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Remote Nvidia Hardware Engineer Jobs in Berkeley, CA

Pano

Computer Vision Engineer

San Francisco, CA · On-site +1

$141K - $184K/yr

Our platform combines advanced hardware, software, artificial intelligence, satellite imagery, and ... We are a team of more than 175 people working in a hybrid-remote environment across North America ...

Pano

Senior Computer Vision Engineer

San Francisco, CA · On-site +1

$195K - $255K/yr

Our platform combines advanced hardware, software, artificial intelligence, satellite imagery, and ... We are a team of more than 175 people working in a hybrid-remote environment across North America ...

Pano

Product Manager-Hardware

San Francisco, CA · On-site +1

$190K - $230K/yr

Embedded with our hardware engineering team, you'll serve as the product voice across each ... Familiarity with connectivity technologies relevant to remote field deployments, including LTE/5G ...

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All JobsNvidia Hardware Engineer JobsRemote Nvidia Hardware Engineer JobsRemote Nvidia Hardware Engineer Jobs in Berkeley, CA

Remote Nvidia Hardware Engineer information

See Berkeley, CA salary details

$62.4K

$179.1K

$240.6K

How much do remote nvidia hardware engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote nvidia hardware engineer in Berkeley, CA is $179,050.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,200.00 and $199,600.00 per year, depending on experience, location, and employer.

What does a remote Nvidia hardware engineer do?

A Remote Nvidia Hardware Engineer focuses on designing, developing, and testing hardware components and systems for Nvidia products, such as graphics processing units (GPUs) and related technologies, while working from a remote location. They collaborate with cross-functional teams to ensure hardware solutions meet performance, reliability, and efficiency standards. Their work may include circuit design, board layout, hardware debugging, and supporting the integration of Nvidia hardware into various devices. Remote engineers use digital communication and collaboration tools to work effectively with global teams and contribute to innovative hardware solutions.

What is the difference between Remote Nvidia Hardware Engineer vs Remote Nvidia Software Engineer?

AspectRemote Nvidia Hardware EngineerRemote Nvidia Software Engineer
Required CredentialsBachelor's or higher in Electrical Engineering, Computer Engineering, or related; hardware design certificationsBachelor's or higher in Computer Science, Software Engineering, or related; programming certifications
Work EnvironmentDesigning and testing hardware components, collaborating with hardware teamsDeveloping software, drivers, and algorithms for Nvidia products
Industry UsageHardware development for GPUs, AI accelerators, and embedded systemsSoftware development for drivers, SDKs, and AI frameworks

The main difference is that Remote Nvidia Hardware Engineers focus on designing and testing physical hardware components, while Remote Nvidia Software Engineers develop the software that runs on Nvidia hardware. Both roles require technical expertise but differ in their focus areas within the Nvidia ecosystem.

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

Remote Nvidia Hardware Engineers often encounter challenges related to effective collaboration and communication, especially when working on complex hardware design and testing with distributed teams. Staying aligned with project milestones, ensuring access to necessary hardware resources, and troubleshooting remotely can also be demanding. These challenges can be addressed by leveraging robust collaboration tools, maintaining clear documentation, and scheduling regular virtual meetings to synchronize efforts. Additionally, using remote desktop solutions and cloud-based simulation environments can help bridge the gap when physical access to hardware is limited.

What are the key skills and qualifications needed to thrive as a remote Nvidia hardware engineer, and why are they important?

To thrive as a Remote Nvidia Hardware Engineer, you need a strong background in electrical or computer engineering, experience with GPU architecture, and proficiency in hardware design and validation. Expertise with tools such as Verilog/VHDL, simulation environments, and familiarity with Nvidia’s development platforms or relevant certifications is common. Strong problem-solving abilities, effective remote communication, and collaborative teamwork skills set top candidates apart. These competencies ensure efficient development, troubleshooting, and innovation in high-performance hardware solutions within distributed teams.
What are popular job titles related to Remote Nvidia Hardware Engineer jobs in Berkeley, CA? For Remote Nvidia Hardware Engineer jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Remote Nvidia Hardware Engineer jobs in Berkeley, CA look for? The top searched job categories for Remote Nvidia Hardware Engineer jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Remote Nvidia Hardware Engineer jobs? Cities near Berkeley, CA with the most Remote Nvidia Hardware Engineer job openings:
Remote Nvidia Hardware Engineer jobs near you
Infographic showing various Remote Nvidia Hardware Engineer job openings in Berkeley, CA as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $179,050 per year, or $86.1 per hour.

Autonomous Vehicle Test Engineer supporting Nvidia

Sustainable Talent

San Francisco, CA • Remote

$70 - $97/hr

Full-time

Re-posted yesterday

Job description

Autonomous Vehicle Test Engineer

Location: Remote, United States
Employment Type: Contract / Temporary
Work Location: US, CA, Remote

Sustainable Talent is partnering with NVIDIA, a global leader that has been transforming computer graphics, PC gaming, and accelerated computing for over 25 years. We are looking for an Autonomous Vehicle Operator – Autonomous Vehicle Test Engineer to support our client's autonomous vehicle testing team. This role is remote and will focus on test creation, quality analysis, and issue investigation for autonomous vehicle software systems. This is a W-2 full-time REMOTE contract role. We offer competitive pay $70/hr-$97/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!

We are seeking a highly technical and detail-oriented professional who is passionate about autonomous vehicle technology and excited to work at the intersection of software, hardware, and vehicle testing. In this role, you will analyze issues reported from vehicle testing, create and manage test suites, support testing infrastructure, and help improve the quality and accuracy of autonomous vehicle software.

What You'll Be Doing

As a member of the Autonomous Vehicle Test team, you will support end-to-end problem analysis for issues identified during daily vehicle testing. You will work closely with software and hardware engineering teams across multiple disciplines to help deliver a high-quality autonomous driving product.

Responsibilities include:

  • Analyze issues reported from routine autonomous vehicle testing.
  • Execute problem analysis processes, including issue triage, root cause analysis, issue categorization, reporting, and summary documentation.
  • Create test suites, manage test configurations, and support infrastructure for running tests.
  • Analyze test accuracy and investigate root causes of errors that lead to inaccurate test results.
  • Communicate with development teams to understand functional design and stay current on evolving technologies.
  • Develop documentation and tools to support issue analysis.
  • Collect test data from routine in-car testing and provide feedback on software performance after testing and analysis.
  • Collaborate with automotive software testing, software engineering, and hardware engineering teams to improve product quality.
What We Need to See
  • Technical education or background in Electrical Engineering, Automotive Engineering, Computer Science, Software Engineering, or a related field.
  • Experience and proficiency with Python.
  • Experience in test engineering within a robotics or automotive environment.
  • Strong analytical and problem-solving skills.
  • Ability to perform issue triage, root cause analysis, and technical documentation.
  • Self-motivated mindset with a willingness to learn new technologies and adapt in a fast-moving environment.
  • Strong communication skills and the ability to collaborate with cross-functional engineering teams.
  • Passion for autonomous vehicle technology and software quality.
Ways to Stand Out from the Crowd
  • Experience in software testing or software development for autonomous vehicles or autonomous driving systems.
  • Experience creating test suites or managing test infrastructure.
  • Familiarity with vehicle data analysis, robotics testing, or automotive software validation.
  • Ability to work across both software and hardware teams in a technical testing environment.
About Sustainable Talent

Sustainable Talent is a certified woman-owned company specializing in recruitment, consulting, and workforce solutions. We partner with innovative organizations to connect exceptional talent with meaningful opportunities across technology, engineering, operations, and professional services.

Equal Opportunity Statement

Sustainable Talent is proud to be an equal opportunity employer. We are committed to building a diverse and inclusive workforce and welcome applicants from all backgrounds, experiences, and perspectives.

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