Lead Humanoid Robotics System Architect

Intel
Santa Clara, Phoenix
Workplace: HybridFull timeUSD 220,920 - 361,480 annuallyFunction: Software EngineeringExperience: 10+ yearsEducation: bachelorsSkills: ["Technical communication","Mentorship","Cross-functional leadership"]

Own the end-to-end hierarchical control stack for next-generation humanoid robots, serving as the key bridge between large vision-language-action (VLA) models and physical hardware. Define system-level architecture requirements and co-optimize AI model workloads with compute silicon under tight power, thermal, latency, and memory-bandwidth constraints. Author quantitative specifications, lead cross-disciplinary architecture decisions, and guide viability experiments and expert mentorship.

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Intel
Intel
3 days ago

Lead Humanoid Robotics System Architect

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Last checked: 9 hours agoStatus: Live

Job Summary

Own the end-to-end hierarchical control stack for next-generation humanoid robots, serving as the key bridge between large vision-language-action (VLA) models and physical hardware. Define system-level architecture requirements and co-optimize AI model workloads with compute silicon under tight power, thermal, latency, and memory-bandwidth constraints. Author quantitative specifications, lead cross-disciplinary architecture decisions, and guide viability experiments and expert mentorship.
Location: Santa Clara, Phoenix
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Own the canonical hierarchical control stack for humanoid robots, including VLM/VLA systems, visuomotor policies, whole-body control, and distributed joint FOC loops.
  • •Drive co-optimization of VLA/world models with compute silicon by defining quantization, sparsity/MoE, context lengths, and reference deployment envelopes.
  • •Perform first-principles sizing (FLOPs, sustained TOPS, memory-bandwidth floors) and select compute platforms and workload splits between central nodes and remote sensor pods.
  • •Author and maintain primary system specifications (compute, power, thermal, sensors, actuator networks, safety islands) and translate product goals into quantitative requirements.
  • •Lead multi-disciplinary architecture reviews and subsystem design trades across ML research, controls, electrical, firmware, and mechanical teams; formulate viability experiments and mentor senior engineers.

Pay and Benefits

Salary: USD 220,920 - 361,480 annually
Equity and Bonus:Equity
Perks:Health InsuranceRetirementPaid Leave

Key Requirements

  • •10+ years in complex cyber-physical systems, with 4–5 years specializing in robotics, autonomous systems, or high-performance edge AI platforms.
  • •BS in Engineering, Computer Science, Math, or related field is required.
  • •Direct experience with humanoid robots/mobile manipulators.
  • •Hands-on exposure to VLA/foundation models (e.g., -series, Helix-class, GR00T, OpenVLA or equivalent).
  • •Expertise with robotics platforms (NVIDIA Jetson/IGX or custom AI silicon) plus battery/thermal budgeting for constrained systems.
Experience:10+ yearsRoboticsAutonomous systemsEdge AICyber-physical systems
Education:Bachelor's
Skills:Technical communicationMentorshipCross-functional leadership
Tech Stack:VLAVLMTransformer inferenceQuantizationSparsityMoEAction chunkingMemory bandwidthEtherCATFLOPsTOPSNVIDIA JetsonIGXAI silicon

Company Brief

Intel
Designs and manufactures semiconductor chips, processors, and related hardware for PCs, data centers, networking, and embedded applications, while providing software and services to accelerate computing across industries globally.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1968
Glassdoor
Glassdoor: 3.8
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