Systems Architecture, Staff – Edge AI

Qualcomm•Markham, ON

About The Position

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. New Position Be part of the team developing next generation Edge AI subsystems and platforms. The Edge AI Systems Engineer is responsible for system architecture definition activities supporting a sophisticated multimedia Low Power Edge AI subsystem across a broad range of mobile, XR, compute, and automotive products. Candidates will be involved in system hardware architecture definition/validation and perform the following tasks: Summary: Capture detailed technology requirements, working closely with product management and engineering teams Oversee hardware architecture for a variety of Edge AI products. Utilize advanced problem solving and engineering practices to resolve complex architecture, design, or verification problems. Write technical documentation and providing technical expertise for design or project reviews and project meetings. Support dependent system, design, and software teams implementing Edge AI platform solutions. Acting as a technology lead for small to large projects and owning team deliverables for such projects.

Requirements

5+ years of system architecture experience at the SOC level, or related work experience.
Bachelor's degree in Science, Engineering, or related field and 5+ years of ASIC design, verification, or related work experience.
Master's degree in Science, Engineering, or related field and 4+ years of ASIC design, verification, or related work experience.
PhD in Science, Engineering, or related field and 3+ years of ASIC design, verification, or related work experience.

Nice To Haves

8+ years of system architecture experience at the SOC level, or related work experience.
Graduate degree in Computer Engineering or Architecture
2+ years experience with architecture and design tools.
2+ years experience with scripting tools and programming languages..
1+ years of work experience in a role requiring interaction with senior leadership (e.g., Director level and above).

Responsibilities

Leverage experience in DSP, machine learning algorithms, SoC hardware and computer architecture concepts to develop proposals to address system Edge-AI requirements. Strong knowledge of processor, memory, bus and low-power design techniques is required.
Authoring subsystem hardware specifications
Drive system optimization and via modelling, system simulation and testing across key criteria to make power and performance trade-offs.
Apply expertise in low-power design methodology, optimization and validation using various CAD tools and design techniques to optimize system power.
Collaborate, and enable multiple-system teams to realize dependent specifications
Post-silicon commercialization support and customer engineering documentation
Defining and patenting novel architectures that drive industry leadership.
Work independently solving problems even with missing or conflicting information; be able to apply advanced data analysis and interpretation skills.
Demonstrate excellent communication skills working with multiple teams including multi-site organizations.
Generate and analyze data created through a variety of tools (simulation, synthesis, timing analysis, timing/power/signal integrity analysis)
Develop an implementation strategy that meets system requirements, customer needs, and product timelines.