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Sunnyvale, California, United States · On-site
$207k–$300k/yr
Senior+$26M raised
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Skills: Machine Learning, Software Development, Technical Leadership, People Management, ML Infrastructure
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$152k–$221k/yr
Senior$26M raised
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Skills: Java, C++, Python, Software Architecture, Distributed Systems
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Senior Software Engineer, Windows/Desktop Applications - Sunnyvale, CA, USA
Sunnyvale, California, United States · Remote Solely
$140k–$200k/yr
Mid level
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Principal Applied Scientist, Prime Video Personalization & Discovery , PV Personalization & Discovery, Principal Applied Scientist, PVPD
Sunnyvale, California, United States · On-site
$199k–$309k/yr
Senior+$67M raised
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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale …
Principal Software Engineer - Embedded Platform Software Development
Sunnyvale, California, United States · On-site
$172k–$349k/yr
Senior+$2.9B raised
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Senior Product Marketing Manager, AI Training Infrastructure
Sunnyvale, California, United States · Hybrid
$177k–$237k/yr
Senior$46B raised
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Senior Manager, Technical Support Engineering - Cloud
San Francisco, California, United States · On-site
$198k–$264k/yr
Senior$46B raised
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Skills: Engineering management, Go, Backend systems, Relational data modeling, Distributed systems
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Skills: System Integration, Python, Embedded Systems, Hardware/Software Integration, Git
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Skills: Product management, Simulation, Digital twin, Robotics, Autonomy
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Skills: Program management, People leadership, Retail operations, Supply chain management, Reverse logistics
Minimum qualifications: Bachelor's degree in Computer Science, or a related technical field, or equivalent practical experience. 5 years of experience with software development in one or more programming languages, inclu…
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$207k–$300k/yr
Full-time
bachelor degree, postgraduate degree
Bonus, Equity, Health Insurance
Posted 4d ago
~40 hrs/week
Responsibilities
The role involves driving technical strategy and roadmaps for large-scale ML infrastructure to optimize the utilization of Google's accelerator fleet. You will lead a team of engineers to develop solutions that maximize computational efficiency and eliminate resource waste.
Requirements
Candidates must have at least 8 years of software development experience, including 5 years in ML infrastructure and 3 years in technical leadership. A bachelor's degree is required, with a master's or PhD in a technical field preferred.
Full job description
Minimum qualifications:
Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
3 years of experience in a technical leadership role.
2 years of experience in a people management or team leadership role.
Preferred qualifications:
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
Experience with ML development, modeling, optimization, and infrastructure.
Experience with TPUs, TPU system design, and GPUs.
Experience with low-level programming.
Expertise in ML compilers and runtimes.
About the job:
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
Our team drives machine learning computational efficiency. We manage software to optimize the utilization of hundreds of thousands of Google Accelerator Units globally. We build the software abstraction layer between ML models and physical TPU/GPU hardware.
Our mission is to eliminate resource waste across Google’s accelerator fleet, maximizing the physical utility of compute clusters while maintaining peak developer velocity and seamless runtime execution. We strive to provide a cohesive, highly efficient, and transparent runtime environment that enables ML teams to focus entirely on modeling and research rather than physical infrastructure constraints.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Drive technical strategy, roadmaps, and adoption for large-scale ML infrastructure development.
Innovate next directions for infrastructure over a 12-month time horizon given a rapidly changing technology landscape.
Exercise sound engineering judgment to guide sustainable engineering choices for ML systems at scale.
Seek additional opportunities to drive efficiencies in ML workloads using scaling, idle suspend, and improving these capabilities with existing and novel technologies.
Lead a team of ~10 engineers to develop solutions that drive the efficiency of ML workloads.
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
Check out our career opportunities at goo.gle/3DLEokh
Offices: 1600 Amphitheatre Parkway, Mountain View, CA 94043, US · 111 8th Ave, New York, NY 10011, US · Claude Debussylaan 34, Amsterdam, North Holland 1082 MD, NL · Avenida Brigadeiro Faria Lima, 3477, Sao Paulo, SP 04538-133, BR · 51 Breithaupt St, Kitchener, ON N2H 5G5, CA
Based on 2211 listings with disclosed salaries, most technology jobs in Sunnyvale, CA pay between $129k–$279k per year. Individual offers vary with seniority, company size, and specialization.
How many Technology jobs are open in Sunnyvale, CA right now?
There are currently 2,589 open technology positions in Sunnyvale, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Technology roles in Sunnyvale, CA?
Companies currently hiring include Google, Intuitive, Apple, Walmart, Wayve, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Technology jobs in Sunnyvale, CA?
Yes — 745 of the 2589 open technology positions offer remote or hybrid work (55 remote, 690 hybrid).
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