NVIDIA

Senior Software Engineer, PyTorch - Deep Learning

Santa Clara, California, United States

$148,000 – $287,500Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Deep Learning, High Performance Computing, Autonomous VehiclesIndustries

Requirements

Candidates should possess a Master’s degree in Computer Science or Engineering, or equivalent professional experience. They must have at least three years of experience in High Performance Computing and proficiency in C++ programming. Demonstrated experience with Thread and Distributed Parallel Programming is also required, along with strong verbal and written communication skills.

Responsibilities

The Senior Software Engineer will design and build PyTorch components that run efficiently on Super Computers with 1000s of GPUs, collaborate with NVIDIA’s hardware and software teams to improve GPU performance, design and support production AI solutions for enterprise customers and partners, and work with internal applied researchers to improve their AI tools.

Skills

C++
Thread Programming
Distributed Parallel Programming
Large Software Development
Python
CUDA Programming
Machine Learning
Open Source Participation
AI Tools Development

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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