Full-Time
Automation and Tools Development Engineer
Posted on 12/10/2025
NVIDIA
10,001+ employees
Designs GPUs and AI HPC platforms
No salary listed
Pune, Maharashtra, India
In Person
 QA & Testing (1) |
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- B.E / B.Tech in Computer Science / Electronics & Telecommunication with strong academics or equivalent experience.
- 5+ years of programming experience in Python/C/C++ with experience in applying Object-Oriented Programming concepts.
- Hands-on knowledge of developing Python scripts with application development concepts like dictionaries, tuples, RegEx, PIP etc.
- Working experience with databases and storage technologies like SQL, MongoDB and Elasticsearch.
- Good Communication skills (interpersonal and across teams).
- Excellent analytical and problem solving skills.
- Very organized, proactive, and has good learning ability.
- Strong in OOPs concepts and Data structures and Knowledge of SQL/NoSQL Database management tools.
- Would be a plus to have hands on experience in development of Web Application (ASP.Net, MVC, web services).
- Design and implement automated tests leveraging AI technologies for NVIDIA's device driver software and SDKs on various Windows and Linux operating systems.
- Build tools/utility/framework in Python / C / C++ which would help automate and optimize the testing workflows in GPU domain and Develop and execute 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.
- Provide peer code reviews including feedback on performance, scalability and correctness.
- 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 by generating effective and actionable reports.
- 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 breath and depth.
- Good problem solving skills (solid logic to apply in isolation and regression of issues found).
- Ability to work in a distributed team environment.
- Good written communications skills is crucial.
NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.
Company Size
10,001+
Company Stage
IPO
Headquarters
Santa Clara, California
Founded
1993
Simplify's Take
What believers are saying
- Data centers generate 89% of $215.9B FY2026 revenue.
- $40B acquisitions like OpenAI bolster AI infrastructure dominance.
- Nemotron models and Drive Thor accelerate agentic AI adoption.
What critics are saying
- AMD MI450X outperforms Blackwell by 25% per watt in inference.
- Huawei Ascend 910D blocks $10B China AI sales due to bans.
- Google TPU v6 cuts hyperscaler GPU dependency by 60%.
What makes NVIDIA unique
- NVIDIA invented GPU in 1999, pioneering accelerated computing.
- CUDA platform from 2006 enables GPUs for AI and HPC.
- Holds 92% discrete GPU market share as of Q1 2025.
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6 month growth
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↓ -3%2 year growth
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Nvidia shares have climbed 18% over a ten-day winning streak, the longest since 2023. The stock is trading about 8% below its October all-time high of $212.19. CEO Jensen Huang revealed at last month's GTC conference that Nvidia has over $1 trillion in GPU orders through 2027, including Blackwell and next-generation Vera Rubin chips. Data centre revenue surged 75% year-over-year and now comprises 88% of the business, a dramatic shift from five years ago when gaming dominated. The rally follows major deals including Meta's February commitment to deploy millions of Nvidia chips across its global data centres. On Monday, Nvidia denied rumours it was pursuing acquisitions of PC makers Dell or HP. The company also unveiled Ising, a new family of open-source models for quantum computing.
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