Senior Developer Relations Manager - Telecom

Reposted 2 Months Ago
Be an Early Applicant
Hiring Remotely in Santa Clara, CA, USA
In-Office or Remote
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead developer relations and research partnerships in 6G and AI-native RAN. Conduct simulations, design and code AI/ML and LLM algorithms for RAN, publish papers and IP, engage 3GPP and AI-RAN bodies, and collaborate with cross-functional teams to drive accelerated-computing solutions.
Summary Generated by Built In

At NVIDIA, we are at the forefront of innovation in AI, accelerated computing, and networking. Our work is redefining industries from healthcare and automotive to telecommunications. In this role, you will build and grow NVIDIA's engagement with the global Telco, 6G, and AI-native RAN developer ecosystem, working directly with partners, universities, research institutes, and industry innovators to advance next-generation wireless networks through applied research, hands-on prototyping, and ecosystem development.


What You'll Be Doing:

  • Develop and maintain deep technical expertise in 6G, AI-native RAN, and wireless research. Serve as the trusted technical advisor, problem solver, and champion for the developer ecosystem in Telco, 6G, and AI-native RAN, with cross-functional partners to drive adoption of NVIDIA technologies.
  • Accelerate critical workloads by demonstrating and integrating the NVIDIA software stack (tools, libraries, SDKs, NIMs, and blueprints) into partner products, platforms, and pipelines.
  • Guide partners through onboarding and integration by providing technical resources—such as sample code, guides, and demo pipelines—to accelerate 6G/AI-RAN-specific adoption and foster co-innovation of next-generation solutions.
  • Map and monitor the developer ecosystem to identify growth opportunities, collaborating with engineering, product management, and marketing to inform roadmaps and optimize partner adoption strategies.
  • Engage partner technical leaders to drive best-practice integrations and resolve technical challenges, using regular syncs to track adoption, surface new workflows, and channel critical field insights back to NVIDIA product teams.
  • Establish trusted relationships with leading universities, research institutes, faculty, principal investigators, graduate students, and applied research labs working on 6G, AI-RAN, wireless AI, and accelerated computing; connect their work with NVIDIA platforms, software, research, and product roadmaps.
  • Build hands-on proof-of-concepts and reference prototypes for AI-native RAN—including simulation, algorithm development, model training and inference, system integration, benchmarking, and experimental validation including over the air testing—enabling researchers to adopt NVIDIA technologies through reproducible code, notebooks, sample applications, and technical guides.
  • Represent NVIDIA in academic conferences, technical workshops, 3GPP-related forums, and the AI-RAN Alliance; develop technical contributions and cultivate partnerships across the global 6G research and standards community.

What We Need to See:

  • Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, Electrical Engineering, or a related field.
  • A minimum of 10+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, solutions architect, or product management, including 5+ years of direct hands-on experience in wireless communications, Radio Access Network (RAN) architecture, advanced algorithm development, or applied AI research—including experience working with universities, research institutes, or collaborative research programs.
  • Proven experience leading, partnering, and scaling developer programs at major technology companies, and Telco/6G/AI-RAN ISVs, or within relevant verticals.
  • Significant technical depth in Telco and wireless communications software including AI/ML frameworks (PyTorch, TensorFlow), wireless simulation environments (MATLAB, Python-based simulators, software-defined radio, over the air RAN testbeds), GPU-accelerated computing, and RAN software stacks, and contributions to product integrations and software libraries.
  • Experience leading technical collaborations with engineering and product teams—including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops.
  • Proven ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external collaborators (across sales, legal, product, or marketing teams as needed).
  • Skilled at distilling complex technical concepts for audiences from engineers to executives, with end-to-end experience in defining, integrating, building, and jointly marketing solutions with strategic ISV partners.

Ways to Stand Out from the Crowd:

  • Hands-on experience building or optimizing vertical-specific solutions (e.g., network stacks, AI-native RAN algorithms, PHY-layer signal processing pipelines, or end-to-end 5G/6G RAN prototype systems).
  • Familiarity with advanced computing, AI, and/or GPU acceleration platforms (CUDA, Aerial SDK, TensorRT, NeMo, cuBLAS, or other NVIDIA frameworks relevant to AI-native wireless and accelerated RAN).
  • Successful history of building and scaling developer communities and delivering impactful technical enablement programs.
  • Expertise in building frameworks to capture developer sentiment and market shifts, translating real-time ecosystem dynamics into actionable intelligence for Telco/6G/AI-RAN industry strategy and product rationalization.
  • Published IEEE or ACM research, 3GPP contributions, or recognized technical leadership in AI for wireless or AI-native RAN; established relationships and engagement across the global 6G research ecosystem including universities, government-funded research programs, and industry consortia such as the AI-RAN Alliance and O-RAN Alliance.

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 October 16, 2026.

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.

  • 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.
  • 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.
  • 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

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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