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Ai Hardware Jobs (NOW HIRING)

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 ...

EnCharge AI

$175K - $245K/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 ...

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 ...

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 ...

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 ...

Positron AI

ASIC Design Verification Engineer

$200K - $350K/yr

About Positron AI Positron AI specializes in developing custom hardware systems to accelerate AI inference. These inference systems offer significant performance and efficiency gains over traditional ...

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 ...

Meta

Hardware Engineer, Power

Menlo Park, CA

$173K/yr

Your work has the potential to shape the compute hardware and AI hardware going into our cutting-edge data centers affecting billions of users. Meta is seeking a motivated Power Engineer to join our ...

Everpure

Principal Hardware Engineer

Santa Clara, CA · On-site

$217K - $359K/yr

Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of ...

EnCharge AI

Principal Solutions Engineer

OR · On-site +1

$200K - $250K/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 ...

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How much do ai hardware jobs pay per year?

As of Sep 4, 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 August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $146,230 per year, or $70.3 per hour.

Hardware Analytics Engineer

Cerebras Systems

Sunnyvale, CA • On-site

$225K/yr

Full-time

Re-posted 8 days ago

Job description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.
This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
Cerebras Systems Inc. has multiple openings for Hardware Analytics Engineer
Title: Hardware Analytics Engineer
Job Duties:
  • Design and optimize scalable data pipeline architectures for multi-terabyte hardware telemetry, reliability analytics, and performance optimization.
  • Architect, develop, and optimize hyperscale data pipeline frameworks and ETL processes to aggregate, process, and analyze multi-terabyte hardware performance and telemetry streams, including utilization, power, thermal, acoustic, and reliability metrics across heterogeneous compute, storage, and AI server platforms, ensuring hardware performance compliance and operational reliability.
  • Design and implement hardware performance analysis and anomaly detection systems using Python, SQL, Tableau, Hive, and Spark to forecast hardware failure curves, identify performance bottlenecks, and generate prescriptive recommendations for hardware and system optimization.
  • Lead hardware characterization experiments and thermal/cooling A/B studies to evaluate operational envelopes, delivering validated strategies that reduce carbon footprint, improve water usage efficiency, and maintain or enhance system reliability.
  • Engineer telemetry ingestion, monitoring, and visualization systems to provide real-time, high-fidelity hardware health data to hardware, firmware, and datacenter operations teams, enabling data-driven decision-making at scale.
  • Define, operationalize, and maintain custom efficiency and reliability metrics; perform root cause analysis of systemic failures using large-scale statistical and machine learning methods; and deploy solutions that improve platform scalability, energy efficiency, and sustainability.
  • Collaborate with cross-functional engineering teams to troubleshoot complex failures, isolate defective components, and implement systemic fixes across CPU, GPU, DRAM, PCIe, networking, and storage subsystems.
  • Support the evolution and optimization of next-generation AI platforms and silicon products, including hardware subsystems (CPU, GPU, DRAM, PCIe, networking, and storage), to meet the performance, scalability, and efficiency demands of large language model training and inference workloads.

Minimum Requirements:
Master's degree or foreign equivalent degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field and 3 years of experience as Hardware Analytics Engineer, Hardware Engineer, Data Engineer, or a related occupation required.
Required Skills:
  • Large-scale data pipeline architecture and ETL, distributed data processing (Hive, Spark), and dashboard development;
  • Python, SQL, Tableau, Linux, and automation scripting;
  • Design, training, and deployment of machine learning models for hardware performance optimization and failure prediction;
  • Predictive modeling, statistical analysis, A/B testing, anomaly detection, and data visualization in hardware reliability and performance; and
  • Hardware analytics for compute, storage, and AI servers; power and thermal optimization; GPU burn-in efficiency optimization; and reliability modeling for AI hardware systems and components including CPU, GPU, DRAM, and SSD.

Additional Information:
Employer's name: Cerebras Systems Inc.
Job site : 1237 E Arques Avenue, Sunnyvale, CA 94085
Telecommuting permitted
Salary Range: $213,675.00 per year to $225,000.00 per year
If you are interested in applying for this position, please apply online on this web page or mail resume to HR at Cerebras Systems Inc., 1237 E Arques Avenue, Sunnyvale, CA 94085. Please reference Job # 144 on resume or cover letter.
Why Join Cerebras
People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we've reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
  1. Build a breakthrough AI platform beyond the constraints of the GPU.
  2. Publish and open source their cutting-edge AI research.
  3. Work on one of the fastest AI supercomputers in the world.
  4. Enjoy job stability with startup vitality.
  5. Our simple, non-corporate work culture that respects individual beliefs.

Find out more about what it's like to work at Cerebras here!
Apply today and become part of the forefront of groundbreaking advancements in AI!
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
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