Job Summary

Kinara is a Bay Area-based venture backed company. Our architecture is based on research done at Stanford University by Rehan Hameed and Wajahat Qadeer under the guidance of legendary Prof. Mark Horowitz and Prof. Christos Kozyrakis.

Kinara solutions embed high-performance AI into edge devices to create a smarter, safer, and more enjoyable world. Edge AI is on the brink of a boom, and Kinara is looking forward to playing a significant role in it.

Responsibilities

- Will be part of a highly talented global team developing neural network systems.
- Will have the chance to develop the application and system software for a cutting-edge AI silicon.
- Member of a software engineering team, you will design and implement compilers, translators for AI computing system
- Work closely with ASIC and hardware teams,



propose architectural features and develop software for the system and build the highest perf/watt system

Qualifications

- Excellent knowledge of Python/C/C++, data structures and algorithms.
- Experience in neural network frameworks like TensorFlow, ONNX, Caffe, PyTorch etc. is a plus
- BTech/MTech with 10+ years of experience in software development

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Lead Engineer - Compilers (Hyderabad)
🏢 Kinara.ai
📍 Hyderabad