SoC Product Architect, Telecom AI RAN

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.<br><br>Telecom networks are becoming AI‑native, cloud‑native, and software‑defined. Our Telecom team is building a GPU‑accelerated AI‑RAN platform that transforms how radios and basebands are designed and deployed across 5G, 5G‑Advanced, and 6G. In the role of Lead SoC Product Architect for Telecom AI RAN (RU/DU), you define SoC and platform architecture for radio and distributed unit products. You develop NVIDIA’s AI-RAN roadmap. You work directly with top operators and NEPs to bring software-defined baseband to production at scale.<br><br><strong>What You’ll Be Doing<br><br></strong><ul><li>Define the SoC product family and roadmap concerning Radio Access Networks in telecommunications. Partition responsibilities for CPU, GPU, and accelerators. Set power and cost targets. Specify scalability from coordinated RU/DU appliances to cloud-hosted O-DU.</li><li>Perform detailed workload and use‑case analysis pertaining to RU and DU (FR1/FR2, MIMO layers, bandwidth, carrier aggregation, CoMP, mMIMO), and map these requirements into SoC features, memory hierarchies, accelerators, and interconnect.</li><li>Drive competitive analysis versus traditional baseband ASICs and alternative vRAN / O‑RAN solutions, including performance, perf/W, silicon cost, flexibility, and upgradeability; use these insights to refine SoC and system direction.</li><li>Collect and synthesize customer and ecosystem requirements from operators, NEPs, and software partners, and feed them into SoC, board, and software roadmaps with clear, prioritized product requirements.</li><li>Collaborate with NVIDIA’s RAN software, AI, and cloud‑native engineering teams to ensure that the SoC architecture, reference platforms, and SDKs support efficient implementation of AI‑native RAN applications and rapid adoption of new 3GPP/O‑RAN releases.</li><li>Present deeply technical content to customers, partners, and internal leadership, clearly explaining architectural tradeoffs, performance results, and roadmap proposals for RU and DU products.<br><br></li></ul><strong>What We Need To See<br><br></strong><ul><li>MS in Electrical Engineering, Computer Engineering, Computer Science, or related field, or equivalent experience.</li><li>15+ years of experience in wireless RAN/baseband architecture or SoC product definition, with significant time focused on 4G/5G L1/L2 and/or O‑RAN / vRAN systems.</li><li>Proven track record defining SoC or platform architectures for high‑performance communications or signal‑processing products, including hardware/software partitioning, accelerator strategy, and memory / I/O requirements.</li><li>Comprehensive knowledge of 3GPP RAN standards (4G/5G, NR, NR-Advanced) and O-RAN split architectures, including the functions of radio and distributed units, fronthaul, timing, and synchronization. Understanding of how these affect compute, latency, and bandwidth needs of radio and distributed units.</li><li>Strong knowledge of L1/PHY algorithms (OFDM, MIMO, beamforming, channel estimation, LDPC/FEC). Understand how they run on central processors, graphics processors, and dedicated accelerators. Practical experience with one commercial-grade 4G/5G PHY or MAC implementation required.<br><br></li></ul><strong>Ways To Stand Out From The Crowd<br><br></strong><ul><li>Direct involvement in architecting GPU‑ or accelerator‑based RAN or signal‑processing systems, or in bringing a major vRAN / O‑RAN product from concept to commercial deployment.</li><li>Experience defining or implementing AI‑native RAN use cases (e.g., AI‑assisted scheduling, channel prediction, traffic forecasting, anomaly detection, or energy optimization) and understanding their impact on RU/DU compute and memory.</li><li>Hands‑on experience with O‑RAN and 3GPP standardization activities, ORAN WG contributions, or multi‑vendor interoperability programs.</li><li>Prior customer‑facing role conducting competitive analysis, design‑ins, or technical workshops with Tier‑1 operators, NEPs, or cloud providers.<br><br></li></ul>NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward‑thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!<br><br>Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.<br><br>You will also be eligible for equity and benefits.<br><br>Applications for this job will be accepted at least until May 2, 2026.<br><br>This posting is for an existing vacancy.<br><br>NVIDIA uses AI tools in its recruiting processes.<br><br>NVIDIA is committed to fostering a diverse 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.<br><br>, , JR2017206<br><br>