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Ready for an intellectual challenge that combines Mathematics and CS theory in the context of hardware development? Keep reading.
In this role you will be responsible for developing mathematical proofs using model checking tools, to find RTL(Verilog) bugs or prove their absence
Not in the Formal domain? No worries, we offer thorough training to learn the theory and practice directly from our team experts
In this role you will be responsible for developing mathematical proofs using model checking tools, to find RTL(Verilog) bugs or prove their absence .
The position is relevant for both Herzliya/ Haifa site

We are seeking a dedicated Computer Vision Research Engineer to join our team. The job will focus on developing deep learning models for 3D reconstruction and perception using state-of-the-art deep learning techniques. As a key member of our team, you'll be involved in the entire process of crafting and training these models whose derivatives will be deployed in various products.

Imagine what you could do here. At, new insights have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.

an Equal Opportunity Employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other legally protected characteristics. If you'd like more information about your EEO rights as an applicant, please click here. not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.
Research:
Contribute to the development of algorithms and models within the domain of 3D vision
Implement and validate models using various data sets
Investigate the application of unsupervised data and knowledge distillation techniques to improve the performance of machine learning models
Conduct research to explore novel techniques and algorithms
Stay updated with recent advancements in the field
Design and apply various metrics to evaluate your work
Data Analysis:
Prepare, filter, process, and analyze large-scale datasets to train and evaluate models
Analyze the results of your algorithm and compare with other leading methods
Algorithm Optimization:
Optimize models for real-time performance and resource efficiency
Collaboration:
Work in sync with interdisciplinary teams to integrate models into larger products or research studies
Collaborate with international teams