Senior Software Engineer, NPI Readiness
Listed on 2026-02-18
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Software Development
AI Engineer, Machine Learning/ ML Engineer
Senior Staff Software Engineer, NPI Readiness
Google Kirkland, WA, USA;
Seattle, WA, USA; +1 more
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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: 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 (statutory, where applicable); 5 days/event (discretionary)
- 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:
Kirkland, WA, USA;
Seattle, WA, USA;
Sunnyvale, CA, USA
.
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 7 years of experience leading technical ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience with design and architecture and testing/launching software products.
- 8 years of experience with data structures and algorithms.
- 5 years of experience in a technical leadership role leading project teams and setting technical direction.
- Experience designing, building, and shipping large-scale distributed systems, specifically building and deploying purpose-built ML infrastructure, including ML hardware to run planet-scale AI/ML models for training and inference workloads.
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
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.
The New Product Introduction (NPI) and Platform Readiness team within the AI Hypercomputer Infrastructure organization helps bring new Tensor Processing Unit (TPU) and Graphics Processing Unit (GPU) generations to the Google Cloud platform and enables end-to-end AI/ML compute experience for Google Cloud users. We help bring up and qualify the complete Cloud TPU and Cloud GPU hypercomputer stack, including virtual machines, networking, storage, Google Kubernetes Engine (GKE) and software tool chains, etc.
We build and deliver the telemetry infrastructure for both the GPU/TPU fleet as well as critical AI/ML workloads. We optimize the stability and performance for high priority AI/ML workloads across the stack. We also do model benchmarking and optimizations for standard models during the NPI process.
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…
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