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Flexible Software Developer In Test Jobs in Morgan Hill, CA

WorkNovas LLC

SDET/QA Engineer

Fremont, CA · On-site

Role: SDET/QA Engineer Location: Fremont, CA - 5 days onsite per week Duration: 6-12 months Contract+ with contract to hire 1 and done interview in fremont CA Experience in Python and Playwright is ...

Apple

Software Engineer in Test, Cocoa

Cupertino, CA · On-site

We work on system level frameworks that focus on improving a broad range of developer and user ... As a Software Development Engineer in Test (SDET), you will help with developing and maintaining ...

Apple

Software Engineer in Test, Cocoa

Cupertino, CA

$150K - $277K/yr

We work on system level frameworks that focus on improving a broad range of developer and user ... As a Software Development Engineer in Test (SDET), you will help with developing and maintaining ...

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Flexible Software Developer In Test information

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$13

$62

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How much do flexible software developer in test jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for flexible software developer in test in Morgan Hill, CA is $62.46, according to ZipRecruiter salary data. Most workers in this role earn between $54.86 and $70.72 per hour, depending on experience, location, and employer.

What is the difference between Flexible Software Developer In Test vs Manual QA Tester?

AspectFlexible Software Developer In TestManual QA Tester
CredentialsTypically requires programming skills, testing certifications, and familiarity with automation toolsFocuses on testing methodologies, often with certifications in QA but less emphasis on coding
Work EnvironmentWorks closely with developers, uses automation frameworks, and develops test scriptsPerforms manual testing, reports bugs, and verifies fixes
Industry UsageCommon in agile teams, tech companies, and organizations emphasizing automationWidely used across various industries, especially in traditional or regulated sectors

Flexible Software Developer In Test roles combine programming and testing skills to automate tests, whereas Manual QA Testers focus on executing manual tests and identifying issues without automation. Both roles are essential in quality assurance but differ mainly in technical requirements and work methods.

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For Flexible Software Developer In Test jobs in Morgan Hill, CA, the most frequently searched job titles are:

What job categories do people searching Flexible Software Developer In Test jobs in Morgan Hill, CA look for?

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What cities near Morgan Hill, CA are hiring for Flexible Software Developer In Test jobs?

Cities near Morgan Hill, CA with the most Flexible Software Developer In Test job openings:

Flexible Software Developer In Test jobs near you
Infographic showing various Flexible Software Developer In Test job openings in Morgan Hill, CA as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, and 3% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $129,912 per year, or $62.5 per hour.

Quality Assurance Software Developer Engineer in Test, GeForce GPU

Nvidia Corporation

Santa Clara, CA • On-site

$58.75 - $75.75/hr

Full-time

Re-posted 20 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

Are you passionate about inspiring change, building data driven tools to improve software quality, and ensuring customers have the best experience? If so, we have a phenomenal opportunity for you! NVIDIA is seeking a creative, and hands-on software engineer with a test to failure approach who is a quick learner, can understand software and hardware specifications, build reliable tests and tools C++/C#/Python to improve quality and accelerate delivery of GeForce NVIDIA products. The successful candidate will demonstrate substantial experience with AI technologies for automation of test cases, as well as an in-depth understanding of both Windows and Linux operating systems.
What you'll be doing:
As a Software Development Engineer in Test, you will take part in technical design and implementation of tests for NVIDIA software products with the goal to identify defects early in the software development lifecycle. You will also build tools that accelerate execution workflows for the organization. In this role you can expect to:
  • Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on various Windows and Linux operating systems.
  • Develop automated end to end tests for NVIDIA device driver and SDKs on windows platform. Execute manual and automated tests, identify, and report defects. Measure code coverage, analyze and drive code coverage improvements.
  • Develop applications and tools that bring data driven insights to development and test workflows.
  • Build tools/utility/framework in Python / C / C++ which would help automate and optimize the testing workflows in GPU domain.
  • Write maintainable, reliable, and well detailed code. Debug issues to identify the root cause. Provide peer code reviews including feedback on performance, scalability, and correctness
  • Optimally estimate and prioritize tasks in order to create a realistic delivery schedule and work on challenging technical and process issues.
  • Generate and test compatibility across a range of products and interfaces.
  • Work closely with leadership to report progress by generating effective and impactful reports

What we need to see:
  • B.E./B. Tech degree in Computer Science/IT/Electronics engineering with strong academics or equivalent experience
  • 5+ years of programming experience in Python/C/C++ with experience in applying Object-Oriented Programming concepts.
  • Hands-on knowledge of developing Python scripts with application development concepts like dictionaries, tuples, RegEx, PIP etc.
  • Good experience with using AI development tools for test plans creation, test cases development and test cases automation
  • Experience with testing RESTful APIs and the ability to conduct performance and load testing to ensure the application can handle high traffic and usage.
  • Experience working with databases and storage technologies like SQL and Elasticsearch
  • Good understanding of OS fundamentals, PC Hardware and troubleshooting.
  • Skillful at debugging issues and have experience using debugging tools like WinDBG/gdb
  • Working knowledge of GPUs devices and technologies like DLSS, Frame Generation, Reflex, CUDA, G-Sync, etc.
  • The ability to collaborate with multiple development teams to gain knowledge and improve test code coverage

Ways to stand out from the crowd:
  • Prior project experience with building ML and DL based applications would be a plus
  • Good understanding of testing fundamentals
  • Good problem solving skills (solid logic to apply in isolation and regression of issues found).

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 4, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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