- On November 16, 2018
Location: Chennai, India
Description: Multicoreware Inc focuses on developing heterogeneous software for Media and Automotive markets. It develops and licenses world-class video codec libraries, such as the open-source HEVC encoding library x265, and supports tier-1 streaming video services and video encoding solution providers. As a Technical Lead, you will join MulticoreWare’s growing team of engineers, and architects in its design centre in Chennai, India, to implement, and deliver world-class solutions to problems in video pipelines and products, faced by MulticoreWare and its customers in real-world environments.
Job Role: Software Engineer
Job Description / Essential Functions: Use Deep Learning to create new, scalable solutions for Computer Vision problems. Analyze and extract relevant information from large amounts image/video data to help automate and optimize key applications, develop and evaluate state of art algorithms. Establish scalable, efficient, automated processes for large model development, model validation, model implementation and deploying models to production.
Skills & Responsibilities:
- Design and train machine learning models leveraging the vast amount of available data to get best prediction quality.
- Design APIs and develop and deliver implementations for machine learning based algorithms on specific hardware.
- Port and optimize pre-trained CNN models onto a specific hardware platform (CPU/DSP/GPU/NN accelerators).
- Work with customers and partners on customization for specific use cases and applications.
Required Education & Experience:
- Good in Computer Science – Data Structures & Algorithms.
- At least 1+ years of software development experience (with a BE degree).
- At least 1 year of experience in C/C++ programming.
- Experience with GIT, the ability to combine different implementations from GitHub.
- Python experience will be an added advantage.
- An excellent problem solver with research oriented approach.
- Self-driven and motivated to overcome any kind of problem.
- Algorithms Geek and researcher in field of data science.
- Passionate in delivering results in a dynamic collaborative environment.