NVIDIA redefined modern computer graphics, high performance computing and artificial intelligence. We are well positioned as the ‘AI Computing Company,’ and our GPUs are the brains powering Deep Learning software frameworks, accelerated analytics, big data, modern data centers, smart cities, and driving autonomous vehicles. If you are forward-thinking, hardworking, driven and if collaborating with extraordinary people across countries sounds exciting, this job is for you!
NVIDIA is seeking a Legal Operations Engineer to help build proprietary software solutions and AI workflows to support our mission of improving NVIDIA Legal efficiency. Legal Operations is the hub for the application of business principles, processes, and technology to improve the efficiency, productivity, and cost-effectiveness of our in-house legal department. In this role, you act as a forward-looking partner for the Legal Department. You turn legal service delivery into a competitive advantage by groundbreaking use of data, technology, and AI to support NVIDIA’s global innovation and scale. We operate at the intersection of law and the most transformative trends in technology, and we value initiative, continuous learning, and engineering excellence.
What You Will Be Doing:
Designing, implementing, and documenting software tools, custom scripts, and automated workflows to streamline legal department processes.
Integrating and expanding our core legal tech stack—including CounselLink, Anaqua, and DocuSign CLM—with enterprise systems, APIs, custom tools, and automated data pipelines.
Architecting end-to-end technical solutions for high-impact areas like legal intake triage, contract automation, IP operations, and spend analytics.
Working directly with the Legal Operations manager, attorneys, paralegals, and partners from multiple functions in IT and Finance to translate legal workflows into scalable software solutions.
Maintaining user documentation, system architectures, and infrastructure to ensure stability and security across our internal tools.
What we need to see:
Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical subject area (or equivalent experience).
3+ years of professional software development or automation engineering experience.
Proven track record to design, implement, and document complete solutions end-to-end.
Strong programming foundation in languages such as Python, JavaScript/TypeScript, alongside a background involving RESTful APIs and enterprise integrations.
Strong curiosity and active willingness to learn how legal teams operate and how corporate law works.
Ways to stand out from the crowd:
Prior experience building integrations or custom solutions tailored to internal workflow.
Experience working with legal tech platforms such as DocuSign, Anaqua, or CounselLink
Hands-on experience with generative AI, LLM APIs, prompt engineering, or low-code/no-code internal tool builders (e.g., Retool, Streamlit, Power Automate).
Ability to work independently and proactively in a fast-paced, multi-functional environment while translating complex technical concepts for non-technical team members.
A passion for continuous learning, innovation, and pioneering the modern AI-driven enterprise.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical subject area, or equivalent experience
- 3+ years of professional software development or automation engineering experience
- Proven ability to design, implement, and document complete end-to-end solutions
- Strong programming foundation in Python, JavaScript, or TypeScript
- Experience with RESTful APIs and enterprise integrations
- Curiosity and willingness to learn how legal teams operate and how corporate law works
- Experience building integrations or custom solutions for internal workflows
- Experience with DocuSign, Anaqua, or CounselLink
- Hands-on experience with generative AI, LLM APIs, prompt engineering, or low-code/no-code internal tool builders
- Ability to work independently and proactively in a fast-paced, multifunctional environment
- Ability to translate complex technical concepts for nontechnical team members
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.”
