Full-Time

Senior Deep Learning Software Engineer

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Compensation Overview

$184k - $287.5kAnnually

+ Equity

Senior, Expert

Company Historically Provides H1B Sponsorship

Santa Clara, CA, USA

Category
Deep Learning
AI & Machine Learning
Software Engineering
Required Skills
Python
CUDA
Pytorch
Machine Learning
C/C++
Requirements
  • Masters or PhD or equivalent experience in Computer Science, Artificial Intelligence, Applied Math, or related field.
  • Excellent C++ programming and software design skills, including debugging, performance analysis, and test design.
  • Python experience also highly desired.
  • Distributed systems programming or numerical methods.
  • Prior experience with machine learning algorithms and frameworks, especially frameworks such as PyTorch, JAX, DGL, PyG etc.
  • Experience contributing to or managing a significant project involving community collaboration - proficiency in using online platforms for code sharing, bug tracking, code merging, licensing challenges, patch management, etc.
  • 7+ years of relevant software development experience.
Responsibilities
  • Developing core deep learning algorithms for both internal and 3rd party codebases.
  • Actively participate in the software development community and make valuable contributions to well-known software packages such as PyG, PyTorch, Modulus etc.
  • Integrating the latest CUDA libraries and features, performance tuning and analysis, implementing new algorithms, and other general software engineering work.
Desired Qualifications
  • Good at CUDA programming and parallel computing.
  • Advanced degree or equivalent experience in Computer Science, Electrical Engineering, or related field.
  • Experience contributing to or managing open-source projects.

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 main products are GPUs that enhance gaming experiences and support professional applications, along with AI and high-performance computing platforms tailored for developers and data scientists. NVIDIA stands out from competitors by offering a combination of hardware and software solutions, including cloud-based services like NVIDIA CloudXR and NGC, which enable scalable applications in AI and machine learning. The company's goal is to drive innovation in technology and provide advanced solutions that cater to a wide range of clients, from gamers to enterprises.

Company Size

10,001+

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of Augtera Networks boosts NVIDIA's networking capabilities and Spectrum-X portfolio.
  • Growing demand for NVIDIA GPUs in AI acceleration suggests potential market growth.
  • NVIDIA's support for AI-driven robotics solutions opens new market opportunities.

What critics are saying

  • Increased competition from Lambda's AI Cloud Platform challenges NVIDIA's market position.
  • Edge AI technologies may reduce demand for NVIDIA's cloud-based AI solutions.
  • Regulatory challenges in robot delivery services could impact NVIDIA's investment returns.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU technology.
  • The company excels in diverse markets: gaming, data centers, and autonomous vehicles.
  • NVIDIA's Omniverse platform enhances industrial AI applications and digital twin technology.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-1%
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