This is a challenging position, working on the most innovative technologies, surrounded by experts as well as users of our technology all over the world. You will contribute to evaluating and shaping the architecture of future hardware platforms and provide key data points to decision-makers. You will also help develop new tools for architecture validation and exploration, primarily for performance and power, and to a lesser extent for high-level functional validation.
Responsibilities
In your role, you will
Participate in NoC topology and system memory architecture exploration campaigns, working closely with key architects from various teams. Analyze complex datasets to identify insights and patterns that will help define the requirements for next-generation SoCs.
Drive architecture-oriented performance and power explorations across platform-level components (NoC, memory subsystem, system cache, memory controllers).
Develop new tools for architecture validation and exploration — focused primarily on performance and power modeling, with additional support for high-level functional validation.
Support exploratory methodology projects, involving machine learning, data science, etc.
Expand, maintain, and document innovative modeling frameworks. Participate in defining a new hardware modeling semantic, breaking with conventional hardware programming languages.
Skills/Experience
Robust understanding of computer architecture, memory hierarchy, and system/platform architecture.
Experience or knowledge in NoC (Network-on-Chip) architecture, topologies, and design trade-offs.
Strong knowledge of Object-Oriented Programming (C++, Python).
Interest in programming paradigms.
Knowledge of bus components and interconnect micro-architecture.
Understanding of performance/power/area trade-offs.
Ability to quickly react and adapt to changes.
Excellent communication skills.
Requirements
Degree in Microelectronics, Computer Science, or related field.
Preferably 2–5 years of solid experience in SoC modeling and/or software development; new graduates will be considered with strong internships & motivation.
Understanding of interconnect protocols like AHB/AXI/ACE/ACE-Lite and NoC concepts and topologies.
Experience in Data Science, Machine Learning.
Preferred Qualifications
Master's or PhD degree in Microelectronics, Computer Science, or related field.
Strong mathematical background.
Knowledge of NoC architecture and network traffic engineering.
Knowledge of Memory Controller, LPDDR & DDR protocols.
Experience driving architecture-oriented performance and power investigations on blocks like NoC, memory controller, system cache, CPU, GPU, and multimedia is a plus.
Qualifications
Bachelor's degree in Science, Engineering, or related field and 2+ years of ASIC design, verification, validation, integration, or related work experience. OR
Master's degree in Science, Engineering, or related field and 1+ year of ASIC design, verification, validation, integration, or related work experience. OR
PhD in Science, Engineering, or related field.
Minimum Qualifications
- Bachelor's degree in Science, Engineering, or related field and 2+ years of ASIC design, verification, validation, integration, or related work experience.
- OR
- Master's degree in Science, Engineering, or related field and 1+ year of ASIC design, verification, validation, integration, or related work experience.
- OR
- PhD in Science, Engineering, or related field.
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Pay range and Other Compensation & Benefits
$121,800.00 - $182,600.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
