1 day ago
Base Salary
$168k - $322k/yr
Responsibilities
- Develop test plans and strategies for models, agent harnesses, tools, inference runtimes, AI applications, agents, and end-to-end agentic workflows.
- Build and maintain automated test cases, scalable test frameworks, and agent test harnesses.
- Use AI-powered tools to improve test generation, defect detection, flaky-test analysis, regression testing, and test coverage optimization.
- Perform functional, performance, fault-injection, reliability, and regression testing.
- Review requirements with product, engineering, and cross-functional teams and report quality status, risks, bugs, and results.
- Manage the bug lifecycle, reproduce customer issues, and verify fixes.
- Develop AI-driven QA solutions that improve test execution and failure analysis.
Requirements
- Master’s degree or PhD in Computer Science, Engineering, or a related field, or equivalent experience.
- At least 8 years of QA, test automation, or software testing experience.
- Hands-on experience developing, testing, and maintaining AI agents or components such as models, agent harnesses, and inference runtimes.
- Experience configuring, running, and debugging open-source models with at least one inference runtime or framework.
- Strong QA fundamentals, test strategy, test planning, and failure-analysis skills.
- Proficiency with Unix/Linux, Python, and shell scripting.
- Experience with Kubernetes, containers, CI/CD pipelines, and cloud-native systems.
- Experience testing observability tools such as Prometheus, Grafana, ELK Stack, Datadog, or similar platforms.
- Experience with large-scale failure testing using KWOK, Chaos Monkey, or similar frameworks.
- Strong communication, problem-solving skills, and curiosity for complex technology.
- Preferred experience using AI to reduce testing time, improve defect detection, or increase test coverage; building AI-driven QA solutions; or working with NVIDIA GPU hardware or GPU-accelerated software.
Benefits
- Eligible for equity and benefits.
- Base salary is determined by location, experience, and other objective job-related factors, with stated ranges for Level 4 and Level 5.
- Applications are accepted at least until November 7, 2026.
Tech Stack
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.