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Remote Ai Hardware Jobs (NOW HIRING)

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.

Hardware Expert - Remote

Boston, MA · Remote

$50 - $100/hr

Hardware Expert - CAD & Mechanical Design Role Type: Contractor Location: Global, Fully Remote ... support an AI training project involving technical drawings and precise 3D modeling. Key ...

Hardware Expert - CAD & Mechanical Design Role Type: Contractor Location: Global, Fully Remote ... support an AI training project involving technical drawings and precise 3D modeling. Key ...

Hardware Expert - CAD & Mechanical Design Role Type: Contractor Location: Global, Fully Remote ... support an AI training project involving technical drawings and precise 3D modeling. Key ...

Hardware Expert - CAD & Mechanical Design Role Type: Contractor Location: Global, Fully Remote ... support an AI training project involving technical drawings and precise 3D modeling. Key ...

Hardware Expert - Remote

Austin, TX · Remote

$50 - $100/hr

Hardware Expert - CAD & Mechanical Design Role Type: Contractor Location: Global, Fully Remote ... support an AI training project involving technical drawings and precise 3D modeling. Key ...

Hardware Expert - CAD & Mechanical Design Role Type: Contractor Location: Global, Fully Remote ... support an AI training project involving technical drawings and precise 3D modeling. Key ...

Hardware Expert - CAD & Mechanical Design Role Type: Contractor Location: Global, Fully Remote ... support an AI training project involving technical drawings and precise 3D modeling. Key ...

Hardware Expert - Remote

Miami, FL · Remote

$50 - $100/hr

Hardware Expert - CAD & Mechanical Design Role Type: Contractor Location: Global, Fully Remote ... support an AI training project involving technical drawings and precise 3D modeling. Key ...

Hardware Expert - CAD & Mechanical Design Role Type: Contractor Location: Global, Fully Remote ... support an AI training project involving technical drawings and precise 3D modeling. Key ...

Hardware Expert - Remote

Dallas, TX · Remote

$50 - $100/hr

Hardware Expert - CAD & Mechanical Design Role Type: Contractor Location: Global, Fully Remote ... support an AI training project involving technical drawings and precise 3D modeling. Key ...

Hardware Expert - CAD & Mechanical Design Role Type: Contractor Location: Global, Fully Remote ... support an AI training project involving technical drawings and precise 3D modeling. Key ...

Hardware Expert - CAD & Mechanical Design Role Type: Contractor Location: Global, Fully Remote ... support an AI training project involving technical drawings and precise 3D modeling. Key ...

Hardware Expert - Remote

Boston, MA · Remote

$50 - $100/hr

Hardware Expert - CAD & Mechanical Design Role Type: Contractor Location: Global, Fully Remote ... support an AI training project involving technical drawings and precise 3D modeling. Key ...

Hardware Expert - CAD & Mechanical Design Role Type: Contractor Location: Global, Fully Remote ... support an AI training project involving technical drawings and precise 3D modeling. Key ...

Hardware Expert - CAD & Mechanical Design Role Type: Contractor Location: Global, Fully Remote ... support an AI training project involving technical drawings and precise 3D modeling. Key ...

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Showing results 1-20

Remote Ai Hardware information

See salary details

$51K

$146.2K

$196.5K

How much do remote ai hardware jobs pay per year?

As of Sep 4, 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.

More about Remote Ai Hardware jobs

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:

What job categories do people searching Remote Ai Hardware jobs look for?

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

Infographic showing various Remote Ai Hardware job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 8% Part Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $146,230 per year, or $70.3 per hour.

Senior ASIC Verification Engineer (AI Hardware)

4 Staffing Corp

San Jose, CA • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

About the job Senior ASIC Verification Engineer (AI Hardware)

Senior ASIC Verification Engineer (AI Hardware) - Remote (U.S.) - No Visa Sponsorship

Overview
Our client an AI / Compute company of the verge of being the next Nvidia is looking for an experienced ASIC Verification Engineer to help ensure the quality, reliability, and performance of their next-generation AI-focused silicon. In this role, you'll partner closely with design, architecture, and software teams to validate complex hardware systems and contribute to cutting-edge compute solutions. This position also offers the opportunity to take ownership of verification efforts and influence best practices across projects.

Key Responsibilities

  • Define and drive verification strategies for advanced ASIC designs used in AI/compute workloads
  • Build and execute detailed verification plans, including coverage goals and validation approaches
  • Develop scalable verification environments using System Verilog and UVM
  • Create simulation infrastructure, including testbenches and both directed and constrained-random test scenarios
  • Work cross-functionally with design and architecture teams to achieve coverage closure and functional accuracy
  • Identify, debug, and resolve design issues throughout pre-silicon and early silicon validation phases
  • Partner with FPGA and emulation teams to support early prototyping and validation efforts
  • Track project milestones, manage verification deliverables, and proactively address risks

Required Background

  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related discipline
  • 8+ years of hands-on experience in ASIC or SoC verification
  • Strong proficiency with System Verilog and UVM-based verification flows
  • Deep understanding of verification planning, coverage methodologies, and testbench architecture
  • Experience working with leading EDA toolchains (e.g., Cadence, Synopsys, Siemens EDA)
  • Solid debugging skills, including waveform analysis and scripting (Python, Tcl, or similar)
  • Exposure to high-performance compute architectures such as AI accelerators, memory hierarchies, or high-speed interfaces
  • Demonstrated success verifying complex silicon designs

Nice to Have

  • Advanced degree in a relevant engineering field
  • Experience with hardware/software integration or co-verification
  • Familiarity with formal verification methods
  • Exposure to post-silicon validation, bring-up, or lab debug processes