Modelling/Validation Engineer - SystemC (7-9 yrs)

We're looking forSystem C Modelling /Validation Engineer.

Experience : 7+ years.

Location : Bangalore.

Skills Required :

- Simics modeling DML.

- SystemC debugging and troubleshooting.

- C/C++.

- Python, Linux.

- System SW (OS, FW, Driver).

Key Responsibilities :

- Develop and maintain accurate and efficient SystemC models of complex hardware and software systems, including processors, peripherals, and memory subsystems.

- Utilize Simics modeling DML for creating and configuring virtual platforms and simulating system behavior.

- Conduct thorough system-level validation and debugging activities, identifying and resolving issues related to hardware-software interactions.

- Collaborate closely with hardware and software engineers to ensure seamless integration and optimize system performance.

- Develop and maintain test suites and automation scripts for regression testing and continuous integration.

- Analyze system performance and identify potential bottlenecks and areas for improvement.

- Stay abreast of the latest advancements in SystemC modeling, simulation, and validation methodologies.

- Contribute to the development of best practices and standards for system-level modeling and validation within the organization.

Required Skills :

- Strong proficiency in SystemC modeling and simulation methodologies.

- Extensive experience with Simics modeling DML and virtual platform development.

- In-depth knowledge of C/C++ programming languages.

- Proficiency in Python scripting for automation and analysis.

- Strong understanding of Linux operating systems and environments.

- Experience with System SW (OS, FW, Driver) development and integration.

- Excellent debugging and troubleshooting skills.

- Strong analytical and problem-solving abilities.

- Excellent communication and teamwork skills.

Desired Skills :

- Experience with industry-standard verification methodologies such as UVM.

- Familiarity with hardware description languages (VHDL/Verilog).

- Experience with high-performance computing systems.

- Experience with cloud computing platforms.

Education : Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.