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Full Time Ai Hardware Jobs (NOW HIRING)

Plaud

Hardware PM - San Francisco

San Francisco, CA · On-site

$130K - $173K/yr

Plaud is building the real-world AI interface for professionals to amplify intelligence, elevate ... matching for full-time employees. * Time Off & Workplace Benefits Unlimited PTO, plus 13 paid ...

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Hark

Hardware Test Engineer

San Jose, CA · On-site

$120K - $300K/yr

While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on ... Compensation The US base salary range for this full-time position is between $120,000 - $300,000 ...

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 ... for this full-time position is between $120,000 - $300,000 annually. The pay offered for this ...

Codvo.ai

$203K/yr

Strong experience with Edge AI hardware platforms (e.g., NVIDIA Jetson, Google Coral, Intel ... Employment Type: FULL_TIME

Sterling Engineering, Inc.

Be Seen First

Electronic Test Technician

Milpitas, CA · On-site

$30 - $32/hr

Electronics Test Technician (Computer Systems / AI Hardware) Location: Milpitas, CA (100% Onsite ... Job Type: Full-time | Contract-to-Hire | Permanent Overview: We are seeking a hands-on Test ...

SK hynix America

AI Memory Solution Architect

San Jose, CA · On-site

$73.75 - $97.25/hr

San Jose, CA Job Type: Full-Time Work Model: Onsite About SK hynix America At SK hynix America, w ... Perform AI hardware/software system analysis to develop next-generation AI memory and storage ...

Falcomm

AI/CAD Software Engineer

Atlanta, GA

We are seeking a full-time AI/CAD Software Engineer to join our team. You will lead the development ... hardware. Responsibilities: * End-to-End ML Pipeline Development: Architect and maintain robust ...

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Full Time Ai Hardware information

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$51K

$146.2K

$196.5K

How much do full time ai hardware jobs pay per year?

As of Aug 7, 2026, the average yearly pay for full time 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 a full time AI hardware job?

Full Time AI Hardware jobs involve working on the design, development, testing, and optimization of hardware systems specifically tailored for artificial intelligence applications. These roles typically focus on components like AI accelerators, GPUs, FPGAs, and custom chips that enhance machine learning and deep learning performance. Professionals in this field collaborate with software engineers to ensure seamless integration of hardware and software, and they often work in industries such as technology, automotive, and robotics. A full-time position usually means a standard workweek with benefits, providing stability and opportunities for growth in the rapidly evolving AI sector.

What is the difference between Full Time Ai Hardware vs Full Time Ai Software Developer?

AspectFull Time Ai HardwareFull Time Ai Software Developer
Required CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related fields; experience with hardware designBachelor's in Computer Science, Software Engineering, or related fields; programming skills
Work EnvironmentHardware labs, manufacturing facilities, R&D centersOffice settings, software development environments, cloud platforms
Industry UsageDesigning AI chips, embedded systems, hardware accelerationDeveloping AI algorithms, applications, and software tools

Full Time Ai Hardware roles focus on designing and testing physical AI components, requiring hardware expertise and lab work. In contrast, Full Time Ai Software Developers work on creating AI algorithms and applications primarily through coding and software platforms. Both roles are essential in AI development but differ in skills, environment, and daily tasks.

What are the key skills and qualifications needed to thrive as a full time AI hardware engineer?

To thrive as a Full Time AI Hardware Engineer, you need a solid background in electrical engineering, computer architecture, and experience with hardware design, often supported by a relevant degree. Familiarity with hardware description languages (HDLs) like Verilog or VHDL, simulation tools, and industry certifications such as FPGA or ASIC design are typically required. Strong problem-solving abilities, teamwork, and effective communication help professionals excel in collaborative and fast-paced environments. These skills are crucial to ensure the development of reliable, high-performance AI hardware solutions that meet complex technical demands.

What are the typical collaboration dynamics for a full time AI hardware engineer within a multidisciplinary team?

AI Hardware engineers regularly collaborate with software developers, data scientists, and product managers to design and optimize hardware solutions tailored for AI workloads. On a daily basis, you may participate in cross-functional meetings to align on project requirements, troubleshoot integration issues, and ensure that hardware prototypes meet the performance needs of AI algorithms. This collaborative environment fosters knowledge-sharing and provides opportunities to influence both hardware and software aspects of AI systems, making strong communication and teamwork skills essential for success.
What cities are hiring for Full Time Ai Hardware jobs? Cities with the most Full Time Ai Hardware job openings:
What are the most commonly searched types of Ai Hardware jobs? The most popular types of Ai Hardware jobs are:
What states have the most Full Time Ai Hardware jobs? States with the most job openings for Full Time Ai Hardware jobs include:
Full Time Ai Hardware jobs near you
Infographic showing various Full Time Ai Hardware job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% 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.

Staff Product Manager - Chiplet Hardware (Austin)

Skilltorch

Austin, TX • On-site

$200K - $250K/yr

Full-time

Re-posted 5 days ago

Job description

Staff Product Maager
Santa Clara, CA; Austin, TX; Toronto, CA;
Full-time

Hybrid

$200,000 - $250,000 base salary + bonus + equity

A trailblazing AI technology company, leading the development of next-generation RISC-V CPUs and AI hardware platforms, is seeking a Staff Product Manager to lead the definition and lifecycle of chiplet-based products. This role is a unique opportunity to shape innovative AI systems from the ground up, translating deep technical insights into actionable product strategy across packaging, interconnect, and compute architecture.

This position is based out of Santa Clara, Austin, or Toronto, with a hybrid setup and flexibility within North America.

Key Responsibilities:

  • Own the product strategy and roadmap for chiplet-based AI hardware from early-stage concept through launch.

  • Collaborate closely with engineering to define and prioritize technical requirements across chiplet design, interconnects, and advanced packaging.

  • Conduct competitive analysis, market research, and customer discovery—including building hypothetical customer profiles where real data is limited—to guide product direction.

  • Translate complex technical concepts into clear, compelling product requirements that align with performance, scalability, and cost targets.

  • Work hands-on with engineering teams to ensure products meet specifications for power, performance, and manufacturability.

  • Drive early-stage exploration and research to shape 0-to-1 products in a rapidly evolving AI landscape.

  • Partner with manufacturing, go-to-market, and leadership teams to guide product through the full development lifecycle.

  • Present strategy, trade-offs, and progress to stakeholders at all levels, from technical teams to executives.

Qualifications:

  • Bachelor’s degree in Electrical Engineering, Computer Engineering, or a closely related field.

  • 2+ years of experience in product management or technical roles in hardware development, with exposure to semiconductors, AI accelerators, or advanced packaging.

  • Strong analytical skills and a research-driven mindset, with the ability to work in ambiguity and build structure from scratch.

  • Comfort working on 0-to-1 products where customer demand may not yet exist—ability to define product needs proactively.

  • Effective communicator with the ability to collaborate across cross-functional teams including hardware, software, and executive stakeholders.

  • Understanding of semiconductor fundamentals, chiplet architectures, and interconnect protocols such as UCIe or PCIe.

  • Experience in AI, RISC-V, or open hardware ecosystems is a plus.

  • Previous hands-on engineering experience (AI, hardware, or embedded systems) highly desirable.

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