Job description

NVIDIA Aerial CUDA Accelerated RAN is framework for building high-performance, software-defined, cloud-native Radio Access Network functions over NVIDIA CPU/GPU/DPU based systems. We are seeking a self-motivated senior software engineer to drive development, performance and scalability of our platform. This position offers the opportunity to work on cutting-edge technology for 5G and 6G networks, using NVIDIA s world-class compute platforms to advance the field of software-defined digital signal processing stack! 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. What you will be doing: Lead design and development of ground breaking end-to-end reference system stack for 5G/6G baseband system. Optimizing CPU, GPU and NIC sub-systems for predictable low-latency and maximum throughput Collaborating with cross-functional teams to solve performance bottlenecks in CPU, GPU and NIC sub-systems Work in lab environment to trouble-shoot and integrate complex software modules. Develop software, implementing new baseband functions in C/C /Python/CUDA on a GPU platform. Support system integration, performance testing, system demonstration and lab trials for end-to-end system. Be a technical bridge between engineering team and partners/customers engineering team. Engage with customer field trials and technical teams. Help in implementing missing features to unblock progress at customers/partners and in benchmarking and develop/evaluate test tools for Aerial SDK evaluation. What we need to see: Our ideal candidate has a wireless communication systems or digital signal processing background, a passion for building real-world carrier-grade communication systems, and industry experience developing PHY/MAC layer or base band unit (BBU) software in C/C . Understanding of the PHY/MAC layer procedures and typical performance tradeoffs, as well as overall system performance. Background with LTE/5G MAC and PHY from both systems and low-level 3GPP spec point of view. Ability to switch between high-level systems view and low-level detail view of complex wireless systems. Comfortable using wireless lab equipment such as signal generators, network analyzers, power meters, etc. Exposure to CUDA/GPU programming is a plus. MS or PhD in Engineering, Mathematics, Physics, Computer Science or Telecommunications (or equivalent experience) 8 years of work-related proven experience in software development, systems engineering. Ability to work as an individual contributor or take a technical leadership role. Strong written and oral communication skills with the ability to effectively collaborate with management and engineering. Experience in the telecommunications industry or with customers/partners in the telecommunications domain. Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects. Strong analytical and problem-solving skills. 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 31, 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.

Requirements

Must-haves

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.
Lead design and development of ground breaking end-to-end reference system stack for 5G/6G baseband system.
Optimizing CPU, GPU and NIC sub-systems for predictable low-latency and maximum throughput
Collaborating with cross-functional teams to solve performance bottlenecks in CPU, GPU and NIC sub-systems
Work in lab environment to trouble-shoot and integrate complex software modules.
Develop software, implementing new baseband functions in C/C /Python/CUDA on a GPU platform.
Support system integration, performance testing, system demonstration and lab trials for end-to-end system.
Be a technical bridge between engineering team and partners/customers engineering team. Engage with customer field trials and technical teams.
Help in implementing missing features to unblock progress at customers/partners and in benchmarking and develop/evaluate test tools for Aerial SDK evaluation.
Understanding of the PHY/MAC layer procedures and typical performance tradeoffs, as well as overall system performance.
Background with LTE/5G MAC and PHY from both systems and low-level 3GPP spec point of view. Ability to switch between high-level systems view and low-level detail view of complex wireless systems.
MS or PhD in Engineering, Mathematics, Physics, Computer Science or Telecommunications (or equivalent experience)
8 years of work-related proven experience in software development, systems engineering.
Ability to work as an individual contributor or take a technical leadership role. Strong written and oral communication skills with the ability to effectively collaborate with management and engineering.
Experience in the telecommunications industry or with customers/partners in the telecommunications domain.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until October 31, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

Comfortable using wireless lab equipment such as signal generators, network analyzers, power meters, etc. Exposure to CUDA/GPU programming is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonai

Platform: workday
Effort: long