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NVIDIA

Designs the chips and software that power AI

Software Tools Development Engineer

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listed

About the Job

Requirements

  • A B.S., B.Tech, or M.S. in Computer Science or Electronics & Telecommunication with strong academics, or equivalent experience.
  • At least 3 years of programming experience in Python, C#, or an equivalent language, including object-oriented programming concepts.
  • Hands-on experience developing Python scripts using application development concepts such as dictionaries, tuples, regular expressions, and PIP.
  • Working experience with databases and storage technologies such as SQL, MongoDB, and Elasticsearch.
  • Experience working on Windows operating systems and a solid understanding of GPU, CPU, and SoC architectures.
  • Experience using AI tools to automate test cases and end-to-end quality assurance workflows.
  • 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.

Responsibilities

  • Design and implement automated tests incorporating AI technologies for NVIDIA device driver software and SDKs on Windows platforms.
  • Build tools, utilities, or frameworks in Python, C#, or equivalent to automate and optimize testing workflows in the GPU domain.
  • Develop and implement automated and manual tests, analyze results, and identify and report defects.
  • Drive the test automation initiative by developing methods to automate and expand software testing.
  • Expose defects and constraints, isolate and debug issues, find root causes, contribute to solutions, and drive issues to closure.
  • Measure code coverage for software under test, analyze results, and drive code coverage enhancements.
  • Develop applications and tools that accelerate development and test workflows; write fast, effective, maintainable, reliable, and well-documented code.
  • Generate and test compatibility across a range of products and interfaces, and validate software applications across a test matrix designed for 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.
  • Estimate and prioritize tasks to create a realistic delivery schedule.
  • Work closely with leadership to report progress and generate effective, actionable reports.

Desired Qualifications

  • Familiarity with specifications for general PC architecture components.
  • Strong problem-solving skills, including applying sound logic when isolating and regressing issues, and 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 continuous integration and continuous delivery (CI/CD) pipelines.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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