Technical Program Manager III, Hardware and Software Systems, Cloud AI Systems
Job Summary
Job Description
- 5+ years program management experience
- Hardware & software systems experience
- ML/AI product development expertise
- Cross-functional project management
- Performance & cost projection for AI/ML
- Hardware/Software simulator development (C++,Python)
- Experience with software infrastructure supporting ML architectures
- Bonus
- Equity
- Benefits
4 skills required
Job Details
Minimum qualifications:
- Bachelor's degree in a technical field, or equivalent practical experience.
- 5 years of experience in program management.
- Experience in hardware systems and software systems.
- Experience developing machine learning or artificial intelligence products from research to production.
Preferred qualifications:
- 5 years of experience managing cross-functional or cross-team projects.
- Experience with software infrastructure supporting the development of hardware/software machine learning architectures.
About the job
A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
As a Technical Program Manager, you will be responsible for delivering performance and cost projections for AI/ML initiatives. You will support the hardware and software road map. You will also enable innovation across the stack by providing the software infrastructure needed to explore and evaluate new hardware/software architectures.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
The US base salary range for this full-time position is $156,000-$229,000 + 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.
Responsibilities
- Drive programs to deliver definition, implementation and validation performance and cost metrics relevant for existing and future workloads and systems.
- Drive programs to identify future hardware and software opportunities for improved Machine learning (ML) performance and build, maintain and validate Hardware/Software simulators to enable evaluation of options and solutions (C++, Python).
- Track and manage the progress of various performance efforts identifying and mitigating risks, and ensuring that projects are completed on time and within budget. Communicate with stakeholders at all levels.
- Facilitate collaboration and coordination between the different teams involved in machine learning performance improvement.
- Collaborate with other teams (hardware, compiler, machine learning research) to improve the flow and results. Communicate results and turn them into improvements with cross-functional teams.
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About The Company
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.
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