NPU/AI Processor Architecture (RTL) design- Staff/Sr Staff
- Compensation
- Not disclosed
- Location
- Bangalore, India
- Work setup
- Onsite
- Seniority
- Staff
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Design
- Posted
Skills
Must have
- Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committ
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- If you would like more information about this role, please contact Qualcomm Careers.
Full description
##
Company:
Qualcomm India Private Limited
Job Area:
Engineering Group, Engineering Group > Hardware Engineering
General Summary:
Qualcomm's Hexagon NPU Team is hiring for the various positions in Bangalore (India) location for the development of high-performance, energy-efficient CPU and AI processors. Hexagon NPU is an in-house built Qualcomm proprietary processor which is the center of Qualcomm's hybrid AI computing capability targeted for broad spectrum of AI use cases across market segments.
We are seeking highly skilled engineers with over 5+ years of experience and a strong knowledge in CPU/AI processor micro-architecture, architecture, RTL design, debug architecture, RAS, power-management and circuit designers to join our team.
Various positions are open across the broad spectrum of CPU/AI processor design :
- RTL Design of high-performance CPU/AI processors
- RTL coding, micro-architecture and architecture
- Computer Arithmetic
- Floating-Point design
- Matrix Multiply engines
- Vector Extensions
- Memory sub-systems, Load/store, caches, atomics, coherence and consistency
- Branch prediction, out-of-order, dispatch, schedulers
- Multi-processor and multi-threaded systems
- RISC-V
- Power, performance and Area (PPA) optimizations
- CPU sub-system Logic Design
- Reliability, Availability, Serviceability (RAS)
- Power management architecture and design, circuits, flows and systems
- Di/Dt, voltage-noise, peak-currents and thermal mitigation
- Functional safety (FUSA)
- System and Silicon Debug
Join us to build IP blocks that power Snapdragon processors and AI inference engines.
Minimum Qualifications:
- Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 6+ years of Hardware Engineering or related work experience.
OR
Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 5+ years of Hardware Engineering or related work experience.
OR
PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience.
Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).