System Software Engineer - Deep Learning

NVIDIA Corporation; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

NVIDIA Bengaluru is seeking a senior engineer to develop solutions around GPU and deep learning accelerators to accelerate inference for ADAS systems. You will shape SDKs and frameworks to advance LLMs and cutting-edge models on the NVIDIA Drive Platform.

You will benchmark, optimize latency and power, and collaborate with teams across US, APAC, India, and Europe to push automotive AI forward.

Qualifications

• 5+ years of experience developing or using deep learning frameworks such as TensorFlow, PyTorch, or ONNX.
• Proficient in C and C++, with strong data structures knowledge.
• Solid OS fundamentals and CPU/GPU architecture understanding.
• Experience optimizing DNN layers for GPUs or DSPs.
• Familiarity with CNN/LSTM/Transformer architectures.
• Understanding of compilers infrastructures like LLVM/MLIR and optimization flows.

Responsibilities

• Develop solutions around NVIDIA GPU and deep learning accelerators to speed up inference for ADAS systems.
• Develop SDKs/frameworks to accelerate LLMs and state-of-the-art models for NVIDIA Drive Platform.
• Conduct benchmarking to improve inference latency, accuracy, and power consumption.
• Stay updated with research in deep learning and implement new ideas for automotive DNNs.
• Manage technical relationships and help automotive customers build solutions using NVIDIA tech.
• Collaborate with engineering teams across US, APAC, India, and Europe.

Skills

Deep learning

C/C++

OS fundamentals

Education

BS or MS in CS/CE/EE

Tools

TensorFlow

Keras

PyTorch

Caffe

ONNX

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology—and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. 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.

NVIDIA DRIVE AI platform supports autonomous driving, in-cabin functions, and driver monitoring, plus other safety features and all in a compact, energy efficient package.

What you'll be doing:

• Develop solutions around NVIDIA GPU and Deep learning accelerators ( DLA )to accelerate inference ADAS Systems
• Develop SDKs / Frameworks to accerate LLMs and state of art models for NVIDIA Drive Platform
• Conduct benchmarking and evaluation activities to continuously improve inference latency, accuracy and power consumption of the models
• Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas to improve NVIDIA's automotive DNNs
• Responsible for the technical relationship and assisting the automotive customer in building creative solutions based on NVIDIA technology
• Collaborate with engineering teams in our US, APAC, India and Europe locations

What we need to see:

• BS or MS degree in Computer Science, Computer Engineering or Electrical Engineering
• 5+ Years of Experience in developing or using deep learning frameworks (e.g. TensorFlow, Keras, PyTorch, Caffe, ONNX, etc.) proven experience in optimizing DNN Layers for GPU or other DSPs
• Understanding of compilers infrastructure like LLVM and MLIR and assciated flow of optimization for DL accelerators
• Proficiency in C and C++ and Data Structures
• Strong OS fundamentals and knowledge of CPU/GPU architecture
• Familiar with state-of-the-art CNN/LSTM/Transformers architecture

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.