Remote Senior Principal Architect — Humanoid Robotics & AI

Cerence Inc.

California (MO)

On-site

USD 192,500 - 290,000

Full time

14 days+
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Benefits offered by this job

Annual bonus opportunity
Insurance coverage (medical, dental,/v
Paid time off
Equity awards for certain positions
Remote/hybrid work

Job summary

Cerence Inc. is seeking a Senior Principal Technical Solution Architect for Humanoid Robotics in the California Bay Area. You will own the end-to-end software architecture for humanoid robot applications, bridging AI, robotics OS, and hardware.

Lead decisions on platforms, frameworks, and deployments while guiding a small startup team toward production-ready customer solutions. The role demands deep robotics knowledge (SLAM, MoveIt2, perception pipelines), strong C++/Python, and Linux expertise,

Qualifications

  • Bachelor's or master's degree in CS/Robotics/EE.
  • 8+ years in robotics or cyber-physical systems.
  • Strong C++ and Python design skills.
  • Experience with real-time Linux and embedded platforms is a plus.

Responsibilities

  • Own end-to-end software architecture for humanoid robot applications.
  • Define reusable software platforms across robotics, AI, voice, cloud, and edge systems.
  • Lead decisions on frameworks, OS, SDKs, AI infra, deployment.
  • Guide proof-of-concepts to production deployments.
  • Collaborate with OEMs and partners; supervise a startup development team.

Skills

SLAM/Nav2
MoveIt2
Perception pipelines
Sensor fusion
DDS communication
C++17/20
Python
Linux (Ubuntu/Debian)
Leadership
Robotics experience 8+ yrs

Education

Bachelor’s or Master’s degree in CS/Robotics/EE

Tools

NVIDIA Isaac SDK
Gazebo
ROS 2 / ROS
Isaac Sim / Omniverse
Webots
RealSense

Job description

Cerence Inc. is seeking a Senior Principal Technical Solution Architect for Humanoid Robotics in the California Bay Area. You will own the end-to-end software architecture for humanoid robot applications, bridging AI, robotics OS, and hardware.

Lead decisions on platforms, frameworks, and deployments while guiding a small startup team toward production-ready customer solutions. The role demands deep robotics knowledge (SLAM, MoveIt2, perception pipelines), strong C++/Python, and Linux expertise,

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