Software Engineer, Edge TPU Compilers, Silicon

Google LLC

Kirkland, WA

JOB DETAILS
SALARY
$147,000–$211,000 Per Year
SKILLS
Algorithms, Analysis Skills, Artificial Intelligence (AI), Artificial Intelligence (AI) Natural Language, Blog, Business Growth, Cloud Computing, Computer Hardware, Computer Science, Computer Software, Cookies, Customer Service Management, Customer Support/Service, Data Storage, Debugging Skills, Disability Insurance, Distributed Computing, Embedded Systems, Engineering Management, English Language, Equal Employment Opportunity (EEO), General Handyperson, Genetics, Government, Greek Language, Information Retrieval, Information/Data Security (InfoSec), International Business, International Sales, Internet Search, Investor Relations, Italian Language, Large-Scale Systems, Leadership, Life Insurance, Machine Learning, Mechanical Engineering, Natural Language Processing (NLP), Network Administration/Management, Network Design, Network Operations Center, Operations Management, Performance Tuning/Optimization, Product Engineering, Product Management, Product Support, Programming Languages, Project/Program Management, Public Affairs, Public Policy, Quality Engineering, Quality Management, Recruiting/Staffing Agency, Regulatory Requirements, Risk, Sales, Sales Management, Software Development, Software Engineering, Supply Chain, System Integration (SI), System-on-a-Chip (SoC), Systems Administration/Management, Technical Leadership, Technical Support, User Interface Design, User Interface/Experience (UI/UX), Vendor/Supplier Planning, YouTube
LOCATION
Kirkland, WA
POSTED
30+ days ago

Software Engineer Edge TPU Compilers Silicon Google Careers

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Software Engineer Edge TPU Compilers Silicon

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Google place Mountain View CA USA Kirkland WA USA

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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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info_outline X In accordance with Washington state law, we are highlighting our comprehensive benefits package which is available to all eligible US based employees. Benefits for this role include:

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401k with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year, increased to 69 hours/year for Seattle, including 5 discretionary sick days per instance
  • Maternity Leave, Short-Term Disability, Baby Bonding: 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

Note: By applying to this position, you will have an opportunity to share your preferred working location from the following: Mountain View CA USA, Kirkland WA USA.

Minimum qualifications

  • Bachelors degree or equivalent practical experience.
  • 2 years of experience working with embedded systems or device software.
  • 2 years of experience with compilers development, parallelization, etc.
  • 2 years of experience with software development in one or more programming languages (e.g., C) or 1 year of experience with an advanced degree.

Preferred qualifications

  • Masters degree or PhD in Computer Science or related technical fields.
  • Experience in optimizing ML models for inference.
  • Experience developing compilers within the context of accelerator-based architectures.
  • Experience in MLIR or LLVM.

About the job Googles software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to manage information at a massive scale and extend well beyond web search. Were looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking, and data storage, security, artificial intelligence, natural language processing, UI design, and mobile-the list goes on and is growing every day.

As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities, and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As a part of this team, you will contribute to building Google Tensor TPU, Googles custom System-on-Chip (SoC) ML accelerator that powers the latest Pixel phones. As a part of this team, you will help make transformative user experiences possible by leveraging cutting-edge Machine Learning (ML) running on Tensor TPU. You will be responsible for analysis, optimization, and compilation of ML models targeting the Edge TPU. You will enable Gemini Nano, our efficient AI model for on-device tasks, to run on Pixel phones and leverage the latest ML innovations and research by delivering computing hardware and software.

Googles mission is to organize the worlds information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make peoples lives better through technology.

The US base salary range for this full-time position is $147,000-$211,000 (bonus, equity, benefits). Our salary ranges are determined by role level and location. Within the range, individual pay is determined by work location and additional factors including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Analyze and improve compiler quality, performance, optimization decisions, correctness, and compilation time as part of the Edge TPU compiler team.
  • Develop and enhance parallelization and scheduling algorithms to reduce compute and data movement costs for executing ML workloads on the Edge TPU.
  • Collaborate with Edge TPU architects to shape future accelerators, the Hardware/Software (HWSW) interface, and co-optimizations of the next-generation Edge TPU architectures.
  • Work on efficient mapping of generative AI models and other key workloads into Edge TPU instructions through the compiler.

Information collected and processed as part of your Google Careers profile and any job applications you choose to submit is subject to Googles 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: Googles 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.

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More about us About us Contact us Press Related Information Investor relations Blog Equal Opportunity

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: Googles EEO Policy, Know your rights, workplace discrimination is illegal, Belonging at Google, and How we hire.

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