Full-Time

Principal Software Engineer

Visual AI

Posted on 1/7/2025

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$272k - $425.5kAnnually

+ Equity

Expert

Company Historically Provides H1B Sponsorship

Remote in USA

Candidates are preferred from the US locations mentioned.

Category
Backend Engineering
Full-Stack Engineering
Software Engineering
Required Skills
Python
CUDA
Microservices
C/C++
Computer Vision

You match the following NVIDIA's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • MS or equivalent experience in Computer Science, Computer Engineering, or related field.
  • Outstanding technical breadth across areas such as generative AI, visual understanding, and 3d reconstruction
  • Proficiency with Python and C++. Basic familiarity with GPU programming, e.g. in CUDA.
  • 10+ year track record of converting research ideas into production software, leading development activities including algorithm selection, implementation, data collection, and validation.
  • Innovation resulting in outstanding products, patents, and publications.
Responsibilities
  • Contributing to our technical strategy for visual AI developer software through insight into key developer challenges and innovative ways to mitigate those challenges with accelerated computing.
  • Invent and prototype new features, tools, workflows, and services that help AI developers advance the state of the art faster and more cost-effectively.
  • Drive new capabilities to production services that will run on hundreds or thousands of GPUs including profiling and optimizing code, building tests, deploying microservices, debugging quality gaps, fine tuning and optimize models, automating workflows, creating metrics and trackers.
  • Lead major projects including feature and architectural definition, project planning and estimation, execution, and mentorship for teammates.
  • Collaborate with our research teams to adapt their work and to influence research direction
  • Provide technical expertise in deep-learning based computer vision to teams across NVIDIA and support critical initiatives in this area
  • Demonstrate consistently high levels of creativity resulting in patents, product differentiation and advances in visual AI.
Desired Qualifications
  • Proficiency with common cloud software such as Helm Charts, Milvus, ELK, Docker, etc.
  • Strong software architecture skills
  • Experience building developer centric tools and services

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). These products help developers, data scientists, and IT administrators perform complex tasks efficiently. NVIDIA stands out from competitors by offering a combination of hardware and software solutions, including cloud-based services like NVIDIA CloudXR and NGC, which enhance user experiences in AI, machine learning, and computer vision. The company's goal is to drive innovation through continuous research and development, providing advanced solutions to a diverse clientele that includes gamers, researchers, and enterprises.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of VinBrain enhances NVIDIA's AI-driven healthcare solutions.
  • Investment in Nebius Group boosts NVIDIA's AI infrastructure capabilities.
  • Partnership with Serve Robotics aligns with NVIDIA's focus on robotics and AI applications.

What critics are saying

  • Increased competition from AI startups like xAI challenges NVIDIA's market position.
  • Serve Robotics' rapid expansion may lead to financial strain if market growth lags.
  • Integration challenges from VinBrain acquisition may affect NVIDIA's operational efficiency.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
  • The Omniverse platform enhances NVIDIA's capabilities in industrial AI and digital twins.
  • NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

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Benefits

Company Equity

401(k) Company Match

INACTIVE