ZipRecruiter

Log In

1

Ai Hardware Engineer Jobs (NOW HIRING)

Flux Protocol, Inc

DevOps Engineer

San Francisco, CA · On-site

$62.25 - $85/hr

Why Flux Flux is taking the hard out of hardware, by developing the first AI Hardware Engineer. Our goal is to democratize the ability to create bleeding edge hardware, and revolutionize how ...

Flux Protocol, Inc

Senior DevOps Engineer

San Francisco, CA · On-site

$153.20K - $196.80K/yr

Why Flux Flux is taking the hard out of hardware, by developing the first AI Hardware Engineer. Our goal is to democratize the ability to create bleeding edge hardware, and revolutionize how ...

OTSI

Hardware Engineer

Longmont, CO · On-site

$122.10K - $161.10K/yr

Object Technology Solutions, Inc (OTSI) has an immediate opening for Hardware Engineer 5 Hardware ... AI-led ecosystems to accelerate innovation and business growth. With over 26 years of experience ...

Flux

Senior DevOps Engineer

San Francisco, CA · On-site

$153.20K - $196.80K/yr

Why Flux Flux is taking the hard out of hardware, by developing the first AI Hardware Engineer. Our goal is to democratize the ability to create bleeding edge hardware, and revolutionize how ...

Flux

Platform Engineer

San Francisco, CA · On-site

Why Flux Flux is taking the hard out of hardware, by developing the first AI Hardware Engineer. Our goal is to democratize the ability to create bleeding edge hardware, and revolutionize how ...

EnCharge AI

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing ... About the Role EnCharge AI is looking for an experienced AI Research Engineer to optimize deep ...

Flux

Senior Platform Engineer

San Francisco, CA · On-site

$123.10K - $169.10K/yr

Why Flux Flux is taking the hard out of hardware, by developing the first AI Hardware Engineer. Our goal is to democratize the ability to create bleeding edge hardware, and revolutionize how ...

Coreforce

SENIOR HARDWARE ENGINEER

Atlanta, GA · Hybrid

$106.30K - $141.80K/yr

Join Our Team as a Senior Hardware Engineer Company: Coreforce Location: Hybrid /Remote Job Type ... AI-Accelerated Engineering * Use AI tools daily to accelerate schematic design, documentation ...

Coreforce

SENIOR HARDWARE ENGINEER

Atlanta, GA · On-site

$150K/yr

Join Our Team as a Senior Hardware Engineer Company: Coreforce Location: Hybrid /Remote Job Type ... AI-Accelerated Engineering * Use AI tools daily to accelerate schematic design, documentation ...

Flux Protocol, Inc

Senior Platform Engineer

San Francisco, CA · On-site

$123.10K - $169.10K/yr

Why Flux Flux is taking the hard out of hardware, by developing the first AI Hardware Engineer. Our goal is to democratize the ability to create bleeding edge hardware, and revolutionize how ...

Google

Hardware Engineer

Mountain View, CA · On-site

$145.70K - $192.30K/yr

Bachelor's degree in Electrical Engineering, Computer Engineering, Physics or a related field and 2 ... Our Devices & Services team combines the best of Google AI, Software, and Hardware to create ...

Nvidia

AI Hardware Architect

Austin, TX

NVIDIA is hiring an AI Hardware Architect to analyze andarchitectthe next generation of Artificial ... Guide customers and firmware engineers to extract the most performance from microarchitectural ...

Cisco Systems, Inc.

Hardware Engineer

Milpitas, CA

$135.80K - $193.40K/yr

Meet the Team The Common Hardware Group (CHG) creates innovative hardware platforms central ... to the AI era, powering Cisco's Switching, Routing, and Wireless products for organizations ...

Arlo Technologies, Inc.

Hardware Engineer

Carlsbad, CA

$75K - $90K/yr

Arlo's deep expertise in AI- and CV-powered analytics, cloud services, user experience, product ... Title: Hardware Engineer Location: Carlsbad, CA Contract: Fulltime/12-month Fixed Term Tasks:

New

Cisco

Hardware Engineer

Milpitas, CA

$135.80K - $193.40K/yr

Meet the Team The Common Hardware Group (CHG) creates innovative hardware platforms central ... to the AI era, powering Cisco's Switching, Routing, and Wireless products for organizations ...

next page

Showing results 1-20

People also search for

All JobsAi Hardware Engineer Jobs

Ai Hardware Engineer information

See salary details

$51K

$146.2K

$196.5K

How much do ai hardware engineer jobs pay per year?

As of Jun 1, 2026, the average yearly pay for ai hardware engineer 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 are the key skills and qualifications needed to thrive as an AI Hardware Engineer, and why are they important?

To thrive as an AI Hardware Engineer, you need strong foundations in computer engineering, digital logic design, and knowledge of machine learning algorithms, typically supported by a degree in electrical engineering or computer engineering. Familiarity with hardware description languages (such as Verilog or VHDL), FPGA/ASIC development tools, and experience with simulation and debugging systems are essential. Problem-solving abilities, attention to detail, and effective teamwork are standout soft skills for this role. These skills are crucial for creating efficient, reliable AI hardware solutions and collaborating across multidisciplinary teams to advance cutting-edge technologies.

How do AI Hardware Engineers typically collaborate with software and data teams during the development process?

AI Hardware Engineers work closely with software developers and data scientists to ensure that hardware architectures are optimized for specific AI workloads. Collaboration often involves regular meetings to discuss performance requirements, compatibility challenges, and customizations needed for machine learning models. By maintaining open communication channels, hardware engineers can adapt designs based on feedback from software and data teams, ensuring seamless integration and optimal system performance.

What are AI Hardware Engineers?

AI Hardware Engineers are professionals who design, develop, and optimize computer hardware systems specifically for artificial intelligence applications. Their work involves creating specialized processors, such as GPUs, TPUs, or custom chips, that accelerate machine learning tasks and handle large-scale data processing efficiently. They collaborate with software engineers to ensure hardware and AI models work seamlessly together, improving performance, power efficiency, and scalability of AI systems. AI Hardware Engineers play a crucial role in advancing technologies used in data centers, autonomous vehicles, robotics, and edge devices.

What is the difference between Ai Hardware Engineer vs AI Software Engineer?

AspectAi Hardware EngineerAI Software Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related fields; knowledge of hardware design and programmingBachelor's or higher in Computer Science, Software Engineering, or related; proficiency in programming languages and AI frameworks
Work EnvironmentDesigning, testing, and developing AI hardware components in labs or manufacturing settingsDeveloping AI algorithms and applications in software development environments
Employer & Industry UsageTech companies, hardware manufacturers, research labsSoftware firms, tech startups, AI research organizations

While both roles focus on AI, Ai Hardware Engineers specialize in creating the physical components that enable AI systems, whereas AI Software Engineers develop the algorithms and software that run on hardware platforms. Understanding these differences helps job seekers target the right roles based on their skills and interests.

More about Ai Hardware Engineer jobs
What cities are hiring for Ai Hardware Engineer jobs? Cities with the most Ai Hardware Engineer job openings:
What states have the most Ai Hardware Engineer jobs? States with the most job openings for Ai Hardware Engineer jobs include:
What job categories do people searching Ai Hardware Engineer jobs look for? The top searched job categories for Ai Hardware Engineer jobs are:
Ai Hardware Engineer jobs near you

DevOps Engineer

Flux Protocol, Inc

San Francisco, CA • On-site

$62.25 - $85/hr

Full-time

Posted 11 days ago

Job description

Why Flux
Flux is taking the hard out of hardware, by developing the first AI Hardware Engineer. Our goal is to democratize the ability to create bleeding edge hardware, and revolutionize how electronics are designed and built around the world.
About the Role
Flux is building the world's first AI Hardware Engineer, and that means everything around it has to just work.
As a DevOps Engineer, you'll work on the full-stack systems that power Flux's platform experience beyond the editor: billing, authentication, onboarding, and integrations.
You'll ship production features that touch every user, keep the lights on, and make it possible for Flux to scale.
Responsibilities
  • Improve the reliability, availability, and operational health of production systems.
  • Set observability standards across services (metrics, logs, errors).
  • Set SLOs/SLIs, alerting, and on-call readiness with a focus on signal quality.
  • Partner with engineers to design resilient systems and reduce operational risk early.
  • Build internal tooling that improves system safety, debugging, and developer velocity.
  • Manage infrastructure via Pulumi across GCP, AWS, and Firebase.

Required Qualifications
  • 5+ years SRE, DevOps, or production operations experience.
  • At least 2 years of TypeScript web app development experience.
  • Proven experience operating and scaling production systems with uptime and latency goals.
  • Strong hands-on experience with observability stacks (Datadog, Sentry, or similar).
  • Experience defining SLOs/SLIs and building effective alerting strategies.
  • Proficiency with CI/CD systems and infrastructure-as-code.
  • Experience with cloud-native and serverless platforms (GCP, AWS).
  • Strong cross-system debugging and incident response skills.

Preferred Qualifications
  • Experience with multi-product distributed cloud tracing (stitching together Datadog, Sentry, GCP tracing).
  • Familiarity with containerized and serverless workloads (Cloud Run, Firebase, Lambda).
  • Experience supporting large TypeScript monorepos and build tooling (PNPM).
  • Background supporting AI-powered systems or high-variance workloads.
  • Startup experience or ownership of systems through rapid growth.

Profile
Impact-oriented: You don't feel done until real people are getting real value from what you built.
Ambiguity-native: You thrive in the undefined. Our work is full of half-mapped terrain, soft constraints, and ideas that shift under your feet. That energizes you. You constantly update your intuitions as you go, and are excited to discover new and better ways to attack challenges we're still finding words to describe.
Collaborative: You share your thoughts early and often, and welcome debate and creative collaboration. Flux is a deeply collaborative company, and we believe that the best ideas can only win if they're said out loud.
Convention-averse: Flux is an AI-first company, building AI tooling, using AI tooling. We constantly experiment with new tools, techniques, and processes. You feel an urgency to reimagine what your work looks like in this rapidly changing world, and you value critical thinking far above established conventions.
Ownership mentality: You are a self-starter, bias toward action, and care deeply about the team and community who lean on you and your work.

Apply