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Ai Hardware Engineer Jobs in Texas (NOW HIRING)

us Graphcore

Staff Hardware Engineer

Austin, TX · On-site

$122K - $161K/yr

It is developing hardware, software and systems infrastructure that will unlock the next generation ... A melting pot of AI research specialists, silicon designers, software engineers and systems ...

Graphcore

Staff Hardware Engineer

Austin, TX · On-site

$122K - $161K/yr

It is developing hardware, software and systems infrastructure that will unlock the next generation ... A melting pot of AI research specialists, silicon designers, software engineers and systems ...

Tenstorrent

System Hardware Technician

Austin, TX · On-site

This role sits at the center of cutting-edge AI hardware development, keeping the servers, PCIe systems, and engineering infrastructure running that power next-generation compute. You'll be hands-on ...

Nvidia

AI Hardware Architect

Austin, TX

NVIDIA is hiring an AI Hardware Architect to analyze and architect the next generation of ... Guide customers and firmware engineers to extract the most performance from microarchitectural ...

CloudFlare

Network Hardware Engineer

Austin, TX · On-site

$150 - $200/hr

Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow ... Austin, TX Job Title Network Hardware Engineer Role Summary As a pivotal technical contributor ...

Nvidia

AI Hardware Architect

Austin, TX

NVIDIA is hiring an AI Hardware Architect to analyze andarchitectthe next generation of Artificial ... Guide customers and firmware engineers to extract the most performance from microarchitectural ...

Nutanix

Staff Hardware Design Engineer, SoC/SIP

Austin, TX · On-site

$150 - $200/hr

The Qualcomm Data Center AI Hardware Engineering team designs and develops motherboards/add in cards/modules for Qualcomm new AI System On Chip (SoC)/System In Package (SIP). Primary responsibilities ...

Graphcore

Staff Hardware Engineer

Austin, TX · On-site

It is developing hardware, software and systems infrastructure that will unlock the next generation ... A melting pot of AI research specialists, silicon designers, software engineers and systems ...

Graphcore

Staff Hardware Engineer

Austin, TX · On-site

It is developing hardware, software and systems infrastructure that will unlock the next generation ... A melting pot of AI research specialists, silicon designers, software engineers and systems ...

Graphcore

Graduate Hardware Engineer

Austin, TX · On-site

$122K - $161K/yr

Our new AI Engineering Campus in Austin will play a central role in building the future of AI ... hardware. You will work alongside experienced engineers and cross-functional partners while ...

NorthMark Strategies

Senior HPC Hardware Engineer

Dallas, TX · On-site

$109K - $145K/yr

THE POSITION NMC² is seeking a Senior HPC Hardware Engineer to join the Compute Engineering team ... Own the full firmware and BIOS lifecycle across the HPC/AI fleet - from establishing baselines and ...

NMC2

Senior HPC Hardware Engineer

Dallas, TX · On-site

$150 - $200/hr

THE POSITION NMC² is seeking a Senior HPC Hardware Engineer to join the Compute Engineering team ... Own the full firmware and BIOS lifecycle across the HPC/AI fleet -- from establishing baselines and ...

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All JobsAi Hardware Engineer JobsAi Hardware Engineer Jobs in Texas

Ai Hardware Engineer information

See Texas salary details

$47.5K

$136.2K

$183.1K

How much do ai hardware engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for ai hardware engineer in Texas is $136,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,100.00 and $151,900.00 per year, depending on experience, location, and employer.

What is an AI hardware engineer?

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.

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 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.

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.

What is the salary of AI hardware engineer?

The salary of an AI hardware engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in FPGA, ASIC design, or deep learning hardware may earn higher compensation. Many positions also require knowledge of hardware description languages and experience with AI accelerators.

What are popular job titles related to Ai Hardware Engineer jobs in Texas?

For Ai Hardware Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Ai Hardware Engineer jobs in Texas look for?

The top searched job categories for Ai Hardware Engineer jobs in Texas are:

What cities in Texas are hiring for Ai Hardware Engineer jobs?

Cities in Texas with the most Ai Hardware Engineer job openings:

Ai Hardware Engineer jobs near you
Infographic showing various Ai Hardware Engineer job openings in Texas as of August 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $136,236 per year, or $65.5 per hour.

Staff Hardware Engineer

us Graphcore

Austin, TX • On-site

$122K - $161K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

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

Key responsibilities

  • Lead advanced break-fix troubleshooting for server blades, motherboards, power systems, and rack-scale infrastructure.

  • Support engineering bring-up activities, including component validation and firmware interaction testing.

  • Diagnose system-level failures involving thermal behavior, power anomalies, network configuration, and BIOS/BMC issues.

Job description

About us

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.

Job Summary

We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments.

This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems.

The Team

The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms.

The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems.

This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

Responsibilities and Duties

  • Lead advanced break-fix troubleshooting for server blades, motherboards, power systems, and rack-scale infrastructure.
  • Support engineering bring-up activities, including component validation and firmware interaction testing.
  • Diagnose system-level failures involving thermal behavior, power anomalies, network configuration, and BIOS/BMC issues.
  • Collaborate with server engineering teams to perform root cause analysis and propose corrective actions or design improvements.
  • Support deployment and rollout of next-generation hardware platforms through structured validation and qualification cycles.
  • Interface with facilities and infrastructure teams to understand environmental factors impacting system reliability.
  • Develop and maintain standard operating procedures (SOPs), troubleshooting guides, and validation documentation.
  • Provide guidance and mentorship to junior technicians and engineers on troubleshooting methodologies and hardware diagnostics.
  • Participate in on-call rotations or off-hours support during critical engineering milestones or hardware bring-up phases.

Candidate Profile
Essential

  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related discipline.
  • 10 years experience with server hardware architectures and board-level debugging.
  • Experience analyzing system logs, hardware telemetry, and power/thermal metrics to isolate hardware failures.
  • Hands-on experience with HPC systems, AI compute platforms, or rack-scale infrastructure.
  • Strong collaboration skills and ability to work effectively in fast-paced engineering environments.
  • Excellent written and verbal communication skills.

Desirable

  • Experience supporting prototype or pre-production hardware bring-up.
  • Familiarity with data center facilities, including liquid cooling and power distribution systems.
  • Experience using Python, Bash, or automation tools for hardware validation or troubleshooting.
  • Exposure to structured failure analysis and reliability engineering methodologies.

USA Benefits

In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future. Our benefits include medical, dental and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services and an Employee Assistance Programme (EAP). We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

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