Power Management Architect, Physical AI SoC
Velaura AI develops ultra-low-power silicon and software technologies for AI compute infrastructure.
Maintainer signals as of 8/28/2026
Funding history
About Velaura AI, Inc.
Velaura AI is an AI compute infrastructure company developing ultra-low-power silicon and software technologies. Its Titan Core™ platform uses proprietary digital chip IP, low-voltage libraries, EDA flows, and design methodologies to improve performance per watt in AI accelerators while maintaining performance, yield, and reliability. The company also applies this technology to Physical AI systems, including industrial robots, autonomous machines, drones, humanoids, and edge devices. Velaura engages hyperscalers, XPU companies, and developers of next-generation AI infrastructure and Physical AI solutions.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Own the power architecture of a Physical AI SoC, defining power domains, voltage and frequency scaling, power states, power delivery, energy budgets, power-control subsystems, power intent, and power and thermal management through silicon bring-up.
Requirements
- 8+ years in power management, mixed-signal, or SoC architecture.
- Significant experience defining power architecture for shipping silicon or embedded platforms.
- Deep expertise in multiple power domains, DVFS, clock and power gating, adaptive voltage scaling, retention, and power state management.
- Strong understanding of power delivery networks, PMICs, voltage regulation, thermal constraints, and package constraints.
- Hands-on experience with UPF/CPF and power modeling and analysis.
- Experience defining and validating power management policies across silicon design, firmware, and platform software.
- Bachelor’s or advanced degree in Electrical Engineering, Computer Engineering, or a related field, or equivalent practical experience.
- Excellent written and verbal communication skills.
- Experience optimizing power for AI/ML accelerators or NPUs.
- Familiarity with robotics, automotive, mobile, or other power-constrained domains.
- Experience with energy-aware software, thermal management, and silicon power characterization.
Responsibilities
- Own the SoC power architecture.
- Define power domains, DVFS strategy, power states, and the power delivery network.
- Define dynamic and static power management techniques.
- Establish power and energy budgets across use cases.
- Drive power, performance, and area trade-offs.
- Architect the on-die power management and control subsystem.
- Define firmware and software policies for power management.
- Embed power intent into the design flow and validate it through silicon bring-up.
- Define power and thermal management for sustained operation.
- Establish power architecture standards, modeling methodology, and review practices; mentor engineers.
Benefits
- Performance-based incentives
- Equity participation
- Medical coverage
- Dental coverage
- Vision coverage
- Paid time off
- Flexible work arrangements
- Professional development opportunities