Top 48 google cloud accelerator accelerator Jobs in sunnyvale, ca

Staff Software Engineer, TPU Performance
Google —Sunnyvale, CA
- $207,000 - $300,000 a year
- Full-time
- Computer Science
- Engineering
- System design
Software Engineer, GPU Performance
Google —Sunnyvale, CA
- $147,000 - $211,000 a year
- Full-time
- Computer science
- Computer Science
- System design
2d
Global Supply Chain Specialist, Compute
Crusoe —Sunnyvale, CA
- $118,000 - $144,000 a year
- Full-time
- Background check
- 5 years
- SQL
Quick Apply
12d
Staff Applied AI Agent Developer
Google —Sunnyvale, CA
- $207,000 - $300,000 a year
- Full-time
- Computer Science
- Engineering
- System design
Staff Software Engineer, Accelerator Platform Software
Google —Sunnyvale, CA
- $207,000 - $300,000 a year
- Full-time
- Computer science
- Computer Science
- Engineering
ASIC Design Verification Engineer, Google Cloud
Google —Sunnyvale, CA
- $117,000 - $166,000 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
5d
TPU SoC Design Engineer, Cloud
Google —Sunnyvale, CA
- $138,000 - $198,000 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
Senior Software Engineer, Database Internals AlloyDB
Google —Sunnyvale, CA
- $174,000 - $252,000 a year
- Full-time
- Computer science
- Computer Science
- System design
14d
Software Engineer, TPU Compiler Development Infrastructure
Google —Sunnyvale, CA
- $147,000 - $211,000 a year
- Full-time
- Computer Science
- System design
- Mid-level
Ruby on Rails Engineer w/ front-end skills (Remote)
VC Lab —Palo Alto, CA
- $60,000 - $140,000 a year
- Remote
- English
- Mid-level
- 3 years
RTL Design Engineer, TPU Compute
Google —Sunnyvale, CA
- $138,000 - $198,000 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
5d
Staff SWE, Compiler Architect, System Performance Modeling
Google —Sunnyvale, CA
- $207,000 - $300,000 a year
- Full-time
- 5 years
- System design
- Office
- Paid holidays
- Disability insurance
TPU RTL Design Engineer, Cloud
Google —Sunnyvale, CA
- $138,000 - $198,000 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
5d
TPU RTL Design Engineer
Google —Sunnyvale, CA
- $138,000 - $198,000 a year
- Full-time
- Computer science
- Computer Science
- Master's degree
12d
Research Scientist
Snorkel AI —Redwood City, CA
- $200,000 - $275,000 a year
- Remote
- System design
- AWS
- Doctor of Philosophy
ASIC Formal Verification Engineer, Google Cloud
Google —Sunnyvale, CA
- $138,000 - $198,000 a year
- Full-time
- Computer science
- Computer Science
- Master's degree
Staff Software Engineer, Embedded Systems/Firmware
Google —Sunnyvale, CA
- $207,000 - $300,000 a year
- Full-time
- Computer Science
- Engineering
- System design
6d
Staff Software Engineer, TPU Machine Learning Supercomputer
Google —Sunnyvale, CA
- $207,000 - $300,000 a year
- Full-time
- Computer Science
- Engineering
- System design
6d
Senior Software Engineer, GPU Performance
Google —Sunnyvale, CA
- $174,000 - $252,000 a year
- Full-time
- Computer science
- Computer Science
- System design
- Paid holidays
- Disability insurance
ASIC Design Verification Engineer, TPU Cloud
Google —Sunnyvale, CA
- $138,000 - $198,000 a year
- Full-time
- Computer science
- Computer Science
- Master's degree
5d

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Staff Software Engineer, TPU Performance

Google -
Sunnyvale, CA

Apply Now

Job Details

Full-time
$207,000 - $300,000 a year

Qualifications

Launching new IT products
Software engineering
Engineering development testing
System design
System design for system development
System testing
Systems analysis
Benchmarking
Model evaluation
Design (software development lifecycle)

Full Job Description

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
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.
Experience with ML performance analysis and benchmarking.

Preferred qualifications:

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures and algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in an organization involving cross-functional, or cross-business projects.
Experience optimizing for NVIDIA/AMD architectures through low-level programming, performance modeling, and bottlenecks analysis to maximize compute efficiency and memory hierarchy utilization.
Experience in hardware-aware algorithm design and compiler stacks (e.g., OpenXLA), tailoring large-scale ML models and distributed systems for peak performance across accelerator hardware.

About the job

Google's 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 handle information at massive scale, and extend well beyond web search. We're 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 Google’s 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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

In this role, you will work across JAX and PyTorch to squeeze maximum efficiency out of Google’s production and research workloads, like Gemini and other open-source models.

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.

The US base salary range for this full-time position is $207,000-$300,000 + 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

Focus on Tensor Processing Unit (TPU) fleet efficiency analysis and performance optimization, while identifying and maintaining Machine Learning (ML) training and serving benchmarks.
Use the benchmarks to identify performance opportunities and drive out-of-the-box performance by improving the compiler, runtime, etc. in collaboration with partner teams.
Collaborate with Google product teams and researchers to solve performance problems, such as onboarding new Machine Learning models and products onto new Tensor Processing Unit hardware to enable larger models to train efficiently at a very large scale.
Analyze performance and efficiency metrics to identify bottlenecks, design, and implement solutions at Google fleet-wide scale.
Explore model and data efficiency techniques i.e., model co-design, quantization, and sparsity.

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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Apply Now

Refine Your Search

google cloud accelerator accelerator jobs in sunnyvale, ca

Staff Software Engineer, TPU Performance

Software Engineer, GPU Performance

Global Supply Chain Specialist, Compute

Staff Applied AI Agent Developer

Staff Software Engineer, Accelerator Platform Software

ASIC Design Verification Engineer, Google Cloud

TPU SoC Design Engineer, Cloud

Senior Software Engineer, Database Internals AlloyDB

Software Engineer, TPU Compiler Development Infrastructure

Ruby on Rails Engineer w/ front-end skills (Remote)

RTL Design Engineer, TPU Compute

Staff SWE, Compiler Architect, System Performance Modeling

TPU RTL Design Engineer, Cloud

TPU RTL Design Engineer

Research Scientist

ASIC Formal Verification Engineer, Google Cloud

Staff Software Engineer, Embedded Systems/Firmware

Staff Software Engineer, TPU Machine Learning Supercomputer

Senior Software Engineer, GPU Performance

ASIC Design Verification Engineer, TPU Cloud

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