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Remote Electrical Engineer Nvidia Jobs in Arizona

Strong experience with GPU programming, particularly on NVIDIA GPUs . * Proficiency in CUDA, WebGPU, or GLSL . * Strong C++ programming skills. * Background in graphics programming, ML acceleration ...

New

Strong experience with GPU programming, particularly on NVIDIA GPUs . * Proficiency in CUDA, WebGPU, or GLSL . * Strong C++ programming skills. * Background in graphics programming, ML acceleration ...

New

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Experience using GPU profiling tools such as NVIDIA Nsight or similar. * Strong understanding of ...

New

CUDA Developer - Remote

Phoenix, AZ · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Experience using GPU profiling tools such as NVIDIA Nsight or similar. * Strong understanding of ...

New

This position is a remote position or is a hybrid position in any of the following offices - West ... Engineering of distribution electrical projects through the entire project lifecycle: from ...

Support efforts related to automated measurement, remote instrument control, and data-driven test workflows. Required Skills and Experience * Master's degree or Ph.D. in Electrical Engineering ...

... engineering teams through advanced 3D modeling and coordination. This role involves creating and ... This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ...

... engineering teams through advanced 3D modeling and coordination. This role involves creating and ... This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ...

Showing results 21-40

Remote Electrical Engineer Nvidia information

What does a remote electrical engineer at Nvidia do?

A Remote Electrical Engineer at Nvidia is responsible for designing, developing, and testing electrical components and systems used in Nvidia's products, such as GPUs, data center hardware, and AI platforms. Working remotely, they collaborate with cross-functional teams to optimize circuit designs, ensure product reliability, and solve complex engineering challenges. These engineers also use simulation tools, review schematics, and contribute to the full product development lifecycle, all while communicating effectively with colleagues across different locations.

What are the key skills and qualifications needed to thrive as a remote electrical engineer at Nvidia?

To thrive as a Remote Electrical Engineer at Nvidia, you need a strong background in electrical engineering principles, circuit design, and experience with hardware development, typically supported by a relevant engineering degree. Proficiency with CAD tools (such as Altium Designer or Cadence), simulation software, and familiarity with industry standards is usually required, along with certifications like Professional Engineer (PE) being advantageous. Excellent problem-solving, self-motivation, and effective virtual communication are crucial soft skills for collaborating with distributed teams and managing complex projects remotely. These competencies ensure high-quality, innovative hardware solutions and seamless teamwork in Nvidia’s fast-paced, technology-driven environment.

What are some common challenges faced by remote electrical engineers at Nvidia, and how can they be effectively addressed?

Remote Electrical Engineers at Nvidia often encounter challenges such as maintaining clear communication with cross-functional teams, staying aligned with hardware development timelines, and accessing specialized lab equipment. To address these, Nvidia provides robust collaboration tools, schedules regular virtual team meetings, and may offer remote access to lab resources or coordinate periodic on-site visits. Proactive communication and strong organizational skills are key to thriving in this remote environment, ensuring projects stay on track and technical issues are resolved efficiently.

What is the difference between Remote Electrical Engineer Nvidia vs Remote Electronics Engineer Nvidia?

AspectRemote Electrical Engineer NvidiaRemote Electronics Engineer Nvidia
Required CredentialsBachelor's in Electrical Engineering, relevant certificationsBachelor's in Electronics Engineering, similar certifications
Work EnvironmentDesign, testing, and development of electrical systemsDesign and testing of electronic components and circuits
Employer & Industry UsageUsed in hardware development, system integrationUsed in circuit design, embedded systems
Common Search & ComparisonOften compared for electrical hardware rolesOften compared for electronic circuit roles

Remote Electrical Engineer Nvidia and Remote Electronics Engineer Nvidia share overlapping skills and work environments, but focus on different aspects of hardware development. Electrical engineers typically work on power systems and larger hardware, while electronics engineers focus on circuit design and embedded systems. Both roles are vital in Nvidia's hardware innovation and are often searched together by professionals in hardware development.

What are the most commonly searched types of Electrical Engineer Nvidia jobs in Arizona?

The most popular types of Electrical Engineer Nvidia jobs in Arizona are:

What job categories do people searching Remote Electrical Engineer Nvidia jobs in Arizona look for?

The top searched job categories for Remote Electrical Engineer Nvidia jobs in Arizona are:

What cities in Arizona are hiring for Remote Electrical Engineer Nvidia jobs?

Cities in Arizona with the most Remote Electrical Engineer Nvidia job openings:

GPU Programmer - Remote

YO AI Labs

Phoenix, AZ • Remote

$60 - $85/hr

Full-time

Posted 3 days ago

New


Job description

GPU Programmer - Remote

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU programming, performance optimization, and C++ development to build high-performance solutions.

Key Responsibilities
  • Design, implement, and optimize GPU software using CUDA, WebGPU, or GLSL.

  • Profile and optimize GPU kernels and shaders for performance and efficiency.

  • Develop host-side logic and GPU integrations using C++.

  • Create GPU-focused tasks and solutions for AI/LLM applications.

  • Analyze performance bottlenecks and implement optimization strategies.

Required Qualifications
  • Strong experience with GPU programming, particularly on NVIDIA GPUs.

  • Proficiency in CUDA, WebGPU, or GLSL.

  • Strong C++ programming skills.

  • Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU-focused fields.

  • Strong understanding of GPU architecture and performan