Sandisk

Staff Engineer, System Design Engineering

Milpitas, CA, United States · Staff+

Sponsorship not specifiedDetected 8 days ago

PythonC++Vector DatabasesLinuxData EngineeringLLMsRAGSupply ChainResearch

About the role

With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we're living in and that we have the power to shape.
Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward.
These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations.

Design & Validate AI Infrastructure for Benchmarks
Analysis of Benchmarks for End-to-end AI Infrastructure and develop test environment for Benchmark tests
Define and Perform Benchmark tests for AI workloads on storage systems
Design Benchmarks for Vector DB & KV cache
Optimize Data pipelines for Inference and training
Analyze Benchmark results, document and publish with recommendations
Research and implement innovative ways to validate PCIe/NVMe SSD debug infrastructure.
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.

Bachelor's degree in Computer Science or Computer Engineering with 5+ years of experience, or a Master's degree in Computer Science or Computer Engineering with 2+ years of experience.
This role requires a strong understanding of AI workloads, system architectures, and performance characterization methodologies across modern AI infrastructure environments.

Experience with different Operating Systems (Windows, Linux, VMware).
Scripting and/or programming languages, such as Shell scripts, Python, C/C++ are required.
AI Infrastructure & Hardware Awareness - GPU/CPU architecture basics
Experience in Performance & Benchmarking - profiling tools, system bottlenecks
Debugging knowledge on performance bottlenecks in AI pipelines
Experience in deriving data movement costs on Edge platforms
Our non-discrimination policy applies to all aspects of employment.
Our pay transparency policy is available here.
Sandisk thrives on the power and potential of diversity.

The salary range is what we believe to be the range of possible compensation for this role at the time of this posting.
We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York.
You will be eligible to participate in Sandisk's Short-Term Incentive (STI) Plan, which provides incentive awards based on Company and individual performance.
Depending on your role and your performance, you may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable.
The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations.

This listing is sourced directly from Sandisk's careers page and normalized into a canonical job model.