3 дня назад
Lead Humanoid Robotics System Architect (Robotics)
220 920 - 361 480$
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Описание вакансии
Текст:
TL;DR
Lead Humanoid Robotics System Architect (Robotics): Owning the end-to-end hierarchical architecture for next-generation humanoid robots, connecting VLA models with physical platforms with an accent on real-time control, AI–silicon co-optimization, and quantitative system requirements. Focus on sizing compute and memory bandwidth, defining latency and power budgets, selecting distributed interconnects, and leading architecture decisions across ML, controls, electrical, firmware, and mechanical teams.
Location: Hybrid work model in the United States, with assigned sites in Hillsboro, Oregon; Phoenix, Arizona; Folsom, California; or Santa Clara, California.
Annual salary: $220,920–$361,480 USD.
Company
is presented in the posting as developing next-generation computing and humanoid robotics platforms.
What you will do
- Own the hierarchical humanoid robotics control stack, including VLM/VLA systems, visuomotor policies, whole-body control, and distributed joint FOC loops.
- Define rate boundaries, latency budgets, action-chunking strategies, and interconnect topologies such as EtherCAT.
- Co-optimize large VLA and world models with compute silicon through quantization, sparsity, mixture-of-experts design, context-length selection, and deployment-envelope definition.
- Size FLOPs, sustained TOPS, and memory-bandwidth requirements while selecting compute platforms and distributing workloads across central nodes and sensor pods.
- Author system specifications covering compute, power, thermal performance, sensors, actuator networks, and safety islands.
- Lead architecture reviews, subsystem trade-offs, viability experiments, technical decisions, mentorship, and collaboration with ML, controls, electrical, firmware, mechanical, silicon, and actuator teams.
Requirements
- 10+ years of experience in complex cyber-physical systems, including 4–5 years in robotics, autonomous systems, or high-performance edge AI platforms.
- Bachelor's degree in Engineering, Computer Science, Mathematics, or a related field.
- Experience owning architectures that bridge high-level AI models and real-time hardware control.
- Deep knowledge of transformer inference constraints, including quantization, action chunking, and memory-bandwidth limitations.
- Expertise in real-time distributed systems, EtherCAT, zonal sensor pods, and safety islands.
- Ability to work in a hybrid model at an assigned United States site and pass an extended background investigation.
Nice to have
- Direct experience with humanoid robots or mobile manipulators.
- Experience with VLA or foundation models such as Helix-class, GR00T, or OpenVLA.
- Experience with NVIDIA Jetson, NVIDIA IGX, custom AI silicon, or related robotics platforms.
- Battery and thermal budgeting experience for highly constrained systems.
Culture & Benefits
- Hybrid work combining on-site and off-site work.
- Competitive pay with stock bonuses.
- Health, retirement, and vacation benefits.
- Position of Trust status with an extended education, sanctions, criminal, and civil background investigation subject to applicable law.
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