ASIC Gen-AI Data Scientist — Folsom, CA

Our vision is to transform how the world uses information to enrich life for all.

D2yGCt ueJz5HZzjb is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Our vision is to transform how the world uses information to enrich life for all.

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

D2yGCt ueJz5HZzjb is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever!

As part of the ASIC Technical Products Engineering organization, you will help drive the development of next-generation GenAI, machine learning, and advanced data analytics solutions for semiconductor engineering. In this role, you will work on intelligent systems that improve engineering productivity, strengthen technical decision-making, and unlock insights from complex ASIC pre and post silicon engineering workflows.

You will collaborate with cross-functional teams across System Architecture, Logic Design, Analog/Mixed-Signal Design, Data Science and IT to prototype, build, and scale practical AI-driven solutions that improve quality, cost, cycle time, and engineering efficiency.

Key Responsibilities

• GenAI System Development: Design, build, and improve GenAI-powered and agentic systems supporting ASIC semiconductor engineering workflows such as code generation, data extraction, analytics, documentation automation, failure triage, root cause analysis, and technical knowledge retrieval.

• LLM Workflow Engineering: Build, evaluate, and optimize LLM-based workflows, including prompting, developing skills, retrieval-augmented generation (RAG and Graph-RAG), benchmarking, and quality evaluation.

• Machine Learning Production: Develop and implement machine learning and deep learning models for classification, regression, anomaly detection, failure analysis, and engineering decision support.

• Cross-Functional Collaboration: Partner with domain experts and cross-functional teams to translate complex engineering problems into scalable AI/ML and analytics solutions.

• Production Deployment: Support deployment, monitoring, and operationalization of AI/ML solutions in cloud and enterprise environments.

• Technical Communication: Communicate technical findings, recommendations, and model outcomes clearly to both technical and non-technical stakeholders.

• Innovation Leadership: Identify and drive high-impact opportunities where GenAI, machine learning, and analytics can improve engineering productivity and business outcomes!

Minimum Qualifications

• Bachelor's with 10+ years or Master’s degree with 8+ in Electrical Engineering, Computer Science, Data Science, Statistics, Artificial Intelligence, or a related field

• Minimum 4 years of hands-on experience developing and deploying AI applications in semiconductors, electronics, or other engineering industries.

• Strong programming proficiency in Python.

• Familiarity with modern AI coding tools / agentic coding harnesses, such as Claude Code, Cursor, Gemini CLI, or similar tools.

• Practical experience in developing and implementing AI/ML systems involving LLMs, including RAG, agentic workflows, and frameworks.

Preferred Qualifications

• Experience building agentic systems or AI solutions for ASIC semiconductor pre-silicon and post-silicon workflows.

• Deep understanding of semiconductor-specific AI/ML applications

• Cloud experience with GCP, AWS, or Azure, including deploying ML pipelines in production.

• Experience with LLM training, inference, and evaluation workflows, including prompt design, benchmarking, validation, or retrieval-augmented systems.

• Experience with data analytics and visualization to deliver actionable engineering insights using tools and libraries such as pandas, scikit-learn, matplotlib, plotly, or similar ecosystems.

• Experience with web application technologies such as JavaScript, HTML, and CSS.

• Experience designing scalable, enterprise-grade AI/ML systems with attention to reliability, traceability, and operational readiness.

• Familiarity with document-processing pipelines, technical knowledge platforms, or retrieval systems for engineering content.

• Experience working in multi-functional environments spanning systems architecture, engineering, data science, and IT.

The US base salary range that D2yGCt ueJz5HZzjb estimates it could pay for this full-time position is:

$145,000.00 - $336,000.00 a year

Additional Compensation May Include Benefits, Bonuses And Equity.

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

As a world leader in the semiconductor industry, QfhGfy is dedicated to your personal wellbeing and professional growth. QfhGfy benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. QfhGfy also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, QfhGfy benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on ••••••••

QfhGfy is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

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qnECSH 6YTJ3WhPN the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

QfhGfy does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with QfhGfy.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

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