Performance Modeling Engineer

Engineering Group, Engineering Group > Systems Engineering

General Summary:

Qualcomm is the world's leading developer of next-generation of always connected Edge-AI processing technology and is committed to building a world-class organization that will lead the industry.

Be part of the team developing next generation Audio and Always On / Edge AI subsystems and platforms. The ASIC Audio/Edge AI Systems Engineer is responsible for system architecture definition activities supporting a sophisticated multimedia Low Power Audio/Edge AI subsystem across a broad range of mobile, XR, compute, and automotive products.

Candidates will be responsible for all aspects of the ASIC hardware architecture definition/validation including the following:

• Owning end to end system architecture
• Capturing detailed technology requirements working closely with product, hardware and software engineering teams
• Developing detailed ASIC system architectures to support requirements and authoring subsystem hardware specifications
• Defining architecture validation plans and reviewing development results
• Optimization and debug via modelling, system simulation and testing across key criteria including power and performance.
• Collaborating, reviewing and enabling design and system teams to execute on dependent specifications
• Post-silicon commercialization support and customer engineering documentation
• Defining and patenting novel architectures that drive industry leadership.

Job Function:

• Oversees hardware architecture for ASIC systems development for a variety of products.
• Determines architecture design, and validation via system simulation.
• Defines module interfaces/formats for simulation.
• Evaluates all aspects of the HW architecture flow from high-level development to validation and review.
• Analyzes equipment to establish operation data, conducts experimental tests, and evaluates results.
• Uses System tools, such as, MathWorks MATLAB, SIMULINK, VISIO and other toolboxes.
• Uses language such as HDL, C/C++, System C, Perl, Python.
• Provides technical expertise for next generation initiatives.

Minimum Qualifications:

Bachelor's degree in science, Engineering, or related field and 7 years or related work experience.

OR

PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.