Senior System Software Engineer – Embedded AI Inference
Core
Design, implement, and maintain C++ agentic AI and AI inference solutions for embedded production automotive platforms, integrating PyTorch models for real-time inference on NVIDIA GPUs.
Role type
Senior System Software Engineer (Embedded AI Inference)
Builds
Production automotive software applications for in-car agentic AI and autonomous vehicle inference
Domain
Automotive industry + Embedded AI / High-performance computing
Deliverable
production ML models
Required skills
Modern C++ (C++14/17+), PyTorch integration, CUDA programming, Linux build systems (CMake), GPU optimization (TensorRT), LLM/VLM inference, Agentic AI frameworks
Preferred skills
Edge-friendly model optimization (2–7B), NVIDIA DRIVE AGX platform experience, Quantization techniques (INT8, FP8, 4-bit), TensorRT-LLM or ONNX Runtime familiarity, Safety-critical software practices
Technologies
C++, Python, PyTorch, CUDA, TensorRT, Linux, CMake, Git, NVIDIA DRIVE AGX
Responsibilities
Design and implement C++ agentic AI and inference solutions; Integrate Deep Learning models into C++ pipelines for real-time inference; Build modular libraries and components for model interfaces and sensor drivers; Profile, debug, and optimize C++ and CUDA code for latency and throughput; Collaborate with researchers and systems engineers to deploy prototype algorithms
Seniority
Senior, hands-on IC
