandboxing and SELinux/AppArmor profiles.
Example questions or scenarios:
- "Design the threading model for a 1 kHz control loop with sensor fusion at 200 Hz on a mixed RTOS/Linux stack."
- "Outline a secure boot and firmware update flow for a safety-critical ECU; handle rollback and key rotation."
- "Diagnose a sporadic 4 ms jitter spike after enabling a new DMA channel."
Vehicle Controls & Robotics Integration
Aurora evaluates how well you integrate embedded software with autonomy planning and control. You’ll discuss state machines, mode management, fault handling, and latency budgets from planner command to actuator response.
Be ready to go over:
- Control Loop Plumbing: command paths, signal conditioning, rate transitions, actuator saturation/limits.
- Fault Management: degraded modes, MRC (minimal risk condition), health monitoring, telemetry for root cause.
- Interfaces & Contracts: protobuf/IDL schemas, ROS 2/DDS QoS, time sync (PTP), and schema evolution.
- Advanced concepts (less common): control allocation, anti-windup, latency compensation, deterministic replay in HIL.
Example questions or scenarios:
- "Propose a state machine for mode transitions (manual, autonomous, degraded, MRC) with clear entry/exit criteria."
- "Budget end-to-end latency from planner to actuator; identify and mitigate jitter sources."
- "Design telemetry and on-road observability for a new control feature to support rapid debugging."
Safety, Reliability, and Validation
You will be asked how you build evidence for correctness. Expect to describe validation strategies across SIL/HIL, coverage targets, and fault injection—plus how you make these processes scalable and automated.
Be ready to go over:
- Test Architecture: SIL, PIL, HIL layers; golden logs; deterministic replays; simulators.
- Coverage & Standards: branch/condition coverage, MC/DC where applicable, coding guidelines, static/dynamic analysis.
- Diagnostics & Health: self-tests, startup checks, watchdog recovery, error budgets.
- Advanced concepts (less common): formal properties on critical modules, runtime invariants, safety case structure, FMEA.
Example questions or scenarios:
- "Define a HIL test to verify brake command limits and fail-safe on sensor dropout."
- "Choose coverage metrics for a fault manager; justify tradeoffs vs. schedule."
- "Walk through a production incident and the test you’d add to prevent recurrence."
Communication, Networking, and Platform Integration
Interviews probe how you integrate across buses and networks and make systems observable and resilient. You’ll discuss CAN, TCP/UDP, DDS, time sync, and failure strategies across distributed nodes.
Be ready to go over:
- Networking Basics: CAN FD framing, filters, bandwidth, QoS for DDS, TCP vs. UDP tradeoffs.
- Interoperability: schema evolution, backward compatibility, versioning, feature flags.
- Observability: logging, metrics, traces on embedded targets, rate limiting and retention.
- Advanced concepts (less common): redundancy, link failover, PTP boundary clocks, loss detection and recovery semantics.
Example questions or scenarios:
- "Design a CAN interface for actuator commands with safety checks and rate limiting."
- "Set DDS QoS profiles for planner-to-control topics to meet latency and reliability SLAs."
- "Instrument a control path for on-road debugging without violating real-time constraints."
This word cloud highlights the heaviest-weight concepts for this role, emphasizing areas like C++/C, RTOS/Linux, CAN/DDS networking, HIL/SIL, NVIDIA DRIVE OS/Orin, and fault management. Use it to calibrate study time—double down on the largest terms and ensure you can explain both fundamentals and practical tradeoffs in those areas.
Key Responsibilities
In this role, you will develop and integrate embedded software that interfaces tightly with Aurora’s autonomy stack and vehicle platform. You will own features end-to-end—from design and on-target implementation to validation in simulation, HIL, and on-road tests. Expect to build frameworks that span multiple devices and provide the tooling required to validate safety and performance at scale.
You will collaborate daily with autonomy planning/control, electrical and systems engineering, vehicle platform teams, and safety/validation. Success depends on defining clear interfaces, documenting assumptions, and delivering high-signal telemetry to accelerate diagnosis and iteration.
- Primary deliverables: embedded components for control modes and health monitoring; device drivers and platform bring-up; secure boot and firmware update flows; diagnostics and manufacturing tests.
- Tooling and automation: build HIL/SIL pipelines, coverage tooling to meet safety targets, log replay and fault-injection utilities, and CI integrations.
- On-road impact: your software directly influences operational behavior, fault handling, and mode transitions across diverse environments and hardware configurations.
Role Requirements & Qualifications
You should bring a solid foundation in embedded systems and modern C++/C, with the judgment to make systems safe, testable, and maintainable. Experience spans Linux and RTOS environments, with hands-on debugging and integration across hardware and autonomy components.
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Must-have technical skills
- C++/C for embedded targets; strong grasp of memory, concurrency, and determinism
- Python for tooling, tests, and automation
- RTOS and Linux development; threading, scheduling, and performance tuning
- Device drivers and platform bring-up; boot, power sequencing, secure boot, and firmware updates
- Networking: CAN, TCP/UDP, and DDS/ROS 2 fundamentals
- Testing: unit/integration tests, HIL/SIL, coverage, static/dynamic analysis, CI
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Preferred/role-specific skills
- NVIDIA DRIVE OS, Orin/Thor, hypervisors, Yocto, kernel modules, device tree
- Robotics frameworks (e.g., ROS 2), time sync (PTP), protobuf/IDL schema design
- Safety-critical practices (e.g., MISRA C/C++, MC/DC, safety cases/FMEA)
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Soft skills that differentiate
- Clear, concise documentation and interface design
- Cross-functional collaboration with autonomy, hardware, and safety teams
- Ownership mindset, methodical debugging, and evidence-driven decision-making
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Experience level
- Roles range from Engineer I to Engineer II and beyond; scope and autonomy scale with prior embedded/robotics experience and demonstrable on-target impact.
This visualization summarizes compensation data for embedded roles in vehicle controls and platform teams, reflecting variation by level and location. Use it to calibrate expectations, but anchor negotiations on your experience scope, specialized skills (e.g., DRIVE OS, RTOS, safety validation), and the responsibilities you will own.
Common Interview Questions
Expect a balanced mix of coding, systems design, and scenario-based discussions. Prepare concise, technical stories with metrics, and rehearse explanations that connect implementation details to safety and system outcomes.
Technical / Domain Knowledge
These questions confirm depth in embedded C/C++, RTOS/Linux, drivers, and networking.
- Explain how you’d design a driver for an SPI peripheral with DMA and interrupt-driven completion.
- How do you enforce determinism and bound latency in a Linux-based system?
- Walk through secure boot on an embedded platform and how you’d implement signed firmware updates.
- Describe your approach to error handling and logging on a resource-constrained target.
- Compare DDS QoS profiles for reliability vs. latency in planner-to-control communication.
System Design / Architecture (Embedded)
You’ll design subsystems under real-time and safety constraints with clear interface contracts.
- Design a fault-management state machine supporting manual, autonomous, degraded, and MRC modes.
- Propose a threading/interrupt model for a 1 kHz control loop alongside 200 Hz sensor fusion.
- Architect a software update system with A/B slots, rollback, and recovery telemetry.
- Define a CAN command protocol with rate limiting, range checks, and redundancy.
- Present a bring-up plan for a new compute module, from boot to driver initialization.
Controls & Vehicle Integration
These probe your understanding of integrating with planning/control and vehicle dynamics.
- How do you budget end-to-end latency from planner command to actuator motion?
- Describe strategies for anti-windup and saturation handling in an embedded control path.
- What telemetry would you capture to debug on-road oscillations in a control loop?
- How would you gate actuator commands on health and mode criteria?
- Discuss strategies to handle sensor dropout without destabilizing the controller.
Problem-Solving / Debugging
Interviewers test how you isolate issues and apply structured diagnostics.
- You see intermittent 4–6 ms jitter after a kernel upgrade—what is your hypothesis tree?
- A periodic task misses deadlines only under heavy CAN traffic—how do you prove root cause?
- HIL tests pass, but on-road behavior shows drift—what signals and tests do you add?
- How do you approach a heisenbug tied to cache behavior on a multicore SoC?
- Walk through a production incident postmortem you led and the preventive changes you shipped.
Coding (C/C++ and Python for Tooling)
Expect practical exercises with a focus on safety, clarity, and testability.
- Implement a bounded lock-free queue for ISR-to-task communication; include memory fences.
- Parse and validate a binary message with checksums and range checks; return structured errors.
- Write a rate limiter that guarantees no bursts over N commands per T with constant space.
- Implement a watchdog-kick mechanism with monotonic time and jitter tolerance.
- Build a Python tool to replay logs into a HIL test harness with configurable timing.
Use this module to practice interactively on Dataford. Drill by category, track progress, and iterate on weak areas. Prioritize the questions that map to your target level and the responsibilities you aim to own.
Frequently Asked Questions
Q: How difficult are the interviews and how much time should I allocate to prepare?
Plan for a rigorous, systems-focused process. Most candidates benefit from 2–4 weeks of targeted preparation covering embedded C/C++, RTOS/Linux, drivers, networking (CAN/DDS), and HIL/SIL validation.
Q: What makes successful candidates stand out at Aurora?
They demonstrate deterministic thinking, clear interface design, and measurable validation. Strong candidates quantify tradeoffs, write clean, testable code, and show they can elevate cross-functional teams with tools and documentation.
Q: What is the culture like for embedded teams?
Safety and pragmatism drive decisions, with a strong emphasis on data, testability, and on-road outcomes. Collaboration with autonomy, hardware, and validation is daily; written clarity and ownership are highly valued.
Q: What is the typical timeline from application to offer?
Timelines vary with scheduling and role level, but you should expect a multi-stage process over several weeks. Communicate constraints proactively and use time between stages to iterate on feedback areas.
Q: Is the role remote-friendly and where are teams based?
Many embedded roles are remote-friendly with collaboration across hubs like Pittsburgh, San Francisco Bay Area, and other locations. On-site HIL or vehicle testing may be scheduled as needed for integration.
Other General Tips
- Lead with constraints: State timing budgets, CPU/memory limits, and determinism requirements up front; tie design choices to those constraints.
- Document while you design: Use concise diagrams and bullets to define interfaces, error handling, and test hooks as you speak.
- Quantify everything: Latency, jitter, coverage, and reliability rates—numbers show you understand safety-critical engineering.
- Make validation first-class: Propose SIL/HIL strategies and observability plans alongside your design; interviewers expect both.
- Explain tradeoffs plainly: Linux vs. RTOS, interrupts vs. polling, lock-free vs. mutex—show decision criteria and failure modes.
- Show cross-functional empathy: Anticipate autonomy and hardware needs; propose schemas, contracts, and tools that reduce integration friction.
Summary & Next Steps
The Embedded Engineer role at Aurora sits at the core of our autonomy platform, delivering reliable, deterministic control software that directly shapes on-road behavior. You will build for safety, scale across hardware platforms, and collaborate closely with autonomy and vehicle teams to ship systems that perform under real-world constraints.
Prioritize preparation across five pillars: modern C/C++ for embedded, RTOS/Linux and drivers, controls and mode management, networking and platform integration, and safety/validation (SIL/HIL, coverage, fault injection). Bring concrete examples with metrics, show how you design for determinism and testability, and articulate the evidence you’d gather to prove correctness.
Use the practice module on Dataford to rehearse targeted questions, refine your narratives, and benchmark progress. Approach each interview as a design review: state assumptions, choose deterministic solutions, and back decisions with data. You’re ready—bring clarity, pragmatism, and ownership, and show how you’ll help the Aurora Driver operate safely, quickly, and broadly.
