Senior AI Systems and Algorithms Engineer

NVIDIA
Santa Clara, New York, Virginia, Colorado, New Jersey
Workplace: OnsiteFull timeUSD 152,000 - 287,500 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Analytical","Debugging","Performance optimization","Communication","Collaboration"]

Advance NVIDIA’s GenAI foundation model lifecycle, from multimodal data curation through large-scale pretraining and RL post-training to inference and deployment optimization. Design and implement algorithms and high-performance systems spanning distributed training efficiency, reinforcement learning for LLMs/VLMs, and model efficiency for cloud and edge. Collaborate across research, product, and infrastructure, contributing to NVIDIA’s open-source AI stack (e.g., Megatron-LM, Megatron Bridge, NeMo-RL).

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FursaFursa
NVIDIA
NVIDIA
2 hours ago

Senior AI Systems and Algorithms Engineer

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Job Summary

Advance NVIDIA’s GenAI foundation model lifecycle, from multimodal data curation through large-scale pretraining and RL post-training to inference and deployment optimization. Design and implement algorithms and high-performance systems spanning distributed training efficiency, reinforcement learning for LLMs/VLMs, and model efficiency for cloud and edge. Collaborate across research, product, and infrastructure, contributing to NVIDIA’s open-source AI stack (e.g., Megatron-LM, Megatron Bridge, NeMo-RL).
Location: Santa Clara, New York, Virginia, Colorado, New Jersey
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design scalable systems for preparing high-quality multimodal datasets for frontier foundation model training.
  • •Develop algorithms and systems to improve scalability, efficiency, and cost for large-scale pre-training and post-training.
  • •Advance inference optimization to improve performance, reduce deployment cost, and enable efficient serving across cloud and edge platforms.
  • •Develop reusable open-source AI infrastructure and contribute new model support to NVIDIA’s GenAI training platform.
  • •Collaborate with research, product, and infrastructure teams to design new algorithms and optimize existing systems.

Pay and Benefits

Salary: USD 152,000 - 287,500 annually
Equity and Bonus:Equity

Key Requirements

  • •MS or Ph.D in Computer Science, AI, Applied Mathematics, or a related field (or equivalent experience).
  • •5+ years of relevant industry experience.
  • •Strong foundation in machine learning, deep learning, and optimization.
  • •Excellent software engineering skills, including Python and PyTorch.
  • •Experience building high-performance software for large-scale AI systems.
Experience:5+ yearsGenAIFoundation modelsDistributed trainingReinforcement learningOpen-source AI infrastructureLLM/VLM development
Education:
Skills:AnalyticalDebuggingPerformance optimizationCommunicationCollaboration
Tech Stack:PythonPyTorchMegatron-LMMegatron BridgeNeMo-RLHugging Face TransformersFSDPTP/PP/CP/DPDistributed trainingPPOGRPOQuantizationFP8NVFP4INT4Knowledge distillationNeural architecture searchDiffusionNon-autoregressive language models

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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