Engineering Manager, Deep Learning Inference — GPU AI

NVIDIA AI; Santa Clara (CA); On-site; USD 224,000 - 431,000; Full time

Benefits offered by this job

Equity compensation

Benefits

Job summary

NVIDIA is seeking a Manager of Deep Learning Inference Software to lead a world-class team delivering GPU-accelerated inference software. You will guide OSS frameworks strategy, oversee optimization of large-scale models, and drive cross-functional collaboration across compiler, libraries, and research teams.

Ideal candidates have 6+ years of software development, 3+ years in leadership, and deep experience with CUDA, Triton, and CUTLASS. Equity and benefits are included.

Qualifications

• MS, PhD, or equivalent experience in Computer Science, Electrical/Computer Engineering, or a related field.
• 6+ overall years of software development experience, including 3+ years in technical leadership or engineering management.
• Strong background in C/C++ software design and development; proficiency in Python is a plus.
• Hands-on experience with GPU programming (CUDA, Triton, CUTLASS) and performance optimization.
• Proven record of deploying or optimizing deep learning models in production environments.
• Experience leading teams using Agile or collaborative software development practices.

Responsibilities

• Lead, mentor, and scale a high-performing engineering team focused on deep learning inference and GPU-accelerated software.
• Guide the strategy, roadmap, and execution of NVIDIA's OSS inference frameworks engineering.
• Partner with internal compiler, libraries, and research teams to deliver end-to-end optimized inference pipelines across NVIDIA accelerators.
• Oversee performance tuning, profiling, and optimization of large-scale models for LLM, multimodal, and generative AI applications.
• Guide engineers in adopting best practices for CUDA, Triton, CUTLASS, and multi-GPU communications (NIXL, NCCL, NVSHMEM).
• Represent the team in roadmap and planning discussions, ensuring alignment with NVIDIA's broader AI and software strategies.
• Foster a culture of technical excellence, open collaboration, and continuous innovation.

Skills

Leadership

Agile practices

Mentoring teams

Education

MS/PhD or equivalent experience in CS/EE

Tools

CUDA

Triton

CUTLASS

Job description

NVIDIA is seeking a Manager of Deep Learning Inference Software to lead a world-class team delivering GPU-accelerated inference software. You will guide OSS frameworks strategy, oversee optimization of large-scale models, and drive cross-functional collaboration across compiler, libraries, and research teams.

Ideal candidates have 6+ years of software development, 3+ years in leadership, and deep experience with CUDA, Triton, and CUTLASS. Equity and benefits are included.