Sandisk
Technology
StaffEngineer,systemdesignengineering
Neural analysis suggests this role is
optimal for mid candidates.
“Staff Engineer, system design engineering at Sandisk. Skills: system design, AI infrastructure, performance characterization, benchmark development, performance analysis. 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. Translating business and customer use cases into measurable performance validation strategies. Developing benchmark proposals, definin”
What You'll Achieve.
Enable comprehensive benchmark tests for AI infrastructure platforms. Translate business and customer use cases into measurable performance validation strategies. Generate detailed performance reports with actionable insights. Ensure reproducibility, automation, and continuous benchmarking capabilities within AI lab environments.
Industry & Context.
system design; performance bottlenecks; system architectures; distributed systems
Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal" poster. Our pay transparency policy is available here. Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs. accommodations@sandisk. com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
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.
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.
Translating business and customer use cases into measurable performance validation strategies.
Developing benchmark proposals, defining evaluation methodologies, and executing performance studies for a wide range of AI applications.
Evaluating AI workloads across different hardware configurations to compare scalability, latency, throughput, power efficiency, and cost-performance metrics.
Collaborating with internal and external partners to enable emerging AI models, benchmark suites, and infrastructure technologies.
How You'll Work.
Team & Collaboration
Work closely with Marketing, Product Management and System Architecture teams. Collaborating with internal and external partners. Work with cross-functional teams for POC and architecture discussions for validation infrastructure.
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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