Manager, Deep Learning Algorithms 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

Artificial Intelligence, TechnologyIndustries

Requirements

Minimum BSc or equivalent experience
8+ years of overall related experience, including 3 years of management/leadership experience
Experience leading multiple software engineering projects
Strong experience with Large Language Models (LLMs) and Large Visual-Language Models (VLMs)
Excellent programming, debugging, performance analysis, and test design skills
Great communication skills
Ability to work in a multifaceted, product-centric environment
Excellent interpersonal skills
Good understanding of deep learning and strong algorithmic background
Exposure to large scale LLM/VLM deployment and inference optimization

Responsibilities

Plan, schedule, mentor, and lead the execution of projects and activities of the team, including creating, optimizing, and deploying inference DL workloads
Collaborate with internal customers to align priorities across business units
Coordinate projects across different geographic locations
Grow and develop a world-class team
Travel to conferences, other sites, or visit customers occasionally
Own related activities and interactions with teams across NVIDIA
Work with key internal partners on priority alignment across relevant teams for roadmap development of highly optimized novel and state-of-the-art numerical, analytics, and deep learning algorithms and associated R&D duties
Lead and mentor forward-thinking engineers

Skills

Key technologies and capabilities for this role

Deep LearningLLMVLMInference OptimizationGPUsNumerical AlgorithmsAnalytics AlgorithmsProject ManagementMentoringLeadership

Questions & Answers

Common questions about this position

What is the salary range for this position?

The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 425,500 USD for Level 4, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Is this role remote or does it require office work?

This information is not specified in the job description.

What skills and experience are required for this role?

Required qualifications include a minimum BSc or equivalent, 8+ years of overall experience with 3 years in management/leadership, experience leading multiple software engineering projects, strong experience with LLMs and VLMs, and excellent programming, debugging, performance analysis, test design, and communication skills.

What is the company culture like at NVIDIA for this team?

NVIDIA fosters a diverse work environment and is committed to being an equal opportunity employer. The role involves working in a multifaceted, product-centric environment with excellent interpersonal skills required, collaborating across teams and geographic locations.

What makes a candidate stand out for this position?

Candidates stand out with experience in inference of DL models, performance analysis and tuning, exposure to inference platforms like TensorRT-LLM, vLLM, and SGLang, and familiarity with project management tools such as JIRA or Microsoft Project.

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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