Senior Systems Software Engineer - Deep Learning Solutions
Core
Senior Systems Software Engineer optimizing deep learning inference for autonomous vehicles and robotics on edge devices.
Role type
Senior IC systems software engineer (deep learning inference)
Builds
Inference solutions on Jetson, DRIVE, and GPU + ARM platforms for AV and robotics workloads
Domain
Automotive and Robotics / Deep Learning / Edge Computing
Deliverable
production ML models
Required skills
Deep learning model optimization, neural network compilation, embedded/edge software, GPU architecture fundamentals, CUDA, TensorRT, C/C++, embedded OS internals, parallel programming, memory hierarchy management
Preferred skills
ML compiler frameworks (TVM, MLIR, XLA, Triton), AV perception/planning stacks, Physical AI models (VLM, end-to-end driving), MLPerf contributions, automotive safety standards (ISO 26262, SOTIF)
Responsibilities
Engage with automotive OEMs and robotics partners to debug and optimize deep learning models; Drive performance benchmarking efforts (MLPerf Edge); Evaluate emerging DL architectures for compilation feasibility and latency; Collaborate with compiler, runtime, and hardware teams; Develop internal roadmap priorities based on customer workloads; Represent NVIDIA externally at conferences and events; Build and deploy inference solutions using TensorRT and compiler stacks
Seniority
Senior, hands-on IC
