Overview In this role you drive fundamentally innovative AI compute embedded in silicon, focusing on ultra-low power and deep integration. You will architect system-level designs from concept to detailed specifications and compare computing modalities to advance practical, addressable AI solutions. You'll bridge academia and real-world deployment, navigating physical constraints to ensure robust, scalable implementations. You join a cross-disciplinary team to shape next gen AI accelerators and influence multiple SoC generations with hands-on leadership.
Compensation / Benefits- medical, vision and dental coverage
- 401k
- paid vacation
- holidays
- sick time
- other benefits
Responsibilities- Translate product requirements into end-to-end system architectures for IP blocks, processors, firmware, memory subsystems, and AI compute engines.
- Explore representations of intelligence beyond traditional digital AI models and architectures.
- Bridge academic research with real-world deployment under physical constraints such as noise, power, variability, and manufacturability.
- Lead architecture exploration and collaborate with the modeling team to drive insights and breakthroughs.
- Define hardware block specifications and interfaces, contributing to modeling and RTL development where appropriate.
- Collaborate with architecture, design, verification, firmware, and physical design teams to realize architectural intent.
- Provide technical leadership and mentorship across projects and SoC generations.
Key requirements- PhD or Master's degree in Computer Engineering, Electrical Engineering, or related field
- 10+ years in digital and analog AI accelerator systems architecture for Physical AI or embedded intelligent platforms (robotics/drones/AV)
- Hands-on experience with digital signal processing and analog/digital neural-network compute architectures
- Experience mapping AI workloads to compute requirements
- Proven ASIC design expertise including high-speed and low-power RTL, SystemVerilog for analog compute representation, and familiarity with physical design flows
- Strong SystemC modeling and virtual prototyping skills for complex system-level models
- Deep understanding of processor architecture, datapaths, memory hierarchies, interconnects, and chip interfaces
- Proficiency in C and modeling/simulation languages
- Excellent written and verbal communication; strong technical leadership and curiosity
- leadership
- mentorship
- strong communication
- SystemVerilog
- SystemC
- RTL development
