Performance Engineer - Deep Learning

Santa Clara, California, United States

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$120,000 – $235,750Compensation

Entry Level & New Grad, Mid-level (3 to 4 years), Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Deep Learning, Artificial IntelligenceIndustries

Requirements

Candidates should possess a Bachelor's degree in Computer Science, Electrical Engineering, or a related field, along with at least 2+ years of experience in C++ and Python programming. A strong background in parallel programming, particularly on GPUs, is required, as is knowledge of Computer Architecture and/or Operating Systems. Proven experience in developing large software projects is also necessary.

Responsibilities

The Performance Engineer will optimize the performance of Deep Learning models for NVIDIA GPUs and systems, study and tune Deep Learning training workloads at large scale, and optimize production AI models used by enterprise customers and partners. They will also build and support NVIDIA submissions to community benchmarks like MLPerf, optimize the performance of influential models, and deliver the benefits of NVIDIA’s hardware and platform software innovations to the Deep Learning community, while informing design of new hardware generations and core platform software components.

Skills

C++

Python

Parallel Programming

GPU Programming

Computer Architecture

Operating Systems

Deep Learning

Performance Optimization

TensorFlow

PyTorch

MXNet

MLPerf

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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