Senior AI Systems and Algorithms Engineer

Company: Nvidia

Location: US, CA, Santa Clara (Remote)

Salary: $152k - $241.5k per year

Type: Full-time

Remote: Yes

Posted: 2026-08-05

About this role

NVIDIA is seeking a Senior GenAI Algorithms Engineer to advance the state of the art in foundation model development, training, and deployment. You will work at the intersection of large-scale distributed training, reinforcement learning for LLMs/VLMs, model efficiency, multimodal AI, and open-source AI infrastructure. This role spans the entire GenAI lifecycle from large-scale data preparation to training, post-training, inference optimization, and framework development. You will collaborate with research, product, and infrastructure teams to design new algorithms, optimize existing systems, and contribute to NVIDIA's open-source AI stack, including Megatron-LM, Megatron Bridge, and NeMo-RL.

What You'll Be Doing:

  • Data Curation & Readiness: Design scalable systems for preparing high-quality multimodal datasets for frontier foundation model training.
  • Training Efficiency: Develop algorithms and systems that improve the scalability, efficiency, and cost of large-scale pre-training and post-training.
  • Inference Efficiency: Advance techniques that improve inference performance, reduce deployment cost, and enable efficient serving across cloud and edge platforms.
  • Open-Source AI Infrastructure: Develop reusable infrastructure and contribute brand new model support to NVIDIA's open-source GenAI training platform.

What We Need to See:

  • 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.
  • Strong analytical, debugging, and performance optimization skills.
  • Excellent communication and collaboration skills.

Ways to stand out from the crowd:

Experience in some of the following areas is highly desirable:

  • Large-Scale Training: Distributed t...

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