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Senior Tools Development Engineer

NVIDIA Corporation

India, PuneKernel / LinuxSoC / ASICPosted Aug 25, 2026
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Skills named in this posting

  • x86
  • PCIe
  • USB
  • Python
  • Device drivers
We are seeking a qualified Senior Software Tools Development Engineer to join our GPU SWQA team. The successful candidate will have strong experience applying AI technologies to automate test cases and a deep understanding of Windows operating systems. Extensive knowledge of GPU, CPU, SoC, x86, and ARM architectures is required, along with expertise in PC I/O architecture and common bus interfaces such as PCIe, USB, and SATA. Familiarity with specifications for general PC architecture components is a plus. What you’ll be doing: • Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on windows platforms. • Build tools/utility/framework in Python, C# or equivalent which would help automate and optimize the testing workflows in GPU domain. Develop and carry out automated and manual tests, analyze results, identify and report defects. • Rigorously drive test automation initiative. Build innovative ways to automate and expand our software testing. • Expose defects and constraints; Isolate and debug the issue(s) and find the root cause; Contribute to the solution and drive to closure. Measure code coverage for the software under test, analyze and drive code coverage enhancements. • Develop applications and tools that accelerate development and test workflows and write fast, effective, maintainable, reliable and well documented code. Generate and test compatibility across a range of products and interfaces and validate different key software applications across a test matrix designed to test both breadth and depth. • Provide peer code reviews including feedback on performance, scalability and correctness. • Report test coverage and Go/No-Go status for deliverables, escalate critical issues, and drive them to closure. • Participate in root cause analysis and corrective actions to continuously improve deliverable quality, workflows, and processes. • Effectively estimate and prioritize tasks in order to create a realistic delivery schedule. • You will have the opportunity to work on challenging technical and process issues and work closely with leadership to report progress, generating effective and actionable reports. • This is a fully onsite position. What we need to see: • B.S / B.Tech/M.S in Computer Science / Electronics & Telecommunication with strong academics or equivalent experience. • 5+ years of programming experience in Python, C# or equivalent with experience in applying Object-Oriented Programming concepts. • Hands-on experience developing Python scripts using application development concepts like dictionaries, tuples, RegEx, PIP etc. • Working experience with databases and storage technologies like SQL, MongoDB and Elasticsearch. • Experience working on Windows OS with a solid understanding of GPU, CPU, and SoC architectures. • Experience using AI tools to automate test cases as well as end-to-end QA workflow. • Strong communication skills, including effective interpersonal and cross-team collaboration. • Excellent analytical and problem-solving skills. • Highly organized, proactive, and quick to learn. • Ability to work effectively with engineering teams in a fast-paced environment. Ways to stand out from the crowd: • Strong problem-solving skills, including the ability to apply sound logic when isolating and regressing issues, along with strong written communication skills. • Extensive experience with AI-driven automation. • Ability to collaborate effectively in a distributed team environment. • Development experience fixing regression bugs and implementing or enabling tests for CI/CD pipelines. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation

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Original posting: jobs.nvidia.com

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RISC-V ecosystem

NVIDIA Corporation in the RISC-V ecosystem

RISC-V International: Premier Board

Founded in 1993, NVIDIA is an AI computing company. The company is headquartered in Santa Clara, California.

  • NVIDIA is bringing CUDA platform support to RISC-V, i.e. allowing a RISC-V CPU to host CUDA GPU applications
  • Publicly credited the RVA23 profile as the enabler: "We wouldn't have considered porting CUDA to RISC-V without it"
  • Active in RISC-V International profile/standards work and a frequent presence in RISC-V ecosystem coverage

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