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Remote Ai Hardware Jobs (NOW HIRING)

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 ...

Staff Forward Deployed Engineer

North, SC · On-site +1

$100K - $500K/yr

This role is remote, based out of North America, with preference near one of our main hubs: Santa ... Where co-design of AI hardware and software translates into unique latency and throughput ...

Hardware System Diagnostic Engineer

Mountain View, CA · On-site +1

$175K - $450K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop diagnostic tools covering the AI chip, PCIe, HBM, power, and thermal * Define test coverage ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

Senior HRIS Analyst

Santa Clara, CA · On-site +1

$115K - $160K/yr

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing ... Clara, CA office or remote U.S. Responsibilities: * Lead the evaluation, selection, and ...

Senior HRIS Analyst

Santa Clara, CA · On-site +1

$115K - $160K/yr

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing ... Clara, CA office or remote U.S. Responsibilities: * Lead the evaluation, selection, and ...

Hardware Security Architect, Principal

$200K - $300K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About Positron AI Positron AI is building next-generation AI inference accelerators designed from ... Remote-first culture with a company-provided computer and home office setup Compensation and future

Hardware Systems Electrical Engineer

Mountain View, CA · On-site +1

$175K - $450K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with high-power AI server design is desirable. * Experience with BMC and DC-SCM designs ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

Software Engineer - Simulators

Mountain View, CA · On-site +1

$175K - $362K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Join us to shape the future of AI hardware abstraction and optimization! What You'll Do Here ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

Work alongside experienced hardware engineers, researchers, and AI specialists on high-impact projects. * Enjoy the flexibility of a fully remote engagement with opportunities for continued ...

Lead Software Engineer, Kernels

Mountain View, CA · On-site +1

$175K - $400K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... specialized AI hardware. You will partner with the ML team to maximize output and improve ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

Showing results 21-40

Remote Ai Hardware information

See salary details

$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.

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 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.

AI Infrastructure & Platform Operations Engineer (remote in the US)

Mirantis

Remote

$110K - $144K/yr

Full-time

Posted 29 days ago


Job description

Company Description

Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment-on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy.  https://www.mirantis.com/

Job Description

Our organization is establishing an Americas-based AI Infrastructure & Platform Operations unit dedicated to the management of expansive AI ecosystems utilizing NVIDIA GPU acceleration, high-speed interconnects, Kubernetes, and bleeding-edge platform frameworks.

This team maintains the reliability, efficiency, and architectural integrity of vital AI service platforms across a global datacenter footprint. Positioned at the nexus of core infrastructure and network engineering, you will sustain the high-performance environments essential for contemporary AI application suites.

This position offers the chance to engage with pioneering AI hardware while driving the development of automated operational capabilities via the k0rdent AI platform.

Responsibilities

  • Monitor, operate, and support production AI infrastructure platforms.

  • Investigate and resolve infrastructure, networking, hardware, and platform-related incidents.

  • Support NVIDIA GPU infrastructure and associated platform services.

  • Monitor and troubleshoot Kubernetes-based environments.

  • Investigate performance, availability, and reliability issues across infrastructure and platform components.

  • Collaborate with engineering teams, hardware vendors, Data Center personnel, and service delivery teams to resolve technical issues.

  • Participate in incident response, root cause analysis, and operational improvement activities.

  • Contribute to improvements in monitoring, observability, automation, and operational processes.

  • Maintain operational documentation, runbooks, and knowledge articles.

Qualifications

Required Experience

  • 3+ years of experience in infrastructure operations, platform operations, network operations, site reliability engineering, cloud operations, datacenter operations, or related technical roles.

  • Strong Linux administration and troubleshooting skills.

  • Good understanding of networking concepts and experience diagnosing infrastructure-related issues.

  • Working knowledge of Kubernetes in production environments.

  • Experience supporting production infrastructure and services.

  • Strong analytical and problem-solving skills.

  • Experience working within structured operational and incident management processes.

  • Excellent communication and collaboration skills.

Ability to work within a shift-based operational environment.

Preferred Experience

Experience in one or more of the following areas is highly desirable:

  • NVIDIA GPU infrastructure and accelerated computing platforms.

  • InfiniBand networking and NVIDIA UFM.

  • Kubernetes platform operations.

  • AI infrastructure or HPC environments.

  • Site Reliability Engineering (SRE) or Platform Engineering.

  • Observability platforms such as Grafana, Prometheus, ELK, or OpenTelemetry.

  • Infrastructure automation technologies and Infrastructure-as-Code practices.

  • Large-scale distributed systems and production platforms.

Why Join Us?

  • Work with some of the most advanced AI infrastructure environments in production today.

  • Gain exposure to NVIDIA GPU technologies, Kubernetes platforms, and high-performance networking environments.

  • Help define how next-generation AI infrastructure is operated and supported.

  • Be part of a team shaping the future of AI-powered operations through k0rdent AI.

  • Join a growing organisation investing heavily in AI infrastructure and platform services.

Additional Information

What does Mirantis offer you?

  • Work with an established Silicon Valley leader in the cloud infrastructure industry;
  • Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies;
  • Be a part of cutting-edge, open-source innovation;
  • Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued;
  • Professional development and training;
  • Attend conferences and working groups;
  • Company outings, happy hours, hackathons, and tech talks;
  • Receive a competitive compensation package with a strong benefits plan.

We are a Leader for Container Management in G2 (#2 after AWS)!