Autonomous Driving AI Inference & Framework Engineer

Black Sesame Technologies Inc; San Jose (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Black Sesame Technologies Inc in San Jose is seeking an experienced AI/ML engineer to deploy AI inference and end-to-end enablement on BST Intelligence processors. You will integrate AI frameworks and optimize model accuracy and latency for real-time applications.

Ideal candidates have MS/PhD, strong Python/C++, experience with PyTorch and TensorFlow, and knowledge of quantization, pruning and distillation to drive efficient deployment.

Qualifications

• MS or PhD in CS, CE, Applied Math or related field.
• Strong Python or C++ programming and software design.
• Experience with PyTorch or TensorFlow.
• Experience with model quantization, pruning, and distillation.
• Ability to work independently and lead development efforts.

Responsibilities

• Contribute to deep learning infrastructure, data pipelines, tools and workflows for AI at scale.
• Write software to deploy AI models and pipelines in real-time applications (inference).
• Apply low-precision inference, quantization, and compression of DNNs.
• Continuously improve inference latency, accuracy and power consumption of DNNs.
• Stay up to date with the latest research in deep learning and experiment with new ideas.

Skills

Python

C/C++ programming

Deep learning

Perf analysis

Software design

Education

MS or PhD in CS/CE/Applied Math

Tools

PyTorch

TensorFlow

Job description

Black Sesame Technologies Inc in San Jose is seeking an experienced AI/ML engineer to deploy AI inference and end-to-end enablement on BST Intelligence processors. You will integrate AI frameworks and optimize model accuracy and latency for real-time applications.

Ideal candidates have MS/PhD, strong Python/C++, experience with PyTorch and TensorFlow, and knowledge of quantization, pruning and distillation to drive efficient deployment.