Autonomous Vehicle Engineer Resume Example

Professional Summary

Autonomous vehicle engineer with 5+ years of experience in perception, sensor fusion, and motion planning for self-driving systems. Strong background in C++, Python, and ROS with hands-on experience developing and validating AV software on real test vehicles and large-scale simulation platforms.

Key Skills

What to Include on a Autonomous Vehicle Engineer Resume

• A concise summary that states your autonomous vehicle engineer experience level, strongest domain, and the business problems you solve.
• A skills section that mirrors the job description language for C++, Python, ROS/ROS2, PyTorch.
• Experience bullets that connect autonomous vehicles, self-driving, perception systems to measurable outcomes such as cost savings, faster delivery, better quality, or improved customer results.
• Tools, platforms, certifications, and methods that are current for ai & machine learning roles.
• Recent projects that show ownership, cross-functional work, and a clear result instead of generic responsibilities.

Sample Experience Bullets

• Developed a LiDAR-camera fusion module that combined 3D point clouds with image data to detect and track 15 object classes with 96.2% precision at ranges up to 100m, replacing separate detection pipelines and reducing total inference latency by 40%.
• Built a trajectory planning system using model predictive control (MPC) that generates smooth, collision-free paths at 10Hz, handling highway merging, lane changes, and intersection navigation with a 99.7% safety metric pass rate across 100K simulation scenarios.
• Created a large-scale simulation pipeline in CARLA that runs 50,000+ test scenarios per night across 12 GPU nodes, enabling the team to validate perception and planning changes against edge cases before on-vehicle testing.
• Implemented a real-time occupancy grid mapping system processing 300K LiDAR points per frame at 20Hz on the vehicle's compute platform, providing the planning module with a 360-degree obstacle representation with 10cm resolution.
• Reduced false positive detections of the pedestrian detection module by 65% by retraining with 20,000 additional hard-negative examples mined from fleet logs, eliminating phantom braking events that occurred an average of 2.3 times per 1,000 miles.
• Designed a behavior prediction module using graph neural networks that forecasts the trajectories of 20+ surrounding agents over a 5-second horizon, achieving an average displacement error of 0.8m at 3 seconds on the internal validation set.
• Optimized the perception stack for the vehicle's NVIDIA Orin platform using TensorRT quantization and model pruning, reducing total perception latency from 120ms to 45ms while maintaining detection accuracy within 0.5% of the original models.
• Led the integration of a new solid-state LiDAR sensor into the perception pipeline, writing C++ drivers, calibration tools, and point cloud preprocessing modules that were validated on 500+ miles of real-world driving data.
• Built an automated data labeling pipeline using a teacher model and active learning that labeled 500K LiDAR frames with 3D bounding boxes, reducing manual annotation costs by $200K annually while maintaining label quality above 95% agreement with human annotators.
• Developed a comprehensive regression testing framework that tracked 200+ perception and planning metrics across software releases, catching 12 performance regressions in the last year before they reached the vehicle fleet.
• Contributed to the functional safety (ISO 26262) analysis for the perception subsystem, documenting failure modes, safety mechanisms, and diagnostic coverage for 8 hardware and software components at ASIL-B integrity level.

ATS Keywords for Autonomous Vehicle Engineer Resumes

Use these terms naturally where they match your experience and the job description.

Recommended Certifications

• NVIDIA Deep Learning for Autonomous Vehicles Certificate
• ISO 26262 Functional Safety Training Certificate

What Does a Autonomous Vehicle Engineer Do?

• Design, develop, and maintain software solutions using C++, Python, ROS/ROS2 and related technologies
• Collaborate with cross-functional teams including product managers, designers, and QA engineers to deliver features on schedule
• Write clean, well-tested code following industry best practices for autonomous vehicles and self-driving
• Participate in code reviews, technical discussions, and architecture decisions to improve system quality and team knowledge
• Troubleshoot production issues, optimize performance, and ensure system reliability across all environments

Resume Tips for Autonomous Vehicle Engineers