Senior DL Inference Engineer – GPU Optimization Equity

NVIDIA; Santa Clara (CA); On-site; USD 152,000 - 241,500; Full time

Benefits offered by this job

Equity options

Comprehensive benefits

Job summary

NVIDIA is seeking a Senior DL Algorithms Engineer to optimize LLM/Omni models and enhance performance across its software stack. The ideal candidate will have a PhD and 3+ years of experience in deep learning, specifically in inference.

This role involves profiling, analyzing bottlenecks, and collaborating with teams to advance AI solutions. A strong understanding of computer architecture and proficiency in PyTorch are essential. The position offers a competitive salary and equity options.

Qualifications

• 3+ years of experience in the field.
• Strong background in GPU-based applications.
• Deep understanding of computer architecture and GPU fundamentals.

Responsibilities

• Optimize state-of-the-art models on NVIDIA’s accelerated inference stack.
• Contribute new features and deliver production code to open-source frameworks.
• Analyze performance bottlenecks and improve inference performance.
• Conduct competitive analysis for NVIDIA’s software/hardware stack.
• Collaborate with partner teams on next-gen AI models.

Skills

Deep learning and neural networks

Performance profiling and optimization

PyTorch or equivalent frameworks

GPU programming (CUDA or OpenCL)

Education

PhD in Computer Science, Electrical Engineering or equivalent experience

Job description

NVIDIA is seeking a Senior DL Algorithms Engineer to optimize LLM/Omni models and enhance performance across its software stack. The ideal candidate will have a PhD and 3+ years of experience in deep learning, specifically in inference.

This role involves profiling, analyzing bottlenecks, and collaborating with teams to advance AI solutions. A strong understanding of computer architecture and proficiency in PyTorch are essential. The position offers a competitive salary and equity options.