Senior Software Engineer Aerial Platform

NVIDIA•Santa Clara, CA

About The Position

NVIDIA is seeking a self-motivated senior software engineer to drive development, performance, and scalability of the Aerial CUDA Accelerated RAN platform, a framework for building high-performance, software-defined, cloud-native Radio Access Network functions on NVIDIA CPU/GPU/DPU systems. The role focuses on cutting-edge technology for 5G and 6G networks and software-defined digital signal processing. The engineer will develop an end-to-end reference system stack for 5G/6G baseband systems, optimize platform subsystems, implement baseband functions, and support integration, testing, demonstrations, and customer or partner trials. The role also serves as a technical bridge between NVIDIA engineering teams and partner or customer engineering teams. The ideal candidate has a wireless communications or digital signal processing background and experience building carrier-grade communications systems, including PHY/MAC or baseband unit software. They should understand PHY/MAC procedures, LTE/5G systems, 3GPP specifications, and system performance tradeoffs, and be able to work across both high-level system design and low-level implementation details. The position requires at least eight years of related experience. An MS or PhD in a relevant field, or equivalent experience, is requested; CUDA/GPU programming experience is a plus. The base salary range is $184,000–$287,500 for Level 4 and $224,000–$356,500 for Level 5. Salary depends on location, experience, and pay of employees in similar positions. The role is also eligible for equity and benefits. Applications will be accepted at least until October 31, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer committed to an inclusive workplace.

Requirements

Background in wireless communications systems or digital signal processing.
Industry experience developing PHY/MAC-layer or baseband unit (BBU) software in C/C++.
Understanding of PHY/MAC-layer procedures, typical performance tradeoffs, and overall system performance.
Background with LTE/5G MAC and PHY from both systems and low-level 3GPP specification perspectives.
Ability to move between high-level systems views and low-level details of complex wireless systems.
Comfort using wireless laboratory equipment such as signal generators, network analyzers, and power meters.
At least 8 years of proven work-related experience in software development and systems engineering.
Ability to work as an individual contributor or take a technical leadership role.
Strong written and oral communication skills and ability to collaborate effectively with management and engineering.
Experience in the telecommunications industry or working with customers or partners in the telecommunications domain.
Strong time-management and organizational skills for coordinating multiple initiatives, priorities, and implementations of new technology and products in complex projects.
Strong analytical and problem-solving skills.
MS or PhD in Engineering, Mathematics, Physics, Computer Science, or Telecommunications, or equivalent experience.

Nice To Haves

Exposure to CUDA/GPU programming.

Responsibilities

Lead the design and development of an end-to-end reference system stack for 5G/6G baseband systems.
Optimize CPU, GPU, and NIC subsystems for predictable low latency and maximum throughput.
Collaborate with cross-functional teams to identify and resolve performance bottlenecks in CPU, GPU, and NIC subsystems.
Troubleshoot and integrate complex software modules in a laboratory environment.
Develop software and implement new baseband functions using C, C++, Python, and CUDA on a GPU platform.
Support system integration, performance testing, system demonstrations, and laboratory trials for end-to-end systems.
Act as a technical bridge between NVIDIA engineering teams and partner or customer engineering teams.
Engage with customer field trials and technical teams.
Implement missing features to unblock progress at customers and partners.
Benchmark and develop or evaluate test tools for Aerial SDK evaluation.