Staff SWE, Compiler Architect, System Performance Modeling

Google

Seattle, WA

Apply

JOB DETAILS

SKILLS

Adobe Acrobat, Artificial Intelligence (AI), Bridge Building, C++ Programming Language, Civil Engineering, Cloud Computing, Data Analysis, Data Visualization Tools, Debugging Tools, Employee Benefits, English Language, Equal Employment Opportunity (EEO), Genetics, Hardware Design, Hardware Simulation, IR (Infrared), Information Architecture, Kernel Programming, Large-Scale Systems, Leadership, Leading Edge Technology, Machine Learning, Modeling Languages, Network Operations Center, Open Source, Operations Research, Performance Analysis, Performance Modeling, Problem Solving Skills, Product/Service Launch, Python Programming/Scripting Language, Rapid Application Development (RAD), Recruiting/Staffing Agency, Regulatory Requirements, Simulation, Software Architecture, Software Architecture Design, Software Design, Software Engineering, State Laws and Regulations, System Architecture, Systems Analysis, Technical Leadership, Technical Strategy, Testing, Topology

LOCATION

Seattle, WA

POSTED

30+ days ago

Staff SWE, Compiler Architect, System Performance Modeling _corporate_fare_ Google _place_ Sunnyvale, CA, USA; Kirkland, WA, USA; +3 more; +2 more **Advanced** Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. _info_outline_ XIn 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: 401(k) 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: **Sunnyvale, CA, USA; Kirkland, WA, USA; New York, NY, USA; Seattle, WA, USA** . **Minimum qualifications:** + Bachelor's degree or equivalent practical experience. + 8 years of experience programming in C++ or Python. + 5 years of experience testing, and launching software products. + 5 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging. + 3 years of experience with software design and architecture. **Preferred qualifications:** + Experience with hardware/software co-design problems, especially performance analysis and bottleneck identification at the pre-silicon stage. + Experience with ML system architectures, including knowledge of compilers, Intermediate Representations (IRs), and hardware accelerators. + Experience enabling and optimizing large-scale ML models (e.g., LLMs, large embedding models). + Ability to lead technical strategy for complex systems, influencing both simulation toolchains and hardware roadmaps. + Proven expertise in constructing custom IR dialects and leveraging open-source compiler frameworks (MLIR, XLA) to solve system level analysis and exploring software-hardware mapping opportunities. + Expertise in architecting high-confidence, high-velocity system performance modeling and correlation infrastructure. **About the job** Google Cloud's mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren't just building technology; you're shaping the frontier of enterprise and driving the evolution of advanced models. Our team is pioneering next-generation performance modeling and simulation technologies that drive multi-year system architecture roadmaps for cutting-edge machine learning accelerators. We are looking for a visionary technical lead to define and own the accuracy and fidelity of our critical co-design simulation platform. Help work on the most complex system-level performance challenges in close collaboration with hardware designers, ML researchers, and product architects, defining the next decade of AI systems at data center scale. If you are excited about building the most powerful ML systems with HW-SW co-design and optimization, please join us and accomplish the missions together. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $301000 (USD) + 20% bonus target + bonus + equity + benefits Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) . **Responsibilities** + Establish and maintain high-confidence correlation infrastructure between simulated performance and physical hardware measurements (silicon). + Architect and evolve the simulation layer to support deep exploration of complex, business-critical workloads (e.g., large language models, advanced kernels) and future system topologies. + Identify and solve system-level hardware/software bottlenecks and optimization opportunities at the critical pre-silicon stage. + Provide high-confidence lower-bound performance estimates for future ML systems and architectures. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) . 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. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

About the Company

Google

Build for everyone

Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe.

It starts with how we work together. We’re building a company where people of different views, backgrounds and experiences can do their best work and show up for one another. A place where every Googler feels like they belong.

So whether you develop new technology or creative campaigns, craft beautiful products or breakthrough partnerships, your work here is a chance to accomplish things that matter. Bring your insight, imagination, and healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

Benefits

We strive to provide Googlers and their loved ones with a world-class benefits experience, focused on supporting their physical, financial, and emotional wellbeing. Our benefits are based on data, and centered around our users: Googlers and their families. They’re thoughtfully designed to enhance your health and wellbeing, and generous enough to make it easy for you to take good care of yourself (now, and in the future). So we can build for everyone, together.

Learn more about Google’s benefits on this site featuring Googlers’ experience.

How we Hire

Google’s hiring process is an important part of our culture. Googlers care deeply about their teams and the people who make them up. In order to build for everyone, we know that we need a wide range of perspectives and experiences, and a fair hiring process is the first step in getting there.

Learn more about our hiring process.

COMPANY SIZE

10,000 employees or more

INDUSTRY

Other/Not Classified

EMPLOYEE BENEFITS

Paid Sick Days, Performance Bonus, Professional Development, 401K, Stock Options, Employee Events, Retirement / Pension Plans, Tuition Reimbursement, Work From Home, Life Insurance, On Site Cafeteria

FOUNDED

1998

WEBSITE

https://goo.gle/4dbno6V