Principal Engineer, Storage AI
at Alphabet
Posted 5 hours ago
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- Compensation
- $294,000 – $414,000 USD
- City
- New York City, Seattle
- Country
- United States
Currency: $ (USD)
Lead the architecture and development of Google's Storage AI infrastructure to support model training, inference, and reinforcement learning platforms. Drive scalable, secure storage systems and first-principles design across the full stack. Set the platform roadmap, drive AI innovation, and partner with Hardware, Data Center, Networking and other software teams to deliver enterprise-grade AI storage capabilities.
Principal Engineer, Storage AI
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- 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
Minimum qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- 15 years of experience in software engineering, with 8 years in a technical engineering role.
- Experience building and scaling distributed systems and platforms (e.g., Kubernetes, microservices, Kafka/RabbitMQ, Redis/Cassandra, load balancing, sharding, CAP Theorem, service mesh).
- Experience in machine learning concepts, AI architectures, and related technologies (e.g.,transformer architectures, LLM fine-tuning (LoRA, QLoA), Retrieval-Augmented Generation, latency optimization, model quantization, hyperparameter tuning, PyTorch/TensorFlow).
Preferred qualifications:
- Master's degree or PhD in Computer Science, Artificial Intelligence, or a related field.
- Experience with model training, inference, AI infrastructure, Agents and unstructured data platforms.
- Understanding of industry trends and competitive landscapes in AI and machine learning.
- Ability to drive innovation and foster a culture of technical excellence.
- Excellent communication and presentation skills, with the ability to articulate complex technical concepts to unique audiences.
About the job
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.
The US base salary range for this full-time position is $294,000-$414,000 + 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
- Identify key opportunities and challenges in the model training, inference, RL and Agentic platforms where Storage can accelerate the development and performance of production systems. Build a strategy to stay ahead of the needs of the next generation systems.
- Drive the architecture, design, and implementation of highly scalable, performant, reliable, and secure storage system. Derive the best architecture based on first principles thinking and work across the stack.
- Lead AI innovation by forecasting trends and defining the next-gen platform roadmap.
- Partner with other teams like Hardware, Data Center, Networking, and other software platforms, and influence alignment around common solutions.
- Solve critical AI pain points for internal and external customers to maximize platform value.
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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 also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
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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.
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