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Ai Hardware Jobs (NOW HIRING)

Ekcel Technologies Inc

AI HARDWARE ENGINEER

Santa Clara, CA · On-site

$143K - $189K/yr

Ai Hardware Design Engineer Location: Santa Clara, CA Mode of Work: 5 days Onsite Required Skills & Qualifications * Education: Master s or Ph.D. in Computer Science, Computational/Electrical ...

Meta

Hardware Systems Engineer, NPI AI

Menlo Park, CA

$144K/yr

Hardware Systems Engineer, NPI AI Responsibilities: * Lead end-to-end system validation strategies for AI and HPC hardware platforms, including AI accelerators, GPU clusters, and high-bandwidth ...

Tenstorrent

System Hardware Technician

Austin, TX · On-site

With AI redefining the computing paradigm, solutions must evolve to unify innovations in software ... This role sits at the center of cutting-edge AI hardware development, keeping the servers, PCIe ...

Flux

Head of Hardware Design

San Francisco, CA · On-site

To do this, we're building the world's first AI hardware engineer. Founded in 2019, our platform enables anyone to go from idea to manufacturable board using nothing more than a natural language ...

Meta

Hardware Systems Engineer, NPI AI

Menlo Park, CA · On-site

$144K - $204K/yr

Meta is seeking a Hardware Systems Engineer to support the new product introduction (NPI) of next-generation AI and high-performance computing infrastructure for large-scale data center deployments.

Tesla

Space Radiation Engineer, AI Hardware

Palo Alto, CA · On-site

$160K - $414K/yr

AI Hardware Hardening:Develop shielding and mitigation strategies for cutting-edge AI accelerators to ensure Total Ionizing Dose (TID), Displacement Damage Dose (DDD), and Single Event Effect (SEE ...

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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 Jul 12, 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 job?

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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or executive role, often requiring advanced skills, extensive experience, and sometimes specialized certifications. These roles usually involve leadership, strategic planning, and cutting-edge development in AI technologies, with compensation reflecting the level of expertise and responsibility.

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.

Will AI replace computer hardware jobs?

AI hardware jobs involve designing and maintaining physical components like chips and servers that support AI systems. While AI automation can streamline some tasks, hardware roles require hands-on skills, troubleshooting, and physical work that are less likely to be fully replaced by AI in the near term.

Which AI job is high paying?

AI research scientist and AI solutions architect are among the highest-paying roles in AI hardware, often requiring advanced degrees and expertise in machine learning, deep learning, and hardware integration. These positions typically offer high salaries due to their specialized skills and impact on technology development.
More about Ai Hardware jobs
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Ai Hardware jobs near you
Infographic showing various Ai Hardware job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $146,230 per year, or $70.3 per hour.

AI HARDWARE ENGINEER

Ekcel Technologies Inc

Santa Clara, CA • On-site

$143K - $189K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Role: Ai Hardware Design Engineer

Location: Santa Clara, CA

Mode of Work: 5 days Onsite

Required Skills & Qualifications

  • Education: Master s or Ph.D. in Computer Science, Computational/Electrical Engineering, AI/ML, or related field.
  • Technical Expertise:
    • Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow).
    • Experience with generative AI (LLMs, diffusion models, graph-based models).
    • Knowledge of computational materials methods (DFT, MD, phase-field modeling).
  • Additional Skills:
    • Familiarity with MLOps, HPC environments, and cloud deployment.
    • Proven experience (code repos, publications) bridging simulation software, hardware design, and ML.

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