NVIDIA Aerial CUDA Accelerated RAN (ACAR) 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 performance engineer to drive 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!
What you'll be doing:
As a member of Aerial RAN team working for 5G and 6G networks, you will be responsible for:
Optimizing CPU, GPU and NIC sub-systems for predictable low-latency and maximum efficiency
Crafting and implementing performance verification tools, frameworks and dashboards
Monitoring and prioritizing performance regressions reported by CI/CD
Collaborating with multi-functional teams to solve performance bottlenecks in CPU, GPU and NIC sub-systems
Benchmarking performance use-cases on different platforms
What we need to see:
BS/MS (or equivalent experience) in a relevant field and 10+ years’ experience or PhD with 5+ years’ experience or equivalent.
Strong software design, development, debugging and testing skills.
Hands-on experience with performance analysis, characterization and optimization.
Experience with programming latency sensitive, real-time, multi-threaded applications on CPUs and one or more of GPUs or DSPs or Vector processors.
Deep knowledge of CPU, DSP or GPU architecture, as well as memory, I/O and networking interfaces.
Familiarity with data science and using visualization tools to summarize large quantities of data.
Experience in one or more programming / scripting languages: C/C++, Python, shell scripting.
Ways to stand out from the crowd
Experience in designing and managing firmware timelines for wireless SoCs used in cellular wireless networks and/or terminals!
Track record in E2E design/testing of signal processing algorithms at the PHY layer or resource allocation optimization at MAC level.
CUDA experience highly desired.
Appetite to learn the details of how next generations of GPU will operate and build an outstanding Software-Radio 5G/6G stack that can fully demonstrate their power.
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 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.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.
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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.”
