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We are searching for an innovative and experienced Senior Big Data Engineer that will join us and be part of our big data group.
As a Senior Big Data Engineer, you will:
Lead the architecture and development of mission-critical, diverse and large-scale data pipelines over both public and on-prem cloud solutions.
Derive policies for data storage and versioning over peta-bytes scale complex storage solutions of multiple data lakes.
Design and develop smart ML infrastructure in order to build Agile ML processes (MLOps).
Work with Data Scientists to understand needs and design ML infrastructure solutions
Be a part of a collaborative heterogeneous data team which includes developers, data scientists, data engineers, MLOps and data scouts.

Emulation and Prototyping HAV (Hardware Assisted Verification) platforms have become an indispensable part of SoC designs verification with growing designs sizes and complexity. We are uniquely positioned to offer the market leading HAV Solutions.

Our Application Engineers team works closely with local industry customers from early Emulation/Prototyping Platforms & Solutions pre-sales stages, towards planning, deployment and ongoing support.
We help our customers achieve their HW Verification and SW bring-up targets with our products, while working with R&D teams on improvements and future technologies in that space.

The Role:
Provide our customers technical and engineering expertise in their ASIC design HW verification process, using our HAV Platforms and Solutions:
Analyze customers verification methodologies and targets, platform and Testbench solutions planning.
Drive and execute our HAV products Evaluations on customers designs.
Support customers in deployment of the HAV products, from RTL code compilation and synthesis, towards SoC-level full functionality bring-up on the systems.
Hands-on bring-up of Emulation Testbenches, including interface protocol Transactors, memory models SpeedAdapters, C++ code, and automation scripts.
Regularly interact with customers as their first contact to address any quality issue or required improvements in our products and their collaterals.
Work internally with R&Ds to provide feedbacks on products, track development process and roadmaps.
Work internally with Sales team on accounts strategy and business growth opportunities.