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Hardware Accelerator Research Jobs (NOW HIRING)

PDT Partners

Research Engineer

New York, NY · Hybrid

$190K - $250K/yr

Incorporate advancements in machine learning, hardware accelerators and high-performance computing to optimize research workflows. * Maintain,develop, and re-imaginethe ...

PDT Partners

Research Engineer

New York, NY · On-site

$190K - $250K/yr

Incorporate advancements in machine learning, hardware accelerators and high-performance computing to optimize research workflows. * Maintain, develop, and re-imagine the extensive internal research ...

Fermilab

Control System Hardware Engineer

Batavia, IL · On-site

$99K - $130K/yr

What your day-to-day as a Control System Hardware Engineer at Fermilab will look like: * Analyze ... Fermilab is America's premier laboratory for particle physics and accelerator research, funded by ...

Fermilab

Control System Hardware Engineer

Batavia, NY

$99K - $130K/yr

What your day-to-day as a Control System Hardware Engineer at Fermilab will look like: * Analyze ... Fermilab is America's premier laboratory for particle physics and accelerator research, funded by ...

Normal Computing

Silicon Architect

New York, NY · On-site

$234K - $298K/yr

Translate workload analysis and research findings into hardware specifications. Identify where ... Stay current with the AI accelerator research landscape and be able to articulate clearly where ...

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Hardware Accelerator Research information

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How much do hardware accelerator research jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for hardware accelerator research in the United States is $24.59, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $27.88 per hour, depending on experience, location, and employer.

What is the difference between Hardware Accelerator Research vs Hardware Design Engineer?

AspectHardware Accelerator ResearchHardware Design Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Engineering, or related fields; knowledge of hardware architectureBachelor's or Master's in Electrical Engineering, Computer Engineering, or related fields; proficiency in hardware design tools
Work EnvironmentResearch labs, R&D departments, academic settingsDesign teams, manufacturing facilities, corporate R&D divisions
Employer & Industry UsageTech companies, research institutions, semiconductor firmsElectronics companies, hardware manufacturers, tech firms
Common Search & Comparison IntentUnderstanding research roles in hardware accelerationDesigning and developing hardware components

Hardware Accelerator Research focuses on exploring new hardware architectures and optimizing hardware acceleration techniques, often within research or academic settings. In contrast, Hardware Design Engineers develop and implement hardware components for commercial products. Both roles require similar educational backgrounds but differ in their focus—research versus practical design and deployment.

Infographic showing various Hardware Accelerator Research job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, and 97% Full Time. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $51,154 per year, or $24.6 per hour.
Senior Research Scientist, AI Accelerator Design and VLSI

Senior Research Scientist, AI Accelerator Design and VLSI

Nvidia

Santa Clara, CA

$115K - $147K/yr

Full-time

Posted 27 days ago

Job description

We are now looking for a Senior Research Scientist!

NVIDIA is seeking aSenior Research Scientistto drive groundbreaking research at the intersection ofAI HW/SW Co-Design, AI Hardware Accelerator Architecture, IC Design Methodology, and VLSI Design. Ideal candidates will have a broad perspective across areas including machine learning fundamentals, quantization and numerical methods for machine learning model optimization, digital VLSI circuits for computer arithmetic, high-productivity VLSI design and verification methodologies including applications of generative AI to hardware design, AI hardware micro-architecture, and VLSI methodology and implementation.

What you'll be doing:

  • AI Accelerator Hardware: Contribute to novel research advancing the state-of-the-art in AI accelerator design.

  • VLSI: Research creative and innovative ASIC and VLSI design techniques and/or novel digital VLSI circuits. Apply machine learning, generative AI, and state-of-the-art tools and methodologies to automated ASIC and VLSI design tool flows.

  • AI HW/SW Co-Design: Research and develop creative and innovative numerical methods for quantization, sparsity, or tensor decomposition grounded in computer arithmetic fundamentals and digital VLSI circuits.

  • Collaborate on the development of research prototype testchips.

  • Collaborate with AI researchers and hardware team members in research and product teams.

  • Publish and present your original research, speak at conferences and events

What we need to see:

  • PhD in Computer Science, Electrical/Computer Engineering, or related field (or equivalent experience), with3+ years of post-PhD research experienceand a strong record of impactful publications in top circuit, architecture, EDA, or AI/ML venues; with a proven ability to set research direction and translate ideas into tools or products.

  • Domain & Technical Expertise: Deep knowledge and 3+ years of post-PhD research experience in either VLSI (e.g., digital VLSI circuits and chip design methodologies), computer architecture, and/or numerical algorithms for AI model HW/SW co-design.

  • VLSI Implementation Skills: 5+ years of experience in hardware design with proficiency with modern EDA tool flows.

  • Programming & Systems Skills:5+ years of experiencein software tool development with proficiency in at least two of Python/PyTorch, C++, SystemVerilog, or CUDA.

  • Leadership & Collaboration:experience in leading research projects or teams, with a track record of mentoring junior scientists or interns, driving cross-functional initiatives with circuits/VLSI/architecture groups, and fostering collaborations with academia or industry.

  • Communication & Impact: Excellent written and verbal communication skills, with demonstrated experience presenting at top conferences; ability to influence both technical and non-technical audiences.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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