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Ai Hardware Jobs (NOW HIRING)

SAIC

AI Engineer Associate

Upper Marlboro, MD · On-site

$80K - $120K/yr

Stay current with the rapidly evolving AI hardware and software landscape, identifying and recommending improvements to tooling, infrastructure, and deployment practices. * Collaborate frequently ...

Hark

Hardware Test Engineer

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 ...

Hark

Global Supply Chain Manager

San Jose, CA · On-site

$120K - $300K/yr

To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the ...

Tenstorrent

Performance Architect, AI HW

$170K/yr

Responsibilities : • Benchmark and analyze complex AI workloads across single and multi-node hardware configurations to guide next-gen architecture. • Develop and maintain performance models ...

Hark

Global Supply Chain Manager

San Jose, CA · On-site

$120K - $300K/yr

To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the ...

Tenstorrent

Sr. Engineer, Software - AI Compiler

Austin, TX · On-site

$100K - $500K/yr

You will be at the forefront of the AI hardware revolution, building compiler technologies that redefine what's possible. This role is hybrid, and can be based out of Santa Clara, CA; Austin, TX; or ...

Codvo.ai

$203K/yr

Strong experience with Edge AI hardware platforms (e.g., NVIDIA Jetson, Google Coral, Intel Movidius). Strong experience in CUDA, C++ writing drivers with contract manufactured Edge AI devices with ...

Eridu AI

Senior Power Engineer

Saratoga, CA · On-site

$210K - $265K/yr

About Eridu Eridu is a Silicon Valley-based hardware startup pioneering infrastructure solutions that accelerate AI data centers to deliver Faster AI. Today's AI performance is frequently limited by ...

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$51K

$146.2K

$196.5K

How much do ai hardware jobs pay per year?

As of Jul 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 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
What cities are hiring for Ai Hardware jobs? Cities with the most Ai Hardware job openings:
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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 Engineer Associate

AI Engineer Associate

SAIC

Upper Marlboro, MD • On-site

$80K - $120K/yr

Full-time

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

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

69th of 210 rated it services

Job description

Job Description
Description
SAIC is seeking a machine learning engineer with hands-on experience deploying machine learning and artificial intelligence models. Experience with on-premises deployment of large language models (LLMs) is desired. The candidate will join the dynamic team at the Identity and Data Sciences Laboratory (IDSL). The IDSL is tasked with evaluating how new AI technologies can be best integrated into operational use-cases across the US government. We are investigating how AI systems can improve process efficiency and effectiveness as well as how to optimally team AI systems with human operators. Our engineers enjoy a great work-life balance and work in an environment that promotes learning and exploration.
The IDSL is based in Upper Marlboro, MD. Up to 20% travel is expected within the continental US. This is a hybrid position with 3 days per week expected in the office.
Responsibilities:
  • Deploy, configure, and maintain machine learning models and large language models (LLMs) on GPU-enabled on-premises servers and cloud infrastructure, ensuring high availability and reliability for all team stakeholders.
  • Design and implement secure, efficient data pipelines for AI systems within air-gapped and networked environments.
  • Develop and integrate agentic AI pipelines leveraging open-source LLMs and on-premises GPU hardware.
  • Contribute to in-person data collections at the Maryland Test Facility.
  • Stay current with the rapidly evolving AI hardware and software landscape, identifying and recommending improvements to tooling, infrastructure, and deployment practices.
  • Collaborate frequently with software, networking, data science, and cloud engineering teams to align AI infrastructure with existing laboratory infrastructure.
  • Work closely with the lead AI scientist to carry out these responsibilities.

Qualifications
Required:
  • BS in computer science, machine learning, computer vision, biometrics or a related field.
  • Strong programming skills in languages such as Python and version control systems such as Git.
  • Hands-on experience deploying and configuring LLMs, including an understanding of prompt engineering techniques.
  • Experience specifying and working with GPU hardware to meet the performance demands of AI workloads.
  • Experience with AI frameworks like TensorFlow or PyTorch.
  • Experience deploying and configuring LLMs and an understanding of prompt engineering.
  • Excellent analytical, communication, and problem-solving skills with the ability to work effectively across multidisciplinary teams.
Desired:
  • Familiarity with biometric and identity systems, including face, iris, or fingerprint recognition technologies.
  • Familiarity with RAG, Vector Stores, and Agentic AI.
  • Familiarity with cloud platforms such as AWS, including managed AI and compute services (e.g., Amazon Bedrock).
  • Exposure to secure or air-gapped deployment environments and associated data handling requirements.
  • Awareness of current and emerging AI hardware options and a demonstrated habit of tracking developments in the field.
  • Experience operating Agentic AI coding tools (e.g., Claude Code) in a safe, structured, and productive manner.

Target salary range: $80,001 - $120,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
Overview
SAIC accepts applications on an ongoing basis and there is no deadline.
SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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