Senior Engineer, AI BU
$170,000–$253,000 year
On-siteSan Jose, California, United States
Job Summary
Lead design and delivery of complex software systems within NetApp's AI BU, serving as tech lead or primary design owner for key components. Author RFCs, drive design reviews, and write production code while mentoring engineers and resolving technical risks related to scalability and reliability. Partner with stakeholders to translate requirements into technical designs, enforce best practices in observability, and propose adoption of new AI frameworks and cloud-native architectures. This role requires 8+ years of experience with distributed systems and AWS/Azure/GCP, offering a salary of $170,000–$253,000 USD.
Required Qualifications
- 8+ years of hands-on software engineering experience, including some exposure to large-scale distributed systems
- Demonstrated experience as technical lead or primary design owner on a project or team-level initiative
- Hands-on experience with cloud-native architectures on AWS, Azure, or Google Cloud
- Working knowledge of using agentic engineering using local and/or frontier models
- Exposure to Distributed Storage Systems
- Ability to build consensus and communicate technical trade-offs within your team and to adjacent teams
- Solid system design skills, with experience owning the architecture of a component or service
- Strong written and verbal communication skills — able to author design docs and clearly present technical trade-offs
- Experience with data processing, analytics, or AI/ML systems
- Experience mentoring engineers and contributing to a team's technical quality bar
- Familiarity with CI/CD infrastructure for production deployments
Desired Qualifications
- Experience with Distributed Database Systems
- Experience with training and deploying AI models
- Experience with GPU workloads and accelerated computing infrastructure
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