Noble Machines
Principal Solutions Architect
$200K–$350K
Sunnyvale, CA +1 · Principal · Full-time · Posted Oct 21, 2026
- Location
- Sunnyvale, CA
Sunnyvale, California, United States - Experience
- No specific years stated; candidates with fewer years are encouraged to apply if they have the stated technical depth, deployment ownership, and communication skills.
- Education
- Bachelor's degree in Engineering, Computer Science, Robotics, or a related field, or equivalent hands-on experience.
About the job
Leads customer-facing design, integration, and deployment of Moby robots, from discovery and evaluation through production and ongoing adoption.
What you'll do
- Assess customer workflows and design deployment architectures, plans, success criteria, and risk assessments.
- Lead robot customization, integration, troubleshooting, and performance validation across customer deployments.
- Partner with Sales, Engineering, Product, and Customer Success; develop repeatable deployment practices and mentor colleagues.
What they ask for
- Personal ownership of AI-enabled physical robot deployments, with demonstrable technical contributions and results.
- Practical experience with robotic perception, learning, and autonomous behavior in real-world applications; working understanding of vision-language-action (VLA) models.
- Experience integrating and troubleshooting robotic hardware, software, sensors, and AI capabilities, including taking deployments toward reliable operation.
- Exceptional communication and presentation skills; willingness to travel to customer sites and work on-site in Sunnyvale regularly.
Nice to have
- Advanced degree in Robotics, Computer Science, Engineering, or a related field.
- Experience deploying physical AI systems, integrating or evaluating VLA models, simulation and sim-to-real workflows, customer solution design, industrial customers, or building an Application Engineering team.
Pay
$200,000 – $350,000 per year (USD, base salary)
Tools
Moby, vision-language-action (VLA) models
AI focus
Deploy AI-enabled physical robots; integrate perception, learning, VLA models, and autonomous behavior to turn sensor inputs and task requirements into reliable robot actions.
Model-written summary · the original posting is authoritative