Full-Time
Software Tools Development Engineer
Posted on 5/9/2026
NVIDIA
10,001+ employees
Designs GPUs and AI HPC platforms
No salary listed
Pune, Maharashtra, India
In Person
On-site role based in Pune, India.
 Software Engineering (2) |
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- B.S / B.Tech/M.S in Computer Science / Electronics & Telecommunication with strong academics or equivalent experience.
- 4+ years of programming experience in Python or equivalent 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 understanding of OS fundamentals, PC Hardware fine-tuning in those areas (Linux, Unix, Windows)
- Experience using AI tools to automate test cases as well as end-to-end QA workflow.
- Good Communication skills (interpersonal and across teams).
- Excellent analytical and problem-solving skills.
- Very organized, proactive, and has good learning ability.
- The ability to work with a team of engineers in a fast-paced environment
- Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on various Linux operating systems.
- Build tools/utility/framework in Python or equivalent which would help automate and optimize the testing workflows in GPU domain . Develop and implement 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.
- 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.
- Good problem-solving skills (solid logic to apply in isolation and regression of issues found) and good written communications skills
- Substantial experience with AI-driven automation
- Ability to work in a distributed team environment
- Development experience capable of fixing regression bugs , implementing/enabling test for CI/CD
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
- Toyota adopts NVIDIA DRIVE AGX Orin, boosting automotive revenue 103% in Q4 FY2025.
- SoftBank plans NVIDIA AI servers in Japan by 2030; IREN deploys 5GW infrastructure.
- NVIDIA reaches $5.5T market cap with $216B FY revenue and $400B projected FCF.
What critics are saying
- Broadcom supplies custom chips to Google through 2031, Anthropic from 2027, OpenAI.
- China revenue hits zero from $17B due to US restrictions, $4.5B Q1 2026 charge.
- B200 GPU rentals drop 30% as sentiment flips bearish, cooling FY2027 $78B guidance.
What makes NVIDIA unique
- NVIDIA invented the GPU in 1999, pioneering accelerated computing.
- CUDA platform from 2006 enables GPUs for AI and parallel computing.
- Full-stack AI infrastructure powers 80% of AI training GPUs in 2025.
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