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Full Time Ai Hardware Jobs (NOW HIRING)

Falcomm

AI/CAD Software Engineer

Atlanta, GA · On-site

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 ...

Hark

AI Safety Engineer

San Jose, CA · On-site

$150K - $300K/yr

We're pairing that intelligence with next-generation hardware to create a universal interface ... Compensation The US base salary range for this full-time position is between $150,000 - $300,000 ...

Falcomm

AI/CAD Software Engineer

Atlanta, GA · On-site

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 ...

RoboForce

AI Data Operations Lead

Milpitas, CA · On-site

$145K - $205K/yr

... across AI, Hardware, Robotics Software, and Operations. * Recruit, develop, and retain a 20-50 ... this full-time U.S. position. Final compensation will be determined based on role scope, level ...

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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.

AI/CAD Software Engineer

Falcomm

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago

Job description

Are you passionate about applying machine learning to transform the future of RF hardware? At Falcomm, we are revolutionizing wireless communications by integrating AI-driven solutions into the design of our energy-efficient Power Amplifier (PA) products. We are seeking a full-time AI/CAD Software Engineer to join our team. You will lead the development of intelligent tools that enhance RF workflows, automate complex EM simulations, and accelerate the tape-out of high-performance PAs. This role sits at the intersection of software engineering, machine learning, and RF physics, perfect for a developer who wants to get close to the hardware.
Responsibilities:
  • End-to-End ML Pipeline Development: Architect and maintain robust code for training and serving ML models that predict and optimize RF performance metrics.
  • PA Design Automation: Automate the creation and management of large-scale datasets derived from PA load-pull and electromagnetic (EM) simulations.
  • Tool Integration: Seamlessly integrate ML inference engines into existing RF EDA infrastructure to provide real-time feedback to PA designers.
  • Software Engineering Excellence: Establish best practices including comprehensive testing, CI/CD pipelines, and code reviews within an agile hardware team.
  • Cross-Functional Collaboration: Partner closely with RF/PA architects to translate complex impedance matching and linearity requirements into deployable software solutions.

Requirements
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
  • 2+ years of professional experience in software engineering or machine learning.
  • Proficiency in Python: Advanced scripting, object-oriented programming, and automation skills.
  • ML Framework Expertise: Experience building models using PyTorch, TensorFlow, or scikit-learn.
  • Data Engineering: Strong grasp of data processing libraries (pandas, numpy, scipy) and file I/O operations.
  • Software Fundamentals: Solid understanding of algorithms, data structures, and version control (Git).
  • RF Domain Knowledge: RF front-end architectures, or a strong understanding of RF metrics (PAE, Gain, ACLR, EVM).
Preferred Skills (The "RF/PA Plus")
  • RF PA Domain Knowledge: Experience with Power Amplifier design and an understanding of RF PA metrics.
  • RF/EM Simulation Tools: Hands-on experience with Cadence Virtuoso, Ansys HFSS, or Keysight ADS.
  • Open Source Innovation: Experience utilizing or contributing to open-source RF/EDA alternatives (e.g., gdsfactory, KLayout, Qucs, openEMS).
  • Simulation Scripting: Familiarity with automating RF simulations via SKILL, AEL, or Python APIs.
  • Physics-Informed ML: Interest or experience in applying ML to physics-based problems or electromagnetic modeling.

Benefits
  • Competitive Salary and Equity Package
  • Comprehensive Health, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Paid Time Off (PTO) and Sick Leave

DISCLOSURE
  • Falcomm is an Equal Opportunity Employer; employment with Falcomm is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
  • Applicants wishing to view a copy of Falcomm's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should notify Falcomm.
  • To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

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