NVIDIA Corporation

Developer Relations Manager, Telecom

NVIDIA Corporation$184K — $356K *
Telecommunications & Hardware
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Master's or PhD in relevant field such as Computer Science, Engineering, or Applied Mathematics.
  • 8+ years of hands-on deep research in Radio Access Network (RAN) architecture and algorithm design.
  • Experience defining and coding AI/ML and LLM algorithms in RAN, with peer-reviewed publications.
  • Knowledge of hardware choices for RAN stack and a vision for accelerated computing.
  • Understanding of AI and GenAI as applied to wireless networks is essential.
  • Strong representation skills at industry bodies and a track record of paper submissions.
  • Ability to thrive in fast-paced, multifaceted entrepreneurial environments.

Responsibilities

  • Establish trusted partnerships with top researchers in 6G and AI-RAN fields.
  • Serve as a subject matter expert to engage with key researchers.
  • Conduct simulations, develop algorithms, and benchmark results.
  • File intellectual properties and publish research in respected journals.
  • Represent the organization in 3GPP and AI-RAN alliance meetings and contribute to discussions.
  • Collaborate with cross-functional teams to align tasks with mission objectives.
  • Analyze challenges in AI-native RAN and implement solutions.

Benefits

  • Equity participation in the company.
  • Comprehensive health and wellness benefits.
  • Opportunities for professional development and growth.
  • Flexible work environment promoting work-life balance.
  • Engagement in cutting-edge projects at the forefront of technology.
Full Job Description
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.

Applications for this job will be accepted at least until July 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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