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Software Applications Engineer Jobs in California

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 ...

Trimble

Applications Engineer

Sunnyvale, CA · On-site

Experience with RF, software, and interface design for multi-circuit-card assemblies. Logistics ... Applications Engineer, GPS, Aviation, Systems Engineering, Embedded Systems, Aerospace, DO-178 ...

Trimble, Inc.

Applications Engineer

Sunnyvale, CA · On-site

Experience with RF, software, and interface design for multi-circuit-card assemblies. Logistics ... Applications Engineer, GPS, Aviation, Systems Engineering, Embedded Systems, Aerospace, DO-178 ...

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Software Applications Engineer information

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$23

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How much do software applications engineer jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for software applications engineer in California is $58.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.01 and $65.96 per hour, depending on experience, location, and employer.

What is the role of a software application engineer?

A software applications engineer designs, develops, tests, and maintains software applications to meet user needs. They often work with programming languages, development tools, and collaborate with cross-functional teams to ensure functionality, performance, and security of software products.

How do Software Applications Engineers typically collaborate with product managers and end-users during the software development lifecycle?

Software Applications Engineers frequently work alongside product managers to clarify requirements and ensure that application features align with business goals. They also interact with end-users through feedback sessions, usability testing, or support channels to gather insights that inform future development. This collaborative approach helps engineers create more user-friendly and effective software solutions, and fosters an environment where communication and adaptability are highly valued. Effective teamwork and cross-functional communication are essential components of success in this role.

What engineer makes $500,000 a year?

Software Applications Engineers in senior or specialized roles, such as those working in high-demand industries like finance or technology, can earn $500,000 or more annually. This typically requires extensive experience, advanced skills in programming, and often involves bonuses, stock options, or other compensation components.

What are Software Applications Engineers?

Software Applications Engineers are professionals who design, develop, and maintain software applications tailored to meet user or business needs. They often work closely with clients or internal teams to understand requirements, build solutions, and troubleshoot issues. Their role may involve writing code, integrating software systems, optimizing application performance, and providing technical support. Software Applications Engineers may specialize in specific programming languages or platforms and are essential in ensuring software products function effectively and efficiently.

What does a software application engineer do?

A software applications engineer designs, develops, tests, and maintains software applications to meet user needs. They often work with programming languages, development tools, and collaborate with cross-functional teams to ensure functionality and performance. Strong problem-solving skills and knowledge of software development lifecycle are essential for this role.

What are the key skills and qualifications needed to thrive as a Software Applications Engineer, and why are they important?

To thrive as a Software Applications Engineer, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Familiarity with development frameworks, integrated development environments (IDEs), and experience with version control systems like Git are typically required, along with certifications such as Microsoft Certified: Azure Developer Associate or AWS Certified Developer. Excellent communication, teamwork, and adaptability help you collaborate with cross-functional teams and address user needs effectively. These skills are essential for developing robust software solutions that meet client requirements and ensuring successful project delivery.

What is the difference between Software Applications Engineer vs Software Developer?

AspectSoftware Applications EngineerSoftware Developer
CredentialsBachelor's in CS or related field, possibly certifications in specific technologiesBachelor's in CS or related field, coding certifications optional
Work EnvironmentCollaborates with cross-functional teams, focuses on application deployment and integrationPrimarily writes, tests, and maintains code for software products
Employer & Industry UsageUsed in tech companies, software firms, and enterprises developing or deploying applicationsCommon across startups, tech firms, and freelance work

The Software Applications Engineer typically focuses on deploying, integrating, and supporting software applications within an organization, often working closely with clients and other teams. In contrast, a Software Developer primarily concentrates on designing, coding, and testing software products. While both roles require similar technical skills and educational backgrounds, their daily tasks and focus areas differ, making each role suited to different career interests within the software industry.

What engineers make $200,000 a year?

Software Applications Engineers with extensive experience, specialized skills, and working in high-demand industries or companies can earn $200,000 or more annually. Achieving this level often requires advanced knowledge of programming languages, systems, and certifications, along with leadership responsibilities or senior roles.
What are popular job titles related to Software Applications Engineer jobs in California? For Software Applications Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Software Applications Engineer jobs in California look for? The top searched job categories for Software Applications Engineer jobs in California are:
What are popular job titles related to Software Applications Engineer jobs in CA? For Software Applications Engineer jobs in CA, the most frequently searched job titles are:
Software Applications Engineer jobs near you
Infographic showing various Software Applications Engineer job openings in California as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $122,323 per year, or $58.8 per hour.
Software Applications Engineer

Software Applications Engineer

PDF Solutions

Milpitas, CA • On-site

$130K - $160K/yr

Full-time

Posted 27 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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