Robust.AI Logo

Robust.AI

Deployment Engineer

Sorry, this job was removed at 02:08 a.m. (PST) on Wednesday, Feb 04, 2026
In-Office or Remote
Hiring Remotely in San Carlos, CA
80K-110K Annually
In-Office or Remote
Hiring Remotely in San Carlos, CA
80K-110K Annually

Similar Jobs

4 Days Ago
Remote
USA
200K-320K Annually
Mid level
200K-320K Annually
Mid level
Cloud • Fintech • Food • Information Technology • Software • Hospitality
The role involves designing and shipping AI-driven solutions for Go-To-Market processes, integrating AI with sales and marketing systems, and improving operational efficiency.
Top Skills: AIApexClayCrm ApisLwcSalesforceSnowflake
12 Days Ago
Remote
United States
150K-275K Annually
Mid level
150K-275K Annually
Mid level
Aerospace • Artificial Intelligence • Computer Vision • Software • Analytics • Defense • Big Data Analytics
Serve as a technical advisor for USSF/USAF customers, translate mission needs into solutions, support demos/workshops, contribute to proposals/RFPs, and inform product roadmaps with customer feedback.
Top Skills: Ai/MlAWSComputer VisionJavaScriptPython
Yesterday
Easy Apply
Remote
United States
Easy Apply
50K-100K Annually
Junior
50K-100K Annually
Junior
Logistics
As a Deployment Engineer, implement robotic solutions at customer sites, manage relationships, and provide on-site support after deployment while traveling extensively across North America.
Top Skills: AutocadLinuxRosSlamUnix
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:

  • Proficiency in Python – You can write and debug Python scripts for system diagnostics, automation, and data analysis.
  • Experience with ROS (Robot Operating System) – You're comfortable working with ROS environments for troubleshooting and system configuration.
  • Strong Linux skills – You have hands-on experience with Linux-based systems, command-line interfaces, and basic Bash scripting.
  • 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;

  • 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
  • Flexible vacation and sick leave practices
  • Paid parental leave

Robust AI fosters a culture of belonging and a shared commitment to equality and equity.
Having a diverse set of perspectives is key to ensuring AI and robotics serve the needs of all.

HQ

Robust.AI San Carlos, California, USA Office

1050 Commercial St,, San Carlos, CA, United States, 94070

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account