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Ai Accelerator Jobs (NOW HIRING)

Matx

AI Accelerator Silicon Architect

Mountain View, CA · On-site

$175K - $450K/yr

MatX is seeking an AI Accelerator Compute Architect to help define the compute architecture for our next-generation GenAI accelerators. What You'll Do * Define the architecture for MatX's AI compute ...

NVIDIA

NCX Engineer, AI Accelerator

Seattle, WA · On-site

NVIDIA is seeking an NCX Engineer, AI Accelerator to join their AI Accelerator team, collaborating closely with strategic customers to implement and enhance groundbreaking AI workloads. The role ...

MatX

AI Accelerator Silicon Architect

Mountain View, CA · On-site +1

$175K - $450K/yr

MatX is seeking an AI Accelerator Compute Architect to help define the compute architecture for our next-generation GenAI accelerators. What You'll Do * Define the architecture for MatX's AI compute ...

Nvidia

NCX Engineer, AI Accelerator

Seattle, WA · On-site

NVIDIA is seeking an NCX Engineer, AI Accelerator to join our AI Accelerator team, collaborating closely with strategic customers to implement and enhance groundbreaking AI workloads! You will ...

MatX

AI Accelerator Silicon Architect

Mountain View, CA · On-site

$175K - $450K/yr

MatX is seeking an AI Accelerator Compute Architect to help define the compute architecture for our next-generation GenAI accelerators. What You'll Do * Define the architecture for MatX's AI compute ...

Nvidia

NCX Engineer, AI Accelerator

Santa Clara, CA

NVIDIA is seeking an NCX Engineer, AI Accelerator to join our AI Accelerator team, collaborating closely with strategic customers to implement and enhance groundbreaking AI workloads! You will ...

MatX

AI Accelerator Silicon Architect

Mountain View, CA · On-site

$175K - $450K/yr

AI Accelerator Silicon Architect Mountain View, CA MatX designs hardware tailored for the world's best AI models. Our hardware will make a given level of intelligence available 3-5 years sooner. We ...

Google

AI Accelerator Reliability Uber Tech Lead

Sunnyvale, CA · On-site

$120K - $151K/yr

Familiarity with AI/ML accelerator architectures and workloads. * Deep understanding of silicon, packaging, PCB, power, and thermal reliability failure mechanisms and mitigation techniques. About the ...

Bristol-Myers Squibb Company

Senior AI Engineer

Brisbane, CA · On-site

$125K - $172K/yr

AI Accelerator Patterns, Templates & Components: * Design, build, and maintain shared GenAI architectures, templates, and reusable components used across AI Accelerator pods. * Contribute to and ...

Bristol Myers Squibb

Senior AI Engineer

Princeton, NJ · On-site

$109K - $150K/yr

AI Accelerator Patterns, Templates & Components: * Design, build, and maintain shared GenAI architectures, templates, and reusable components used across AI Accelerator pods. * Contribute to and ...

Bristol Myers Squibb

Senior AI Engineer

Brisbane, CA · On-site

$125K - $172K/yr

AI Accelerator Patterns, Templates & Components: * Design, build, and maintain shared GenAI architectures, templates, and reusable components used across AI Accelerator pods. * Contribute to and ...

Bristol Myers Squibb

Senior AI Engineer

Seattle, WA

$118K - $163K/yr

AI Accelerator Patterns, Templates & Components: * Design, build, and maintain shared GenAI architectures, templates, and reusable components used across AI Accelerator pods. * Contribute to and ...

Oracle

AI Accelerator Program Manager

Nashville, TN

The AI Accelerator Program Manager helps Business Operations teams adopt AI by turning manual, file-based, or prototype workflows into trusted, repeatable AI-assisted processes. This role combines ...

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Ai Accelerator information

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$52.8K

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How much do ai accelerator jobs pay per year?

As of Jun 29, 2026, the average yearly pay for ai accelerator in the United States is $52,811.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $59,000.00 per year, depending on experience, location, and employer.

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.

What is the highest paid AI job?

The highest paid AI jobs typically include AI research directors, machine learning engineers, and AI solutions architects, with salaries often exceeding $150,000 annually. These roles require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, often combined with advanced degrees and leadership responsibilities.

Which 3 jobs will survive AI?

AI accelerators typically focus on roles that require complex problem-solving, creativity, and emotional intelligence, such as healthcare professionals, software developers, and skilled tradespeople. These jobs involve tasks that are difficult to automate fully and often require human judgment, adaptability, and interpersonal skills. Continuous learning and technical proficiency can enhance job security in these fields as AI advances.

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 are AI Accelerators?

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 does an AI accelerator do?

An AI accelerator is a professional who develops and optimizes hardware or software solutions to improve the performance of artificial intelligence models. They often work with machine learning frameworks, programming languages like Python, and specialized hardware such as GPUs or TPUs to enhance AI processing speed and efficiency.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. These roles are usually found in large tech companies or specialized AI firms and may include bonuses, stock options, or other incentives that contribute to the total compensation.
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What cities are hiring for Ai Accelerator jobs? Cities with the most Ai Accelerator job openings:
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Ai Accelerator jobs near you
Infographic showing various Ai Accelerator job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $52,811 per year, or $25.4 per hour.

AI Accelerator Silicon Architect

Matx

Mountain View, CA • On-site

$175K - $450K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

What MatX Is Building
MatX designs hardware tailored for the world's best AI models. Our hardware will make a given level of intelligence available 3-5 years sooner. We are developing vertically integrated full-stack solutions from silicon to systems including hardware and software to train and run the world's largest models. MatX is seeking an Architect to join our team as we create best-in-class silicon for high-performance and sustainable GenAI. The successful candidate for this role will be responsible for delivering performant silicon architecture at the full-chip or subsystem level.
MatX is seeking an AI Accelerator Compute Architect to help define the compute architecture for our next-generation GenAI accelerators.
What You'll Do
  • Define the architecture for MatX's AI compute subsystem, including ISA, connectivity, memories, and control..
  • Derive architectural requirements from AI use cases.
  • Conduct analytical and empirical performance analysis.
  • Collaborate closely with Research, SW, and HW teams to ensure we architect just-right silicon for workloads, programmability, and PPA.
  • Work through power, area, performance tradeoffs with stakeholders.
  • Support test plan reviews, first-silicon bring-up, and post-silicon debug.
Who You Are
  • Strong background in computer architecture, especially AI accelerators, GPUs, TPUs, vector processors, SIMD, VLIW, or other parallel compute architectures.
  • Experience translating workloads into hardware architecture.
  • Solid microarchitecture fundamentals.
  • First-principles understanding of latency, throughput, utilization, and scalability.
  • Familiarity with numeric formats, quantization, rounding, and precision/performance tradeoffs.
  • Programming, code optimization, or kernel-level performance analysis experience.
  • Excellent written and verbal communication skills.
  • Familiarity with performance-optimization techniques in large-scale transformer models is a plus.
Work Location
This is a hybrid role based in our Mountain View, CA office, with in-office work Tuesday through Thursday. In exceptional cases, remote work arrangements may be considered.
Compensation
The US base salary for this full-time position is determined based on a variety of factors including role, experience, location, job related skills, and relevant education and training. Career length is only a guideline for compensation.
  • Early Career - $120,000 - $275,000 + equity
  • Mid Career - $175,000 - $450,000 + equity
  • Senior Career - $275,000 - $600,000 + equity
What We Offer
  • A Stake in our success A cash/equity mix that fits your needs and option to do early exercise
  • Health & Wellness Company subsidized Health, Dental, Vision, and Life insurance; Pre-tax Health Savings Accounts with generous company contribution (even if you don't)
  • Time To Recharge 4 weeks paid time off (accrued), 12 company holidays, and 3 weeks remote/flexible work per year
  • Support to Parents Up to 12 weeks of paid parental leave, regardless of your path to parenthood
  • Learning & Development $1,500 yearly towards your professional development e.g. conferences, courses, and other learning opportunities
  • Team Connection Team Lunches, quarterly off-sites, and regular town halls
  • Financial Wellbeing 401K and/or Roth IRA, with 5% company contribution, even if you don't!
  • Flexible Spending Accounts Pre-tax spend accounts for medical, dental/vision, dependent care, parking, and transit expenses
  • Commute On Us For those commuting up to 1 hour, put your rideshare cost on our company card and reclaim the drive-time to get work done!
  • MatX E[x]tras $50 per month to use on the perks you care about most
  • Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi expense reimbursement

As part of our dedication to the diversity of our team and our focus on creating an inviting and inclusive work experience, MatX is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, gender, gender identity, gender expression, sexual orientation, age, physical or mental disability, medical condition, marital/domestic partner status, military and veteran status, genetic information or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances.
All candidates must be authorized to work in the United States and work from our offices in Mountain View Tuesdays-Thursdays.
This position requires access to information that is subject to U.S. export controls. This offer of employment is contingent upon the applicants capacity to perform job functions in compliance with U.S. export control laws without obtaining a license from U.S. export control authorities.
MatX does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or People team and any resumes submitted are deemed to be the property of MatX.

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