At NVIDIA, we are at the forefront of innovation in AI, graphics, and computing technology. Our groundbreaking work is redefining industries, from gaming and healthcare, automotive to telecom and beyond. Join us to build the future of technology and make a lasting impact!
What you will be doing:
Establish trusted partner relationships with top 6G and AI-RAN researchers in the network vendors, academia and startups.
Be the subject matter expert on key 6G topics, identifying and engaging researchers who are working on these topics.
Conduct simulation studies, develop algorithms and benchmark the results.
File intellectual properties and write papers for publication in reputed journals.
Follow and attend 3GPP and AI-RAN alliance proceedings, develop contributions, drive ecosystem of partnerships at these bodies.
Collaborate with cross-functional teams, including NV Research, engineering, and solution architects, to drive tasks aligned with our mission.
Analyze sophisticated challenges in realization of AI-native RAN, develop strategies, and implement solutions to achieve project objectives.
Maintain up-to-date knowledge of industry trends and new technologies to drive innovation and ensure project deliverables meet or exceed quality benchmarks that align with NVIDIA’s standards of excellence.
What We Need to See:
Master’s, or PhD in relevant field, e.g., Computer Science, Engineering, Applied Mathematics (or equivalent experience).
8+ years of experience in hands on deep research in Radio Access Network (RAN) architecture, algorithm designs at reputed research organizations and Universities.
Hands on experience in defining and coding AI/ML and LLM algorithms in RAN, with peer reviewed published papers.
Good knowledge of hardware choices for RAN stack, and a vision to evolve the industry to accelerated computing.
Deep understanding of AI and GenAI as applied to wireless networks is a must.
Strong skills in representing the organization at industry bodies, submission of papers.
Proven ability to work in a multifaceted, fast-paced entrepreneurial environments and deliver results.
Ways to Stand Out from the Crowd
A hands-on researcher and innovator in 6G and AI-native RAN.
Understanding of CUDA, TensorFlow, GPU architecture is a strong plus.
Published IEEE research papers and/or 3GPP contributions.
Outstanding communication skills and a passion for groundbreaking transformations in telecom.
Visionary problem solver with passion and dedication to make a profound change in telecom.
If you're eager to contribute to crafting the future of telecommunications and meet the above qualifications, we’d love to hear from you. Submit your application and join NVIDIA as we continue to push the boundaries of what’s possible.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.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
- Master's or PhD in Computer Science, Engineering, Applied Mathematics, or equivalent experience
- 8+ years hands-on deep research in RAN architecture and algorithm design at reputed research organizations or universities
- Hands-on experience defining and coding AI/ML and LLM algorithms in RAN with peer-reviewed publications
- Deep understanding of AI and GenAI as applied to wireless networks
- Good knowledge of hardware choices for RAN stack and vision for accelerated computing
- Experience conducting simulation studies, developing algorithms, and benchmarking results
- Experience representing the organization at industry bodies and submitting contributions (e.g., 3GPP, AI-RAN)
- Proven ability to deliver results in fast-paced, entrepreneurial environments
- Familiarity with CUDA, TensorFlow, and GPU architecture
- Published IEEE research papers and/or 3GPP contributions
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.”
