Description :

Job Title : Simulator Engineer AI Accelerator

Location : Bangalore, India

Experience : 1220 Years

Domain : AI Accelerators / Semiconductor

Job Summary :

We are seeking a highly experienced Simulator Engineer to join our AI Accelerator team in Bangalore. The role focuses on developing, enhancing, and maintaining high-fidelity simulators for next-generation AI accelerator architectures. You will work at the intersection of hardware and software, enabling architecture exploration, performance analysis, and system validation in close collaboration with globally distributed teams.

Key Responsibilities :

- Design, develop, and maintain cycle-accurate and/or functional simulators for AI accelerator architectures.

- Collaborate with hardware architects and software teams to model HWSW interactions and system behaviour.

- Debug and resolve complex issues across software and hardware layers.

- Optimize simulator performance, scalability, and accuracy.

- Support architectural exploration, performance analysis, and design trade-off studies.

- Contribute to validation of SoC-level designs and HWSW flows.

- Provide technical guidance and mentorship to junior engineers as needed.

Qualifications :

- BSc or higher degree in Computer Science, Electrical Engineering, or a related field from a top-tier university.

- 1220 years of industry experience in system simulation, architecture, or related domains.

- Strong hands-on experience with modern C++ and object-oriented design principles.

- Solid understanding of hardwaresoftware co-design and HWSW flows.

- Proven experience in debugging and performance optimization across software and hardware layers.

- Excellent interpersonal and communication skills to collaborate with globally distributed engineering teams.

Strong Advantage :

- In-depth knowledge of SoC architecture and micro-architecture.

- Experience in hardware and/or performance modeling, analysis, and debugging.

- Hands-on experience with modeling frameworks such as SystemC, TLM, or similar technologies.

- Exposure to AI accelerator architectures or high-performance computing systems.