We are seeking a qualified Tools Development Engineer to join our Certification team. In this role, you will collaborate with talented engineers to solve complex challenges in cutting-edge technology. You will be mentored by some of the best minds in the industry and will have the opportunity to make meaningful contributions to exciting products and projects.
The immediate focus will be to ramp up on testing practices and existing automation tools used across the certification programs owned by the team, including HLK, HDMI, DP, ESXi, and Google xTS. You will then help build new solutions that improve productivity, tracking, and operational efficiency.
The position needs new hire to work onsite from the office in Pune, India.
What You’ll Be Doing:
Utilize various certification kits to test software and hardware features of our products, ensuring certification-level quality across all stages of the development cycle, from emulation to production. This includes a wide range of functional areas such as graphics, display, audio, multimedia, USB, hypervisors, and virtual machines.
Develop a thorough understanding of all functional and process-related areas within the hardware and functional certification ecosystem.
Work actively with existing UI and automation tools by integrating internal and external APIs, formulate and deploy multi-agent systems to optimize existing workflows and to build new automated solutions.
Communicate accurate, timely, and effective status updates to management and key internal and external partners.
Drive operational excellence by defining and improving processes, using innovative problem-solving methods to increase organizational efficiency and support strategic goals.
Represent the team in internal meetings such as release planning, bug scrubs, and project status reviews, as well as external discussions with certification authorities and partners.
Engage with software development teams when reporting certification bugs, providing key debugging information and data points to help drive timely closure.
Collaborate with the broader QA team to identify opportunities for leverage and to build tools that can help large scale use cases.
Become a champion of quality for every NVIDIA product you work on, and help promote that same mindset across the team and cross-functional organizations.
What We Need to See:
Engineering degree in Computer Science, IT, ECE, or a related field, with strong academic performance.
5+ years of total experience with excellent programming skills in Python and C#, including the ability to write logical scripts and code from scratch.
Demonstrated ability to design, build, and deploy AI/ML and agentic AI solutions to accelerate automation development and testing workflows.
Strong familiarity with AI-native development tools such as Codex, Claude Code, Cursor, and LLM APIs to improve engineering velocity.
Clear understanding of LLM failure modes, including hallucination and context degradation and prevention methods.
Working experience with .NET Core, SQL for persistent data storage and queries, and version control tools such as GitHub and Perforce.
Strong understanding of PC HW and Operating Systems architecture (Windows, Linux or Android)
Hands-on experience with Linux environments, including advanced scripting and command-line operations.
Ability to manage conflicting or changing priorities while maintaining a positive attitude in an ambitious and dynamic environment.
Ability to work with geographically dispersed teams and attend reviews or meetings to maintain alignment.
Skills Required
- Engineering degree in Computer Science, IT, ECE, or related field with strong academic performance.
- 5+ years of experience with excellent programming skills in Python and C#; ability to write scripts and code from scratch.
- Demonstrated ability to design, build, and deploy AI/ML and agentic AI solutions to accelerate automation development and testing workflows.
- Strong familiarity with AI-native development tools such as Codex, Claude Code, Cursor, and LLM APIs.
- Clear understanding of LLM failure modes (hallucination, context degradation) and prevention methods.
- Working experience with .NET Core.
- Experience with SQL for persistent data storage and queries.
- Experience with version control tools such as GitHub and Perforce.
- Experience using certification kits and frameworks (HLK, HDMI, DP, ESXi, Google xTS).
- Strong understanding of PC hardware and operating system architecture (Windows, Linux, or Android).
- Hands-on experience with Linux environments, including advanced scripting and command-line operations.
- Ability to manage conflicting or changing priorities and work with geographically dispersed teams.
- Willingness to work onsite from the office in Pune, India.
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
