Milpitas, CA

Data Jobs in Milpitas, CA

3 jobs found

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Today

Agentic AI Software Engineer - Equipment Data Analytics

KLA Milpitas, CA

Milpitas, CA

Today

$136k - $200k/yr Full time Backend Developer Agentic Ai Ai Agent

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Job Description

KLA is seeking an experienced Agentic AI Software Engineer to develop next-generation, AI-driven analytics and automation capabilities for advanced semiconductor manufacturing equipment. This onsite role in Milpitas, CA focuses on building agentic AI platforms that connect equipment data, hardware telemetry, machine diagnostics, and natural-language interfaces to improve performance, reliability, and productivity.

What You Will Do

Design and develop production-quality software for AI-driven equipment diagnostics, monitoring, and predictive maintenance.
Build and enhance Agentic AI frameworks that connect large language models (LLMs) with engineering and equipment data systems.
Create software components that integrate with hardware platforms, equipment telemetry streams, machine control systems, and manufacturing data sources.
Integrate AI capabilities with scalable data platforms, including streaming architectures, NoSQL databases, vector databases, and knowledge management systems.
Develop secure APIs, services, and orchestration layers to enable intelligent workflows and automated decision-making.
Implement high-performance data pipelines that convert equipment and operational data into actionable insights.
Develop user-focused experiences through modern web applications that streamline troubleshooting and equipment diagnostics.
Collaborate with software, systems, hardware, data science, and product engineering teams to deliver end-to-end solutions.
Deploy and support solutions that operate in highly secure, customer-controlled semiconductor manufacturing environments.
Own software design quality, testing strategy, and continuous improvement for the platform.

Required Qualifications

BS or MS in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related technical field.
5+ years of professional software engineering experience building production applications.
Strong programming skills in Python and at least one object-oriented language such as Java, C++, or C#.
Experience building scalable backend services, APIs, databases, and distributed software systems.
Experience with hardware-integrated software systems, including industrial equipment, manufacturing systems, instrumentation, embedded interfaces, controls software, telemetry systems, or IoT platforms.
Experience developing data-intensive applications using SQL, NoSQL, streaming platforms, or large-scale data processing technologies.
Familiarity with cloud-native development, CI/CD pipelines, source control, automated testing, and modern software engineering practices.
Strong analytical and troubleshooting skills, with the ability to work across multidisciplinary engineering teams.

Preferred Qualifications

Experience with semiconductor equipment, manufacturing systems, inspection systems, industrial automation, robotics, or scientific instrumentation.
Experience building applications using LLMs, Agentic AI frameworks, retrieval-augmented generation (RAG), tool/function calling, or AI orchestration frameworks.
Experience with vector databases, knowledge graphs, machine learning pipelines, or predictive analytics solutions.
Experience developing React-based user interfaces or modern web applications.
Knowledge of equipment diagnostics, predictive maintenance, reliability engineering, or operational analytics.
Experience deploying software in secure, disconnected, or air-gapped environments.

Technologies

Python, Java, C++, C#, LLMs
NoSQL, SQL, vector databases
Streaming architectures, knowledge management systems
CI/CD pipelines, APIs

Salary and Location

Location: Milpitas, CA (onsite)
Compensation: USD 136,300 to 199,900 per year

Minimum Qualifications (Education and Experience Equivalency)

Doctorate (Academic) Degree and 0 years related work experience; or
Master's Level Degree and 3 years related work experience; or
Bachelor's Level Degree and 5 years related work experience

Use of AI Statement

Use of AI, recording tools, or other technologies to generate, suggest, or provide responses during interviews, whether virtual or in person, is not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer.

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21d ago

Data Scientist - Decision Analytics

Payactiv, Inc. Milpitas, CA

Milpitas, CA

21d ago

$100k - $120k/yr Full time Analytics Artificial Intelligence Business Analytics

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Job Description

Payactiv, Inc. is looking for a Data Scientist to join the Decision Analytics team in Milpitas, CA, onsite. In this role, you will build end-to-end statistical and machine learning solutions that support forecasting, decisioning, risk, and analytics, working closely with stakeholders and engineering partners to deploy and monitor models and data pipelines.

What you’ll do

Own the full lifecycle of analytical solutions, spanning data exploration, feature engineering, model training and validation, deployment, and ongoing performance monitoring.
Develop and evaluate statistical and machine learning models, providing clear justification for methodology and model selection.
Write production-quality Python and SQL to work with multi-million-row datasets, with a focus on performance, accuracy, and reliability.
Convert ambiguous business questions into structured analyses and actionable recommendations for stakeholders.
Communicate analytical findings clearly, translating technical results into insights that inform business decisions.
Collaborate with data engineers on the design, validation, and maintenance of ETL processes and data pipelines to support data integrity, quality, and observability.
Keep current on emerging analytics, ML/AI, and cloud computing technologies, with strong advantage for familiarity with Snowflake and AWS SageMaker.

What you bring

Bachelor’s or Master’s degree in a quantitative discipline such as Data Science, Engineering, Statistics, Mathematics, Computer Science, Economics, etc.
1–3 years of experience in Data Science, Engineering, or a closely related role.
Proven proficiency in Python (pandas, NumPy, scikit-learn) and SQL, including data transformation, wrangling, and analysis on multi-million-row datasets.
Working knowledge of statistical modeling and machine learning fundamentals, including model selection trade-offs, data leakage, class imbalance, and validation methodology.
Hands-on experience across a range of modeling approaches, potentially including regression and generalized linear models, tree-based and ensemble methods, time series forecasting, clustering, or neural networks.
Solid understanding of relational databases, including writing performant queries, optimizing slow queries, and reasoning about schemas, joins, and query plans at production scale.
Ability to work independently and manage competing priorities with limited supervision.
Excellent communication skills for conveying complex findings to technical and non-technical audiences, with a proactive, curious, and detail-oriented mindset and strong problem-solving abilities.
Hands-on experience with business intelligence and visualization tools, including Sigma, Tableau, Looker, or Power BI.
Experience designing, validating, and maintaining ETL processes and data pipelines.

Technologies you may use

Python, pandas, NumPy, scikit-learn
SQL
Snowflake, AWS SageMaker
Sigma, Tableau, Looker, Power BI

Compensation and benefits

Salary range: USD 100,000–120,000 per year (based on experience) plus Bonus
Company sponsored Health, Dental, and Vision insurance
401K: traditional and Roth with a company match
Tuition Assistance or Tuition Reimbursement
Unlimited Paid Time off
Monthly Gym Reimbursement
Paid time off to volunteer
Paid Family Leave
Complimentary office lunches

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1mo ago

Data and Analytics Engineer

Payactiv, Inc. Milpitas, CA

Milpitas, CA

1mo ago Closed

$130k - $165k/yr Full time Analytics Business Analytics Business Intelligence

This position is no longer accepting applications (closed Sep 19, 2026).

Job Description

Payactiv seeks a hands-on Data and Analytics Engineer to deliver dependable business reporting, analytics, dashboards, and data request workflows.

Responsibilities

Write, optimize, and maintain SQL queries against the Snowflake data warehouse.
Build and maintain curated datasets, views, and reporting tables for business reporting, analytics, and list generation.
Partner with business stakeholders to gather requirements and define data solutions.
Create trusted, scalable data sources and products to provide reliable, actionable insights and accurate lists for user acquisition and lifecycle messaging.
Manage, maintain, and enhance analytics, BI dashboards, and data visualizations used across the organization.
Lead development of self-serve tools that help analytics scale across the company.
Implement dashboard changes, including updates to metrics, filters, views, and other business-driven requirements.
Validate accuracy of data pulls, reports, and dashboards by reviewing data logic, source tables, joins, calculations, and definitions.
Share recommendations and reporting results with internal stakeholders and leadership.
Support ad hoc data requests from internal teams.
Perform data quality checks, reconciliation, and validation across list generation and reporting workflows.
Monitor and maintain data quality, integrity, and consistency across different environments.
Collaborate cross-functionally with Engineering, User Lifecycle and Growth, Data Scientists, BI, and other teams to understand data sources and business rules.
Maintain documentation for key dashboards, metrics, assumptions, report logic, and data definitions.
Identify opportunities to standardize, automate, and improve recurring reporting and data request processes.
Prepare, validate, and deliver data extracts, Excel-based reports, and lists for business stakeholders.
Use automation to improve recurring reports, QA checks, and data delivery workflows.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, Statistics, or a related field.
4+ years of experience in data analytics engineering, business intelligence, reporting, data engineering, or database development.
Strong hands-on SQL experience, including complex joins, aggregations, CTEs, window functions, and query optimization.
Experience working with Snowflake (or another cloud data warehouse).
Strong Excel skills including pivot tables, lookups, formulas, data validation, and working with large CSV/data extracts.
Experience with BI/dashboarding tools; Sigma Computing experience is a plus.
Experience supporting business teams with ad hoc reporting, data pulls, dashboards, and operational analytics.
Ability to validate data accuracy, troubleshoot reporting discrepancies, and explain data logic to technical and non-technical stakeholders.
Python experience is a plus for data extraction, automation, QA, or reporting workflows.
Strong attention to detail, especially for legal, compliance, financial, or executive-level reporting.
Excellent written and verbal communication skills.

Technologies

SQL
Snowflake
Excel
Sigma Computing
Python

Benefits

Company-sponsored health, dental, and vision insurance.
Health, dental, and vision reimbursement account.
401(k), traditional and Roth, with a company match.
Tuition assistance or tuition reimbursement.
Unlimited paid time off.
Monthly gym reimbursement.
Paid time off to volunteer.
Paid family leave.
Complimentary office lunches.
Work in a fast-paced, innovative environment with modern data technologies.
Opportunity to influence business reporting, analytics, and data quality across the organization.
Salary Range: $130,000 to $165,000 per year (based on experience) plus bonus.

Location: Milpitas, CA (onsite)

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Data Jobs in Milpitas, CA

Agentic AI Software Engineer - Equipment Data Analytics

Data Scientist - Decision Analytics

Data and Analytics Engineer

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