Sandisk

Technology

StaffEngineer,systemdesignengineering

$215–315k ~AI est. Milpitas, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Staff Engineer, system design engineering at Sandisk. Skills: AI infrastructure, Benchmark tests, Performance validation, LLM inference. Design benchmark tests. Define benchmark tests”

Industry & Context.

Technology
Problems you'll solve

Analyze bottlenecks; Troubleshooting

What They're Looking For.

Must Have

Bachelor's degree in Computer Science, 5+ years of experience, Master's degree in Computer Science, 2+ years of experience, Experience with different Operating Systems, Scripting and/or programming languages, AI Infrastructure & Hardware Awareness, Experience in Performance & Benchmarking, Debugging knowledge on performance bottlenecks, Experience in deriving data movement costs

What You'll Do.

Design benchmark tests

Define benchmark tests

Implement benchmark tests

Enable benchmark tests

Understand AI workloads

Understand system architectures

Understand performance methodologies

Work with Product Management

Work with System Architecture teams

Understand benchmark requirements

Develop benchmark proposals

Define evaluation methodologies

Execute performance studies

Select benchmark frameworks

Optimize benchmark frameworks

Configure AI software stacks

Validate hardware performance

Validate software performance

Analyze compute bottlenecks

Analyze memory bottlenecks

Analyze storage bottlenecks

Analyze networking bottlenecks

Generate performance reports

Evaluate AI workloads

Compare power efficiency

Compare cost-performance

Enable emerging AI models

Enable benchmark suites

Enable infrastructure technologies

Ensure reproducibility

Ensure continuous benchmarking

Research PCIe SSD debug

Implement PCIe SSD debug

Validate PCIe SSD debug

Work with cross-functional teams

Architecture discussions

How You'll Work.

Team & Collaboration

Cross-functional teams; Internal partners; External partners

Full Job Description

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. 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. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. The ideal candidate will be responsible for designing, defining, implementing, and enabling comprehensive benchmark tests for AI infrastructure platforms, including box-level GPU systems, multi-GPU servers, and GPU rack-scale deployments. This role requires a strong understanding of AI workloads, system architectures, and performance characterization methodologies across modern AI infrastructure environments. The individual will work closely with Marketing, Product Management and System Architecture teams to understand benchmark requirements and translate business and customer use cases into measurable performance validation strategies. The candidate will develop benchmark proposals, define evaluation methodologies, and execute performance studies for a wide range of AI applications, including Chat Assistants and LLM inference, Retrieval-Augmented Generation (RAG), Speech AI, Vision

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