Engineering Manager, Deep Learning Inference

NVIDIA Corporation; Santa Clara (CA); Hybrid; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Hybrid work model

Job summary

NVIDIA Corporation is seeking a Manager of Deep Learning Inference Software to lead a world-class team advancing AI model deployment on NVIDIA GPUs. You will drive strategy, mentoring, and execution of inference frameworks for Client AI, collaborating across compiler, libraries, and research groups.

You will oversee performance tuning for large models (LLM, multimodal, generative AI), using CUDA, Triton, and multi-GPU communications. Equity and comprehensive benefits are offered.

Qualifications

• MS/PhD in Computer Science, Electrical/Computer Engineering, or related field.
• 6+ years software development, 3+ years leadership or management.
• Strong C/C++ design; Python a plus.

Responsibilities

• Lead and scale a high-performing team focused on deep learning inference and GPU-accelerated software.
• Drive strategy, roadmaps, and execution of inference frameworks for Client AI.
• Collaborate with compiler, libraries, and research teams to deliver optimized inference pipelines.

Skills

C/C++ development

GPU programming

CUDA

Triton

CUTLASS

Python

Performance optimization

DL inference

Distributed systems

Education

MS/PhD in CS/EE

Tools

NCCL

NVSHMEM

Triton

CUTLASS

TensorRT

Job description

NVIDIA is seeking an exceptional Manager, Deep Learning Inference Software, to lead a world-class engineering team advancing the state of AI model deployment. You will shape the software powering today's most sophisticated AI systems - from large language models to multimodal generative AI - all accelerated on NVIDIA GPUs.

What you'll be doing:

• Lead, mentor, and scale a high-performing engineering team focused on deep learning inference and GPU-accelerated software.
• Drive the strategy, roadmap, and execution of NVIDIA's inference frameworks engineering, focusing on Client AI.
• 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.

What we need to see:

• 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.

Ways to Stand out from The Crowd:

• Significant open-source contributions to deep learning or inference frameworks such as PyTorch, vLLM / SGLang, Triton, or TensorRT-LLM.
• Deep understanding of multi-GPU communications (NIXL, NCCL, NVSHMEM) and distributed inference architectures.
• Expertise in performance modeling, profiling, and system-level optimization across CPU and GPU platforms.
• Proven ability to mentor engineers, guide architectural decisions, and deliver complex projects with measurable impact.
• Publications, patents, or talks on LLM serving, model optimization, or GPU performance engineering.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, our rapid growth means endless opportunities for career advancement. If you're a passionate technical leader ready to shape the future of AI inference frameworks - and build the software that powers the world's most advanced models - we'd love to hear from you.

#LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

The base salary range is 184,000 USD - 287,500 USD for Level 2, and 224,000 USD - 356,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 9, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.

As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.

Learn more about NVIDIA.