Principal Solutions Architect

Noble Machines, Inc • Sunnyvale, CA

1d • $200,000 - $350,000 • Onsite

About The Position

Noble Machines is hiring a Principal Solutions Architect to help customers deploy Moby, its general-purpose robot, in real-world operations. The role translates customer needs into achievable applications, customizes and integrates the platform, and leads deployments from discovery through production and long-term adoption.

This is a customer-facing, high-ownership role connecting Engineering, Product, Sales, and Customer Success. It requires practical understanding of robotic perception, learning, and autonomous action, along with the ability to communicate capabilities, limitations, and deployment decisions to technical and executive audiences. The role may expand into building and leading an Application Engineering team as the company grows.

The position is based in Sunnyvale, California, with regular onsite work and travel to customer sites. Exceptional U.S.-based candidates who need an alternative location arrangement may be considered individually. The expected base salary is $200,000–$350,000 per year, in addition to bonus, equity, and benefits. Relocation assistance may be available.

Requirements

• Bachelor's degree in Engineering, Computer Science, Robotics, or a related field, or equivalent hands-on experience.
• Personal ownership of AI-enabled physical robot deployments, with clear examples of technical contributions, decisions, and results.
• Practical experience with robotic perception, learning, and autonomous behavior in real-world applications.
• Working understanding of vision-language-action (VLA) models and how visual inputs, task instructions, and learned behaviors translate into robot actions.
• Experience integrating and troubleshooting robotic hardware, software, sensors, and AI capabilities.
• Track record of taking deployments from evaluation or pilot to reliable operation, including the challenges encountered and how they were solved.
• Exceptional communication and presentation skills, with credibility in front of customers, engineers, and executives.
• Ability to work across technical and commercial teams in a fast-moving, early-stage environment.
• Willingness to travel to customer sites and work onsite in Sunnyvale regularly.

Nice To Haves

• Advanced degree in Robotics, Computer Science, Engineering, or a related field.
• Experience deploying humanoids, autonomous mobile robots, mobile manipulation, or other AI-enabled physical systems.
• Hands-on experience integrating, adapting, or evaluating VLA models, learned policies, or perception systems on physical robots.
• Experience with simulation, robot learning workflows, and sim-to-real transfer.
• Experience leading customer discovery, technical demos, proofs of concept, or enterprise solution design.
• Experience supporting industrial customers in construction, mining, energy, manufacturing, or logistics.
• Experience mentoring engineers or building an Application Engineering team.

Responsibilities

• Learn customer workflows, operating environments, constraints, and business goals, and assess where Moby fits and what customization and integration it needs.
• Develop solution architectures, deployment plans, technical success criteria, and risk assessments.
• Present technical concepts, demonstrations, and recommendations to engineering teams and executive stakeholders, and set candid expectations about platform capabilities and deployment readiness.
• Lead customer engagements from technical evaluation and proof of concept through pilot, production, and ongoing improvement.
• Customize and integrate Moby with perception, learning, autonomy, and controls teams, connecting sensor inputs and task requirements to reliable robot behavior.
• Troubleshoot hardware, software, sensor, and AI integration issues alongside Engineering.
• Define and validate measures for task completion, reliability, and failure recovery against customer acceptance criteria.
• Partner with Sales on evaluations and proposals; translate customer requirements into actionable work for Engineering and Product; and bring field findings into the roadmap.
• Create repeatable deployment methods, documentation, and best practices, and mentor colleagues as the Application Engineering function grows.

Benefits

• Bonus
• Equity
• Comprehensive healthcare benefits
• Retirement plan contributions
• Performance-based incentives
• Relocation assistance may be available

What This Job Offers

• Job Type: Full-time
• Career Level: Principal