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Remote Ai Hardware Jobs (NOW HIRING)

Positron AI

ASIC Design Verification Engineer

$200K - $350K/yr

Flexible work environment with remote work options If you are excited about ensuring the highest quality AI hardware and leading an advanced verification team, we want to hear from you! Apply today.

Runware

Hardware - General Manager

Company Description Runware is the fastest AI-as-a-Service platform for media generation Runware is ... Benefits We're a remote-first collective, meeting in person twice a year to plan, brainstorm ...

NextSilicon

HPC Systems Administrator

Minneapolis, MN · Remote

Our software-defined hardware architecture empowers HPC/AI to deliver groundbreaking discoveries ... Location : Hybrid in either our Austin, TX or Minneapolis, MN offices preferred but Remote ...

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Remote Ai Hardware information

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$51K

$146.2K

$196.5K

How much do remote ai hardware jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote ai hardware in the United States is $146,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,500.00 and $163,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Ai Hardware vs Remote Ai Software Developer?

AspectRemote Ai HardwareRemote Ai Software Developer
Required CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related fields; hardware certificationsBachelor's in Computer Science, Software Engineering, or related fields; programming certifications
Work EnvironmentDesign, testing, and development of AI hardware components; labs and remote collaborationDeveloping AI algorithms, coding, and software testing; remote coding environments
Industry UsageHardware manufacturing, AI chip design, embedded systemsAI application development, machine learning models, software solutions
Common Search/ComparisonYesYes

Remote Ai Hardware focuses on designing and testing physical AI components, requiring hardware expertise. Remote Ai Software Developer concentrates on coding and developing AI algorithms and applications. Both roles often collaborate but differ mainly in their focus on hardware versus software development within the AI industry.

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What cities are hiring for Remote Ai Hardware jobs?

Cities with the most Remote Ai Hardware job openings:

What are the most commonly searched types of Ai Hardware jobs?

The most popular types of Ai Hardware jobs are:

What states have the most Remote Ai Hardware jobs?

States with the most job openings for Remote Ai Hardware jobs include:

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The top searched job categories for Remote Ai Hardware jobs are:

Remote Ai Hardware jobs near you
Infographic showing various Remote Ai Hardware job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $146,230 per year, or $70.3 per hour.

Founding Engineer, Applied AI

David Joseph & Company

San Francisco, CA • On-site, Remote

$180K - $250K/yr

Full-time

Re-posted 20 days ago

Job description

San Francisco, CA · On-site (SF strongly preferred; open to exceptional remote) · Full-time Compensation: $180,000–$250,000 + 0.1%–1% equity

About the Company

Our client is a stealth-stage startup building AI for hardware engineering at complex manufacturers — automating engineering compliance and accelerating innovation at the intersection of AI, hardware, software, law, and policy. It partners with some of the world's most iconic automotive, aerospace, and industrial manufacturers and is backed by top-tier venture firms. The founding team spans AI, advanced engineering, and policy, including leaders drawn from top industry and government.

Industry: AI / Advanced manufacturing

The Role

The client is hiring a Founding Applied AI Engineer to build the core systems behind its automation engine for hardware engineering — designing, implementing, and post-training AI agents that power critical product-development workflows for global enterprise customers. It's a deeply technical, high-impact role; you'll be among the first technical hires and will own mission-critical systems end to end.

Tech stack: Python, PyTorch, Hugging Face, W&B.

Requirements
  • 2–6 years of experience (open to exceptional new grads)
  • Strong Python and ML-library experience (PyTorch, Hugging Face, W&B)
  • Experience building production ML or AI systems
  • Strong familiarity with LLM architectures and agent research trends
  • A Bachelor's or higher in CS, ML, or equivalent
  • A genuine interest in the technology, not just the money
Nice to Haves
  • Experience in law/policy or customer-facing product work
  • A track record of high-impact contributions or published papers at a top-tier AI lab or team
  • A background in a domain with real-world constraints (automotive, aerospace, robotics, energy)
  • Experience with geometric data, CAD, or complex engineering-design data
  • Post-training or fine-tuning experience
  • Genuine interest in the intersection of AI, hardware development, and policy
Why Join
  • Founding-level ownership: among the first technical hires, owning mission-critical AI systems end to end
  • Heavyweight backing and team: top-tier venture backing with a founding team drawn from top industry and government leadership
  • Real-world impact: build AI that integrates directly into the engineering environments of iconic automotive, aerospace, and industrial manufacturers
Details
  • Location — San Francisco, CA
  • Work policy — On-site (SF strongly preferred; open to exceptional remote)
  • Compensation — $180,000–$250,000 + 0.1%–1% equity
  • Visa sponsorship — Available (H-1B, O-1, OPT)
  • Employment type — Full-time