NVIDIA

NVIDIA

Posted via Workday

Senior Software Engineer, Metropolis Vision AI

Posted Aug 5, 2026

Role at a glance

Salary
$224K – $356.5K/yr
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
12+ years of professional software development experience using modern C++ (14/17/20) and Python on Linux.
Education
BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, or a related field, or equivalent experience.

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Role Summary

AI-generated

The System Software Engineer for Vision AI will develop high-performance, distributed vision systems that process video, image, and 3D data for applications including intelligent spaces, smart cities, retail analytics, and digital twins. The role collaborates with perception, simulation, large-model, product, research, and platform specialists to bring computer vision research into production at scale.

What You'll Do

  • Implement high-performance Vision AI pipelines for real-time and streaming scenarios
  • Develop distributed services for processing video, image, and 3D data across edge and cloud settings
  • Develop multi-modal perception capabilities combining 2D, 3D, and temporal information
  • Use simulation and synthetic data tools to build, test, and validate perception algorithms
  • Profile and tune GPU-accelerated inference pipelines for latency, efficiency, and reliability
  • Drive technical build reviews, code-quality and testing guidelines, and engineer mentoring

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

Modern C++ and Python on Linux; algorithms, data structures, concurrency, and distributed systems; computer vision and deep learning; high-performance concurrent systems; Linux, containers, and microservices; PyTorch for training, fine-tuning, and deployment; written and verbal communication skills.

Required

  • Modern C++ (14/17/20) and Python on Linux
  • Algorithms, data structures, concurrency, and distributed systems concepts
  • Computer vision and deep learning, with production deployment experience
  • Multi-threading, asynchronous I/O, and efficient memory management
  • Linux-based environments with containers and microservices
  • Rapid prototyping and productionization of vision models and pipelines
  • PyTorch for training, fine-tuning, and deploying vision models
  • Written and verbal communication skills

Preferred

  • End-to-end computer vision applications in production
  • GPU acceleration such as CUDA or TensorRT
  • Simulation and synthetic data creation using Omniverse, Unreal Engine, Unity, or similar tools
  • Vision-language models or related multi-modal AI
  • Multimedia, video-centric processing, codecs, video pipelines, or media frameworks

Original job description

Content provided by the employer

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 own 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:

  • 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.

What we need to see:

  • 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.

Ways to stand out from the crowd:

  • 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.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 12, 2026.

This posting is for an existing vacancy. 

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.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.