Senior Level Lead SDET Jobs
Senior level lead sdet jobs place experienced professionals in charge of quality engineering strategy, automation architecture, and the cross-functional teams that deliver it. Openings are concentrated in Technology & Software and Science & Research, with a mix of on-site, remote, and hybrid settings, and employers like NVIDIA, Capgemini, and Hypr hiring at this level now.
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See related jobsNVIDIA is the world leader in accelerated computing and AI. Our technologies power the most advanced AI platforms, including NeMo microservices and NVIDIA Inference Microservices (NIM), enabling scalable, production‑grade AI deployment across cloud and enterprise environments. We are looking for a senior, technically strong test development engineer to drive quality, automation, and technical leadership in this rapidly evolving space.
We are looking for a Senior AI Agent Test Developer to help deliver reliable AI agents and end-to-end agentic workflows on NVIDIA GPU platforms. You will develop test plans and strategies to validate how models, agent harnesses, tools, and inference runtimes work together. You will also build agentic QA solutions that improve test development, execution, and failure analysis.
What you’ll be doing:
- Use and develop AI-powered tools to make software testing smarter, faster, and more effective!
- Improve test case generation, defect detection, flaky test analysis, regression testing, and test coverage optimization.
- Work with product, engineering, and cross-functional teams to review requirements and define test strategies.
- Build test plans, design and execute test cases, and report quality status, risks, bugs, and results.
- Perform functional, performance, fault-injection, reliability, and regression testing for AI apps and agents and end-to-end agentic workflows.
- Automate test cases and contribute to scalable test frameworks and agent test harnesses. Manage the bug lifecycle, reproduce customer issues, and verify fixes.
What we need to see:
- MS or PhD in Computer Science, Engineering, or a related field (or equivalent experience).
- 8+ years of QA, test automation, or software testing experience.
- Hands-on experience developing, testing, and maintaining AI agents or their underlying components, such as models, agent harnesses, and inference runtimes.
- Practical experience configuring, running, and debugging open-source models using at least one inference runtime or framework.
- Strong QA fundamentals, test strategy, test planning, and failure analysis skills.
- Proficiency with Unix/Linux, Python programming, 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 tools such as KWOK, Chaos Monkey, or similar frameworks. Strong communication, problem-solving skills, and curiosity for complex technology
Ways to stand out from the crowd:
- Used AI to reduce testing time, improve defect detection, or increase test coverage.
- Built AI-driven solutions that streamlined QA workflows or reduced manual effort.
- Experience with NVIDIA GPU hardware or GPU-accelerated software.
168,000 USD – 270,250 USD for Level 4; and 200,000 USD – 322,000 USD for Level 5.
You will also be eligible for equity and benefits .
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.NVIDIA is the world leader in accelerated computing and AI. Our technologies power the most advanced AI platforms, including NeMo microservices and NVIDIA Inference Microservices (NIM), enabling scalable, production‑grade AI deployment across cloud and enterprise environments. We are looking for a senior, technically strong test development engineer to drive quality, automation, and technical leadership in this rapidly evolving space.
We are looking for a Senior AI Agent Test Developer to help deliver reliable AI agents and end-to-end agentic workflows on NVIDIA GPU platforms. You will develop test plans and strategies to validate how models, agent harnesses, tools, and inference runtimes work together. You will also build agentic QA solutions that improve test development, execution, and failure analysis.
What you’ll be doing:
- Use and develop AI-powered tools to make software testing smarter, faster, and more effective!
- Improve test case generation, defect detection, flaky test analysis, regression testing, and test coverage optimization.
- Work with product, engineering, and cross-functional teams to review requirements and define test strategies.
- Build test plans, design and execute test cases, and report quality status, risks, bugs, and results.
- Perform functional, performance, fault-injection, reliability, and regression testing for AI apps and agents and end-to-end agentic workflows.
- Automate test cases and contribute to scalable test frameworks and agent test harnesses. Manage the bug lifecycle, reproduce customer issues, and verify fixes.
What we need to see:
- MS or PhD in Computer Science, Engineering, or a related field (or equivalent experience).
- 8+ years of QA, test automation, or software testing experience.
- Hands-on experience developing, testing, and maintaining AI agents or their underlying components, such as models, agent harnesses, and inference runtimes.
- Practical experience configuring, running, and debugging open-source models using at least one inference runtime or framework.
- Strong QA fundamentals, test strategy, test planning, and failure analysis skills.
- Proficiency with Unix/Linux, Python programming, 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 tools such as KWOK, Chaos Monkey, or similar frameworks. Strong communication, problem-solving skills, and curiosity for complex technology
Ways to stand out from the crowd:
- Used AI to reduce testing time, improve defect detection, or increase test coverage.
- Built AI-driven solutions that streamlined QA workflows or reduced manual effort.
- Experience with NVIDIA GPU hardware or GPU-accelerated software.
168,000 USD – 270,250 USD for Level 4; and 200,000 USD – 322,000 USD for Level 5.
You will also be eligible for equity and benefits .
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.See All 5 Senior Level Lead SDET Jobs
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Senior Level Lead SDET Jobs: Frequently Asked Questions
How do I get a senior level lead sdet job?
Employers at this level expect more than technical proficiency. They want candidates who have owned quality strategy end-to-end, mentored junior engineers, and driven automation frameworks that scaled across large codebases. Demonstrating that you have shaped testing culture, not just contributed to it, is what separates competitive applicants. A portfolio showing architectural decisions and measurable quality outcomes makes the strongest case.
Which companies hire senior level lead sdets?
Companies hiring senior level lead sdets right now include NVIDIA, Capgemini, and Hypr, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to come from technology-forward organizations with mature engineering teams that need experienced professionals to own quality infrastructure and lead testing initiatives across product lines.
Are there remote senior level lead sdet jobs?
Yes, remote and hybrid options are well represented at this level. About 33% of senior level lead sdet openings are remote or hybrid as of November 2026, reflecting the established trust employers place in senior engineers to deliver independently. On-site roles do exist, particularly at organizations prioritizing embedded team collaboration or working with regulated systems.
What makes a lead sdet role senior level?
A senior level lead sdet role is defined by scope and ownership. Where mid-level roles focus on executing within an existing framework, senior roles require setting the direction for quality engineering, defining automation standards, and mentoring others to execute that vision. Senior professionals are accountable for outcomes across teams or product areas, not individual test suites.
Which industries hire the most senior level lead sdets?
Senior level lead sdet roles concentrate in Technology & Software and Science & Research, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring because their engineering organizations are large enough to require dedicated quality leadership and mature enough to invest in building scalable, long-term automation infrastructure.