Engineering Manager, Deep Learning Inference

What You'll Be Doing

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.

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.

Pay

Competitive salaries and a comprehensive benefits package are offered. Base salary ranges from 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4. Equity and benefits are also provided.

Schedule

Applications for this job will be accepted at least until August 1, 2026.

Benefits

NVIDIA is committed to fostering an inclusive work environment and is 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.