Senior Deep Learning Software Engineer, cuDNN at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

M.S. Degree in Computer Science, Electrical Engineering (or similar), or equivalent experience
4+ years of relevant work or research experience
Strong programming skills in C/C++ development, work experience with CUDA development, and familiarity with Python
Good understanding of linear algebra
Familiarity with the latest trends in machine learning, especially in large language models
Experience designing high level software architecture
Excellent problem solving skills, including applications of algorithms and data structures
Experience with performance analysis, profiling, and code optimization
Ability to work independently, define project goals and scope, and lead your own development effort

Responsibilities

Develop production-quality software that ships as part of NVIDIA's AI software stack, including cutting edge large language model support
Analyze the performance of important workloads, tuning our current software, and proposing improvements for future software
Work with cross-collaborative teams of deep learning software engineers and GPU architects to innovate across applications like large language models, autonomous driving, computer vision, and recommender systems
Adapt to the constantly evolving AI industry by being agile and excited to contribute across the codebase, including API design, software architecture, testing, and GPU kernel development
Mentoring junior engineers on the team

Skills

Key technologies and capabilities for this role

C++CUDAPythonLinear AlgebraDeep LearningMachine LearningLarge Language ModelsSoftware ArchitectureGPU Kernel Development

Questions & Answers

Common questions about this position

What is the salary range for this position?

The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Is this a remote position, or is there a required location?

This information is not specified in the job description.

What skills are required for this Senior Deep Learning Software Engineer role?

Required skills include strong programming in C/C++, CUDA development experience, Python familiarity, understanding of linear algebra, knowledge of machine learning trends especially large language models, high-level software architecture design, problem-solving with algorithms and data structures, performance analysis, and ability to work independently.

What is the team environment like at NVIDIA's cuDNN team?

The role involves working with cross-collaborative teams of deep learning software engineers and GPU architects, mentoring junior engineers, and contributing across the codebase in an agile manner to innovate in AI applications.

How can I make my application stand out for this role?

Highlight why you think you might be a great fit for the team, your M.S. degree or equivalent with 4+ years experience, and ways to stand out like GPU programming expertise, deep learning experience, work on large codebases, or incorporating new technologies.

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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