Sandisk
Technology
StaffEngineer,systemdesignengineering
Neural analysis suggests this role is
optimal for mid candidates.
“Staff Engineer, system design engineering at Sandisk. Skills: AI infrastructure, Benchmark tests, Performance validation, LLM inference. Design benchmark tests. Define benchmark tests”
Industry & Context.
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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