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Ai Hardware Jobs (NOW HIRING)

Designworks Talent

Hardware Design Engineer

Bellevue, WA · Remote

Hardware / Machine Design Engineer Location: Hybrid | Bellevue, WA Area Titles: Principal (multiple ... The organization is developing a comprehensive AI infrastructure, platform, and services portfolio ...

Meta

AI Systems Engineer, Hardware Architecture

$208K/yr

AI Systems Engineer, Hardware Architecture Responsibilities: * Define multi-generation hardware architecture strategy for AI inference and training systems across VR, AR, and wearable device ...

Cerebras

Hardware Analytics Engineer

Sunnyvale, CA · On-site

$225K/yr

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture ... Hardware Analytics Engineer Job Duties: * Design and optimize scalable data pipeline architectures ...

Persimmons

Hardware Lab Technician

San Jose, CA · On-site

Founded in 2023 by veteran technologists from the worlds of semiconductors, AI systems, and ... What you'll do: As a Hardware Lab Technician, you will work inside our in-office hardware lab ...

Persimmons

Hardware Lab Technician

San Jose, CA · On-site

Founded in 2023 by veteran technologists from the worlds of semiconductors, AI systems, and ... What you'll do: As a Hardware Lab Technician, you will work inside our in-office hardware lab ...

Persimmons

Hardware Lab Technician

San Jose, CA · On-site

Founded in 2023 by veteran technologists from the worlds of semiconductors, AI systems, and ... What you'll do: As a Hardware Lab Technician, you will work inside our in-office hardware lab ...

River AI Inc.

RTL Design Engineer, Hardware

Palo Alto, CA · On-site

$200K - $420K/yr

At River AI, our mission is to create personal AI owned and shaped by each individual. To achieve this, we are rewriting the entire stack from scratch: personal hardware for local inference, custom ...

EnCharge AI

AI Compiler Engineer

$195K - $265K/yr

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge's robust and scalable next-generation in-memory computing technology provides orders-of ...

EnCharge AI

AI Compiler Engineer

$195K - $265K/yr

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge's robust and scalable next-generation in-memory computing technology provides orders-of ...

Triwill Group

Hardware Engineer, Test

San Francisco, CA · On-site

OpenAI's Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future ...

Triwill Group

OpenAI's Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future ...

OpenAI

Hardware Engineer, Test

San Francisco, CA · On-site

$177K - $300K/yr

OpenAI's Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future ...

Hark

Hardware Engineer, Power

San Jose, CA · On-site

$120K - $300K/yr

We're pairing that intelligence with next-generation hardware to create a universal interface ... While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on ...

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Ai Hardware information

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$51K

$146.2K

$196.5K

How much do ai hardware jobs pay per year?

As of Sep 15, 2026, the average yearly pay for 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 an AI hardware?

An AI Hardware job involves designing, developing, and optimizing computer hardware specifically for artificial intelligence applications. Professionals in this field work on specialized processors, accelerators, and memory systems to improve AI performance and efficiency. They collaborate with software engineers to ensure seamless integration between hardware and AI algorithms. Typical roles include AI chip designers, hardware architects, and FPGA engineers.

What are the typical day-to-day responsibilities of someone working in an AI hardware role?

Professionals in AI Hardware roles usually spend their days designing, developing, and testing specialized hardware components like processors, accelerators, and memory systems that support artificial intelligence workloads. Their work often involves collaborating closely with software engineers, data scientists, and system architects to optimize performance and ensure compatibility across platforms. They also participate in debugging, prototyping, and refining hardware based on simulation results, benchmarks, and real-world testing feedback. This combination of hands-on technical work and cross-functional collaboration creates a dynamic, results-oriented environment where innovation is highly valued.

What are the key skills and qualifications needed to thrive in the AI hardware position, and why are they important?

To succeed in AI Hardware roles, you should have a solid background in electrical engineering, computer engineering, or a related field, along with experience in hardware design and verification. Familiarity with tools like Verilog/VHDL, FPGA/ASIC development environments, and hardware simulation software is typically expected, and certifications such as a Professional Engineer (PE) license or specialized hardware design credentials can be advantageous. Strong problem-solving abilities, teamwork, and effective communication are essential soft skills for collaborating on complex, multi-disciplinary projects. These qualifications allow professionals to innovate and build efficient AI-optimized hardware systems that meet both performance and industry standards.

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Ai Hardware jobs near you
Infographic showing various Ai Hardware job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 62% Physical, 4% Hybrid, and 34% Remote job distribution, with an average salary of $146,230 per year, or $70.3 per hour.

Head of Modeling & Simulation, Frontier AI Hardware

San Francisco, CA • On-site

Sygaldry
See more jobs at Sygaldryexternal

$220K - $325K/yr

Full-time

Medical, PTO

Re-posted 10 days ago

Key responsibilities

  • Lead the effort to design, select, and implement Sygaldry's distributed simulation environment.

  • Define the simulation, modeling, and emulation roadmap for the company.

  • Set up the simulation infrastructure from scratch and interface with internal teams and external partners.

Job description

About Sygaldry
Sygaldry Technologies is building quantum-accelerated AI servers to exponentially speed up training and inference for AI. By integrating quantum and AI, we're accelerating the path to superintelligence, and engineering the conditions for it to scale efficiently and operate affordably. Sygaldry AI servers combine multiple qubit types within a single, fault-tolerant architecture to deliver the combination of cost, scale, and speed necessary for advanced AI applications. We pioneer new domains in physics, engineering, and AI, tackling the hardest challenges with a grounded, optimistic, and rigorous culture. We're looking for individuals ready to define the intersection of quantum and AI and drive its profound global impact.
What You'll Work On
This role is focused on the modeling and simulation of high-performing AI hardware, and does not require prior knowledge of quantum computers. This role is empowered to lead the definition and implementation of the simulation, modeling and emulation roadmap for the company. It will interface with a variety of internal teams and external partners with whom we are planning to collaborate. We will share more detail about this role during in-person discussions.
Key responsibilities:
  • Lead the effort to design, select and implement Sygaldry's distributed simulation environment
  • Define the simulation, modeling and emulation roadmap for the company
  • Set everything up the simulation infrastructure from scratch
  • Interface with a variety of internal teams and external collaboration partners
  • Work with internal teams that have developed estimation tools to coach them and help them integrate these tools into the simulation & modeling framework

You May Be a Fit if You Have:
  • Lead the effort to design, select and implement the modeling and simulation environment of a distributed AI acceleration architecture
  • Modeled complex training, inference and reasoning workflows implemented in a heterogeneous AI cluster of GPUs, CPUs and novel accelerators
  • Exposure to the simulation environments used by the GPU/XPU supplier, hyperscalers and/or frontier labs for simulation AI workloads on various system and hardware architectures
  • Familiarity with architecture modeling and distributed simulation platforms, such as Gem5, ASTRA-sim and such
  • Experience with C or SystemC behavioral models and timing-aware behavioral models
  • Experience with Verilog/VHDL RTL simulation platforms like VCS

How We're Different
We're building the infrastructure for quantum superintelligence and pioneering new domains at the intersection of physics, engineering, and AI. At Sygaldry, curiosity and intellectual courage drive our work. We approach ambitious challenges with a grounded, optimistic, and rigorous culture and know that kind people build the strongest teams. We prioritize mission over ego and collaborate openly with a strong sense of shared purpose. We dream big, yet we execute with a love of detail.
Culture & Benefits
  • The Best of Both Worlds: Access to the industrial-scale compute and hardware resources while retaining the intellectual freedom of an academic environment.
  • Visa Sponsorship: We know what it takes to make top talent thrive here. We're open to supporting visas whenever possible.
  • Benefits: Your well-being matters. We provide company-sponsored health coverage to give you and your family peace of mind.
  • Connection: Whether it's company offsite or casual crew socials, we make time to connect, recharge, and have fun together.
  • Time Off: We trust you to take the time you need. Unlimited PTO so you can rest, recharge, and come back ready to make an impact.

This position can work out of our San Francisco or Ann Arbor offices. Competitive compensation package is based on experience and location. Expected base salary range:
San Francisco, CA: $220K-$325K
Ann Arbor, MI: $180K-$290K
We encourage applications from candidates with diverse backgrounds. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristics.
We encourage you to apply even if you do not believe you meet every single qualification. If you don't think this role is right for you, but you believe that you would have something meaningful to contribute to our mission, please reach out to letsbuild@sygaldry.com.

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