Senior Software Engineer - AI and Autonomous Driving

Step into the future with NVIDIA, a global leader in AI computing, data science, and graphics, driving innovation in Artificial Intelligence, Deep Learning, and Autonomous Vehicles. Our team of visionaries is reshaping industries worldwide with cutting-edge technologies. Join us on an exhilarating journey as a Senior Software Engineer, where you'll fuse our ADAS software stack with OEM applications, witnessing your creations hit the road in real-time. You would have opportunity to bring cutting Edge AI Models to Futuristic Cars. 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 mid-level Software Engineer to build production AI for autonomous vehicles. If you're passionate about deploying robust, high-performance models that run on GPUs in real cars, we'd like to hear from you.

What you'll be doing:

• Design, develop, and maintain C++ and Python software for perception, prediction, and planning in advanced driver-assistance and autonomous driving systems.
• Train, fine-tune, and iterate on deep learning models (vision, multimodal, and transformer-based architectures) using large-scale driving datasets, then optimize them for real-time inference on NVIDIA GPUs.
• Work with multi-sensor data - cameras, radar, lidar - and contribute to training pipelines, data quality workflows, and automated evaluation infrastructure.
• Debug and resolve performance bottlenecks, edge cases, and integration challenges in a complex, safety-critical codebase.
• Collaborate with ML researchers, systems engineers, and automotive partners to bring features from research prototypes to production-ready systems.

What we need to see:

• 4-8 years of professional software engineering experience, ideally in AI, robotics, or automotive domains.
• Proficiency in C++ (modern C++14/17 or later) and Python, with demonstrated experience writing clean, maintainable code.
• Hands-on experience **training deep learning models (PyTorch or TensorFlow): designing experiments, tuning hyperparameters, working with large datasets, and debugging model behavior.
• Strong Linux development skills: building, debugging, profiling, version control (git), and working within CI/CD workflows.
  Familiarity with one or more of:
• GPU programming and optimization (CUDA, TensorRT, cuDNN)
• Computer vision and perception (object detection, segmentation, multi-object tracking)
• Robotics or autonomous systems (ROS, ADAS features, simulation environments)

Ways to stand out from the crowd:

• Experience with camera calibration, sensor fusion, or multi-camera perception systems.
• Knowledge of model optimization and deployment: quantization (INT8, FP8, 4-bit), TensorRT-LLM, ONNX Runtime, or similar frameworks.
• Background in training infrastructure: distributed training, experiment tracking, dataset versioning, hyperparameter optimization.
• Understanding of software quality practices for safety-critical systems (code review, unit testing, static analysis; automotive standards knowledge is a plus).
• Open-source contributions or published work in AI, robotics, or GPU computing.

Work on challenging, real-world problems where your code directly impacts vehicle safety and performance. Collaborate with a talented, multidisciplinary team of researchers, engineers, and automotive experts. Solve hard technical problems at the intersection of deep learning, real-time systems, and production software engineering. If this opportunity aligns with your background and interests, please apply with your resume and a brief description of relevant projects (links to GitHub, publications, or technical write-ups are welcome). We look forward to connecting with you.