Lead Architect, SoC

We’re seeking a Lead Architect, SoC to join our talented HW team—a group of engineers who have a proven track record of building software that directly powers advanced AI workloads and scientific computing. As a key technical leader, you will be responsible for designing and architecting our  end to end memory performance and solution.

Roles and Responsibilities

• Define the network-on-chip (NoC) and memory subsystem architecture specifications.
• Conduct value, feasibility, and cost studies to define the feature set.
• Design a performant, reliable, and user-friendly NoC and memory microarchitecture.
• Collaborate with silicon / system / SW teams to ensure cross-functional convergence of architecture.
• Lead the execution of NoC and memory subsystems to achieve functional, performance, and PPA closure.
• Work with compiler and runtime software teams to enhance cross-functional ML model performance.
• Mentor and lead junior engineers.

Minimum Qualifications

• Bachelor’s degree in Electrical Engineering and Computer Science (EECS) with 10+ years (or equivalent) of experience in ASIC design.
• Deep understanding of the architecture of ML accelerators or CPUs/GPUs.
• Extensive knowledge of NoC protocols and topologies, memory address space, QoS, and DMA.
• Proven track record of delivering high bandwidth and low latency in multi-agent network-on-chip designs.
• Strong hands-on experience in authoring architecture and microarchitecture specifications.
• Technical or team leadership experience.
• Highly motivated, independent, organized, and strong communication skills.

Preferred Qualifications

• Master’s degree in EECS with 15+ years of experience in ASIC design.
• Ability to extract feature requirements from workloads, such as ML models.
• Proven silicon track record of successful full-cycle development from planning to product.
• Experience with performance simulators.
• Solid understanding of machine learning models.
• Knowledge of compilers and runtime software stacks.

What We Offer:

• Opportunity to work on cutting-edge technologies that power the next generation of AI and ML applications.
• A collaborative, dynamic environment where your ideas and leadership will have a direct impact on the success of the company.
• A chance to work with some of the brightest minds in the industry and contribute to groundbreaking innovations in AI, HPC, and distributed computing.

If you're passionate about designing high-performance, distributed systems and want to lead the architectural evolution of AI infrastructure, we want to hear from you.