Company Overview
We are developing an innovative HW/SW computing platform for DL inference acceleration which sets new, unprecedented, bars of high performance and cost. Our platforms are targeted for cloud and enterprise (in-perm) environments.
Role description:
- You will join the core AI/ML Pipeline development team which is responsible for the following main deliverables:
- Designing, analyzing, and optimizing workloads from various sources (open source, customer-provided, home-grown) on Neureality platforms. The focus is on workloads for NLP, speech, and computer vision.
- Benchmarking and competitive analysis of workloads on other inference acceleration platforms.
- Working directly with customers on new requirements and efficient deployment of their workloads on
Requirements:
- BSc/MSc in Computer Science or Computer Engineering from an accredited university
- 3 years of hands-on experience in Python programming and DL frameworks (mainly PyTorch)
- Experience in hardware/embedded systems is an advantage
- Experience in implementing algorithms on embedded systems
- Experience in ML engineering and specifically, developing AI pipelines (composed of trained DL models and pre/post-processing), data streaming, model zoo handling, and inference serving in production environments.
- Hybrid model- 2 times a week in office