Senior Software Engineer, Metropolis Vision AI

Posted 15 Hours Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
224K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and implement high-performance Vision AI pipelines and large-scale distributed services for processing video, image, and 3D data across edge and cloud. Build multi-modal perception, use simulation/synthetic data for testing, profile and optimize GPU-accelerated inference, collaborate with research and product teams, drive code quality and reviews, and mentor engineers to productionize vision models at scale.
Summary Generated by Built In

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.

Skills Required

  • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, or related field, or equivalent experience.
  • 12+ years 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.
  • Demonstrated expertise in computer vision and deep learning with experience deploying production systems.
  • Experience building and debugging high-performance concurrent systems (multi-threading, asynchronous I/O, efficient memory management).
  • Proficiency in Linux-based environments with containers and microservices, integrating AI components into scalable back-end services.
  • Ability to rapidly prototype vision models and pipelines and evolve them into production-quality services.
  • Practical experience with PyTorch for training, fine-tuning, and deploying vision models.
  • Profiling and tuning GPU-accelerated inference pipelines to meet latency, efficiency, and reliability targets.
  • Excellent written and verbal communication skills with experience collaborating across time zones and functions.
  • Experience with CUDA, TensorRT, or comparable low-level GPU optimization technologies.
  • Experience with simulation and synthetic data tools (Omniverse, Unreal Engine, Unity) for testing and validation.
  • Background in vision-language or multi-modal AI or multimedia/video-centric processing and delivery (codecs, media frameworks).

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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