The Machine Learning Hardware Accelerator team at Qualcomm is looking for an experienced Hardware Design & Architecture Lead. This role focuses on defining and analyzing next-generation ML hardware accelerator architectures, particularly for vision applications in mobile and emerging products. The candidate will work closely with various teams to deliver high-performance, power-efficient designs. The position requires a strong background in hardware development and collaboration across multiple disciplines.

• Experience in hardware development for ML, multimedia, or accelerator technologies.
• Experience in system or chipset development for SoC products, preferably in the mobile market.
• MS Degree required with 15+ years of industry experience in relevant areas.
• Familiarity with OS principles and HW/SW interaction.
• Experience with SoC bus, interconnect, and memory technologies.

• Architect high-performance, power-efficient ML hardware accelerator designs.
• Analyze and optimize hardware for performance, power, and area tradeoffs.
• Define hardware micro-architecture for efficient implementation of ML algorithms.
• Lead HW IP development, collaborating with RTL design, verification, synthesis, and physical design teams.
• Communicate results and technical issues effectively with leads and peers.

• Qualcomm offers competitive compensation, annual bonuses, stock programs, comprehensive healthcare coverage, retirement plans, wellness programs, parental leave, flexible work options, and professional development opportunities.