Senior Software Engineer, Metropolis Vision AI

## Responsibilities - Crafting and implementing high-performance Vision AI pipelines for real-time and streaming scenarios using brand-new computer vision and deep learning models. - Developing and refining large-scale distributed services responsible for processing video, image, and 3D data in both edge and cloud settings. - Developing multi-modal perception capabilities that combine 2D, 3D, and temporal information to understand complex real-world scenes. - Using simulation and synthetic data tools to build, test, and validate perception algorithms at scale. - Profiling and tuning GPU-accelerated inference pipelines to meet strict latency, efficiency, and reliability targets. - Collaborating with partner teams across product, research, and platform to translate requirements into clear technical builds and robust implementations. - Driving technical build reviews, promoting guidelines for code quality and testing, and mentoring other engineers on Vision AI systems development. ## Requirements - 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. ## Nice to Have - Proven experience delivering end-to-end computer vision applications in production, such as video analytics, smart cities, autonomous systems, retail analytics, industrial inspection, or digital twins. - Practical experience with GPU acceleration (such as CUDA, TensorRT, or comparable technologies) and low-level optimization for inference and pre/post-processing. - Experience in simulation and synthetic data creation employing tools such as Omniverse, Unreal Engine, Unity, or similar digital-twin platforms. - Background in vision-language models or related multi-modal AI, including integrating these models into real products. - Background in multimedia, including video-centric processing and delivery (such as codecs, video pipelines, or media frameworks) and integrating vision models into multimedia workflows. ## Benefits - Competitive salaries and a generous benefits package. - Opportunities to work on cutting-edge AI and deep learning technologies. - Collaborative and innovative work environment. - Potential for equity and benefits. - Applications accepted until July 12, 2026. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.