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mimi

Senior Engineer, Firmware Engineering

Sandisk

India · On-site Full-time Senior Today

About the role

It looks like you’ve shared the full posting for the Software Engineer – AI/ML (AI Privacy Box) role at SanDisk.
Below are a few ways I can help you move forward with your application:

What you might need How I can help
Tailored cover letter Draft a concise, results‑focused cover letter that highlights your C/C++ systems‑programming experience, any AI/ML projects (especially LLM/RAG), and your enthusiasm for storage‑centric AI optimization.
Resume polishing Review or rewrite your resume to surface the most relevant skills (OS concepts, data structures, performance‑oriented coding) and quantify achievements (e.g., “Reduced inference latency by 30 % on an embedded platform”).
Interview preparation Provide a list of likely technical questions (C/C++ deep‑dive, OS memory‑management, algorithm design, LLM/RAG fundamentals) plus sample answers and coding practice problems.
Portfolio / project showcase Suggest how to structure a GitHub repo or personal website that demonstrates your AI/ML and systems work (e.g., a small RAG pipeline, a C++ inference engine, performance benchmarks).
Accommodations request Draft a polite email to jobs.accommodations@sandisk.com that clearly states the accommodation you need, references the job title, and includes any supporting details.
General application checklist A step‑by‑step list of everything you’ll need to submit (resume, cover letter, optional portfolio, references, accommodation note, etc.).

Quick starter: Sample Cover‑Letter Opening (you can customize)

[Your Name]
[Your Address] • [City, State ZIP] • [Phone] • [Email] • [LinkedIn/GitHub]

April 6, 2026

Hiring Committee – AI Privacy Box Platform
SanDisk
[Company Address]

Dear Hiring Committee,

I am excited to apply for the Software Engineer – AI/ML position on the AI Privacy Box team. With a B.Tech in Computer Science and 2 years of hands‑on C++ systems development, I have built high‑performance inference pipelines that integrate LLMs with custom storage‑aware caching layers—exactly the blend of AI and storage‑centric optimization your role calls for. My recent project, “Edge‑RAG‑Cache”, reduced end‑to‑end query latency by 28 % on a 256 GB NVMe‑based edge device while maintaining sub‑megabyte memory footprints, demonstrating the kind of performance‑oriented AI work I am eager to bring to SanDisk.

(Continue with 2–3 more paragraphs that map your experience to the key responsibilities, then close with enthusiasm and a call‑to‑action.)


Next Steps

  1. Tell me which deliverable you’d like to start with (cover letter, resume, interview prep, etc.).
  2. If you have an existing resume or any project details you’d like me to incorporate, feel free to paste them here.
  3. Let me know any specific constraints (e.g., page limits, preferred tone, particular achievements you want highlighted).

I’m ready to help you craft a standout application—just let me know where to begin!

Requirements

  • Experience with systems programming or performance‑oriented software is a plus.
  • Interest in system‑level AI optimization and storage‑centric architectures.

Responsibilities

  • Develop AI/ML software components for the AI Privacy Box platform.
  • Implement and integrate LLM and RAG models into the software stack.
  • Work on performance optimization of AI workloads using storage and system‑level techniques.
  • Contribute to system software components interacting with OS, memory, and I/O subsystems.
  • Collaborate with senior engineers on architecture, design, and optimization.
  • Debug, test, and maintain high‑quality, production‑ready code.

Skills

AI/MLCC++Data StructuresLLMMachine LearningAlgorithmsRAG

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