Senior Robotics Field Application Engineer

About the role

Field AI is building AI systems that let robots operate reliably in the real world. The company focuses on risk-aware, field-ready autonomy for demanding industrial environments, where robots must handle uncertainty and continue to perform safely. Based in Houston, Texas, this is a full-time position for a senior engineer who will take the company's autonomous systems into customer sites and make them work in practice. You will be the bridge between product development and real-world deployment. You will install, validate, tune, and support robot systems, gather field feedback, and work with engineering to improve reliability. This role combines robotics, software, and customer-facing work, and it suits an engineer who enjoys being hands-on and customer focused. Field AI believes real-world performance, reliability, and customer success are what matter most for embodied intelligence.

Key facts

-

Location: USA

-

Engagement: Full-time.

-

Compensation: in the listing.

• Category: Robotics Field Application Engineering, Customer Success.
• Focus: Deployment and reliability of autonomous systems in industrial settings.

What you'll do

• Deploy autonomous robot systems at customer sites and validate their performance in live conditions.
• Configure and tune robot behavior, perception, and navigation parameters for each environment.
• Work directly with customers to understand their workflows and define success criteria for deployments.
• Collect field data and report findings back to the product and engineering teams.
• Diagnose and resolve issues in the field, from software problems to integration challenges.
• Run structured validation and acceptance testing before and during deployment.
• Provide training and guidance so customer teams can operate and maintain the systems.
• Document deployment procedures, troubleshooting guides, and site-specific notes.
• Coordinate with engineering to prioritize fixes and features based on real-world impact.
• Manage multiple deployments across sites while keeping communication clear.
• Represent the voice of the field internally to improve reliability and customer success.
• Establish repeatable processes that make future deployments faster and smoother.

Requirements

• Several years of experience in robotics, autonomy, or related engineering.
• Proven ability to work with customers in industrial or field environments.
• Strong hands-on skills with robots, sensors, and computer systems.
• Familiarity with perception, navigation, and control concepts in robotics.
• Solid understanding of software deployment and debugging practices.
• Ability to travel to customer sites as deployments require.
• Excellent communication and documentation skills.
• A safety-minded approach to working with autonomous systems around people.

Nice to have

• Experience with autonomy stacks or robotics middleware.
• Prior field application or technical customer success experience.
• Background in industrial automation or heavy industry.
• Scripting and tooling experience to analyze field data.

Skills & tools

• Robot deployment and validation
• Sensors and perception systems
• Navigation and control software
• Software debugging and diagnostics
• Customer training and documentation
• Field data collection and analysis

Practical notes

• The role is based in Houston, TX and is full-time.
• Expect significant time at customer sites, with travel.
• Salary is not listed in the posting.
• Success in this role depends on both technical skill and customer relationship skills.

Project highlights

• Bringing embodied AI systems from development into real industrial environments.
• Shaping reliability improvements directly from field feedback.
• Building the deployment playbook that scales the company's robot systems.

Why you should apply

• You will work at the cutting edge of field robotics and embodied AI.
• Your field insights will directly influence product direction.
• You will own real deployments end to end.
• You will work with customers whose operations genuinely benefit from the technology.
• The role offers variety across sites, systems, and technical challenges.

About the company

Field AI is transforming how robots interact with the real world. We are building risk-aware, dependable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence.