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Ai Hardware Engineer Jobs (NOW HIRING)

Why Flux Flux is taking the hard out of hardware, by developing the first AI Hardware Engineer. Our goal is to democratize the ability to create bleeding edge hardware, and revolutionize how ...

Applied AI Engineer, AI Hardware

Palo Alto, CA ยท On-site

$145.30K - $191.80K/yr

The Applied AI Engineer will design and develop AI-powered applications, automate EDA flows, and collaborate with cross-functional teams to enhance the hardware development lifecycle.

Hardware Engineer - PCB

Cambridge, MA ยท On-site

$135K - $178.20K/yr

AI Tycho.AI builds autonomy solutions for unmanned systems operating in GPS- and comms-denied ... About the Role We are seeking a Hardware Engineer with strong PCB design experience to help develop ...

The Engineer Who Makes Silicon Inevitable. Location: Austin, TX Team: Cross-functional leadership ... The Role As Principal AI Hardware Architect, you will own the most consequential technical contract ...

Electrical Hardware Engineer

Santa Clara, CA ยท On-site

$150K - $200K/yr

About us nEye.ai, a well-funded optical switch startup, is poised to revolutionize the future of ... Job Overview We are seeking an Electrical Hardware Engineer to join our hardware team and work ...

About us nEye.ai, a well-funded optical switch startup, is poised to revolutionize the future of ... Job Overview We are seeking an Electrical Hardware Engineer to join our hardware team and work ...

About us nEye.ai, a well-funded optical switch startup, is poised to revolutionize the future of ... Job Overview We are seeking an Electrical Hardware Engineer to join our hardware team and work ...

Software Engineer, AI Hardware Infrastructure

Palo Alto, CA ยท On-site

$203.60K - $241.30K/yr

Tesla is focused on advancing AI hardware initiatives and is seeking a Software Engineer to support these efforts. The role involves developing automation and infrastructure solutions, collaborating ...

Hardware Engineer

San Mateo, CA ยท On-site

$140.70K - $185.70K/yr

Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the ... About this Role As a Hardware Engineer on our hardware team, you will lead the design and ...

Hardware Engineer

Sunnyvale, CA

$144.90K - $191.30K/yr

The Role We are seeking an experienced Hardware Engineer to join our Hardware team and play a key ... Experience designing hardware for AI/ML workloads or high-performance computing systems

Head of Hardware

Palo Alto, CA

$145.20K - $191.60K/yr

We are seeking an experienced Head of Hardware to lead our hardware engineering efforts at an innovative AI startup revolutionizing chip design through machine learning. This pivotal leadership role ...

Senior Hardware Engineer

Saratoga, CA ยท On-site

$210K - $265K/yr

Today's AI performance is frequently limited by communication bottlenecks. Eridu delivers multiple ... Visit our website eridu.ai to learn mo Position Overview As a Hardware Engineer in our Systems ...

DevOps Engineer

San Francisco, CA ยท On-site

$62.25 - $85/hr

Why Flux Flux is taking the hard out of hardware, by developing the first AI Hardware Engineer. Our goal is to democratize the ability to create bleeding edge hardware, and revolutionize how ...

Hardware Engineer

Longmont, CO ยท On-site

$122.10K - $161.10K/yr

Performs design and development engineering assignments related to hardware products and systems ... AI-led ecosystems to accelerate innovation and business growth. With over 26 years of experience ...

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Ai Hardware Engineer information

See salary details

$51K

$146.2K

$196.5K

How much do ai hardware engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for ai hardware engineer 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 are the key skills and qualifications needed to thrive as an AI Hardware Engineer, and why are they important?

To thrive as an AI Hardware Engineer, you need strong foundations in computer engineering, digital logic design, and knowledge of machine learning algorithms, typically supported by a degree in electrical engineering or computer engineering. Familiarity with hardware description languages (such as Verilog or VHDL), FPGA/ASIC development tools, and experience with simulation and debugging systems are essential. Problem-solving abilities, attention to detail, and effective teamwork are standout soft skills for this role. These skills are crucial for creating efficient, reliable AI hardware solutions and collaborating across multidisciplinary teams to advance cutting-edge technologies.

How do AI Hardware Engineers typically collaborate with software and data teams during the development process?

AI Hardware Engineers work closely with software developers and data scientists to ensure that hardware architectures are optimized for specific AI workloads. Collaboration often involves regular meetings to discuss performance requirements, compatibility challenges, and customizations needed for machine learning models. By maintaining open communication channels, hardware engineers can adapt designs based on feedback from software and data teams, ensuring seamless integration and optimal system performance.

What are AI Hardware Engineers?

AI Hardware Engineers are professionals who design, develop, and optimize computer hardware systems specifically for artificial intelligence applications. Their work involves creating specialized processors, such as GPUs, TPUs, or custom chips, that accelerate machine learning tasks and handle large-scale data processing efficiently. They collaborate with software engineers to ensure hardware and AI models work seamlessly together, improving performance, power efficiency, and scalability of AI systems. AI Hardware Engineers play a crucial role in advancing technologies used in data centers, autonomous vehicles, robotics, and edge devices.

What is the difference between Ai Hardware Engineer vs AI Software Engineer?

AspectAi Hardware EngineerAI Software Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related fields; knowledge of hardware design and programmingBachelor's or higher in Computer Science, Software Engineering, or related; proficiency in programming languages and AI frameworks
Work EnvironmentDesigning, testing, and developing AI hardware components in labs or manufacturing settingsDeveloping AI algorithms and applications in software development environments
Employer & Industry UsageTech companies, hardware manufacturers, research labsSoftware firms, tech startups, AI research organizations

While both roles focus on AI, Ai Hardware Engineers specialize in creating the physical components that enable AI systems, whereas AI Software Engineers develop the algorithms and software that run on hardware platforms. Understanding these differences helps job seekers target the right roles based on their skills and interests.

More about Ai Hardware Engineer jobs
What cities are hiring for Ai Hardware Engineer jobs? Cities with the most Ai Hardware Engineer job openings:
What states have the most Ai Hardware Engineer jobs? States with the most job openings for Ai Hardware Engineer jobs include:
Head of Hardware Design

Head of Hardware Design

Flux

San Francisco, CA โ€ข On-site

Full-time

Posted 9 days ago


Job description

Why Flux

Flux is taking the hard out of hardware, by developing the first AI Hardware Engineer. Our goal is to democratize the ability to create bleeding edge hardware, and revolutionize how electronics are designed and built around the world.

The Role

Weโ€™re looking for an experienced electrical engineering leader who will own the hardware design practices and guiding principles of our platform. Youโ€™ll steer the evolution of our ECAD tool's core capabilities as well as the correctness of our AI Hardware Engineer's system knowledge and design approach. You'll actively partner with product leadership to shape and prioritize AI capability development, evaluation frameworks, and in developing scaled approaches to guide our community to successful PCB projects. In this role, you'll grow our existing Hardware Design function and team.

This is a highโ€‘impact, multidisciplinary role for someone who has experience building complex electronics that shipped at scale (e.g., smartphones, wearables, highโ€‘performance compute, networking, robotics) and loves translating realโ€‘world engineering constraints into powerful tools and AI behaviors.

What youโ€™ll do
  • Drive ECAD feature design & specs โ€“ Craft product requirements for core ECAD behaviors across placement/routing, constraints management, stackup, impedance control, DRC/DFM, manufacturing outputs, and prototyping workflows. Co-author specs, validate by running dogfooding initiatives, beta programs, and scaled user feedback.

  • Be the design partner to AI/ML โ€“ Teach the worldโ€™s first AI hardware engineer how to design successful products. Define best practices, guardrails, and evaluation harnesses; curate datasets; review AIโ€‘generated designs; create the AI expertise that will help more people build successful hardware on their first production run, without releasing the magic smoke.

  • Build out the Hardware Design function โ€“ Start as a handsโ€‘on manager with two existing reports. Over time, refine the team's core responsibilities, and build a larger team that produces reference designs, demos, product specs, training, and field feedback loops.

  • Develop real hardware โ€“ Lead quickโ€‘turn-around prototypes (from schematic to bringโ€‘up) that exercise product/AI capabilities. Instrument designs for SI/PI and power/thermal validation; close the loop with data.

  • Amplify user insight โ€“ Adopt ownership and improve upon current user experience signals, feedback loops, and channeling user input into our iterative product design. Strategically invest in deeper customer relationships. Champion the userโ€™s voice in crossโ€‘functional forums. Partner closely with our software engineering department in ensuring AI evaluations are reflective of real-world user requirements.

  • Product โ€“ Be the "voice of the customer" within the organization, addressing vision, strategy, research & discovery, prioritization and cross-functional leadership.

What youโ€™ll bring
  • Deep EE breadth + depth with real products in the field. Comfortable spanning:

    • RF & wireless: from subโ€‘GHz to mmWave; matching, filtering, antenna/feed layout.

    • EMI/EMC & ESD: designโ€‘forโ€‘compliance, grounding/return paths, shielding, filtering.

    • Power electronics: DCโ€‘DC (buck/boost), PMICs, PoE, motor/actuator control, power sequencing, efficiency/thermal tradeโ€‘offs.

    • Analog & mixedโ€‘signal: sensor interfaces, data converters, lowโ€‘noise design.

    • Highโ€‘speed digital: DDRx, PCIe/SerDes, USBโ€‘C/USB4, MIPI, Ethernet (1Gโ€“25G+); timing, skew, and equalization considerations.

    • SI/PI: signal/power integrity analysis, decoupling strategies, returnโ€‘path control.

  • PCB/stackup expertise: material selection and stackup definition, controlled impedance, differential pair tuning & lengthโ€‘matching, via strategies (blind/buried, microvia, backdrill), HDI (highโ€‘density interconnect), panelization, and build rules with fabs/EMS.

  • DFM/DFT & manufacturing: handsโ€‘on bringโ€‘up and debug, test coverage, fixture definition; tight collaboration with CMs/ODMs.

  • Tooling fluency: meaningful time in multiple ECADs (e.g., Altium, Cadence Allegro/OrCAD, Mentor Xpedition, KiCad, Zuken) and experience with simulation tools (SPICE, SI/PI such as ADS/HyperLynx/SIwave; 3D EM such as HFSS), plus lab instrumentation (oscilloscope, VNA, logic analyzer, power analyzer).

  • Product sense & communication: ability to turn messy user needs into simple workflows; excellent written specs, diagrams, and presentations; confident with senior leadership and deepโ€‘dive technical reviews.

  • Leadership at multiple altitudes: thrive as both a handsโ€‘on engineer and a manager; co-develop core ECAD product strategy. Hire, mentor, and scale processes while staying close to the work.

Preferred qualifications
  • Experience in a larger technical org (e.g., hardware product management or lead EE for critical subsystems at a worldโ€‘class company) with a track record of shipping at scale.

  • On the ground factory and test, mass production, and quality/yield optimization experience. Actively participating in builds and carrying key responsibilities to realize designs at scale.

  • Prior designโ€‘partner or customerโ€‘facing role (product management, applications, FAEs, field engineering, or crossโ€‘functional liaison) that turned feedback into product wins.

  • Handsโ€‘on across ECAD platforms; passion for great engineering tools and workflows.

  • Practical exposure to AI/ML (prompting/evaluation, data curation/labeling, or integrating MLโ€‘assisted design tools).


Benefits & package

Competitive salary and meaningful equity, plus comprehensive benefits. Title/level will match experience and impact.


How to apply

Send a your resume, a quick cover letter, and any links to public designs or talks.
Email: hiring@flux.ai
Subject: Head of Hardware Design โ€“ Your Name