Full-Time

Senior Software Engineer-Windows for ARM and TEGRA

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$148k - $287.5kAnnually

+ Equity

Senior

Company Historically Provides H1B Sponsorship

Austin, TX, USA + 1 more

More locations: Santa Clara, CA, USA

Category
Backend Engineering
Embedded Engineering
Electrical Engineering
Software QA & Testing
Software Engineering
Required Skills
Python
C/C++

You match the following NVIDIA's candidate preferences

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

Degree
Experience
Requirements
  • B.S. or M.S. in Computer Science, Computer Engineering, or Electrical Engineering (or equivalent experience)
  • 5+ years of "hands on" experience developing or maintaining user space library and tools
  • Extensive experience with programming in the Windows OS environment
  • Strong Windows debugging skills
  • Deep knowledge of Windows operating system and software interfaces
  • Excellent programming skills in C, C++ and Python
  • Experience with kernel device drivers, kernel development, debugging or working with low-level HW/SW Interface
Responsibilities
  • Work on System and Device Monitoring/Management Tools for our Compute Professional Solutions products specifically targeting NVIDIA Tegra platforms
  • Leverage the C-based NVML (NVIDIA Management Library) API, NVIDIA-SMI (NVIDIA System Management Interface) and C++ Device Monitoring libraries and tools
  • Effectively write maintainable and well-tested code as well as develop code for multiple operating systems
  • Coordinate and drive development efforts across multiple teams defining forward-looking improvements
  • Develop and maintain software features targeted at enabling and supporting NVIDIA GPU hardware
  • Focus on developing code targeting the Microsoft Windows OS
  • Support new hardware architectures for both pre-silicon and post-silicon
  • Work closely with other internal worldwide teams (software, hardware, architecture, OEM support)
  • Collaborate with customers understanding needs, defining feature requirements, and communicating new features and solutions

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 hardware sales, software licenses, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance applications in AI, machine learning, and computer vision. Unlike many competitors, NVIDIA focuses heavily on research and development to maintain its leadership in technology and innovation. The company's goal is to drive advancements in AI and computing to provide effective solutions for a wide range of clients, from gamers to 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