Manager, Deep Learning Algorithms - Training Framework at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

Excellent understanding of SDLC practices including architecting, testing, continuous integration, and documentation
MS, PhD or equivalent experience in Computer Science, AI, Applied Math, or related field
8+ overall years of industry experience, including 3+ years of management experience
Proven experience to lead and scale high-performing engineering teams, especially across distributed and functional groups
Experience with AI Frameworks (e.g. PyTorch, JAX), and/or inference and deployment environments (e.g. TRTLLM, vLLM, SGLang)
Proficient in Python programming, software design, debugging, performance analysis, test design and documentation
Consistent record of working effectively across multiple engineering initiatives and improving AI libraries with new innovations

Responsibilities

Plan, schedule, mentor, and lead the execution of projects and activities of the team
Collaborate with internal customers to align priorities across business units
Coordinate projects across different geographic locations
Grow and develop a world-class team
Contribute and advance open source NeMo Framework
Solve large-scale, end-to-end AI training challenges, spanning the full model lifecycle from initial orchestration, data pre-processing, running of model training and tuning, to model deployment
Work at the intersection of computer-architecture, libraries, frameworks, AI applications and the entire software stack
Innovate and improve model architectures, distributed training algorithms, and model parallel paradigms

Skills

Deep Learning

Distributed Training

Model Parallelism

LLM

Multimodal Models

NeMo Framework

SDLC

Architecting

Continuous Integration

Performance Tuning

APIs

Computer Architecture

AI Frameworks

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.

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