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NVIDIA

Designs the chips and software that power AI

Senior Software Engineer - Metropolis Vision AI

Full-Time
$224k - $356.5k/yr+ Equity
Expert
Bachelor's, Master's, PhD
Santa Clara, CA, USA
Remote
Software EngineeringBackend Engineering
Company Historically Provides H1B Sponsorship

About the job

Requirements
  • A BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field, or equivalent experience.
  • At least 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.
  • Expertise in computer vision and deep learning, including deploying production systems with a focus on Vision-Language Models.
  • Experience building and debugging high-performance concurrent systems, including multithreading, asynchronous input/output, and efficient memory management.
  • Proficiency in Linux-based environments with containers and microservices, integrating artificial intelligence 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 models for vision tasks.
  • Strong analytical and problem-solving skills with a data-driven approach to performance optimization and system building.
  • Excellent written and verbal communication skills, with demonstrated success collaborating across time zones and functions.
Responsibilities
  • Craft and implement high-performance Vision AI pipelines for real-time and streaming scenarios using computer vision and deep learning models.
  • Develop and refine large-scale distributed services that process video, image, and 3D data in edge and cloud settings.
  • Develop multimodal perception capabilities combining 2D, 3D, and temporal information to understand complex real-world scenes.
  • Use simulation and synthetic data tools to build, test, and validate perception algorithms at scale.
  • Profile and tune GPU-accelerated inference pipelines to meet latency, efficiency, and reliability targets.
  • Collaborate with partner teams across product, research, and platform to translate requirements into technical builds and robust implementations.
  • Drive technical build reviews, promote guidelines for code quality and testing, and mentor other engineers on Vision AI systems development.
Desired Qualifications
  • 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 or TensorRT, and low-level optimization for inference and preprocessing/postprocessing.
  • Experience in simulation and synthetic data creation using Omniverse, Unreal Engine, Unity, or similar digital-twin platforms.
  • Background in vision-language models or related multimodal artificial intelligence, 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.

About the company

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

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Simplify Jobs

Simplify's Take

What believers are saying

  • AI demand is still surging: data center sales rose 117% to $89 billion in the quarter ending July 2026.
  • Stock grants are worth more: shares hit a record in October 2026, up 28% for the year.
  • Engineering dominates hiring: 1,722 of NVIDIA's 2,686 job listings in October 2026 were in engineering.

What critics are saying

  • Big buyers are hedging: Meta's February 2026 agreement covers 6 gigawatts of AMD chips.
  • Financing its buyers is getting harder: lenders pushed back on NVIDIA's $500 billion chip-backed loan plan in October 2026.
  • Staff described long hours: Bloomberg's August 2024 interviews reported seven-day weeks, late nights and shouting matches.

What makes NVIDIA unique

  • Rivals must match its software too: over 7.5 million developers use CUDA and other NVIDIA tools to program its chips.
  • The CEO has a broad direct staff: Jensen Huang says over 60 people report to him, without one-on-ones.
  • People rarely leave: NVIDIA's yearly staff turnover is 3.7%, versus a 21.9% average across the tech industry.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

-2%
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