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Remote Ai Hardware Jobs (NOW HIRING)

Senior Product Manager, Hardware

New York, NY ยท On-site +1

$138K - $182K/yr

Leverage AI to transform legacy processes and deliver products faster. * Ecosystem & Experience ... Remote work from home month in August * Flexible PTO (we trust you to take the time you need)

Remote, US - #remoteLI About Toast: Toast is driven by building the restaurant platform that helps ... Experience shipping products in Voice AI, conversational interfaces, or wearable hardware is ...

This work sits at the intersection of AI, hardware, and human-centered design, requiring a rare blend of technical depth, customer empathy, and platform thinking. This is a remote position open to ...

Infrastructure Engineer (Storage)

New York, NY ยท On-site +1

$117K - $154K/yr

This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote ... Data center operations experience, including working with physical hardware * Familiarity with AI ...

AI Accelerator Silicon Architect

Mountain View, CA ยท On-site +1

$175K - $450K/yr

Our hardware will make a given level of intelligence available 3-5 years sooner. We are developing ... In exceptional cases, remote work arrangements may be considered. Compensation The US base salary ...

Whether you're joining our Hardware, Software, or Services division, you'll work alongside talented ... Onsite / Remote / Flexible work arrangements or hybrid options (position dependent) * Relocation ...

Hardware Lifecycle Coordinator

Denver, CO ยท On-site +1

$20 - $26.75/hr

This position can be remote or hybrid. ๐Ÿš€ Why this role, why now If you love making complex ... You'll do it in a company investing heavily in automation and AI-enabled workflows, meaning you'll ...

Lead Edge AI/ML Engineer

Richmond, VA ยท On-site +1

$101K - $133K/yr

This role requires close collaboration with PNT, embedded software, hardware integration, and ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

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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 Jun 8, 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:
Infographic showing various Remote Ai Hardware job openings in the United States as of May 2026, with employment types broken down into 68% Full Time, 24% Part Time, and 8% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $146,230 per year, or $70.3 per hour.
Senior Hardware Systems Engineer - AI Rack & Cluster Infrastructure

Senior Hardware Systems Engineer - AI Rack & Cluster Infrastructure

Arista Networks

Santa Clara, CA โ€ข On-site, Remote

$131 - $175K/hr

Full-time

Medical, Dental, Vision

Posted yesterday


Job description

Company Description

Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. What sets us apart is our relentless pursuit of innovation. We leverage the latest advancements in cloud computing, artificial intelligence, and software-defined networking to provide our clients with a competitive edge in an increasingly interconnected world. Our solutions are designed to not only meet the current demands of the digital landscape but to also anticipate and adapt to future challenges.

At Arista we value the diversity of thought and perspectives that each employee brings to the table. We believe that fostering an inclusive environment, where individuals from various backgrounds and experiences feel welcome, is essential for driving creativity and innovation.

Our commitment to excellence has earned us several prestigious awards, such as Best Engineering Team, Best Company for Diversity, Compensation, and Work-Life Balance. At Arista, we take pride in our track record of success and strive to maintain the highest standards of quality and performance in everything we do.

Job Description

Who You'll Work With
As a Senior Rack Solution Engineer at Arista, you'll collaborate with hyperscale customers, strategic partners, and cross-functional teams, including hardware, software, thermal, and manufacturing engineers, to deliver rack-scale solutions for the world's largest AI and cloud deployments. You will lead both technical design and lastmile execution, ensuring Arista platforms integrate cleanly into large-scale AI and cloud clusters.

What You'll Do
Lead the design, validation, and deployment of next-generation rack architectures optimized for hyperscale data centers:

  • Own rack-scale design and deployment of AI and cloud infrastructure-translating cluster architectures into production-ready rack solutions
  • Integrate networking, power, cooling,ย into high-density GPU environments, ensuring performance, scalability, and serviceability
  • Lead last-mile execution for hyperscale deployments-working directly with customers and internal teams to bring clusters from design to reality
  • Design and optimize rack layouts and cabling systems, including fiber/copper routing, patch panels, and high-density interconnects
  • Drive cross-functional delivery across hardware, thermal, manufacturing, and software teams-from concept through NPI and volume deployment
  • Create deployment standards and technical documentation (rack elevations, BOMs, runbooks, solution briefs) used by operators and customers
Qualifications

Minimum

  • Bachelor's degree in Electrical, Mechanical Engineering, orย  Computer Engineering, or related field (or equivalent practical experience)

  • 8+ years in rack integration, data center engineering, or hardware systems design, including hyperscale or large enterprise deployments

  • Deep expertise in structured cabling, high-density networking (Ethernet QSFP/OSFP, PCIe), and spine/leaf architectures

  • Proven experience with rack cooling (liquid interfaces, thermal optimization) and power systems (PDUs, busways)

  • Strong project leadership with NPI experience managing cross-functional deliverables

  • Proven ability to generate and manage cluster BOMs, rack elevations, and deployment standards under tight timelines. Ability to assess and make design tradeoffs.

  • Excellent technical writing skills for data sheets, briefs, and documentation, plus troubleshooting and communication abilities

  • Excellent communication, internal and external stakeholder management, and collaboration skills

Preferred

  • Experience with Arista EOS, hyperscale deployments, or ORv3 rack standards

  • Strong understanding of computer and cluster networks; exposure to Arista EOS or cloud networking environments is a plus

  • CAD proficiency (SolidWorks/AutoCAD) and regulatory compliance knowledge

  • Experience working directly with hyperscalers or large-scale AI/ML cluster deployments

  • Experience building or specifying automation tools for BOM management, configuration generation, or deployment workflows.

  • Proven ability to manage and work with remote vendors and integration partners

  • CAD proficiency (e.g., SolidWorks, AutoCAD) and familiarity with global safety and regulatory requirements for rack systems

  • Experience with developing or driving standards or multi-source agreements

Additional Information

Compensation Information
Base pay range: $131- $175k flexible (depending on experience and location). Includes equity, bonuses, and comprehensive benefits.ย The actual salary offered will be based on a wide range of factors, including skills, qualifications, relevant experience, and US location. The salary range provided reflects the base salary and in addition may also be eligible for discretionary Arista bonuses, commissions, equity, and benefits including medical, dental, vision, wellbeing, tax savings and income protection. The recruiting team can share more details during the hiring process specific to the role and location

#LI-TH1

Arista Networks is an equal opportunity employer.ย  Arista makes all hiring and employment-related decisions in a non-discriminatory manner without regard to race, color, religion, sex, sexual orientation, gender identity, national origin or any other factor determined to be unlawful under applicable federal, state, or law law.ย  All your information will be kept confidential according to EEO guidelines.