NVIDIA · 12 hours ago
Senior Software Engineer - Deep Learning
Santa Clara, CA
Full-time
Onsite
Senior Level, Lead/Staff
$184K/yr - $288K/yr
8+ years expNVIDIA has been transforming computer graphics and accelerated computing for more than 25 years. They are seeking outstanding engineers to join the NVIDIA AI for media team to develop and optimize real-time AI solutions for video streaming and broadcasting.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Develop highly efficient and low cost AI models and algorithms for computer vision and video AI
Optimize the performance, latency and power consumption of AI models on low power processors for deep learning acceleration
Deploying deep learning models and optimize the inference stack for real-time performance
Deliver the benefits of NVIDIA’s latest hardware and platform software innovations to the Deep Learning
Closely collaborate with different deep learning software and hardware teams across NVIDIA to influence roadmaps and deliver solutions
Qualification
Required
Strong experience of building and optimizing innovative AI model architectures for video use cases
Strong experience of developing efficient models with model pruning, distillation, post-quantization and quantization aware training
Experience with analyzing and fine-tuning deep learning pipeline performance
Experience with building real-time AI models for laptop and cloud use cases
Hands-on development skills using deep learning libraries and frameworks such as PyTorch/TensorFlow/ONNX, TensorRT/Triton/WinML and other neural processing SDKs
Collaboration ability to define project scope and roadmap together with the team while independently drive development effort with strong self-motivation
8+ years of relevant engineering or research background in deep learning and/or computer vision
BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, or related fields (or equivalent experience)
Preferred
Experience with AI inference accelerating hardware and building/optimizing models on them
Background with performance and latency analysis, profiling and tuning of AI workloads
Experience with CUDA programming, as well as a real passion for optimizing AI system performance
Experience of building platforms for computer vision such as real-time tracking of human face, gaze and body, as well as avatar animation and modeling
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
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