United States, California, Physical Scientist jobs

Essential Responsibilities:

• Lead and manage data science projects, ensuring timely delivery and alignment with business goals.
• Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making.
• Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives.
• Collaborate with cross-functional teams to understand data needs and provide actionable insights.
• Ensure data quality and integrity through regular audits and validation processes.
• Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.

Expected Qualifications:

• 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

• At least 7 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
• At least 3 years of experience in managing analytics teams
• Data driven mindset with a Master’s or Ph.D. degree in any quantitative discipline such as Analytics, Engineering, Computer Science, Economics, Statistics or Mathematics
• Experience in Advanced Analytics: Causal Inference and ML models.
• Fluent in SQL and Python
• Experience analyzing very large, complex, multi-dimensional data set
• Experience with one or multiple of the following will be highly desirable; Jupyter Notebooks, Teradata, Hadoop/Hive, BigQuery
• Domain expertise in payments or other financial services
• Exceptional communication skills, both written and verbal, to influence cross-functional teams
• Prior work experience in a product analytics space would be highly valued
• A passion for problem-solving and comfort with ambiguity

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

Belonging at PayPal:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Lead the development and implementation of advanced data science models.
• Collaborate with stakeholders to understand requirements.
• Drive best practices in data science.
• Ensure data quality and integrity in all processes.
• Mentor and guide junior data scientists.
• Stay updated with the latest trends in data science.

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

• Develop, refine, and implement credit risk strategies using advanced analytics and unit economics to guide smart, profitable lending decisions
• Take ownership of key performance indicators (KPIs) and metrics related to credit risk for new accounts and applications
• Monitor key portfolio metrics and segment-level performance to identify and address emerging credit risks proactively
• Partner cross-functionally with teams including Machine Learning, Fraud, Compliance, Legal, Marketing, Product, Engineering, Bank Partners, and more to align risk strategies with customer and business objectives
• Effectively communicate complex findings and strategy recommendations to both technical and non-technical audiences
• Lead end-to-end project execution with minimal assistance as a credit risk expert
• Keep up-to-date with industry trends, best practices, and emerging risks related to commercial lending

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

Belonging at PayPal:

Any general requests for consideration of your skills, please

Physical Design Implementation

• Execute complete physical design flow for custom CPU designs from RTL to GDS, creating manufacturing-ready design databases
• Perform synthesis, place and route, clock tree synthesis, floorplanning, and power/clock distribution for complex CPU cores
• Conduct static timing analysis, reliability analysis, and power/noise analysis for high-performance processor designs
• Optimize CPU designs to improve critical product parameters including power, frequency, and area

Verification & Signoff

• Execute comprehensive verification and signoff processes including formal equivalence verification and static timing analysis
• Perform reliability verification, static and dynamic power integrity analysis, and layout verification
• Conduct electrical rule checking (ERC) and structural design checking to ensure manufacturing compliance
• Ensure design quality and manufacturability across all verification domains

CPU-Specific Expertise & Optimization

• Apply specialized knowledge in CPU structural and physical design including physical clock design and timing closure
• Perform coverage analysis, multiple power domain analysis, structured placement, and routing optimization
• Implement design-for-test (DFT) methodologies specific to CPU architectures
• Collaborate closely with logic, circuit, architecture, and design automation teams to optimize microarchitectures

Technology Leadership & Innovation

• Work with industry EDA vendors to build and enhance tool capabilities for high-speed, low-power synthesizable CPU design
• Analyze design results and provide recommendations to improve current and future CPU microarchitectures
• Participate in development and improvement of physical design methodologies and flow automation
• Drive adoption of advanced design techniques and emerging technologies

The Minimum qualifications are required to be initially considered for this position. Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / orschoolwork/classes/research.The preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or STEM-related field of study
• 2+ years of experience in VLSI circuit design and synthesis
• 1+ years of experience in static timing analysis
• 1+ years of experience in low power design methodologies
• Experience with physical design EDA tools (i.e. Synopsys, Cadence, Mentor Graphics)
• Experience with timing closure, power optimization, and signal integrity analysis

Preferred Qualifications

• Postgraduate degree (Master's/PhD) in Computer Engineering, Computer Science, Electrical Engineering, or STEM-related field of study
• Experience with x86 CPU architecture and Intel processor designs
• Experience with Tcl, Perl, Python Programming
• Experience in CPU microarchitecture and high-performance design principles

What We Offer

• Competitive compensation and comprehensive benefits
• Opportunity to work on industry-leading CPU architectures and technologies
• Access to cutting-edge EDA tools and advanced process technologies
• Collaboration with world-class CPU architects and design engineers
• Professional development and career advancement opportunities
• Direct impact on products powering global computing infrastructure

Weoffer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here:

E-Core CPUs are the industry-leading performance-per-watt CPU that helps:

• Power the latest Intel laptops, desktops, and high-end gaming platforms.
• Drive 5G communications by serving as the base station that delivers essential data from your electronic devices across the world at maximum bandwidth.
• Create Artificial Intelligence (AI) and machine learning devices.
• Enable a full virtual learning experience for students using the latest Google Chromebooks.

Who You Are

As a CAD Physical Design Engineer in the E-core CPU group, you will be responsible for:

• Developing, debugging, and supporting tools, flows, and methodologies covering backend physical design methodologies and flow automation for high-performance blocks and full chip level using RTL2GDS standard cell level design techniques.
• Performing analysis of either synthesis, place and route, floor planning or signoff for static timing analysis on timing paths, formal equivalence verification, power consumption, electrical rule checking, and circuit reliability to identify key issues.
• Working closely with design teams to understand and debug tool issues and constraints.
• Working with industry EDA vendors to build and enhance tool capabilities to design a high-speed, low-power synthesizable CPU.
• Creating documentation and helping with guidelines/specs.
• Communicating with other team members to solve problems and following solutions through to completion. Excellent verbal and written English communication skills.

You must possess the minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidatesRelevant experience can be obtained through schoolwork, classes, project work, internships, and/or military experience.

Minimum Qualifications

• Bachelor's Degree in Computer Engineering and/or Electrical Engineering and 4+ years of relevant working experience OR Master's Degree in Computer Engineering and/or Electrical Engineering in Computer Engineering and/or Electrical Engineering and 3+ years of experience
• 1+ years of experience in hardware design and engineering, such as VLSI, design automation algorithms, and transistor-level design
• 1+ years' experience with Python, Perl, and/or Tcl scripting languages.

Preferred Qualifications

• 1+ years of relevant working experience in microprocessor or other high speed design backend design.
• 1+ years of experience using industry standard Engineering Design Automation (EDA) VLSI tools/flows from vendors such as Synopsys, Cadence and/or Mentor Graphics for performing synthesis, place-and-route, extraction, timing/power analysis and functional verification.
• Experience with timing closure methodology for worst-case corner (static timing analysis / STA, statistical variation analysis, spice circuit simulation, ERC, noise analysis flows, cross talk, OCV effects, budget constraints)

offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here:

Physical Design Implementation

• Execute complete physical design flow for custom CPU designs from RTL to GDS, creating manufacturing-ready design databases
• Perform synthesis, place and route, clock tree synthesis, floorplanning, and power/clock distribution for complex

CPU Cores

• Conduct static timing analysis, reliability analysis, and power/noise analysis for high-performance processor designs
• Optimize CPU designs to improve critical product parameters including power, frequency, and area

Verification & Signoff

• Execute comprehensive verification and signoff processes including formal equivalence verification and static timing analysis
• Perform reliability verification, static and dynamic power integrity analysis, and layout verification
• Conduct electrical rule checking (ERC) and structural design checking to ensure manufacturing compliance
• Ensure design quality and manufacturability across all verification domains

CPU-Specific Expertise & Optimization

• Apply specialized knowledge in CPU structural and physical design including physical clock design and timing closure
• Perform coverage analysis, multiple power domain analysis, structured placement, and routing optimization
• Implement design-for-test (DFT) methodologies specific to CPU architectures
• Collaborate closely with logic, circuit, architecture, and design automation teams to optimize microarchitectures

Technology Leadership & Innovation

• Work with industry EDA vendors to build and enhance tool capabilities for high-speed, low-power synthesizable CPU design
• Analyze design results and provide recommendations to improve current and future CPU microarchitectures
• Participate in development and improvement of physical design methodologies and flow automation
• Drive adoption of advanced design techniques and emerging technologies

The Minimum qualifications are required to be initially considered for this position. Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / orschoolwork/classes/research.The preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or STEM-related field of study
• 5+ years of experience in VLSI circuit design and synthesis
• 4+ years of experience in static timing analysis
• 4+ years of experience in low power design methodologies
• Experience with physical design EDA tools (i.e. Synopsys, Cadence, Mentor Graphics)
• Experience with timing closure, power optimization, and signal integrity analysis

Preferred Qualifications

• Postgraduate degree (Master's/PhD) in Computer Engineering, Computer Science, Electrical Engineering, or STEM-related field of study
• Experience with x86 CPU architecture and Intel processor designs
• Experience with Tcl, Perl, Python Programming
• Experience in CPU microarchitecture and high-performance design principles

What We Offer

• Competitive compensation and comprehensive benefits
• Opportunity to work on industry-leading CPU architectures and technologies
• Access to cutting-edge EDA tools and advanced process technologies
• Collaboration with world-class CPU architects and design engineers
• Professional development and career advancement opportunities
• Direct impact on products powering global computing infrastructure

Weoffer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here:

KEY RESPONSIBILITIES:

• Assist in the design and development of AI-driven solutions, including methods, processes, and systems for analyzing structured and unstructured data from diverse sources.
• Support machine learning model development, including data preprocessing, feature engineering, and evaluation using Python and modern AI frameworks
• Collaborate with internal stakeholders to gather requirements and translate them into AI solutions that address business needs.
• Contribute to large language model (LLM) integration, and prompt engineering for enterprise applications.
• Develop and maintain data pipelines and automation scripts for model training and deployment, leveraging SQL and Python.
• Participate in AI experimentation and prototyping, including testing new algorithms and approaches for improving performance and scalability.
• Ensure timely delivery of AI-enabled tools and insights to support decision-making and operational efficiency.

Technical Skills

• Programming & Scripting: Proficiency in Python for data preprocessing, feature engineering, and automation; basic SQL for data queries
• Machine Learning Fundamentals: Strong understanding ofsupervised/unsupervisedlearning, model evaluation, and optimization
• AI Frameworks: Exposure to TensorFlow, PyTorch, or Scikit-learn for building and testing models
• Data Analysis: Hands-on experience with Pandas, NumPy; ability to clean and manipulatestructured/unstructureddata
• Large Language Models (LLMs): Familiarity with prompt engineering and integration concepts
• Data Pipelines: Basic knowledge of ETL processes and workflow automation
• Experimentation & Prototyping: Ability to test algorithms and iterate quickly
• Cloud Concepts: Awareness of AWS/Azure/GCP for deployment (coursework or projects)
• NLP Basics: Text preprocessing, embeddings, and semantic search fundamentals

Soft Skills

• Creative Problem-Solving: Innovative approach to challenges and solution design and a passion for exploring new AI techniques and tools
• Rapid Iteration Mindset: Comfortable with fast-paced prototyping and adapting based on feedback
• Collaboration & Communication: Ability to work with cross-functional teams and explain technical concepts clearly

REQUIREMENTS/EDUCATION:

• Master's Degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, Physics, Cognitive Science or a related field.
• Exposure to large language models (LLMs), prompt engineering, or natural language processing concepts.
• Experience working with structured and unstructured data, including data cleaning and feature engineering.
• Understanding of cloud computing concepts (AWS, Azure, or GCP) through academic projects or professional experience.
• Ability to communicate in writing and through presentations and a desire to evangelize AI concepts.
• Prior internship, research, or project experience in AI, automation, or data-driven solutions is preferred.

Applications will be reviewed on a rolling basis. Please apply by January 30, 2026. Note: This position may close early based on application volume or candidate selection.

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Career

As a Staff AI Scientist for Enterprise AI Solutions, you will be a critical technical leader responsible for the hands-on design, development, and implementation of AI-powered solutions that solve challenging business problems across IT and various enterprise functions (Sales, Marketing, Finance, HR, Legal, etc.). You will work closely with Principal and Distinguished Architects to translate high-level strategies into concrete AI solution designs and robust, scalable, and ethical implementations. This role demands deep technical expertise, a strong ability to solve complex problems, and a commitment to mentoring other engineers, leveraging our Enterprise AI Platform to deliver measurable business impact

Your Impact

• AI Solution Implementation: Lead the design and implementation of AI solutions, translating business problems into AI designs, and managing model selection, data requirements, and integration for AI applications.
• Platform Development: Develop and implement core components of the enterprise AI/ML platform, ensuring scalability and security. Contribute to the lifecycle of traditional and Generative AI model deployment and real-time inference systems.
• System Optimization: Design and optimize large-scale AI/ML systems for performance, reliability, and developer-friendliness, focusing on low latency and high throughput in real-time AI applications.
• Technology Adoption: Evaluate and integrate new AI tools, frameworks, and cloud solutions, aligning with architectural guidelines. Lead POCs for emerging AI innovations.
• Architectural Best Practices: Champion design standards and best practices for AI systems, guiding junior engineers.
• Technical Leadership: Mentor AI/ML engineers, lead design discussions, and perform code reviews, fostering engineering excellence.
• Cross-Functional Collaboration: Partner with Data Scientists, ML Engineers, Product Managers, and IT stakeholders to develop production-grade AI solutions.
• Responsible AI & Quality: Ensure AI systems comply with responsible AI principles and security policies. Implement automated testing and monitoring.
• Innovation & Research: Apply cutting-edge AI/ML techniques to solve problems and improve solutions, staying updated on advancements in Generative AI and LLMs.

Your Experience

• 8+ years in software engineering, with 5+ years in Data science/AI/ML experience.

• Experience deploying enterprise AI/ML systems.

• Understanding of the AI lifecycle.

• Experience with distributed systems and streaming data.

• Hands-on experience with Generative AI and LLMs.

• Proficiency in AI/ML frameworks and cloud platforms.

• Strong programming skills (Python and C++).

• Excellent communication skills.

• Masters/Bachelors degree in Computer Science or related field.

Preferred Qualifications:

• PhD degree in Computer Science , Applied Mathematics , Machine Learning or related computation field.

• Experience with open-source AI projects.

• Prior technical lead role for AI/ML projects.

• Familiarity with cybersecurity principles for AI.

What we are looking for?

• Deep Technical Expertise: Strong foundation in machine learning (theory and application), deep learning, statistical modeling, and relevant programming languages (Python, R) and libraries (TensorFlow, PyTorch, scikit-learn).

• Proven Research & Innovation: Track record of conceiving and executing novel research, publishing in top-tier conferences/journals, or delivering innovative AI solutions with significant business impact.

• System Design & Scalability: Ability to design, build, and deploy scalable and robust AI systems. Understanding of MLOps and data engineering principles.

• Problem Solving & Critical Thinking: Excellent analytical skills to tackle complex, ambiguous problems and break them down into manageable parts.

• Leadership & Mentorship: Experience in leading projects, guiding junior team members, and influencing technical direction.

• Communication & Collaboration: Ability to clearly communicate complex technical concepts to diverse audiences (technical and non-technical) and collaborate effectively with cross-functional teams.

• Business Acumen & Impact Focus: Understanding of how AI can drive business value and ability to translate research/technical work into tangible outcomes.

• Continuous Learning: Passion for staying up-to-date with the latest advancements in AI.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $165,000 - $250,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.