A System Architect focusing on advanced memory technology and AI Inference solution infrastructure will lead the definition of system level solutions with emphasis on compute memory bottlenecks, bandwidth and latency management. The job also requires analyzing workload requirements and mapping them to hardware technologies and architecture while optimizing performance, power efficiency, and scalability.
Such an architect works at the intersection of chiplet design, SoC, and software co-design.
- Architecture Design and Specifications: focus on system level architecture that is co-optimized with Software
- Performance and Power Optimization: Developing system level performance and power models with the ability to assist in making customer specific trade-offs
- Workload Analysis: Mapping AI/ML models to hardware requirements
- Hardware/Software Co-design: Collaborate with software and hardware teams to ensure seamless integration of memory subsystems, cache hierarchies, and system interconnects
- Advanced Memory solutions: Explore novel technologies and architectures such as in-memory and near-memory computing, and innovative packaging solutions.
- Technical leadership: Able to guide design teams, produce technical documentation, IP designs, and clearly articulate and drive key concepts to a broad technical audience.
- Master's or Ph.D. in Electrical Engineering, Computer Engineering, or Computer Science
- 10+ years in System Architecture, SoC Design, and memory system development.
- Deep knowledge of various memory technologies including DRAM, DDR, LPDDR, GDDR, NAND
- An good understanding of AI accelerators, GPU, and Neural Processing Engines
- Proficiency in C/C++, Python, RTL design, and system-level modeling
- Strong working knowledge of various interconnect technologies including PCIe, CXL, NoCs, ethernet, RDMA
- Excellent communication skills, demonstrated ability to influence key stakeholders, and mentorship capabilities.
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Based on our experience, we anticipate that the application deadline will be 11/03/2026 (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.
- 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. Required:
- Master's or Ph.D. in Electrical Engineering, Computer Engineering, or Computer Science
- 10+ years in System Architecture, SoC Design, and memory system development.
- Deep knowledge of various memory technologies including DRAM, DDR, LPDDR, GDDR, NAND
- An good understanding of AI accelerators, GPU, and Neural Processing Engines
- Proficiency in C/C++, Python, RTL design, and system-level modeling
- Strong working knowledge of various interconnect technologies including PCIe, CXL, NoCs, ethernet, RDMA
- Excellent communication skills, demonstrated ability to influence key stakeholders, and mentorship capabilities. A System Architect focusing on advanced memory technology and AI Inference solution infrastructure will lead the definition of system level solutions with emphasis on compute memory bottlenecks, bandwidth and latency management. The job also requires analyzing workload requirements and mapping them to hardware technologies and architecture while optimizing performance, power efficiency, and scalability. Such an architect works at the intersection of chiplet design, SoC, and software co-design.
- Architecture Design and Specifications: focus on system level architecture that is co-optimized with Software
- Performance and Power Optimization: Developing system level performance and power models with the ability to assist in making customer specific trade-offs
- Workload Analysis: Mapping AI/ML models to hardware requirements
- Hardware/Software Co-design: Collaborate with software and hardware teams to ensure seamless integration of memory subsystems, cache hierarchies, and system interconnects
- Advanced Memory solutions: Explore novel technologies and architectures such as in-memory and near-memory computing, and innovative packaging solutions.
- Technical leadership: Able to guide design teams, produce technical documentation, IP designs, and clearly articulate and drive key concepts to a broad technical audience.