Deep Learning Algorithm Engineer - New College Grad 2026 jobs in United States
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NVIDIA · 9 hours ago

Deep Learning Algorithm Engineer - New College Grad 2026

NVIDIA is a leading company in AI computing, and they are seeking a Deep Learning Algorithm Engineer to enhance performance in training and inference. The role involves collaborating on GPU architecture and deep learning frameworks to optimize performance and improve the efficiency of AI workloads on NVIDIA GPUs.

AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
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H1B Sponsor Likelynote

Responsibilities

Evaluating, explaining, and improving deep learning workloads for both training and inference, contributing to advancements in throughput, latency, and efficiency across NVIDIA GPU platforms
Collaborating across NVIDIA with researchers, engineers, and hardware specialists to recognize bottlenecks and achieve performance improvements
Developing production-quality software across the deep learning platform stack, from frameworks to deployment
Building automation and diagnostics that enable reproducible, scalable, and backend-agnostic performance improvements

Qualification

Deep learningGPU performance analysisPythonC++High-performance computingComputer architecturePyTorchCollaborationProblem-solving

Required

Pursuing or recently completed a Master's or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field (or equivalent experience)
Relevant experience in deep learning, high-performance computing, or related fields
Extensive background in improving deep learning workloads, showcasing a deep understanding of training and inference constraints
Proven ability in GPU performance analysis and profiling, with hands-on experience applying advanced optimization techniques
Solid knowledge of computer architecture and familiarity with the fundamentals of GPU development
Strong programming skills in Python and C++

Preferred

Proven track record of analyzing, modeling, and tuning application performance with measurable impact
Concrete experience in optimizing models in PyTorch for both training and inference tasks
Developments in performance tooling, profiling infrastructure, or diagnostics that elevated training and inference efficiency
Background in GPU programming (CUDA or OpenCL) is a strong plus, though not required

Benefits

Equity
Benefits

Company

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

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
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)

Funding

Current Stage
Public Company
Total Funding
$4.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity

Leadership Team

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Jensen Huang
Founder and CEO
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Michael Kagan
Chief Technology Officer
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Company data provided by crunchbase