Machine Learning Algorithm Engineer

proteanTecs is a dynamic fast-paced start-up company, transforming the way reliability of electronics is achieved. In a world where machines are gaining immense responsibility over our lives, sudden failure is not an option.

We have developed a cloud-based platform, which combines data created in chip-embedded Agents (IPs), with machine learning, to predict faults before they become failures.

Our solutions provide unprecedented insights throughout the value chain, from Chip Vendors to System Vendors and Digital Service Providers.

The company was founded in 2017 by seasoned industry veterans, including three former founders of Mellanox Technologies, with deep knowledge and experience in the electronics industry and is backed by worldwide leading investors. 

At proteanTecs we combine different disciplines to create a revolutionary solution. Our team is highly interdisciplinary, ranging from SaaS and Machine Learning experts, to top designers in Chips and Circuits, as well as masters of EDA. We work together and learn from each other.

proteanTecs is looking for the best ML Algorithm Engineer.

Location: Haifa \ Tel-Aviv in hybrid model.

Requirements:

• B.Sc. in Electrical Engineering - MUST
• 3+ years experience with algorithms development
• Experience with statistical and ML Python packages
• Highly skilled Python developer
• Experience with all algorithm’s development stages including Research, implementation, testing, deployment and debug
• Experience with testing frameworks (unit tests, E2E tests, performance, memory, etc.)

Advantage:

• HW-SW integration, ATE/Chip testing experience
• M.Sc. in Electrical Engineering or equivalent
• Strong familiarity with CI pipeline tools, and version control systems such as git
• Experience with Spark, ML-Run or equivalent tools
• Experience with Kubernetes and cloud computing
• Experience in Tableau or equivalent BI framework
• Familiarity with chip production and/or chip design

•  Developing algorithms based on proteanTecs agents - large scale data reporting from within the chip. Algorithms will include Lifetime predictions, clustering, parametric prediction, parametric modelling, screening, dimensionality reduction, time-series predictions, and more.
• Take algorithms through the whole process. From idea, through research, POC, design, implementation, validation, and deployment.
• Manage consistent communication with customers to improve your solutions according to their needs.