4 дня назад
Software Engineer AI BU (AI)
170 000 - 253 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer AI BU (AI): Designing and building complex software systems for NetApp's AI business unit with an accent on cloud-native architectures, distributed systems, and AI/ML infrastructure. Focus on owning system architecture, leading projects from design through delivery, resolving scalability and reliability risks, and mentoring engineers.
Location: United States, including San Jose, California and Morrisville, North Carolina. The role follows a hybrid working environment with in-office and/or in-person expectations.
Salary: $170,000–$253,000 per year, depending on location, qualifications, experience, and education.
Company
provides intelligent data infrastructure, unified storage, integrated data services, and cloud solutions for traditional workloads and enterprise AI.
What you will do
- Serve as technical lead or primary design owner for AI BU projects and components from design through delivery.
- Design, build, and maintain complex software systems with strong performance, reliability, and maintainability.
- Write design documents and RFCs, participate in design reviews, and review complex designs and pull requests.
- Translate product requirements into technical designs with managers, technical leads, and product stakeholders.
- Identify and resolve technical debt, scalability limits, reliability gaps, and other technical risks.
- Mentor engineers and promote best practices in system design, testing, observability, and operational excellence.
Requirements
- 8+ years of hands-on software engineering experience, including exposure to large-scale distributed systems.
- Experience as a technical lead or primary design owner for a project or team-level initiative.
- Hands-on experience with cloud-native architectures on AWS, Azure, or Google Cloud.
- Experience with system design, distributed storage systems, data processing, analytics, or AI/ML systems.
- Working knowledge of agentic engineering using local and/or frontier models, plus familiarity with CI/CD infrastructure.
- Strong written and verbal communication skills, including the ability to explain technical trade-offs and mentor engineers.
Nice to have
- Experience with distributed database systems.
- Experience training and deploying AI models.
- Experience with GPU workloads and accelerated computing infrastructure.
Culture & Benefits
- Hybrid work environment designed to support collaboration, connection, and flexibility.
- Health insurance, life insurance, retirement or pension plans, paid time off, and leave options may be available depending on the region.
- Performance-based incentives, employee stock purchase plans, and/or restricted stock units may be included.
- Culture centered on initiative, ownership, impact, inclusion, and technical problem-solving.
Hiring process
- Applications are reviewed through the careers website.
- Selected hiring stages may use AI tools to support application evaluation and candidate selection, with final decisions supported by human judgment.
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