Senior System Software Engineer - Embedded AI Inference

About

NVIDIA is synonymous with innovation, boasting trailblazers who are shaping the world with their forward‑thinking approaches. This is your chance to be part of a vibrant community that's redefining the technological landscape. Ready to shape the future of automotive technology with NVIDIA? Apply now to be part of a team that's revolutionizing the industry and driving innovation to new heights. Your potential awaits!

We’re hiring a Senior Software Engineer to develop production automotive software for AI inference and agent orchestration in C++. Join us on an exhilarating journey, where you’ll build out the foundation for next‑generation automotive software applications: in‑car agentic AI and inference of cutting‑edge AI models (LLM, VLM, VLA). You would have the opportunity to shape cutting‑edge AI frameworks that enable unprecedented in‑car AI experiences and provide a reliable backbone for a new generation of Autonomous Vehicles.

If you’re passionate about building robust, high‑performance AI systems that run on GPUs in real vehicles, we’d like to hear from you.

Responsibilities

• Design, implement, and maintain C++ agentic AI and AI inference solutions for embedded production platforms.
• Integrate PyTorch Deep Learning models into C++ pipelines, and deploy them for real‑time inference on NVIDIA GPUs.
• Build and extend testable, modular libraries and components, including interfaces to models, sensor drivers, and vehicle control.
• Profile, debug, and optimize C++ and CUDA code to meet strict latency and throughput targets.
• Collaborate closely with ML researchers, systems engineers, and automotive partners to turn prototype algorithms into production‑ready implementations.

Requirements

• 8+ years of professional software engineering experience, ideally in high‑performance safety‑critical software, automotive, robotics, or real‑time systems.
• Master's or PhD degree in Computer Science or Machine Learning.
• Strong modern C++ (C++14/17 or later): templates, RAII, smart pointers, STL, and experience building large codebases.
• Solid Python skills for tooling, training scripts, and glue code between data pipelines and C++ components.
• Hands‑on experience building agentic AI frameworks and with LLM / VLM inference. Experience with LLM and VLM inference and related optimization techniques like speculative decoding, LoRA, MoE.
• Experience developing on Linux: build systems (CMake), debugging (gdb, sanitizers), profiling, and git‑based workflows in a CI/CD environment.
• Familiarity with GPU programming and optimization, ideally with TensorRT.

Preferred Qualifications (Ways to stand out from the crowd)

• Experience with agentic AI, specifically agents based on edge‑friendly models (2‑7B), including context management, reliable tool calling, and MCP, as well as experience with agentic coding.
• Direct experience with the NVIDIA DRIVE AGX platform.
• Knowledge of AI model optimization and deployment: quantization (INT8, FP8, 4‑bit).
• Familiarity with high‑performance LLM inference frameworks like TensorRT‑LLM or ONNX Runtime.
• Understanding of software quality practices for safety‑critical systems (code review, unit testing, static analysis; automotive standards knowledge is a plus) as well as open‑source contributions or published work in AI, robotics, or GPU computing.

Location & Details

• Location: Germany, Munich
• Employment type: Full time
• Posting date: 2026‑03‑20 (Posted Yesterday)
• Job ID: JR2015026

How to Apply

If this opportunity aligns with your background and interests, please apply with your resume and a brief description of relevant automotive AI projects (links to GitHub, publications, or technical write‑ups are welcome).