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Added 21 mins ago
Principal or Sr Principal Systems Administrator - Workflow Engineer (AHT)
Northrop Grumman
Aurora
Northrop Grumman Space Systems Sector’s Central Region Software Engineering organization is seeking a Principal or Sr Principal Systems Administrator \- Workflow Engineer to support…
Added 21 mins ago
Architectural Facilities Engineer - Level 3 or 4
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Added 40 mins ago
Principal Systems Engineer
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Added 40 mins ago
Principal Systems Engineer
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KY · NC · GA · FL · IL · SC · NM · OH · TX · AZ · IN · TN
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Aurora, CO
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SanDisk

Principal Engineer - AI Systems & Performance Lab

Milpitas, CA, United States

$202,200.00 - $343,700.00

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Job details

Pay: $202,200.00 - $343,700.00
Experience: 15+ years of industry experience in systems engineering, AI infrastructure, performance engineering, computer architecture, or hardware/software co‑design.
Posting language: English
Posted: Oct 29, 2026

Original job description

General Information

Job Name

Principal Engineer - AI Systems & Performance Lab

Country/Region

United States of America

State

California

City

Milpitas

Work Location

Milpitas Office

Work Mode

Employees work on-site

Salary Range

$202,200.00 - $343,700.00

Exemption Status

Exempt

Business Function

Software Engineering

Employment Type

Full-time

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.

Description

We are seeking an experienced and visionary Principal Engineer 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. AI Workload & System Bottleneck 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). Benchmarking & Infrastructure Development
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. Cross‑Functional Influence
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. Technical Mentorship & Thought

Leadership:

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. Responsible AI & Governance
Ensure AI performance research and system recommendations align with responsible and ethical AI principles.
Incorporate considerations around efficiency, sustainability, and scalability into workload and system analysis.

REQUIRED:

Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, or a related technical field; Master’s or PhD strongly preferred.
15+ years of industry experience in systems engineering, AI infrastructure, performance engineering, computer architecture, or hardware/software co‑design.
Deep hands‑on experience with AI workloads (training and/or inference), including modern deep learning models and frameworks (e.g., PyTorch, TensorFlow, JAX, or equivalent).
Strong understanding of end‑to‑end system performance, including compute architectures, memory hierarchy, interconnects, storage, and software stacks.
Proven ability to identify, analyze, and root‑cause performance bottlenecks across heterogeneous systems (CPU, GPU, NPU, accelerators).
Demonstrated technical leadership with director‑level influence, driving strategy and outcomes without relying on large teams.
Experience translating complex technical findings into clear architectural recommendations and business‑relevant insights.
Excellent written and verbal communication skills, with experience presenting to senior technical and executive stakeholders.

Preferred

PhD or equivalent industry experience in AI systems, computer architecture, performance modeling, or large‑scale distributed systems.
Hands‑on experience with AI accelerators (e.g., GPUs, NPUs, custom silicon) and their software ecosystems.
Background in benchmarking, profiling, and workload characterization, including development of custom tools or frameworks.
Experience influencing platform, system, or silicon roadmaps using workload‑driven, data‑backed insights.
Familiarity with compiler stacks, runtimes, and low‑level performance analysis tools.
Track record of technical thought leadership, including patents, publications, standards contributions, or widely adopted internal frameworks.
Experience working across hardware, software, and product organizations in highly matrixed environments. Leadership & Role Fit
Comfortable operating as a senior technical authority with broad organizational influence and limited direct reports.
Demonstrated ability to build new technical capabilities from scratch, including labs, methodologies, and infrastructure.
Strong mentoring mindset, guiding senior and junior engineers through technical depth rather than formal management.
Pragmatic, results‑oriented approach with the ability to balance research rigor and product impact.

Compensation & Benefits

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.

Additional Information

Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate 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 Equal Employment Opportunity is the Law (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf) poster.

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.

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More about this job

Skills

Supply chain management
Leadership
Research
Root cause analysis
Computer engineering
Computer science
Electrical engineering
Deep learning
PyTorch
TensorFlow
Communication skills
Coaching

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