June 17, 2026

Robotics Field Service Engineer

Mid • On-site

83,004 - 126,000 USD/hr

New York City, NY

About the team

The Fleet Operations Team drives uptime and operational performance across a growing fleet of deployed robotic systems. Working inside live manufacturing environments, the team diagnoses issues, restores production, and continuously improves system reliability at scale. The team operates at the intersection of robotics, controls, and factory execution, ensuring automation delivers consistent, measurable performance.

About the role

As a Robotics Field Service Engineer, you are the front line of technical ownership across deployed robotic cells. You will diagnose failures, restore systems to production, perform preventative and corrective maintenance, and represent the company within customer facilities.

This is a hands-on, high-accountability role in uptime-critical environments requiring disciplined troubleshooting and structured documentation.

Responsibilities

  • Perform preventative, corrective, and predictive maintenance on robotic manufacturing cells
  • Respond to remote and on-site escalations and restore systems quickly
  • Provide hands-on technical support to operators and maintenance teams
  • Log service activity and asset updates in CMMS systems
  • Monitor system performance using dashboards and fleet tools
  • Document service work and root cause analysis with clarity
  • Ensure strict adherence to safety standards including LOTO compliance
  • Participate in RCA sessions, audits, and continuous improvement initiatives

Qualifications

  • 3+ years of field service experience with robotic or industrial automation systems
  • Strong troubleshooting across electrical, mechanical, PLC, or robotic control systems
  • Ability to read electrical schematics, wiring diagrams, and pneumatic drawings
  • Experience using CMMS platforms
  • Willingness to travel locally up to 80% and overnight up to 50%
  • Strong written and verbal technical communication skills
  • Commitment to safety and disciplined field execution

Benefits

  • Equity participation through stock options
  • Competitive and uncapped commission structure (role-dependent)
  • Comprehensive medical, dental, and vision insurance
  • FSA, DCFSA, life, short-term and long-term disability insurance
  • Employee Assistance Program (EAP)
  • Up to 12 weeks of paid parental leave
  • Company-sponsored 401(k)
  • Home office stipend and monthly cell phone reimbursement
  • 15 days of paid time off plus company holidays

Compensation

This role is paid hourly at $29–$44 per hour. With typical 50+ hour workweeks including travel and site activity, total annualized earnings generally range from $83,000 to $126,000 depending on experience and hours worked. Overtime is paid in accordance with applicable law.

Equal Opportunity Employment

The company is an equal opportunity employer and makes employment decisions based on merit, business needs, and role requirements. Accommodations are available for accessibility needs.

AI Use

AI-powered tools may be used in parts of the interview process, with all final hiring decisions made by humans.

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Washington, DC

129,996 - 185,004 USD/yr

🏢 Summary: Field Engineer role focused on deploying and integrating edge-first machine learning solutions for national security customers in high-stakes environments. The position involves system integration, scripting, on-site deployments, customer support, and troubleshooting with frequent travel. Candidates will work closely with engineering and product teams to deliver and improve ML-powered systems. 🗂️ Requirements: 5+ years of system integration experience, Experience integrating complex software systems, Understanding of machine learning concepts, Knowledge of networking concepts, Ability to write JavaScript or Python scripts, Willingness to travel up to 50%, Strong troubleshooting and problem-solving skills, Ability to work in high-pressure environments, Strong technical communication skills, Eligibility to obtain U.S. government clearance 📃 Skills: Python, JavaScript, API, MachineLearning, Networking, LAN, WAN, SSH, DHCP, Integration, Deployment, Scripting 🏢 Description: ABOUT THE JOB TurbineOne is a fast-moving and high-performance startup with a mission to strengthen situational awareness for Americans serving at the nation's frontlines. Its Frontline Perception System is an edge-first software platform that allows users to build and use machine learning models within comms-contested tactical environments. The company is seeking a talented and versatile Field Engineer to deploy innovative ML solutions in high-stakes environments while working directly with national security customers to ensure seamless integration and optimal performance of systems. The role serves as a key link between development teams and end-users, contributing to national security operations and advancing ML technology. Reporting to: Engineering Operations Manager Location: Geographically flexible for home-office with frequent travel required Primary Responsibilities: - Travel up to 50% of the year. - Understand customer needs and provide tailored integration solutions using the Frontline Perception System (FPS). - Identify and define integration processes for integrating FPS with existing and emergent systems. - Write software scripts to enable system integrations and workarounds. - Collaborate with engineering, product, and customer success teams to deliver robust integration solutions. - Conduct on-site assessments and evaluations of customer infrastructure. - Develop integration plans, timelines, and documentation. - Provide hands-on technical support and training during integration and deployment. - Gather customer feedback to improve integration processes and FPS capabilities. - Troubleshoot and resolve integration issues during field deployments. On a Typical Day You Would: - Provision and configure FPS deployments. - Meet with customers to understand integration requirements. - Design and document tailored integration processes. - Write JavaScript or Python scripts to route FPS-generated data through API subscriptions. - Deploy and configure FPS on-site. - Provide technical training and support. - Collaborate with internal teams to refine FPS. - Troubleshoot technical integration and deployment issues. Desired Experience and Attributes: - High standard of ethics, grit, integrity, and moral character. - 5+ years of work experience in system integration, preferably within defense or related industries. - Strong understanding of machine learning concepts and practical applications. - Understanding of networking concepts including LAN, WAN, SSH, IP, and DHCP. - Experience integrating complex software systems with existing infrastructure. - Excellent problem-solving and critical-thinking skills. - Strong communication skills with technical and non-technical stakeholders. - Willingness to travel frequently and work on-site with customers. - College degree in Computer Science, Engineering, or related field preferred. Startup Culture Expectations: - Comfortable working in a small, fully remote team. - Ability to thrive with autonomy, trust, and communication. - Comfortable with constant change, fast-paced work, and hands-on problem solving. Eligibility: - Must be eligible to obtain a clearance with the U.S. government. Desired Skills: - Experience engineering complex production systems. - Proven track record in system integration and deployment. - Experience working in resource-constrained environments. - Strong technical documentation and communication skills. Desired Attributes: - Strong interest in solving customer problems. - Self-starter mindset with proactive problem-solving. - Curiosity about how systems work and willingness to debug issues. Culture Fit: - Humility around the problem space. - Interest in meeting customer needs. - Comfort with a fully remote position and frequent travel. Compensation: - Base salary range: $130,000–$185,000 depending on experience, skills, and geographic location.

Technology

Formic Technologies

Product Engineer

Mid

On-site

San Francisco, CA

105,000 - 165,000 USD/yr

🏢 Summary: Product Engineer role focused on improving reliability, standardization, and scalability of deployed robotic automation systems by translating field data into validated engineering enhancements. The position bridges field performance and product design, leading system improvements across mechanical, electrical, controls, and safety domains. It involves hands-on automation expertise, cross-functional collaboration, and ownership of enhancement projects from analysis through rollout. 🗂️ Requirements: Hands-on experience building, commissioning, or supporting automated systems, Strong background in industrial robotics and automation integration, Ability to read and interpret electrical schematics, Understanding of automation design principles, Working knowledge of mechanical systems, pneumatics, motion components, PLCs, and safety systems, Ability to navigate CAD in 2D and 3D environments, Experience in manufacturing or production environments, Proven ability to translate engineering data into scalable product improvements 📃 Skills: Robotics, Automation, PLCs, CAD, Pneumatics, Motion, Electrical, Schematics, Safety, Manufacturing 🏢 Description: Who we are: Formic is on a mission to reshape American manufacturing by making automation accessible to every factory. We deliver automation through a Robotics-as-a-Service model that combines industrial robotics, proprietary software, and full-service support into a single, integrated solution. About the team: The Automation Engineering Team delivers robotics-driven automation deployments across a wide range of customer applications. The team partners cross-functionally to translate customer requirements into deployed systems, ensuring solutions are integrated, commissioned, and validated to perform reliably in real manufacturing environments. About the role: As a Product Engineer, you will drive fleet-wide reliability, standardization, and system evolution across deployed robotic automation systems. You will identify recurring field issues, evaluate feature requests, and translate operational feedback into durable, scalable engineering improvements. This role bridges field performance and product-level design. You will convert real-world system data into validated enhancements, structured documentation, and implementation-ready updates that improve reliability, reduce repeat failures, and strengthen long-term system sustainability. In this role you will: - Identify recurring performance issues across deployed systems and define structured improvement initiatives - Analyze mechanical, electrical, controls, and safety data to develop validated engineering enhancements - Design scalable solutions that improve reliability, performance, and maintainability - Develop implementation-ready documentation, drawings, and hardware packages for field deployment - Lead enhancement projects from definition through validation and rollout - Partner closely with Field Service and Customer Success to ensure alignment and long-term adoption - Standardize improvements to prevent one-off fixes and reduce fleet variability - Collect and structure engineering data to inform product evolution - Support new product initiatives by incorporating field-driven insights into system design What makes you a great fit: - Hands-on experience building, commissioning, or supporting automated systems - Strong background in industrial robotics and automation integration - Ability to read and interpret electrical schematics - Solid understanding of automation design principles - Working knowledge of mechanical systems, pneumatics, motion components, PLCs, and safety systems - Comfort navigating CAD in 2D and 3D environments - Understanding of manufacturing and production environments - Strong organizational and project leadership skills - Proven ability to translate structured engineering data into scalable product improvements Our Total Rewards: - Equity participation through stock options - Competitive and uncapped commission structure for eligible roles - Comprehensive medical, dental, and vision insurance with high employer contribution - FSA and DCFSA, life insurance, short-term and long-term disability (employer-paid) - Employee Assistance Program (EAP) - Up to 12 weeks of paid parental leave - Company-sponsored 401(k) - Home office stipend for remote and hybrid employees - Monthly cell phone reimbursement - Flexible paid time off policy Compensation Range: $105,000—$165,000 USD

Technology

Motional

Senior Data Scientist, Systems Performance

Senior

Hybrid

Pittsburgh, PA

🏢 Summary: Senior Data Scientist role focused on developing and improving evaluation frameworks, statistical methodologies, and performance metrics for autonomous vehicle systems. The position involves analyzing large-scale simulation and on-road data, validating safety and launch readiness, and collaborating with engineering teams to strengthen autonomous system evaluation. Candidates will work with ML and statistical methods to improve testing coverage, identify edge cases, and support scalable performance validation for robotaxi deployment. 🗂️ Requirements: 5+ years of industry experience with large-scale data analysis, Bachelor’s degree in Computer Science, Data Science, Robotics, Mathematics, Physics, Engineering, or related quantitative field, Strong Python skills, Strong SQL skills, Experience with statistical analysis and hypothesis testing, Experience applying machine learning methods to large datasets, Ability to develop rigorous data-driven analyses, Experience working independently and driving projects end-to-end, Strong communication skills for technical stakeholder collaboration 📃 Skills: Python, SQL, AWS, ML, Statistics, Transformers, Simulation, Robotics, SOTIF, ISO26262, ISO21448, MLOps 🏢 Description: Mission Summary The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. The team is responsible for driving system design, verifying and validating the autonomy stack, and defining, measuring, and validating system performance targets. The role works closely with stakeholders in autonomy, infrastructure, and operations to build the safety case for the commercial launch of fully driverless IONIQ 5 robotaxis in Las Vegas. Rigorous behavioral and system performance evaluation is critical to scaling the service and achieving long-term goals. The Senior Data Scientist will lead initiatives that improve evaluation and testing methodologies, measure the quality and trustworthiness of the evaluation portfolio, and partner with engineering teams to monitor and strengthen the health of the evaluation ecosystem. What You'll Be Doing - Lead the development of evaluation frameworks for the autonomous system using rigorous, data-driven approaches. - Collaborate with Functional Safety and Systems Engineering teams to align evaluation metrics with automotive safety standards such as SOTIF and ISO 21448. - Ensure evaluation metrics are reliable enough to inform safety cases and launch readiness decisions. - Monitor the reliability of evaluation metrics and incoming performance data over time, including drift detection and inconsistencies. - Drive performance analysis using statistical methods for simulation and on-road data. - Develop new statistical analysis methods to analyze autonomous vehicle performance data. - Partner with triage operators and simulation engineers to convert disengagements and edge cases into simulation scenarios. - Identify edge cases and coverage gaps using fleet and evaluation data. - Build confidence in the evaluation framework through data-driven insights and communication with stakeholders. - Establish correlation between on-road and simulation data. - Analyze large datasets to solve ambiguous performance questions and communicate findings. - Establish self-service evaluation tools for developers. - Develop new metrics, investigate anomalies, and collaborate with developers on performance improvements. - Promote data-aware decision making and best practices. - Mentor engineers and support a collaborative work environment. - Introduce ML methods for performance evaluation where beneficial. What You Bring - 5+ years of industry experience solving complex problems with large datasets. - Bachelor’s or higher degree in Computer Science, Computer Engineering, Data Science, Robotics, Physics, Mathematics, or related quantitative field. - Strong problem-solving skills and logical thinking. - Strong Python and SQL skills with experience using data analysis libraries. - Experience applying advanced statistical and ML methods to large datasets. - Experience with statistical analysis, hypothesis testing, causal analysis, and data analysis. - Ability to work independently and drive projects from definition to actionable results. - Strong communication and interpersonal skills. - Willingness to learn and teach new statistical and ML techniques. Bonus Points - Experience with adversarial scenario generation and closed-loop simulation. - Experience in autonomous driving or robotics. - Familiarity with distributed compute and data pipelines such as AWS. - Expertise in Machine Learning and Deep Learning. - Expertise in sequence modeling and probabilistic ML. - Familiarity with automotive safety standards such as ISO 26262 and ISO 21448. Benefits - Hybrid or fully remote work options. - Medical, dental, and vision coverage. - 401k with company match. - Health savings accounts. - Life insurance. - Pet insurance. - Bonus and equity opportunities may be available. - Salary range: $149,000–$198,500 USD.