As a System Software Engineer for Vision AI at NVIDIA, you will be at the forefront of developing high-performance vision systems that process vast amounts of video, image, and 3D data. You will work within a team that focuses on transforming how the physical world is understood through advanced computer vision and deep learning technologies. This role involves collaborating with specialists to bring innovative research into production, impacting intelligent spaces and smart cities. You will have the opportunity to own core components of a strategic platform with significant visibility and real-world implications.

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, or a related field, or equivalent experience.
• 12+ years of professional software development experience using modern C++ (14/17/20) and Python on Linux.
• Strong computer science fundamentals, including algorithms, data structures, concurrency, and distributed systems concepts.
• Demonstrated expertise in computer vision and deep learning, with a history of deploying production systems in these fields.
• Experience building and debugging high-performance, concurrent systems, including multi-threading, asynchronous I/O, and efficient memory management.
• Proficiency working in Linux-based environments with containers and microservices, integrating AI components into scalable back-end services.
• Ability to rapidly prototype vision models and pipelines, then evolve them into production-quality services.
• Practical experience with PyTorch in training, fine-tuning, and deploying models for vision tasks.
• Strong analytical and problem-solving skills, with a data-driven approach to performance optimization and system build.
• Excellent written and verbal communication skills, with demonstrated success collaborating across time zones and functions.

• Craft and implement high-performance Vision AI pipelines for real-time and streaming scenarios using new computer vision and deep learning models.
• Develop and refine large-scale distributed services responsible for processing video, image, and 3D data in both edge and cloud settings.
• Develop multi-modal perception capabilities that combine 2D, 3D, and temporal information to understand complex real-world scenes.
• Use simulation and synthetic data tools to build, test, and validate perception algorithms at scale.
• Profile and tune GPU-accelerated inference pipelines to meet strict latency, efficiency, and reliability targets.
• Collaborate with partner teams across product, research, and platform to translate requirements into clear technical builds and robust implementations.
• Drive technical build reviews, promote guidelines for code quality and testing, and mentor other engineers on Vision AI systems development.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.