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Deployment Engineer

Remote:

Full Remote

Contract:

Full time

Salary:

80 - 110K yearly

Work from:

Texas (USA), United States

Offer summary

Qualifications:

4+ years of experience in robotics., Familiarity with Git and Python is preferred., Technical proficiency with tools and software., Ability to read mechanical drawings..

Key responsabilities:

Deploy and commission robotic systems.
Provide onsite and remote support.

Robust.AI

11 - 50 Employees

See all jobs

Job description

Robust AI is an early-stage startup founded by an unsurpassed team of veterans in robotics, AI, and Supply Chain who are dedicated to making the promise of Embodied AI a reality. We are a collaborative group with a diverse set of perspectives, seeking talented individuals who are passionate about making robots that are valuable to customers and delightful to use. Help us redefine the very foundation of robotics and build robots that are smart, safe, and flexible: fully autonomous and truly collaborative.

As a Deployment Engineer, you will play a critical role in our Customer Success Team, working alongside both onsite and remote engineers to deploy, maintain, and optimize next-generation warehouse robotic systems. You will be responsible for commissioning new robotic deployments, troubleshooting technical issues, and ensuring the reliability of our robotic fleet through preventative maintenance and rapid incident response. Additionally, you will provide technical support and hands-on training to customer teams, ensuring they can operate and maintain our systems effectively.

This role is ideal for a proactive problem-solver who thrives in a fast-paced, early-stage startup environment. You’re comfortable rolling up your sleeves, working directly with customers, and collaborating closely with engineering teams to improve our technology in real-world settings. Compensation is $80,000 - $110,000 per year, based on experience and skill set.

Responsibilities

Deploy and commission robotic systems at customer sites, ensuring smooth installations and successful integrations.

Provide onsite and remote support to optimize system performance and troubleshoot issues.

Train customer teams on robot operation, maintenance, and troubleshooting best practices.

Travel up to 80% of the time within the designated region, often on short notice, to support deployments and perform system inspections.

Diagnose and repair robotic systems, working closely with engineering teams to implement solutions.

Conduct preventative maintenance to ensure fleet reliability and minimize downtime.

Analyze system performance data to identify issues, improve processes, and provide feedback to engineering.

Maintain detailed documentation of service calls, repairs, training sessions, and system updates.

Assist in root cause analysis for major field incidents, contributing to long-term system improvements.

Monitor and report key performance metrics, such as mean time to repair and first-contact resolution rates.

To be successful in this role, you will possess the following:

Excellent communication skills – You can explain complex technical concepts clearly to customers and internal teams.

Strong problem-solving ability – You diagnose and resolve technical issues efficiently, even under pressure.

Safety-first mindset – You prioritize safety in all maintenance, training, and deployment activities.

Attention to detail – You meticulously follow procedures, from system configurations to hardware assembly.

Technical proficiency – You’re comfortable using electrical and mechanical tools (e.g., digital multimeters, soldering tools, torque wrenches) and have a working knowledge of software tools (e.g., CLI, Linux, basic Bash scripting).

Self-starter with a growth mindset – You take initiative, learn new skills quickly, and work independently without supervision.

Physical stamina – You can stand for long periods and lift up to 50 lbs.

Preferred Qualifications;

4+ years of experience in robotics, industrial automation, or mechatronics-related troubleshooting and debugging.

Familiarity with Git, ROS, YAML, Python, and Linux-based systems.

Experience with network configuration, system administration, and SQL databases.

Ability to read and interpret mechanical drawings, block diagrams, and circuit schematics.

Proficiency in Google Workspace, especially Google Sheets, for tracking deployments and analyzing performance data.

What we offer:

Stock options and huge growth potential

Strong startup (and fun) culture

Medical, Dental, and Vision coverage