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Ai Accelerator information

What is an AI accelerator?

AI Accelerators are specialized hardware or software systems designed to optimize and speed up artificial intelligence (AI) and machine learning (ML) workloads. They process complex computations required by AI algorithms more efficiently than general-purpose CPUs, enabling faster training and inference for deep learning models. Common examples of AI accelerators include GPUs, TPUs, FPGAs, and dedicated AI chips. These technologies are widely used in data centers, edge devices, and consumer electronics to support applications like image recognition, natural language processing, and autonomous vehicles.

What are the key skills and qualifications needed to thrive as an AI accelerator, and why are they important?

To thrive as an AI Accelerator, you need a deep understanding of machine learning algorithms, computer architecture, and parallel computing, often supported by a degree in computer science, electrical engineering, or a related field. Familiarity with hardware description languages (HDLs), CUDA, TensorFlow, and specific AI accelerator platforms is typically required. Strong problem-solving abilities, collaboration, and adaptability are essential soft skills for navigating complex projects and interdisciplinary teams. These skills and qualities are crucial for designing, optimizing, and deploying high-performance AI systems that meet real-world demands.

How does an AI accelerator typically collaborate with data scientists and engineering teams on AI projects?

AI Accelerators work closely with both data scientists and engineering teams to bridge the gap between model development and deployment. They often help optimize AI models for efficiency and scalability, ensuring they run effectively on various hardware platforms. Regular collaboration includes reviewing model architectures, suggesting improvements for speed and accuracy, and troubleshooting performance bottlenecks together. This cross-functional teamwork is essential for translating research breakthroughs into robust, real-world AI solutions.

What does an AI accelerator do?

An AI accelerator is a professional who develops and optimizes hardware and software solutions to improve the performance of artificial intelligence models. They often work with specialized hardware like GPUs or TPUs and use programming skills in frameworks such as TensorFlow or PyTorch to enhance AI processing speed and efficiency.

What are popular job titles related to Ai Accelerator jobs in California?

For Ai Accelerator jobs in California, the most frequently searched job titles are:

What job categories do people searching Ai Accelerator jobs in California look for?

The top searched job categories for Ai Accelerator jobs in California are:

What cities in California are hiring for Ai Accelerator jobs?

Cities in California with the most Ai Accelerator job openings:

Ai Accelerator jobs near you
Infographic showing various Ai Accelerator job openings in California as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Hardware Engineer, AI Accelerator Module Design

Meta

Menlo Park, CA

$118K/yr

Full-time

Re-posted 9 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 247 rated software companies

Job description

Meta is building the next generation of AI infrastructure, and the silicon that powers it is central to that mission. As a Hardware Engineer focused on accelerator design, you will contribute to the development of custom AI accelerators and high-performance compute hardware that underpin Meta's data center infrastructure at scale. In this role, you will work across digital design, power delivery, signal integrity, and board-level electrical engineering to bring accelerator systems from concept to production, directly enabling the AI workloads that power Meta's products and services.
Hardware Engineer, AI Accelerator Module Design Responsibilities:
  • Design and validate electrical systems for custom AI accelerator hardware, including PCB layout review, power delivery network analysis, and signal integrity assessment
  • Develop and execute hardware bring-up plans for accelerator boards and system-level platforms in data center environments
  • Collaborate with silicon, firmware, and thermal engineering teams to define electrical requirements and resolve cross-domain design constraints
  • Perform pre- and post-silicon electrical characterization, including power rail measurements, eye diagram analysis, and high-speed SerDes validation
  • Develop and maintain electrical schematics and design documentation for accelerator subsystems
  • Support design-for-manufacturability reviews and work with contract manufacturers to resolve electrical yield and reliability issues
  • Analyze failure modes and conduct root cause investigations for electrical faults identified during validation or field deployment
  • Contribute to the definition of electrical test strategies and automated test equipment setups for accelerator hardware qualification
  • Engage with component vendors and suppliers to evaluate and qualify power management ICs, connectors, and high-speed interconnects for accelerator platforms

Minimum Qualifications:
  • BS in Electrical Engineering, Computer Engineering, or a related technical discipline
  • 2+ years of experience in electrical or hardware engineering with a focus on high-performance compute, accelerator, or data center hardware design
  • 2+ years of experience with PCB schematic capture, layout review, and signal integrity analysis for high-speed digital interfaces (e.g., PCIe, DDR, HBM, or SerDes-based links)
  • 2+ years of experience with power delivery network design and analysis, including decoupling strategy, voltage regulator selection, and power integrity simulation
  • Experience with hardware bring-up, electrical characterization, and debugging using lab instrumentation such as oscilloscopes, network analyzers, and power analyzers

Preferred Qualifications:
  • Exposure to hardware reliability and qualification standards relevant to data center infrastructure (e.g., JEDEC, IPC)
  • Experience using simulation tools such as SPICE, HyperLynx, or Ansys SIwave for signal and power integrity analysis
  • Experience with custom ASIC or GPU accelerator board design, including co-design with silicon teams on package and board-level electrical interfaces
  • Familiarity with thermal-electrical co-design considerations for high-TDP accelerator systems in rack-scale data center deployments

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$118,000/year to $170,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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