Engineering Manager, Deep Learning Inference at NVIDIA

Santa Clara, California, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

MS, PhD, or equivalent experience in Computer Science, Electrical/Computer Engineering, or a related field
6+ 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
Drive the strategy, roadmap, and execution of NVIDIA’s inference frameworks engineering, focusing on SGLang
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

C/C++

Python

CUDA

Triton

CUTLASS

SGLang

vLLM

FlashInfer

NCCL

NVSHMEM

NIXL

GPU programming

performance optimization

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

Land your dream remote job 3x faster with AI

Try Jobo Free