NVIDIA

Performance Engineer - Deep Learning

Santa Clara, California, United States

$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

Software Engineer, Deep Learning Performance

Position Overview

  • Location Type: Hybrid
  • Employment Type: Full Time
  • Salary: $120,000 - $235,750 USD (Base salary range, determined by location, experience, and pay of similar employees)
  • Brief Description: NVIDIA is seeking software engineers at all experience levels to build and optimize tools for Deep Learning engineers. This role involves working with multiple teams and the open-source community to improve NVIDIA’s AI platform and contribute to frameworks like TensorFlow, PyTorch, and MXNet.

Requirements

  • Education: BS or equivalent experience in Computer Science, Electrical Engineering, or a related field.
  • Programming Languages: 2+ years of experience with C++ and Python programming.
  • Parallel Programming: Strong background with parallel programming, preferably on GPUs.
  • Knowledge: Knowledge of Computer Architecture and/or Operating Systems.
  • Experience: Proven experience developing large software projects.
  • Communication: Excellent verbal and written communication skills.

Responsibilities

  • Optimize the performance of Deep Learning models for NVIDIA GPUs and systems.
  • Study and tune Deep Learning training workloads at large scale.
  • Optimize production AI models used by enterprise customers and partners.
  • Build and support NVIDIA submissions to community benchmarks like MLPerf.
  • Optimize the performance of influential, contemporary models coming out of academic and industry research, for NVIDIA GPUs and systems.
  • Deliver the benefits of NVIDIA’s latest hardware and platform software innovations to the Deep Learning community.
  • Inform design of new hardware generations and core platform software components for NVIDIA GPUs and systems.

Application Instructions

  • NVIDIA accepts applications on an ongoing basis. Interested candidates should apply through NVIDIA’s career website.

Company Information

  • Company: NVIDIA
  • Industry: Technology (Deep Learning, Artificial Intelligence, Autonomous Vehicles)
  • Benefits: Equity and comprehensive benefits package.
  • Commitment: NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. They value diversity in their current and future employees.

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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