Job description

We're building AI agents that automate complex semiconductor engineering workflows. We're looking for a Staff Engineer with strong technical fundamentals, semiconductor domain knowledge, and AI/ML understanding to help shape both the agents and the platform that powers them. This role is for someone who understands the problems before reaching for solutions. You'll design agentic systems that reason, plan, and use tools to solve real problems - then build the infrastructure to deploy them reliably at scale. Essential Duties and Responsibilities: - Design and build AI agents that automate multi-step semiconductor workflows - Develop the Agent Platform: orchestration, tool integration, observability, and evaluation infrastructure - Work closely with design and verification engineers to deeply understand pain points and identify high-impact automation opportunities - Create techniques for grounding agents in domain knowledge - specifications, design rules, verification intent - Build rigorous evaluation frameworks that measure agent reliability, correctness, and safety - Debug hard problems across the stack - from model behavior to infrastructure to domain-specific edge cases - Ship systems that work reliably, not just impressive demos Required: - Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field - 3+ years of industry experience - Experience in or familiarity with semiconductor or EDA: RTL design, verification, physical design, or EDA tool development - Foundational understanding of AI/ML: how models work, training, and evaluation - Strong programming skills and ability to build robust, production-quality systems - Systems thinking - you can reason about complex problems and diagnose subtle issues - Clear communication skills - you can bridge the gap between different technical domains Preferred: - PhD in EE, CE, CS, or related field - Deep expertise in specific semiconductor domains: verification methodologies, synthesis, timing closure, DFT - Deep expertise in AI/ML: model architectures, NLP, or reinforcement learning - Hands-on experience with LLMs, RAG architectures, or agentic systems - Experience with EDA tool internals or automation scripting - Publications or significant projects in semiconductor or AI/ML 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. Based on our experience, we anticipate that the application deadline will be 06/12/2026 (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-TS1 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.

Requirements

Must-haves

Design and build AI agents that automate multi-step semiconductor workflows
Develop the Agent Platform: orchestration, tool integration, observability, and evaluation infrastructure
Work closely with design and verification engineers to deeply understand pain points and identify high-impact automation opportunities
Create techniques for grounding agents in domain knowledge - specifications, design rules, verification intent
Build rigorous evaluation frameworks that measure agent reliability, correctness, and safety
Debug hard problems across the stack - from model behavior to infrastructure to domain-specific edge cases
Ship systems that work reliably, not just impressive demos
Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field
3+ years of industry experience
Experience in or familiarity with semiconductor or EDA: RTL design, verification, physical design, or EDA tool development
Foundational understanding of AI/ML: how models work, training, and evaluation
Strong programming skills and ability to build robust, production-quality systems
Systems thinking - you can reason about complex problems and diagnose subtle issues
Clear communication skills - you can bridge the gap between different technical domains
Compensation & Benefits Details

Nice-to-haves

PhD in EE, CE, CS, or related field
Deep expertise in specific semiconductor domains: verification methodologies, synthesis, timing closure, DFT
Deep expertise in AI/ML: model architectures, NLP, or reinforcement learning
Hands-on experience with LLMs, RAG architectures, or agentic systems
Experience with EDA tool internals or automation scripting
Publications or significant projects in semiconductor or AI/ML

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiml

Platform: smartrecruiters
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)