NVIDIA is looking to develop artificial intelligence (AI), signal processing algorithms and applications for their NVIDIA GPU accelerated wireless platforms to transform how sensor data is collected, communicated, inspected, and analyzed.
Requirements
- A strong foundation and understanding of DSP fundamentals is required, including knowledge of adaptive signal processing and communications theory that includes frequency domain filtering and processing and noise reduction.
- Algorithm development experience and knowledge of deep learning concepts and architectures like CNN's, Transformers and Large Language Models is a significant plus.
- Prior experience developing 5G RAN algorithms, performance optimizations and benchmarking, acceleration architecture etc is a definite plus
- Experience working with deep learning frameworks like TensorFlow, PyTorch and Scikit-learn is critical.
- 12+ years of extensive experience in Deep Learning, Machine Learning and Signal Processing.
Responsibilities
- You will be a key member of a growing software team that can architect, analyze, develop and prototype key deep learning algorithms and solutions.
- Partner with our 6G team to apply AI optimizations in algorithms for Radio Access Networks (RAN) and Packet Core (6GC).
- Work and collaborate with different software, research, and hardware teams across geographies for solving critical problems.
- Understand and analyze the interplay of hardware and software architectures on future applications.
- Support engagements with customers and their third-party software providers, collaboration with Product Managements, Marketing, and Developer Technology teams.
Other
- MS or PhD in Electrical or Computer Engineering or related field or equivalent experience.
- Strong communication skills are required as this position involves working effectively across geographies.
- Travel requirements not specified
- Must be eligible to work in the country where the job is located
