ZipRecruiter

Log In

1

Regression Jobs in California (NOW HIRING)

Prodapt

Senior Front-End Infrastructure Engineer

San Jose, CA · On-site

$143K - $197K/yr

Regression Management & Triage: You lead regression management systems, including flow-based regression support. Proactively manage regression triage, interactive user requirements, and troubleshoot ...

TabaPay

QA Engineer

Palo Alto, CA · On-site

The QA Engineer will design and maintain regression test suites, build automated tests, execute regression testing, and ensure the quality of releases through various testing strategies.

Discord

QA/DevOps Engineer

San Francisco, CA

$156K - $175K/yr

Build and improve regression and progression test automation in the Tosca environment for Oracle Fusion and Salesforce. * Create, maintain, and update Tosca scripts to reflect system and process ...

Discord

QA/DevOps Engineer

San Francisco, CA · On-site

$156K - $175K/yr

Build and improve regression and progression test automation in the Tosca environment for Oracle Fusion and Salesforce. * Create, maintain, and update Tosca scripts to reflect system and process ...

Apex Informatics

Data Scientist

Pleasanton, CA · On-site

GLM Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. Experience using ...

Scalence L.L.C.

Integration Test Engineer

Cupertino, CA · On-site

$128K - $172K/yr

The role involves designing and implementing integration test frameworks, developing end-to-end regression tests, and integrating test suites into CI/CD pipelines for automated execution.

ClifyX

Mobile/Web Analytics QA

Pleasanton, CA · On-site

The role involves validating analytics instrumentation on web and mobile platforms, executing regression suites, and collaborating with cross-functional teams. Responsibilities : • Solid hands on ...

omega solutions, Inc.

Sr. Data Scientist

Santa Ana, CA · On-site

Regression, Classification, Clustering, (Decision Trees, SVM, Linear Regression, Logistic Regression, KNN, KMeans) Visualization: Matplot Systems: UNIX, Windows Soft: Integrity, strong verbal and ...

Tech Tammina LLC

QA Manager

Sunnyvale, CA · On-site

The role involves managing integration testing for Family & Tech Specs pages, coordinating PR feedback and test coverage reviews, and overseeing visual regression and accessibility compliance. Key ...

OMNIVISION

Sr. EDA Flow Engineer

Santa Clara, CA

$110K - $145K/yr

Work closely with design teams and CAD/EDA stakeholders to identify workflow bottlenecks across the chip development lifecycle--such as DRC/CDC/STA debug, regression triage, PPA convergence, and ECO ...

OMNIVISION

Sr. EDA Flow Engineer

Santa Clara, CA · On-site

Work closely with design teams and CAD/EDA stakeholders to identify workflow bottlenecks across the chip development lifecycle--such as DRC/CDC/STA debug, regression triage, PPA convergence, and ECO ...

next page

Showing results 1-20

All JobsRegression JobsRegression Jobs in California

Regression information

See California salary details

$11

$50

$69

How much do regression jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for regression in California is $50.77, according to ZipRecruiter salary data. Most workers in this role earn between $41.97 and $58.61 per hour, depending on experience, location, and employer.

What is regression in the context of data analysis and statistics?

Regression is a statistical method used to examine the relationship between a dependent variable and one or more independent variables. It helps in predicting the value of the dependent variable based on the values of the independent variables. Common types include linear regression, which models a straight-line relationship, and logistic regression, which is used for predicting categorical outcomes. Regression analysis is widely used in fields such as economics, finance, biology, and machine learning to identify trends, make forecasts, and understand variable relationships.

What are the key skills and qualifications needed to thrive as a regression analyst, and why are they important?

To thrive as a Regression Analyst, you need a solid background in statistics, mathematics, and data analysis, typically supported by a relevant bachelor's or master's degree. Proficiency with statistical tools like R, Python, SAS, or SPSS, and experience with data visualization platforms are essential. Strong analytical thinking, attention to detail, and clear communication help in interpreting and presenting complex data findings. These skills are crucial for accurate modeling, data-driven decision-making, and effectively conveying actionable insights to stakeholders.

What types of projects or problems does a regression analyst typically work on, and how do they collaborate with other teams?

A Regression Analyst typically works on projects involving trend analysis, forecasting, and identifying relationships between variables using statistical models. They often collaborate closely with data scientists, business analysts, and subject matter experts to interpret results and ensure models align with business objectives. Regular responsibilities include data cleaning, model development, and presenting findings to stakeholders. Successful collaboration and communication are key, as their insights frequently inform decision-making across departments such as marketing, finance, and operations.

What jobs use regression analysis?

Regression analysis is used in a variety of jobs such as data analysts, statisticians, financial analysts, marketing analysts, and data scientists. These roles involve building models to predict trends, analyze relationships, and support decision-making using statistical tools like Excel, R, or Python. Strong analytical skills and understanding of statistical concepts are essential for these positions.

What are popular job titles related to Regression jobs in California?

For Regression jobs in California, the most frequently searched job titles are:

What job categories do people searching Regression jobs in California look for?

The top searched job categories for Regression jobs in California are:

Regression jobs near you
Infographic showing various Regression job openings in California as of August 2026, with employment types broken down into 74% Full Time, 18% Part Time, and 8% Contract. Highlights an 66% Physical, 6% Hybrid, and 28% Remote job distribution, with an average salary of $105,596 per year, or $50.8 per hour.

Senior Front-End Infrastructure Engineer

San Jose, CA • On-site

Prodapt
51 - 200 employees
Learn more about Prodaptexternal

$143K - $197K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Overview
Prodapt ASIC Services (formerly Innovative Logic) provides end-to-end SoC/ASIC, FPGA, and embedded software solutions. Their design services cover the complete lifecycle from RTL to GDSII, covering domains like 3nm node physical design, UVM verification, DFT, and silicon bring-up for 5G, AI, and IoT.
We are looking for Senior Front-End Infrastructure Engineer in Austin, TX and its 5 days onsite position.
Responsibilities
The FE Infrastructure team is seeking a highly skilled and motivated Engineer with extensive experience in Front-End (FE) flows, tools, and methodologies. This role requires deep technical expertise and experience across multiple verification tools and platforms, as well as a track record of solving complex challenges in FE infrastructure. Candidates should possess a specialized skill set that encompasses regression management, tool deployment, and extensive interaction with industry-leading EDA vendors.
  • Development & Maintenance of Verification Flows: You design, support, and continuously improve highly complex, scalable, and efficient Verification flows, with a focus on ensuring robustness and efficiency. Collaborate on advanced flow-based regression tools and maintain them by providing consistent support and updates to meet evolving project demands.
  • Regression Management & Triage: You lead regression management systems, including flow-based regression support. Proactively manage regression triage, interactive user requirements, and troubleshoot issues to ensure seamless project continuity. Expertise in debugging and resolving issues related to coverage, regression fail triaging, and flow stability.
  • EDA Tool & Vendor Management: You act as the point of contact for VCS Synopsys issues, providing in-depth debugging, troubleshooting, and solutions to complex problems. Regularly liaise with Synopsys vendors and other EDA partners to coordinate tool support, resolve escalated issues, and stay updated on new developments, maintaining an open line of communication to ensure high-quality support for verification processes.
  • RTL Architecture Tool Deployment & Support: You will successfully deploy and maintain tools for RTL Architecture, ensuring integration with FE verification flows and addressing any support requirements.
  • Version Control Expertise: You leverage extensive knowledge of Git.

Requirements
  • 10+ years of experience with a Bachelor's Degree in Computer Science/Engineering, or 8+ years of experience with a Master's Degree, or 6+ years of experience with a PhD
  • Proven experience in designing, maintaining, and troubleshooting FE Design Verification flows and CAD infrastructure for large-scale, high-performance projects.
  • Expertise in flow-based regression management, with strong analytical skills in debugging regression and coverage issues.
  • Familiarity with industry-standard tools including Synopsys VCS, IES, and RTL architecture tools, with hands-on experience in xprop configuration for VCS and IES.
  • Advanced knowledge of version control systems, particularly Git, Perforce, and Git-P4 interfaces, with an ability to support and streamline versioning workflows.
  • Strong communication skills, with experience working directly with EDA vendors to resolve issues and improve tool performance.
  • Ability to work independently and as part of a team, with a proactive approach to problem-solving and a strong attention to detail.

Apply