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Software Applications Jobs in California (NOW HIRING)

PDF Solutions

Software Applications Engineer

Milpitas, CA

$130K - $160K/yr

Overview Role Summary We are seeking a Senior Applications Engineer to join our team, focusing on ... The ideal candidate will have extensive experience in creating robust and scalable software, with a ...

PDF Solutions

Software Applications Engineer

Milpitas, CA · On-site

$130K - $160K/yr

Overview Role Summary We are seeking a Senior Applications Engineer to join our team, focusing on ... The ideal candidate will have extensive experience in creating robust and scalable software, with a ...

Rivian

Staff Software Applications Engineer

Irvine, CA

$156K - $195K/yr

... Software Engineer who is excited to build at the intersection of enterprise systems and AI . Responsibilities * Design and build scalable, cloud-native enterprise applications for supply chain and ...

Rivian

Staff Software Applications Engineer

Palo Alto, CA

$156K - $195K/yr

... Software Engineer who is excited to build at the intersection of enterprise systems and AI . Responsibilities * Design and build scalable, cloud-native enterprise applications for supply chain and ...

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Software Applications information

What cities in California are hiring for Software Applications jobs? Cities in California with the most Software Applications job openings:
Infographic showing various Software Applications job openings in California as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, 2% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
Software Applications Engineer

Software Applications Engineer

PDF Solutions

Milpitas, CA

$130K - $160K/yr

Full-time

Re-posted 15 days ago

Job description

Overview

 Role Summary

We are seeking a Senior Applications Engineer to join our team, focusing on the development of cutting-edge machine learning and artificial intelligence solutions for the semiconductor industry. The ideal candidate will have extensive experience in creating robust and scalable software, with a strong background in data analysis, machine learning, and containerization technologies.


Responsibilities
  • Design and Implement ML/AI Algorithms: Help develop and implement advanced machine learning and AI-based algorithms for the automatic classification of defects in semiconductor inspection tools.
  • Data Analysis: Analyze large volumes of defect data to identify critical patterns, trends, and anomalies, using this analysis to inform model development.
  • Training and Model Development: Train, validate, and deploy defect classification models, ensuring they meet strict performance and accuracy requirements.
  • System Optimization: Continuously improves the accuracy, efficiency, and reliability of the defect classification system through iterative development and optimization.

Qualifications
    • Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Materials Science, or a related technical field.
    • Machine Learning Expertise: Proficiency in Python and deep learning frameworks such as TensorFlow,  PyTorch specifically for computer vision tasks (CNNs, Transformers).
    • Semiconductor Knowledge: Familiarity with semiconductor manufacturing processes or inspection metrology is highly preferred.
    • Data Proficiency: Experience handling large datasets and using tools like Pandas, NumPy and SQL for data preprocessing and feature engineering.
    • Problem Solving: Strong analytical mindset with the ability to translate complex manufacturing defects into actionable data models, data ingestion, analysis, and visualization.

Preferred Skills

    • Experience with Mismatched Data or Active Learning techniques to handle rare defect types.
    • Knowledge of ML Ops tools (ML Flow, zen Flow etc.) for model deployment and monitoring in a production environment.
    • Excellent communication skills to collaborate with cross-functional hardware and software teams.

Pay Range
USD $130,000.00 - USD $160,000.00 /Yr.Qualifications:
    • Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Materials Science, or a related technical field.
    • Machine Learning Expertise: Proficiency in Python and deep learning frameworks such as TensorFlow,  PyTorch specifically for computer vision tasks (CNNs, Transformers).
    • Semiconductor Knowledge: Familiarity with semiconductor manufacturing processes or inspection metrology is highly preferred.
    • Data Proficiency: Experience handling large datasets and using tools like Pandas, NumPy and SQL for data preprocessing and feature engineering.
    • Problem Solving: Strong analytical mindset with the ability to translate complex manufacturing defects into actionable data models, data ingestion, analysis, and visualization.

Preferred Skills

    • Experience with Mismatched Data or Active Learning techniques to handle rare defect types.
    • Knowledge of ML Ops tools (ML Flow, zen Flow etc.) for model deployment and monitoring in a production environment.
    • Excellent communication skills to collaborate with cross-functional hardware and software teams.
Education:UNAVAILABLEEmployment Type: FULL_TIME

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