Senior Software Engineer, PyTorch - Deep Learning at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

BS in Computer Science or Engineering (or equivalent experience)
3+ years professional experience in deep learning
Proficient with C++ programming
Strong understanding of systems software and interfaces
Demonstrated experience with Thread and Distributed Parallel Programming
Demonstrated background developing large software projects
Strong verbal and written communication skills

Responsibilities

Design and build PyTorch components that run efficiently on supercomputers with 1000s-100ks of GPUs
Collaborate with NVIDIA’s hardware and software teams to improve the overall GPU performance in PyTorch
Design, build and support production AI solutions used by enterprise customers and partners
Work with internal applied researchers to improve their AI tools

Skills

Key technologies and capabilities for this role

PyTorchDeep LearningC++CUDAPythonDistributed Parallel ProgrammingSystems SoftwareThread ProgrammingGPU Programming

Questions & Answers

Common questions about this position

What is the salary range for this Senior Software Engineer position?

The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 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 position remote or hybrid?

This is a hybrid position.

What skills are required for this Senior Software Engineer role?

Required qualifications include a BS in Computer Science or Engineering (or equivalent), 3+ years professional experience in deep learning, proficiency with C++ programming, strong understanding of systems software and interfaces, demonstrated experience with Thread and Distributed Parallel Programming, demonstrated background developing large software projects, and strong verbal and written communication skills.

What is the team environment like at NVIDIA for this role?

You will embed in an ambitious and diverse team that influences all areas of NVIDIA's AI platform, work with multiple teams across fields, collaborate internationally with the PyTorch community, and work with internal applied researchers. NVIDIA has forward-thinking and talented people, with engineering teams growing fast in Deep Learning, AI, and Autonomous Vehicles, and is committed to fostering a diverse work environment.

What makes a candidate stand out for this position?

Ways to stand out include contributions and participation in the open source community, familiarity with deep learning compilers, familiarity with deep learning modeling trends, background with CUDA Programming as well as Python, and demonstrated experience working with multi-disciplinary teams.

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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