Senior Machine Learning Engineer, Perception - Autonomous Driving
Overview:
In this role, you will design, train, and optimize ML models for LiDAR/camera perception and multi-sensor fusion on NVIDIA DRIVE AV. You'll build end-to-end ML workflows, from data pipelines to production-grade code in C++. You will stay at the forefront of ML innovations, collaborating with cross-functional teams to deliver reliable perception solutions for autonomous driving. This is an opportunity to shape perception capabilities at scale in a safety-critical domain. Compensation / Benefitsequitybenefitssalary rangecareer growthglobal impactinclusive environment
Responsibilities:
- Design, train, and optimize ML models for LiDAR/camera perception and multi-sensor fusion (detection, classification, segmentation, tracking)
- Develop and coordinate ML workflows: data pipelines, training, metrics, performance instrumentation, reporting
- Productize models for production on the DRIVE AV platform with efficient C++ code
- Stay updated on ML developments and apply techniques to improve platform performance
- Collaborate with LiDAR/camera teams and engineers to translate ideas into reliable autonomous driving solutions
Key requirements:
- 8+ years of relevant industry ML experience
- Strong C++ and Python programming skills for large, complex systems
- Hands-on experience applying ML to LiDAR/camera perception and multi-sensor fusion in automotive
- Experience with deep learning frameworks (PyTorch, TensorFlow) and solid math foundations in MLExperience building training and metrics workflows for large-scale datasets
- Excellent communication and analytical skills; self-motivated to solve hard problemscommunicationanalytical thinkingcollaboration
PyTorchTensorFlowC++