Sandisk
Technology
StaffEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Staff Engineer at Sandisk. Skills: AI infrastructure platforms, benchmark tests, performance validation, AI workloads, GPU computing, scripting, performance tuning, debugging. designing, defining, implementing, and enabling comprehensive benchmark tests for AI infrastructure platforms. developing benchmark proposals”
What You'll Achieve.
enable today’s needs and tomorrow’s next big ideas; keep moving and pushing possibility forward; ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward; measurable performance validation strategies; actionable insights
Industry & Context.
analyzing bottlenecks across compute, memory, storage, and networking subsystems; Debugging knowledge on performance bottlenecks in AI pipelines
What They're Looking For.
Must Have
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, 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
What You'll Do.
and enabling comprehensive benchmark tests for AI infrastructure platforms
developing benchmark proposals
defining evaluation methodologies
executing performance studies for a wide range of AI applications
selecting and optimizing benchmark frameworks
configuring AI software stacks
validating hardware and software performance
analyzing bottlenecks across compute
and networking subsystems
generating detailed performance reports with actionable insights
evaluating AI workloads across different hardware configurations
collaborating with internal and external partners to enable emerging AI models
and infrastructure technologies
ensuring reproducibility
and continuous benchmarking capabilities within AI lab environments
Design & Validate AI Infrastructure for Benchmarks
Analysis of Benchmarks for End-to-end AI Infrastructure
develop test environment for Benchmark tests
Define and Perform Benchmark tests for AI workloads on storage systems
Evaluate GPU vs CPU vs storage bottlenecks in AI pipelines
Research and innovate Benchmarks for AI workloads on storage specific to Inference & training for major models
Design Benchmarks for Vector DB & KV cache
Optimize Data pipelines for Inference and training
Analyze Benchmark results
document and publish with recommendations
How You'll Work.
Team & Collaboration
work closely with Marketing, Product Management and System Architecture teams; collaborating with internal and external partners
Communication Scope
generating detailed performance reports with actionable insights; document and publish with recommendations
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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