Principal Artificial Intelligence Algorithms Engineer jobs in United States
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NVIDIA ยท 5 months ago

Principal Artificial Intelligence Algorithms Engineer

positionUnited States
timeFull-time
remoteRemote
seniorityLead/Staff
money$272K/yr - $426K/yr
date10+ years exp

NVIDIA is looking for engineers for their core AI Frameworks team to design, develop and optimize diverse real world workloads. In this critical role, you will expand Megatron Core and NeMo Framework's capabilities by designing and implementing distributed training algorithms, model optimizations, and collaborating with internal partners and the open source community.

Computer Hardware Manufacturing
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H1B Sponsor Likelynote

Responsibilities

Develop algorithms for AI/DL, data analytics, machine learning, or scientific computing
Contribute and advance open source Megatron Core and NeMo Framework
Solve large-scale, end-to-end AI training and inference challenges, spanning the full model lifecycle from initial orchestration, data pre-processing, running of model training and tuning, to model deployment
Work at the intersection of compter-architecture, libraries, frameworks, AI applications and the entire software stack
Innovate and improve model architectures, distributed training algorithms, and model parallel paradigms
Performance tuning and optimizations, model training and finetuning with mixed precision recipes on next-gen NVIDIA GPU architectures
Research, prototype, and develop robust and scalable AI tools and pipelines

Qualification

AI FrameworksPython programmingDistributed computingModel parallelismGenerative AI techniquesPerformance tuningGPU/CPU architectureInnovationCollaborationProblem-solving

Required

MS, PhD or equivalent experience in Computer Science, AI, Applied Math, or related fields and 10+ years of industry experience
Experience with AI Frameworks (e.g. PyTorch, JAX), and/or inference and deployment environments (e.g. TRTLLM, vLLM, SGLang)
Proficient in Python programming, software design, debugging, performance analysis, test design and documentation
Consistent record of working effectively across multiple engineering initiatives and improving AI libraries with new innovations
Strong understanding of AI/Deep-Learning fundamentals and their practical applications

Preferred

Hands-on experience in large-scale AI training, with a deep understanding of core compute system concepts (such as latency/throughput bottlenecks, pipelining, and multiprocessing) and demonstrated excellence in related performance analysis and tuning
Expertise in distributed computing, model parallelism, and mixed precision training
Prior experience with Generative AI techniques applied to LLM and Multi-Modal learning (Text, Image, and Video)
Knowledge of GPU/CPU architecture and related numerical software
Contributions to open source deep learning frameworks

Benefits

Equity
Benefits

Company

NVIDIA

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Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing.
location
CA, Santa Clara
people-size10,001+ employees
web-link
http://www.nvidia.com

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
Late Stage
Company data provided by crunchbase