Staff Engineer, system design engineering at Sandisk

Milpitas, California, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Sep, 26

Salary

171914.0

Posted On

13 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Infrastructure Design, Performance Benchmarking, GPU Computing, Python, C/C++, Shell Scripting, Linux, System Architecture, Distributed Inference, Profiling Tools, NVLink/NVSwitch, PCIe/NVMe SSD, Vector DB, KV Cache, Data Pipeline Optimization, Performance Tuning

Industry

Semiconductor Manufacturing

Description

Company 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. Job Description 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 AI, multimodal AI, recommendation systems, and Image/Video Generation workloads. Responsibilities include selecting and optimizing benchmark frameworks, configuring AI software stacks, validating hardware and software performance, analyzing bottlenecks across compute, memory, storage, and networking subsystems, and generating detailed performance reports with actionable insights. The candidate will evaluate AI workloads across different hardware configurations such as GPUs, CPUs, accelerators, high-speed interconnects, NVLink/NVSwitch fabrics, storage architectures, and network fabrics to compare scalability, latency, throughput, power efficiency, and cost-performance metrics. The role also involves collaborating with internal and external partners to enable emerging AI models, benchmark suites, and infrastructure technologies, while ensuring reproducibility, automation, and continuous benchmarking capabilities within AI lab environments. Strong analytical, scripting, and performance tuning skills are essential, along with hands-on experience in AI frameworks, GPU computing, distributed inference environments, and performance monitoring tools. Essential Duties and Responsibilities: •Design & Validate AI Infrastructure for Benchmarks •Analysis of Benchmarks for End-to-end AI Infrastructure and 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 Research and implement innovative ways to validate PCIe/NVMe SSD debug infrastructure. Work with cross-functional teams for POC and architecture discussions for validation infrastructure. Qualifications Required: 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. Skills: 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 Additional Information 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 [email protected] 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. Based on our experience, we anticipate that the application deadline will be 08/12/2026 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. #LI-KH1 Compensation & Benefits Details An employee’s pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. You will be eligible to participate in Sandisk's Short-Term Incentive (STI) Plan, which provides incentive awards based on Company and individual performance. Depending on your role and your performance, you may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Sandisk's Standard Terms and Conditions for Restricted Stock Unit Awards. We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program, employee stock purchase plan, and the Sandisk's Savings 401(k) Plan. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. Salary Range: 103,811.00-171,914.00 Job Type (exemption status): Exempt position - Please see related compensation & benefits details below Business Function: Systems Design Engineering Work Location: Milpitas Office--LOC_WDT_USCA25

Responsibilities

Design and implement comprehensive benchmark tests for AI infrastructure platforms, including GPU systems and rack-scale deployments. Analyze performance bottlenecks across compute, memory, storage, and networking to optimize AI workloads and data pipelines.