NVIDIA is looking for a Senior Software Engineer to build video analytics services and solutions using NVIDIA Metropolis. You will design and develop innovative functionalities for video processing, focusing on usability, accuracy, performance, and scalability.

What You'll Do

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.
Engage in the complete software lifecycle—from conceptualization and prototyping to development, accuracy & performance tuning, and production release.
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.
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.
Evaluate and fine-tune models using advanced tooling to improve accuracy and hardware utilization.
Work within a worldwide matrixed software development team to translate advanced technologies into impactful real-world applications.

What We're Looking For

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, and REST APIs.
Strong analytical skills with a data-driven approach to debugging and achieving performance objectives.

Nice to Have

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.

Technical Stack

Languages/Frameworks: Linux, C++, Python, CUDA, TensorRT, PyTorch
AI Models: Vision-Language Models (VLMs), Large Language Models (LLMs), Computer Vision (CV) models
Infrastructure & Cloud: Docker, Kubernetes, Helm, Azure, AWS
NVIDIA Platforms & Tools: NVIDIA Jetson, NVIDIA Orin, NVIDIA TAO, AutoML

Team & Environment

You will be part of a worldwide matrixed software development team.

Benefits & Compensation

Compensation: $152,000 USD - $241,500 USD + eligible equity
Comprehensive benefits package

Work Mode

This is a global position.

NVIDIA is committed to fostering a diverse 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.