Sandisk
Flash and advanced memory technologies
StaffAISystemsPerformanceEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Staff AI Systems Performance Engineer at Sandisk. Skills: AI Systems Performance, Benchmarking, AI Infrastructure, Performance Tuning. Design benchmark tests for AI infrastructure. Define benchmark tests for AI infrastructure”
What You'll Achieve.
Deliver solutions that enable today’s needs and tomorrow’s next big ideas; Enable people and businesses at the intersection of their aspirations and the moment; Ensure the global supply chain has access to the Flash memory it needs; Provide actionable insights from performance reports
Industry & Context.
Analytical skills; Analyze 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, 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.
Design benchmark tests for AI infrastructure
Define benchmark tests for AI infrastructure
Implement benchmark tests for AI infrastructure
Enable benchmark tests for AI infrastructure
Analyze benchmarks for AI infrastructure
Develop test environment for benchmark tests
Define benchmark tests for AI workloads
Perform benchmark tests for AI workloads
Evaluate GPU vs CPU vs storage bottlenecks
Research benchmarks for AI workloads
Innovate benchmarks for AI workloads
Design benchmarks for Vector DB
Design benchmarks for KV cache
Optimize Data pipelines for Inference
Optimize Data pipelines for training
Analyze Benchmark results
Document Benchmark results
Publish Benchmark results
Evaluate AI workloads across hardware configurations
Compare scalability metrics
Compare latency metrics
Compare throughput metrics
Compare power efficiency metrics
Compare cost-performance metrics
Collaborate with partners to enable AI models
Collaborate with partners to enable benchmark suites
Collaborate with partners to enable infrastructure technologies
Ensure reproducibility in AI lab environments
Ensure automation in AI lab environments
Ensure continuous benchmarking in AI lab environments
How You'll Work.
Team & Collaboration
Work closely with Marketing; Work closely with Product Management; Work closely with System Architecture teams; Collaborate with internal and 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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