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Sr Staff Processor Modeling Engineer

Synopsys

Synopsys

Noida, Uttar Pradesh, India
Posted on Dec 17, 2024

Sr Staff Processor Modeling Engineer

Noida, Uttar Pradesh, India Apply Now
Category: Engineering Hire Type: Employee
Job ID 5439 Date posted 09/16/2024
We are looking for a highly skilled and motivated engineers to join the team that is modelling ARM’s v9 architecture and the latest RISC-V cores from our customers in the RISC-V ecosystem. You will create C software models of leading-edge CPU technologies that will power future systems in markets such as data centers, mobile communications, and Internet of Things (IoT).
You will be joining an experienced multinational development team located in UK, Europe, or USA. The team is responsible for building and supporting high speed simulation models of Arm and RISC-V processors and embedded systems. These models are for use in IP design, verification, and software development, and are also delivered to our OEM and Silicon Partners. The models are distributed with configuration and analysis tools, and can be integrated into standard SystemVerilog, C, C++, and SystemC environments.

Job Purpose
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As part of the modelling team, you will build highly efficient C models and platforms using the industry open standard OVP APIs, as well as working with other teams to design systems to allow our Imperas Fast Processor Models to be used within their workflows and platforms.
Key objectives of this role include:
* To develop, test, and maintain high speed software models (ImperasFPMs) of advanced CPU and system level IP.
* To technically support other engineers.
* To be responsible for producing and executing model development plans for your area of responsibility, in conjunction with project management and engineering peers.
* To build Virtual Platforms that can be used for early software development.
* To support internal and external users of these CPU models.

Inclusion and Diversity are important to us. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability.

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