Software Engineer, Metropolis Vision AI

Overview

• NVIDIA's technology is at the heart of the AI revolution, touching people across the planet by powering everything from self-driving cars, robotics, co-pilots, and more.
• Join us at the forefront of technological advancement in intelligent assistants and information retrieval.
• Metropolis is transforming how the physical world is perceived and understood using advanced computer vision and deep learning.
• Our team builds large-scale distributed Vision AI platforms that power intelligent spaces, smart cities, retail analytics, and digital twins.
• This role offers the opportunity to c ontribute to core components of a strategic platform with high visibility and real-world impact.
• As a System Software Engineer for Vision AI, you will develop and optimize high-performance vision systems that turn massive streams of video, image, and 3D data into actionable insights.
• You will collaborate with specialists in perception, simulation, and large models to bring research into production at scale.
• What you’ll be doing: Implementing high-performance Metropolis Vision AI pipelines for real-time and streaming scenarios using computer vision and deep learning models.
• Developing large-scale distributed services responsible for processing video, image, and 3D data in both edge and cloud settings.
• Assisting to 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 GPU-accelerated inference pipelines to meet strict latency, efficiency, and reliability targets.
• Collaborating with partner teams to implement technical builds.
• Participating in technical reviews and contributing to guidelines for code quality and testing.
• What we need to see: BS or MS in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
• 2+ 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.
• Experience in computer vision and deep learning.
• Experience in implementing concurrent systems, including multi-threading, asynchronous I/O, and efficient memory management.
• Experience in Linux-based environments with containers and microservices, integrating AI components into scalable back-end 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 English communication skills, with demonstrated success collaborating across time zones and functions.
• Ways to stand out from the crowd: Practical experience implementing 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 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 multimedia, including video-centric processing and delivery (such as codecs, video pipelines, or media frameworks) and integrating vision models into multimedia workflows.