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...