System Software Engineer - Deep Learning
- Nvidia
- 5 - 10 years
- Bengaluru
- 3 months ago
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Job Description
What youll be doing:
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Develop solutions around NVIDIA GPU and Deep learning accelerators ( DLA )to accelerate inference ADAS Systems
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Develop SDKs / Frameworks to accerate LLMs and state of art models for NVIDIA Drive Platform
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Conduct benchmarking and evaluation activities to continuously improve inference latency, accuracy and power consumption of the models
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Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas to improve NVIDIAs automotive DNNs
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Responsible for the technical relationship and assisting the automotive customer in building creative solutions based on NVIDIA technology
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Collaborate with engineering teams in our US, APAC, India and Europe locations
What we need to see:
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BS or MS degree in Computer Science, Computer Engineering or Electrical Engineering
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5+ Years of Experience in developing or using deep learning frameworks (e.g. TensorFlow, Keras, PyTorch, Caffe, ONNX, etc.)
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proven experience in optimizing DNN Layers for GPU or other DSPs
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Understanding of compilers infrastructure like LLVM and MLIR and assciated flow of optimization for DL accelerators
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Proficiency in C and C++ and Data Structures
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Strong OS fundamentals and knowledge of CPU/GPU architecture
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Familiar with state-of-the-art CNN/LSTM/Transformers architecture
Job Classification
Industry: Electronic Components / SemiconductorsFunctional Area / Department: Engineering - Software & QARole Category: Quality Assurance and TestingRole: Post Silicon Test EngineerEmployement Type: Full timeContact Details:
Company: NvidiaLocation(s): Bengaluru
Keyskills: Computer science Infotainment deep learning C++ Computer graphics Data structures System software Gaming Monitoring Automotive
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