Experience with Machine Learning (ML) hardware accelerators and ML inference software. Preferred qualifications: * PhD in Computer Engineering, Computer Science, or a related field. * 2 years of ...
Experience with Machine Learning (ML) hardware accelerators and ML inference software. Preferred qualifications: * PhD in Computer Engineering, Computer Science, or a related field. * 2 years of ...
Sr. GPU/Accelerator Hardware Development Engineer, Annapurna Labs
Austin, TX · On-site
$109K - $146K/yr
... server hardware development lifecycle from Concept, Architecture, Design, Validation and Production - Drive PCB board design for server motherboards, accelerator carrier boards, and high-speed ...
Sr. GPU/Accelerator Hardware Development Engineer, Annapurna Labs
Austin, TX · On-site
$109K - $146K/yr
... server hardware development lifecycle from Concept, Architecture, Design, Validation and Production - Drive PCB board design for server motherboards, accelerator carrier boards, and high-speed ...
Hardware/ Software Co-Design Engineer
Austin, TX · On-site
$151K - $261K/yr
Low-power general-purpose hardware accelerators * Low-power graphics processing units * Low-power radio MAC/PHY * Low-power serial link MAC/PHY * Design and optimization of hardware/software ...
Hardware/ Software Co-Design Engineer
Austin, TX · On-site
$151K - $261K/yr
Low-power general-purpose hardware accelerators * Low-power graphics processing units * Low-power radio MAC/PHY * Low-power serial link MAC/PHY * Design and optimization of hardware/software ...
Software Engineer, LLVM Compiler
Menlo Park, CA · On-site
$154K/yr
Apply compiler techniques (JIT compilation, dynamic code generation, optimization passes) to build high-performance simulation infrastructure for accelerator hardware * Develop and enhance compiler ...
New
Software Engineer, LLVM Compiler
Menlo Park, CA · On-site
$154K/yr
Apply compiler techniques (JIT compilation, dynamic code generation, optimization passes) to build high-performance simulation infrastructure for accelerator hardware * Develop and enhance compiler ...
New
Software Engineer, LLVM Compiler
Menlo Park, CA · On-site
$154K - $217K/yr
... hardware accelerator blocks. Responsibilities Design, implement, and optimize LLVM-based code generation targeting Meta's custom machine learning accelerators • Apply compiler techniques (JIT ...
New
Software Engineer, LLVM Compiler
Menlo Park, CA · On-site
$154K - $217K/yr
... hardware accelerator blocks. Responsibilities Design, implement, and optimize LLVM-based code generation targeting Meta's custom machine learning accelerators • Apply compiler techniques (JIT ...
New
Senior AI Performance Architect
Raleigh, NC · On-site
$162K/yr
Work with customers to determine hardware requirements for AI training systems * Analysis of current accelerator and GPU architectures * Architect enhancements required for efficient training of AI ...
Senior AI Performance Architect
Raleigh, NC · On-site
$162K/yr
Work with customers to determine hardware requirements for AI training systems * Analysis of current accelerator and GPU architectures * Architect enhancements required for efficient training of AI ...
Software Engineer, LLVM Compiler
New York, NY · On-site
$154K/yr
Apply compiler techniques (JIT compilation, dynamic code generation, optimization passes) to build high-performance simulation infrastructure for accelerator hardware * Develop and enhance compiler ...
New
Software Engineer, LLVM Compiler
New York, NY · On-site
$154K/yr
Apply compiler techniques (JIT compilation, dynamic code generation, optimization passes) to build high-performance simulation infrastructure for accelerator hardware * Develop and enhance compiler ...
New
Sr. GPU/Accelerator Hardware Development Engineer, Annapurna Labs
Austin, TX · On-site
$109K - $146K/yr
Would you like to develop the Next Generation of AI accelerator compute systems. Lead bleeding-edge ... At AWS Trainium we develop a complete vertical stack system, from our own Silicon to Hardware to ...
Sr. GPU/Accelerator Hardware Development Engineer, Annapurna Labs
Austin, TX · On-site
$109K - $146K/yr
Would you like to develop the Next Generation of AI accelerator compute systems. Lead bleeding-edge ... At AWS Trainium we develop a complete vertical stack system, from our own Silicon to Hardware to ...
Sr. GPU/Accelerator Hardware Development Engineer, Annapurna Labs
Austin, TX · On-site
$109K - $146K/yr
Would you like to develop the Next Generation of AI accelerator compute systems. Lead bleeding-edge ... At AWS Trainium we develop a complete vertical stack system, from our own Silicon to Hardware to ...
Sr. GPU/Accelerator Hardware Development Engineer, Annapurna Labs
Austin, TX · On-site
$109K - $146K/yr
Would you like to develop the Next Generation of AI accelerator compute systems. Lead bleeding-edge ... At AWS Trainium we develop a complete vertical stack system, from our own Silicon to Hardware to ...
Software Engineer, LLVM Compiler
Bellevue, WA · On-site
$154K/yr
Apply compiler techniques (JIT compilation, dynamic code generation, optimization passes) to build high-performance simulation infrastructure for accelerator hardware * Develop and enhance compiler ...
New
Software Engineer, LLVM Compiler
Bellevue, WA · On-site
$154K/yr
Apply compiler techniques (JIT compilation, dynamic code generation, optimization passes) to build high-performance simulation infrastructure for accelerator hardware * Develop and enhance compiler ...
New
Software Engineer, LLVM Compiler
Menlo Park, CA · On-site +1
$154K/yr
Experience with hardware-specific optimization for accelerators, GPUs, or DSPs * Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g ...
New
Software Engineer, LLVM Compiler
Menlo Park, CA · On-site +1
$154K/yr
Experience with hardware-specific optimization for accelerators, GPUs, or DSPs * Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g ...
New
Software Engineer, LLVM Compiler
Bellevue, WA · On-site +1
$154K/yr
Experience with hardware-specific optimization for accelerators, GPUs, or DSPs * Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g ...
New
Software Engineer, LLVM Compiler
Bellevue, WA · On-site +1
$154K/yr
Experience with hardware-specific optimization for accelerators, GPUs, or DSPs * Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g ...
New
Software Engineer, LLVM Compiler
Menlo Park, CA · On-site
$154K - $217K/yr
... hardware accelerator blocks. Responsibilities Design and implement LLVM compiler passes, including optimization, lowering, and code generation stages targeting ML accelerator backends • Analyze and ...
New
Software Engineer, LLVM Compiler
Menlo Park, CA · On-site
$154K - $217K/yr
... hardware accelerator blocks. Responsibilities Design and implement LLVM compiler passes, including optimization, lowering, and code generation stages targeting ML accelerator backends • Analyze and ...
New
Software Engineer, LLVM Compiler
New York, NY · On-site +1
$154K/yr
Experience with hardware-specific optimization for accelerators, GPUs, or DSPs * Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g ...
New
Software Engineer, LLVM Compiler
New York, NY · On-site +1
$154K/yr
Experience with hardware-specific optimization for accelerators, GPUs, or DSPs * Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g ...
New
Firmware Engineer
Austin, TX · On-site
Contributing to low-level firmware to orchestrate execution of LLM workloads across hardware accelerator components * Contributing to system and board management of such a system * Create debugging ...
Firmware Engineer
Austin, TX · On-site
Contributing to low-level firmware to orchestrate execution of LLM workloads across hardware accelerator components * Contributing to system and board management of such a system * Create debugging ...
Firmware Engineer
Austin, TX · On-site
$125K - $150K/yr
Contributing to low-level firmware to orchestrate execution of LLM workloads across hardware accelerator components * Contributing to system and board management of such a system * Create debugging ...
Firmware Engineer
Austin, TX · On-site
$125K - $150K/yr
Contributing to low-level firmware to orchestrate execution of LLM workloads across hardware accelerator components * Contributing to system and board management of such a system * Create debugging ...
Hardware Test Engineer
Mountain View, CA · On-site
Own the test that proves our AI accelerator hardware works - from the packaged units, to the boards they sit on, to the systems they ship in. You'll develop the test setups, test hardware, and ...
Hardware Test Engineer
Mountain View, CA · On-site
Own the test that proves our AI accelerator hardware works - from the packaged units, to the boards they sit on, to the systems they ship in. You'll develop the test setups, test hardware, and ...
Hardware / Software CoDesign Engineer - 3P
Seattle, WA · On-site
$342K - $555K/yr
Evaluate potential partners' accelerators and platforms. * As the scope of the role and team grows, understand and influence roadmaps for hardware partners for our datacenter networks, racks, and ...
Hardware / Software CoDesign Engineer - 3P
Seattle, WA · On-site
$342K - $555K/yr
Evaluate potential partners' accelerators and platforms. * As the scope of the role and team grows, understand and influence roadmaps for hardware partners for our datacenter networks, racks, and ...
Firmware Engineer
Austin, TX · On-site
Contributing to low-level firmware to orchestrate execution of LLM workloads across hardware accelerator components * Contributing to system and board management of such a system * Create debugging ...
Firmware Engineer
Austin, TX · On-site
Contributing to low-level firmware to orchestrate execution of LLM workloads across hardware accelerator components * Contributing to system and board management of such a system * Create debugging ...
Senior Staff Electrical Engineer
Sunnyvale, CA · On-site
$210K - $240K/yr
Experience working on server hardware, AI accelerators, hardware accelerator, datacenter, AI Hardware, enterprise product, GPU, CPU, TPU, server platform etc. Preferred Qualifications * Demonstrated ...
Senior Staff Electrical Engineer
Sunnyvale, CA · On-site
$210K - $240K/yr
Experience working on server hardware, AI accelerators, hardware accelerator, datacenter, AI Hardware, enterprise product, GPU, CPU, TPU, server platform etc. Preferred Qualifications * Demonstrated ...
Hardware Accelerator information
See salary details
$12.26 - $15.52
9% of jobs
$17.67 is the 25th percentile. Wages below this are outliers.
$15.52 - $18.77
25% of jobs
The median wage is $21.58 / hr.
$18.77 - $22.03
19% of jobs
$22.03 - $25.28
18% of jobs
$26.39 is the 75th percentile. Wages above this are outliers.
$25.28 - $28.54
12% of jobs
$28.54 - $31.80
10% of jobs
$31.80 - $35.05
6% of jobs
$35.05 - $38.31
1% of jobs
$38.31 - $41.56
0% of jobs
$41.56 - $44.82
0% of jobs
$44.82 - $48.08
0% of jobs
$12
$24
$48
How much do hardware accelerator jobs pay per hour?
As of Sep 11, 2026, the average hourly pay for hardware accelerator 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 are popular job titles related to Hardware Accelerator jobs?
For Hardware Accelerator jobs, the most frequently searched job titles are:
Software Engineer, Accelerators Software/Hardware Co design, DeepMind
Mountain View, CA • On-site
DeepMind
Full-time
Posted 19 days ago
Job description
info_outline
X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; San Francisco, CA, USA.
Minimum qualifications:
Preferred qualifications:
About the job
We are building a next-generation compute platform for cutting-edge AI inference workloads, with an emphasis on innovative memory technologies, hardware acceleration, and software/hardware codesign.
At Google DeepMind you'll be joining our team of scientists and engineers who are directly impacting the future of machine learning for Google and industry.
Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; San Francisco, CA, USA.
Minimum qualifications:
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- Experience in software development using Python and C .
- Experience with Machine Learning (ML) hardware accelerators and ML inference software.
Preferred qualifications:
- PhD in Computer Engineering, Computer Science, or a related field.
- 2 years of experience with hardware accelerators, including architecture, software/hardware co-design, and performance optimization.
- 2 years of experience with collaborative, hyper-scaler software development and engineering best practices.
- Experience scoping, planning, and executing projects towards team goals in ambiguous environments.
About the job
We are building a next-generation compute platform for cutting-edge AI inference workloads, with an emphasis on innovative memory technologies, hardware acceleration, and software/hardware codesign.
At Google DeepMind you'll be joining our team of scientists and engineers who are directly impacting the future of machine learning for Google and industry.
Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
- Collaborate with product teams to design, implement, and prototype novel software algorithms.
- Oversee software/hardware codesign, kernel optimization, performance benchmarking and optimization.
- Collect insights to influence future software and hardware design and the technology roadmap.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.