NVIDIA Logo

NVIDIA

Senior Software Developer Test and Automation

Reposted 2 Days Ago
Be an Early Applicant
In-Office
Santa Clara, CA, USA
152K-253K Annually
Senior level
In-Office
Santa Clara, CA, USA
152K-253K Annually
Senior level
Develop and enhance test strategies and automation systems for NVIDIA embedded software. Build autonomous, AI-enhanced verification agents and pipelines, analyze and root-cause defects to the code level, collaborate across engineering and customer-facing teams, and drive software quality across functional and performance testing.
The summary above was generated by AI

Move the needle in testing NVIDIA's embedded software! As a highly skilled and motivated senior software developer you will push the boundaries for testing and automation. This role offers an outstanding opportunity to leave your mark on our verification strategy and influence our future test automation system.


What you'll be doing:

You will have a unique opportunity of pushing the boundaries and ensuring the perfect performance of Nvidia's embedded software systems where your contributions will directly impact the verification strategy and quality. Priorities do often change in a fast-paced environment like ours. Some of the exciting things you will work on are:

  • Developing new and extending existing test strategies to guarantee the highest level of quality from both functional and performance perspectives. Your innovative approach will ensure that our software meets all standards expected from world-class products.
  • Designing and developing agentic systems that autonomously handle the verification of the various domains of embedded software. Your expertise in developing AI enhanced, efficient and reliable automation tools will play a crucial role in streamlining our testing processes.
  • Collaborating with multiple development, verification, and customer-facing teams to gain a comprehensive understanding of our products and their real-world applications. Your ability to collaborate effectively is essential for driving continuous improvement.
  • Analyzing and root-causing issues down to the code level, leading the defect fixing process, and providing effective fixes. Your strong problem-solving skills will allow you to address challenges with efficiency and precision.

What we need to see:

To excel in this role, we are looking for candidates with the following qualifications:

  • A Bachelor's or Master's degree in Electrical Engineering, Computer Science, or a related field, or equivalent experience. Your educational background will provide you with the foundation necessary to succeed in this technical role.
  • 8+ years of experience designing, building, and deploying automation systems.
  • Your consistent track record in developing large-scale, logical code from scratch in Python or C++ will be instrumental in driving our automation efforts.
  • Extensive experience in using agentic AI assistants to automate complete work processes and run them autonomously
  • Extensive, hands-on experience in building agentic pipelines that complete parts of our development and verifications processes autonomously and long-term stable
  • Demonstrated experience working with embedded systems and automotive sensors like cameras. Your familiarity with these technologies will help you to adapt quickly to the unique requirements of our embedded platforms.
  • Proficiency in Linux environments. Your versatility in working with Linux and Unix-like systems will be critical for ensuring compatibility and seamless integration.
  • Experience using source control systems such as Git and Perforce. Your knowledge of these tools will facilitate efficient teamwork and version control.
  • Strong interpersonal and communication skills are essential. You will need to effectively communicate and collaborate with diverse teams to achieve shared goals.
  • Strong analytical skills. Your keen eye for detail and ability to analyze complex issues will enable you to identify and resolve potential challenges proactively.

Ways to stand out from the crowd:
  • Experience in identifying inference endpoints and optimizing them for best accuracy and efficiency

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 152,000 USD – 253,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 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.

HQ

NVIDIA Santa Clara, California, USA Office

2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara

NVIDIA San Francisco, California, USA Office

San Francisco, United States

NVIDIA San Jose, California, USA Office

San Jose, United States

Similar Jobs

3 Days Ago
Hybrid
San Mateo, CA, USA
150K-200K Annually
Senior level
150K-200K Annually
Senior level
Artificial Intelligence • Hardware • Robotics • Software
Lead the Flight Test Automation Pod and establish technical direction for automated testing of autonomous drones. Design scalable frameworks and CI/CD pipelines spanning mobile, browser, simulation, hardware-in-the-loop, and real-world flight testing. Apply AI-assisted workflows to test generation, failure triage, and flight-log analysis. Define coverage metrics, improve test strategy, mentor engineers, and partner with software, flight test, and reliability teams to improve product quality and release confidence.
Top Skills: Agentic WorkflowsAi-Assisted WorkflowsAppiumCi/CdHardware-In-The-Loop TestingPlaywrightPythonRobotics SimulationSelenium
7 Days Ago
In-Office
Campbell, CA, USA
169K-195K Annually
Senior level
169K-195K Annually
Senior level
Healthtech • Biotech
Develop embedded test automation for medical robotic systems, including hardware-in-the-loop infrastructure, firmware testing, manufacturing tools, device programming, calibration, diagnostics, and CI/CD integration. Collaborate with embedded software, electrical, systems, manufacturing, and quality teams while building Python automation for component, integration, regression, and fault-injection testing.
Top Skills: Build AutomationCC++CanCi/CdContainersEmbedded SystemsEthernetGitHardware-In-The-Loop TestingLinuxPytestPythonUart
2 Days Ago
In-Office
Santa Clara, CA, USA
140K-270K Annually
Senior level
140K-270K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Develop and enhance test strategies and automation for NVIDIA embedded software. Build autonomous agentic AI verification systems, collaborate across development and customer teams, analyze issues to the code level, root-cause defects, and deliver fixes. The role requires large-scale Python or C++ development, embedded systems and automotive sensor experience, Linux proficiency, and Git or Perforce expertise.
Top Skills: Agentic AiC++Embedded SystemsGitLinuxPerforcePythonUnix

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account