Senior Software Engineer, Video Analytics

NVIDIA’s technology is at the heart of the AI revolution, touching people worldwide by powering everything from self‑driving cars and robotics to digital twins and generative AI. Metropolis is transforming how the physical world is perceived and understood using advanced computer vision and deep learning. Our team builds large‑scale distributed VisionAI platforms that power intelligent spaces, smart cities, retail analytics, and industrial environments. What you’ll be doing: Design and Develop: Lead the creation of modern software, services, systems, and AI agents for video processing across diverse domains, including smart cities, indoor spaces, and industrial environments. Full Lifecycle Ownership: Engage in the complete software lifecycle— from conceptualization and prototyping to development, accuracy & performance tuning, and production release. Leverage Frontier AI: Explore, optimize, and integrate innovative technologies, including Vision‑Language Models (VLMs), Computer Vision (CV) models, and Large Language Models (LLMs), to implement forward‑looking video processing capabilities on NVIDIA hardware. Drive Engineering Excellence: Apply a strong software background to incorporate agility and rigor into design using AI‑assisted coding capabilities, ensuring the highest degree of reliability and maintainability. Optimize for Performance: Evaluate and fine‑tune models using advanced tooling to improve accuracy and hardware utilization. Collaborate Globally: Work within a worldwide matrixed software development team to translate advanced technologies into impactful real‑world applications. What we need to see: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field (or equivalent experience). 5+ years of professional software development contributing to production‑grade machine learning systems, modern C++ and Python on Linux. Strong computer science fundamentals, including algorithms, data structures, concurrency, and distributed systems concepts. Hands‑on experience using industry‑leading multimodal VLMs and LLMs from both proprietary and open‑source ecosystems. Practical experience with machine learning inference using GPU acceleration (such as CUDA, TensorRT, or comparable technologies) and pre/post‑processing based on machine learning frameworks such as PyTorch. Sound understanding of microservices, distributed architectures, REST APIs. Strong analytical skills with a data‑driven approach to debugging and achieving performance objectives. Ways to stand out from the crowd: Experience delivering comprehensive video AI solutions, demonstrating extensive expertise in multimedia technologies such as codecs and streaming pipelines. Familiarity in optimizing frameworks like NVIDIA TAO and AutoML for vision and LLM/VLM model enhancement. Experienced in creating, curating, and researching multimodal datasets. Experience developing and deploying systems in embedded environments, particularly with NVIDIA Jetson and Orin platforms. Knowledgeable in cloud‑native deployment tools, including Docker, Kubernetes, and Helm, as well as GPU cloud infrastructure like Azure and AWS. We offer a competitive base salary ranging from 152,000 USD to 241,500 USD, along with equity and a generous benefits package. The benefits include health, dental, vision, and other standard corporate offerings. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and is 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. #J-18808-Ljbffr NVIDIA Gruppe