AI Software Engineer

🕒 Yesterday

🏄 California – Remote

🏄 California – Remote

💵 $224k - $431.3k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Build and ship software for upcoming, not-yet-announced projects bringing world models and video diffusion models to real-time gaming • Train, fine-tune, and evaluate models, including data curation and adapting models to game-specific content and controls • Optimize models and inference for latency, token throughput, and quality using distillation, quantization, and reduced-step sampling on RTX devices and in the cloud • Profile and remove bottlenecks across the stack, from model architecture to GPU kernels • Integrate models into Unreal Engine, Unity, and custom engines to run efficiently alongside rendering • Lead technical decisions, mentor other engineers, and collaborate with NVIDIA Research, rendering, and art teams

🎯 Requirements

• BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent experience • 12+ years of software engineering experience, including substantial hands-on work shipping AI, deep learning, or machine learning systems • Expert-level C++ and Python • Hands-on experience training and fine-tuning deep learning models with PyTorch or a similar framework, including distributed training • Experience in video generation, world models, diffusion or flow-matching models, transformers, or neural rendering • Experience optimizing GPU inference with CUDA, TensorRT, TensorRT-LLM, or Triton • Track record of turning complex prototypes into shipped products • Clear communication across research, engineering, and art • Hands-on experience with interactive, action-conditioned, or real-time world models or video generation is advantageous • Experience developing custom CUDA or Triton kernels is advantageous • Experience with game engine development or real-time rendering pipelines is advantageous • Open-source contributions, publications, or patents are advantageous • Resume and cover letter required

🏖️ Benefits

• Equity • Benefits