Senior Test Development Software Engineer - Aerial

at Nvidia
📍 Santa Clara, United States
USD 136,000-264,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Docker @ 4 Kubernetes @ 4 Linux @ 6 Python @ 6 R @ 4 OpenStack @ 4 Perl @ 6 Debugging @ 4 QA @ 7 GPU @ 7

Details

We are looking for someone passionate about quality assurance to have a huge impact on the quality of NVIDIA's enterprise product. This role is focused on software QA engineering with strong emphasis on test development, automation, AI-driven testing enhancements, and working with cross-functional teams to ensure product quality.

Responsibilities

  • Utilize AI-powered tools to enhance QA efficiency, including automating test case generation, defect detection, and regression testing.
  • Implement AI-driven solutions to optimize test coverage and identify high-risk areas in software systems.
  • Collaborate with cross-functional teams to adopt AI tools that improve workflow automation and reduce manual effort.
  • Work closely with multi-functional teams to understand test requirements and take ownership of product quality.
  • Develop test plans, design test cases, execute testing via automation and/or manually, and compose test reports.
  • Build and maintain complex test environments.
  • Manage bug lifecycle and coordinate with other groups to drive solutions.
  • Assist in the architecture, crafting, and implementation of SWQA test frameworks.
  • Report bugs found during execution, assist with reproduction and debugging to understand root cause, verify bug fixes provided by R&D, and raise issues if not fixed.
  • Use AI development tools to increase automation, improve code coverage, and identify and resolve bugs early.

Requirements

  • BS or higher degree (or equivalent experience) in Computer Science, Electrical Engineering, Computer Engineering, or equivalent, with 5+ years QA experience in the Telecom industry.
  • Experience using AI tools for QA tasks and familiarity with AI-powered testing frameworks and platforms.
  • Strong understanding of QA methodologies and ability to integrate AI tools into existing workflows.
  • Background with LTE/5G MAC and PHY from both systems and low-level 3GPP spec perspectives.
  • Proficient experience with Keysight equipment.
  • Proficient Linux experience and shell/python/perl programming skills.
  • Rich experience in test case development, test automation, and failure analysis.
  • Strong QA sense and demonstrated experience in software testing and problem solving.
  • Highly motivated with excellent interpersonal skills and strong teamwork ethic.

Ways to stand out

  • Experience working with NVIDIA GPU and/or DPU hardware (strong plus).
  • Experience using or managing cloud technologies such as Kubernetes, OpenStack, and Docker.
  • Demonstrated ability to learn and adapt to new technologies.

Compensation & Benefits

  • Base salary ranges by level:
    • Level 3: 136,000 USD - 212,750 USD
    • Level 4: 168,000 USD - 264,500 USD
  • Eligible for equity and benefits (see NVIDIA benefits page).

Other

  • Applications for this job will be accepted at least until October 18, 2025.
  • NVIDIA is an equal opportunity employer committed to diversity and non-discrimination.