Sr. Technologist – AI Systems & Performance Lab
Listed on 2026-07-18
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IT/Tech
Systems Engineer, AI Engineer (Applied/Software)
Sr. Technologist – AI Systems & Performance Lab
- Full-time
- Salary Range:
- - Job Type (exemption status):
Exempt position - Please see related compensation & benefits details below - Business Function:
Memory Systems Design
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.
We are seeking an experienced and visionary Sr. Technologist to join our organization in Milpitas, United States. This role is director‑equivalent in scope and impact, with a strong emphasis on technical leadership and hands‑on innovation rather than large team management.
In this pivotal role, you will establish and lead an AI Systems & Performance Lab focused on identifying and eliminating AI bottlenecks across real‑world workloads, software stacks, and diverse hardware configurations. You will define the lab’s technical vision, develop rigorous methodologies, and deliver insights that directly influence system architecture, platform strategy, and future hardware designs.
The ideal candidate brings deep expertise in AI workloads and system performance, paired with the ability to translate complex technical findings into clear architectural and business impact.
Essential Duties and Responsibilities AI Lab Vision & Technical Leadership- Establish and articulate a clear technical vision and charter for the AI Lab, focused on AI workload characterization and performance bottleneck analysis.
- Define the research agenda, success metrics, and execution model aligned with organizational objectives and future technology directions.
- Serve as the technical authority for AI systems performance and workload analysis.
- Drive end‑to‑end analysis of AI training and inference workloads, spanning models, frameworks, runtimes, and full system stacks.
- Identify performance bottlenecks across compute, memory hierarchy, interconnects, storage, power, and software layers.
- Develop repeatable methodologies for root‑cause analysis across heterogeneous platforms (CPU, GPU, NPU, and custom accelerators).
- Architect and oversee the development of benchmarking, profiling, and workload characterization frameworks.
- Evaluate AI performance across multiple hardware configurations and system topologies, ensuring rigor, reproducibility, and scalability.
- Establish best practices for performance measurement, regression tracking, and comparative analysis.
- Partner closely with hardware, platform, and system architecture teams to translate workload insights into actionable design recommendations.
- Collaborate with AI software, product, and business teams to ensure performance findings inform roadmap and investment decisions.
- Influence next‑generation system and silicon direction using data‑driven insights from real workloads.
- Provide technical mentorship and guidance to a small, highly skilled team of engineers and researchers.
- Drive thought leadership through internal publications, external papers, or patents in AI systems and performance engineering.
- Represent the AI Lab in technical reviews, architecture forums, and executive briefings.
- Ensure AI performance research…
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