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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Onboard Autonomy Organization - **Company:** Nuro Inc. - **Location:** United States - **Experience:** Expert - **Salary:** $291,150.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Unit Testing, C++ (Programming Language), Configuration Management, Profiling, Software Debugging, Linux on Embedded Systems, Middleware, Failure Mode Effects Analysis, GNU Debuggers, Python (Programming Language), Performance Tuning, Real-Time Operating Systems, Sensor Fusion, Software Engineering, Management of Software Versions, Data Logging, Scripting, Graphics Processing Unit (GPU), Control Structures, State Machines, Perf (Linux), Integration Tests, Performance Monitor, Grpc, Lidar, GNSS - **Published:** August 7, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-software-engineer-onboard-autonomy-mountain-view-ca--06f7d5f4-e951-4f84-9208-ba78d29f21d7 ## About the Role * Strong software engineering skills in C++ and/or Rust (Python acceptable as a supporting language). * Experience shipping software that runs on-device with real-world constraints (embedded Linux, real-time-ish systems, performance-sensitive code). * Understanding of autonomy fundamentals: planning, state estimation/localization, controls, and how they interface (you don't need to be an expert in all). * Experience with robotics middleware and tooling (commonly ROS/ROS 2, custom pub/sub frameworks, gRPC, DDS, etc.). * Proficiency with debugging and performance tools (e.g., gdb/lldb, perf, flamegraphs, profiling GPU workloads, log/trace analysis). * Strong testing discipline: unit/integration tests, simulation/HIL concepts, and safe rollout practices for autonomy. Nice to Have * Experience with behavior trees (e.g., BehaviorTree.CPP), hierarchical state machines, or mission/task planning. * Practical experience with local planners (trajectory rollout, MPC, sampling-based methods) and real-time control loops. * Sensor fusion experience (EKF/UKF), time sync, calibration, and handling intermittent sensors. * Experience with mapping and localization stacks (scan matching, visual-inertial odometry, SLAM, map-based localization). * Familiarity with safety standards/processes (e.g., ISO 26262 concepts, FMEA, hazard analysis) depending on domain. * Experience deploying autonomy to fleets: OTA updates, versioning, configuration management, and field telemetry. * Experience in inference optimization, Acceptance Testing, Analysis Skills, Artificial Intelligence (AI), Autonomous Driving Systems, Business Model, C++ Programming Language, CPU (Central Processing Unit), Calibration, Configuration Management, Debugging Skills, Debugging Tools, Ecosystems, Embedded Linux, Embedded Systems, Engineering, Failure Mode and Effects Analysis (FMEA), Field Trials, GDB (Gnu Debugger), GPU (Graphics Processing Unit), Hazard Analysis, ISO (International Organization for Standardization), Incident Management, Integration Testing, Light Detection and Ranging (LiDAR)\Laser Detection and Ranging (LADAR), Localization, Logistics, Machine Tool, Memory Hardware, Metrics, Middleware, Performance Tuning/Optimization, Problem Solving Skills, Process Improvement, Python Programming/Scripting Language, Realtime Operating System, Robotics, Root Cause Analysis, Safety Process, Safety Standards, Simulation, Software Engineering, Telemetry, Unit Test, Use Cases, Vehicle Driving, Vehicle Fleets, x86 Processors ## Description We're looking for an Autonomy Engineer focused on onboard autonomy-the software that runs on the robot/vehicle/embedded computer and makes real-time decisions using onboard sensors and compute. You'll build and ship reliable autonomy features that operate under tight latency, compute, and safety constraints in the real world. What You'll Do * Develop, integrate, and deploy onboard autonomy behaviors (e.g., navigation, obstacle avoidance, lane/route following, docking, interaction behaviors). * Implement and maintain real-time decision-making components: behavior planning, state machines/behavior trees, local planning, and control interfaces. * Build robust sensor-driven autonomy pipelines on-device (camera, lidar, radar, IMU, wheel odometry, GNSS), including synchronization, calibration hooks, and fault handling. * Optimize autonomy performance for latency, CPU/GPU usage, memory, and power on embedded compute (e.g., NVIDIA Jetson, x86 edge boxes, custom ECUs). * Design and implement safety and fallback strategies: health monitoring, degraded modes, watchdogs, safe-stop, and redundancy-aware logic. * Own the autonomy stack's on-robot integration: bring-up, debugging, profiling, logging, and release validation on real hardware. * Improve onboard observability: structured logs, traces, metrics, event recording, and tools to support incident review and rapid iteration. * Collaborate with perception, mapping/localization, controls, hardware, and systems teams to define clear interfaces and ship end-to-end features. * Participate in field testing and root-cause analysis of autonomy issues seen in real deployments. ## Related Videos - [How to develop an autonomous car end-to-end: Robotic Drive and the mobility revolution](https://www.wearedevelopers.com/videos/22-how-to-develop-an-autonomous-car-end-to-end-robotic-drive-and-the-mobility-revolution) - [Boosting OpenSearch Performance: gRPC Search in Action](https://www.wearedevelopers.com/videos/1935-boosting-opensearch-performance-grpc-search-in-action) - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) - [gRPC Load Balancing Deep Dive](https://www.wearedevelopers.com/videos/1576-grpc-load-balancing-deep-dive) - [Designing gRPC APIs - The things they don't tell you](https://www.wearedevelopers.com/videos/689-designing-grpc-apis-the-things-they-don-t-tell-you) - [XR Demystified: Separating Facts from Fiction in 2024](https://www.wearedevelopers.com/videos/1117-xr-demystified-separating-facts-from-fiction-in-2024) ## Related Articles - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 138 - Are you secure about this?](https://www.wearedevelopers.com/magazine/486-dev-digest-138-are-you-secure-about-this) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)