Remote Principal Engineer, AI Platform Architect

Sandisk

Milpitas (CA)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Comprehensive medical/dental/vision insurance
Paid vacation time
Employee stock purchase plan

Job summary

Sandisk is looking for a Principal Engineer in Milpitas, California, to serve as an architect for Nexus, an Enterprise AI platform. This role involves co-owning architecture across hybrid on-premises and cloud environments while leading the design of systems.

The ideal candidate will possess a Master's or PhD in relevant fields and have over 7 years of professional software engineering experience, especially in AI/ML and distributed systems. The role offers a comprehensive benefits package and a commitment to diversity.

Qualifications

  • 7+ years of professional software engineering experience, including 5+ years in architecture or technical leadership roles.
  • Deep proficiency in Python and familiarity with TypeScript/JavaScript.
  • Expert-level understanding of modern AI/ML stacks.

Responsibilities

  • Co-own end-to-end architecture for the Nexus platform.
  • Define multi-quarter technical direction in partnership with engineering leadership.
  • Architect production-grade agentic workflows using LangGraph, Deep Agents, and modern agent frameworks.

Skills

Python
TypeScript/JavaScript
React
Go
Java
C++
Kubernetes
Docker
REST/GraphQL APIs
Distributed Systems

Education

Master's or PhD in Artificial Intelligence, Machine Learning, Data Science, Computer Science, or a related field

Tools

LangGraph
PyTorch
TensorFlow
PostgreSQL
MongoDB
Elasticsearch
Redis

Job description

Sandisk is looking for a Principal Engineer in Milpitas, California, to serve as an architect for Nexus, an Enterprise AI platform. This role involves co-owning architecture across hybrid on-premises and cloud environments while leading the design of systems.

The ideal candidate will possess a Master's or PhD in relevant fields and have over 7 years of professional software engineering experience, especially in AI/ML and distributed systems. The role offers a comprehensive benefits package and a commitment to diversity.

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