Sandisk
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Consumer Product Manufacturing · 10000+ Employees · Milpitas, US
SanDisk, a Western Digital brand, is expanding the possibilities of storage. Our products are used in the world's leading-edge data centers, embedded in advanced smartphones, tablets, and laptops, and entrusted by consumers around the globe. From mobile devices to hyperscale data centers, SanDisk storage solutions make the incredible possible. For more information, visit www.sandisk.com.
Hiring: Engineering
What employees say
+ Work life balance Good manager
− No bonus or yearly stocks
More reviews on the company profile.
Interview experience · Senior Engineer
I gave the senior device R&D Engineer interview and it went quite well. Overall interview process (till the final offer) took ~ fifteen days. Interview was mostly on basics of semiconductor devices & Digital CMOS . Ther
Easy difficulty · India · 78 reports
More interview insightsJob description
Overview
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today's needs and tomorrow's next big ideas.
Responsibilities
- Develop AI-powered applications and services using modern GenAI frameworks.
- Build prompt workflows, tool integrations, and conversational experiences using LLMs.
- Integrate AI capabilities into enterprise applications through APIs and microservices.
- Assist in creating reusable prompt templates, workflows, and AI best practices.
- Develop and test AI features using Python and modern AI development libraries. 2. Agentic AI & Workflow Automation
- Participate in designing agent-based systems for task automation and multi-step reasoning.
- Build AI agents capable of interacting with tools, APIs, and enterprise data sources.
- Support implementation of agent orchestration, workflow automation, and tool-calling patterns.
- Help evaluate agent performance, reliability, and safety. 3. Retrieval-Augmented Generation (RAG) & Knowledge Systems
- Assist in developing RAG pipelines for enterprise knowledge discovery.
- Build document ingestion, chunking, embedding, and retrieval workflows.
- Support creation and maintenance of vector databases and knowledge repositories.
- Implement semantic search capabilities across structured and unstructured data. 4. Model Evaluation & AI Quality Engineering
- Conduct benchmarking and evaluation of GenAI solutions.
- Develop automated tests for prompts, AI workflows, and agent behavior.
- Measure response quality, latency, accuracy, and hallucination rates.
- Support continuous improvement through testing and feedback mechanisms. 5. Cloud & AI Platform Fundamentals
- Learn and contribute to cloud-native AI deployments.
- Assist in building CI/CD pipelines for AI applications.
- Monitor AI application performance and usage metrics.
- Support deployment and testing of AI workloads in cloud environments. 6. Emerging AI Technologies
- Explore evolving AI technologies and industry best practices.
- Prototype solutions using open-source and commercial AI models.
- Contribute to adoption of modern AI standards and protocols.
- Stay current with advancements in AI agents, multimodal AI, and foundation models. Qualifications Educational Background
- Master's degree in Computer Science, Computer Engineering, Artificial Intelligence & Machine Learning or related technical disciplines Preferred Academic Experience:
- Candidates should demonstrate exposure through coursework, internships, research, hackathons, or open-source contributions involving: Generative AI, Large Language Models, Software Engineering, Data Engineering, Cloud Computing Technical Skills:
- Programming: Python (required), JavaScript/Typescript (Preferred)
- Gen AI Development: GenAI concepts, Prompt engineering, RAG architectures, LLM APIs, SDKs, Agentic AI & MCP fundamentals
- App Development: React, FastAPI/Flask or Node.js, REST APIs and microservices concepts
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Artificial Intelligence & Machine Learning Engineer at Sandisk?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Sandisk may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Artificial Intelligence & Machine Learning Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Artificial Intelligence & Machine Learning Engineer remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Artificial Intelligence & Machine Learning Engineer role at Sandisk?
- This is a mid-level Artificial Intelligence & Machine Learning Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.