This is a hybrid role based thrice a week in Cisco's San Jose, CA office.
Meet The Team
We are seeking a highly skilled AI Data Scientist / Data Analyst to join our Silicon One Hardware Engineering team. In this role, you will leverage sophisticated analytics, machine learning, and AI agent technologies to drive yield analysis, debug, and predictive modeling for our semiconductor manufacturing processes. Your work will directly impact product quality, test cost, manufacturing efficiency, and time-to-market for Cisco’s industry-leading silicon solutions.
Your Impact
- Develop, deploy, and maintain AI/ML models for yield analysis, yield debug, and early-stage failure prediction in semiconductor manufacturing.
- Build and optimize AI agents to automate data-driven root cause analysis and yield improvement initiatives.
- Analyze large-scale manufacturing, test, and parametric datasets to identify trends, anomalies, and actionable insights.
- Collaborate with hardware, test, and process engineering teams to translate business and technical requirements into robust data science solutions.
- Design and implement predictive models to forecast yield and quality metrics at various stages of the manufacturing flow.
- Communicate findings and recommendations to multi-functional teams through clear visualizations, reports, and presentations.
- Stay current with the latest advancements in AI/ML, data analytics, and semiconductor manufacturing best practices.
- Excellent problem-solving, communication, and teamwork skills.
Minimum Qualifications
- MS or PhD in Computer Science, Electrical Engineering, Data Science, Statistics, or a related field.
- 8+ years of experience in data science, machine learning, or data analytics, preferably in semiconductor or hardware engineering environments.
- Strong proficiency in Python and data science libraries (e.g., pandas, scikit-learn, XGBoost, TensorFlow, PyTorch).
- Experience building, validating, and deploying AI/ML models for classification, regression, anomaly detection, and time-series forecasting.
- Hands-on experience with AI agent frameworks and automation of data analysis workflows.
- Solid understanding of semiconductor manufacturing, test data, and yield analysis concepts.
- Experience with data visualization tools (e.g., matplotlib, seaborn, Tableau, Power BI).
Preferred Qualifications
- Experience with cloud-based data platforms (e.g., AWS, GCP, Azure) and big data technologies.
- Familiarity with Optuna or other hyperparameter optimization frameworks.
- Knowledge of hardware debug, root cause analysis, and reliability engineering.
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
Message to applicants applying to work in the U.S. and/or Canada:The starting salary range posted for this position is $186,900.00 to $267,700.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.
U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.
U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies:
10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees
1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco
Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees
Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)
80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next
Additional paid time away may be requested to deal with critical or emergency issues for family members
Optional 10 paid days per full calendar year to volunteer
For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:
.75% of incentive target for each 1% of revenue attainment up to 50% of quota;
1.5% of incentive target for each 1% of attainment between 50% and 75%;
1% of incentive target for each 1% of attainment between 75% and 100%; and
Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
The applicable full salary ranges for this position, by specific state, are listed below:
New York City Metro Area:
$186,900.00 - $307,800.00Non-Metro New York state & Washington state:
$166,300.00 - $274,100.00* For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.
** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.
Skills Required
- MS or PhD in Computer Science, Electrical Engineering, Data Science, Statistics, or a related field
- 8+ years of experience in data science, machine learning, or data analytics
- Strong proficiency in Python and data science libraries such as pandas, scikit-learn, XGBoost, TensorFlow, or PyTorch
- Experience building, validating, and deploying AI/ML models for classification, regression, anomaly detection, and time-series forecasting
- Hands-on experience with AI agent frameworks and automation of data analysis workflows
- Understanding of semiconductor manufacturing, test data, and yield analysis concepts
- Experience with data visualization tools such as matplotlib, seaborn, Tableau, or Power BI
- Experience with cloud-based data platforms such as AWS, GCP, or Azure and big data technologies
- Familiarity with Optuna or other hyperparameter optimization frameworks
- Knowledge of hardware debugging, root cause analysis, and reliability engineering
Cisco Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cisco and has not been reviewed or approved by Cisco.
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Healthcare Strength — Health coverage is described as broad, with medical options including PPOs, high-deductible plans, and regional HMOs. Feedback suggests robust wellness and mental-health resources, with some locations offering on-site support and second medical opinions.
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Leave & Time Off Breadth — Time off is highlighted through paid holidays, paid time off, and additional recharge days such as “Days for Me,” with generous volunteer time also mentioned. Feedback suggests these programs help support rest, volunteering, and critical life events.
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Parental & Family Support — Parental and family support appears extensive, including paid child-bonding leave, family medical leave, and caregiving resources. Observations also point to family-planning assistance and adoption or surrogacy support in some regions.
Cisco Insights
What We Do
Cisco (NASDAQ: CSCO) enables people to make powerful connections--whether in business, education, philanthropy, or creativity. Cisco hardware, software, and service offerings are used to create the Internet solutions that make networks possible--providing easy access to information anywhere, at any time. Cisco was founded in 1984 by a small group of computer scientists from Stanford University. Since the company's inception, Cisco engineers have been leaders in the development of Internet Protocol (IP)-based networking technologies. Today, with more than 71,000 employees worldwide, this tradition of innovation continues with industry-leading products and solutions in the company's core development areas of routing and switching, as well as in advanced technologies such as home networking, IP telephony, optical networking, security, storage area networking, and wireless technology. In addition to its products, Cisco provides a broad range of service offerings, including technical support and advanced services. Cisco sells its products and services, both directly through its own sales force as well as through its channel partners, to large enterprises, commercial businesses, service providers, and consumers.







