Senior Autonomous Driving Platform Engineer — AI/ML

NVIDIA; United States; On-site; USD 224,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA's Automotive Platform Team is building software foundations for scalable, high-performance vehicle computing platforms powering autonomous driving, ADAS, and digital cockpit. We seek a Senior Software Engineer to drive architecture, optimization, and deployment of DNNs on NVIDIA automotive compute platforms.

You will lead inference workload optimization, collaborate with TensorRT, CUDA, compiler and silicon teams, and create tooling for profiling, benchmarking, and validation of

Qualifications

• 12+ years of software engineering experience in systems software, AI/ML infrastructure, deep learning inference, compiler/runtime technology, or platform performance.
• BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
• Strong C/C++ and practical Python experience.
• Deep familiarity with TensorRT, TensorRT-LLM, ONNX, PyTorch, CUDA, Triton, or related frameworks.
• Experience optimizing DNN models for latency, throughput, memory footprint, and power.

Responsibilities

• Lead architecture and technical strategy for optimizing inference workloads in autonomous driving applications.
• Drive end-to-end performance analysis across DNN models, TensorRT/compiler flows, CUDA kernels, memory behavior, scheduling, runtime services, and automotive platform constraints.
• Develop and guide model optimization techniques such as quantization, pruning, distillation, graph optimization, operator fusion, kernel selection, and layout/memory optimization.
• Collaborate with TensorRT, CUDA, compiler, silicon architecture, perception, planning, DriveOS and safety platform teams.
• Build tools, methodologies, and metrics for profiling, benchmarking, debugging, and validating model and platform performance.

Skills

C/C++

Python

Education

BS/MS/PhD in CS/CE/EE

Tools

TensorRT

ONNX

PyTorch

CUDA

Triton

TensorRT-LLM

Job description

NVIDIA's Automotive Platform Team is building software foundations for scalable, high-performance vehicle computing platforms powering autonomous driving, ADAS, and digital cockpit. We seek a Senior Software Engineer to drive architecture, optimization, and deployment of DNNs on NVIDIA automotive compute platforms.

You will lead inference workload optimization, collaborate with TensorRT, CUDA, compiler and silicon teams, and create tooling for profiling, benchmarking, and validation of