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.
You will also be eligible for equity and benefits.
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
- Wireless communication systems or digital signal processing background
- Industry experience developing PHY/MAC layer or baseband unit software in C/C++
- Understanding of PHY/MAC layer procedures and system performance tradeoffs
- Background with LTE/5G MAC and PHY, including systems and low-level 3GPP specifications
- Experience using wireless lab equipment such as signal generators, network analyzers, and power meters
- MS or PhD in Engineering, Mathematics, Physics, Computer Science, or Telecommunications, or equivalent experience
- 8+ years of work-related experience in software development or systems engineering
- Experience in the telecommunications industry or with telecommunications customers or partners
- Strong written and oral communication skills
- Strong time-management, organization, analytical, and problem-solving skills
- Ability to work independently or take a technical leadership role
- CUDA/GPU programming experience
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.
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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.
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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.
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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
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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