Field Robotics Deployment Engineer | Equity & Learning Budget

HackerTrail; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Equity participation

Equipment stipend

Travel opportunities

Learning and skills development budget

Generous leave and parental leave

AI infrastructure credits

Job summary

HackerTrail is seeking a deployment-focused robotics engineer to own end-to-end field deployments. You will work directly with robotic systems in commercial environments, translating field friction into research questions, and shaping reusable capabilities across perception, navigation, manipulation, and teleoperation.

The role involves building data collection, model adaptation, and evaluation designs, collaborating with research and platform teams to scale deployments in real-world use cases.

Qualifications

• Deep expertise in at least one of: perception, navigation, manipulation, or teleoperation.
• Experience deploying AI, robotics, autonomous, or embodied systems in real environments.
• Ability to work across disciplines when deployment challenges require it.
• Experience collecting and curating real-world deployment data for model or system improvement.
• Experience designing evaluations or benchmarks for systems in real-world settings.

Responsibilities

• Own real deployment problems end to end in variable field conditions.
• Translate deployment friction into research questions and stack improvements.
• Build and adapt systems across the deployment loop: data collection, model adaptation, evaluation design.
• Collaborate with core research and platform teams to make field learnings reusable.
• Contribute expertise across perception, navigation, manipulation, or teleoperation.
• Help shape how humanoid robots are deployed, improved, and scaled across real-world use cases.

Job description

HackerTrail is seeking a deployment-focused robotics engineer to own end-to-end field deployments. You will work directly with robotic systems in commercial environments, translating field friction into research questions, and shaping reusable capabilities across perception, navigation, manipulation, and teleoperation.

The role involves building data collection, model adaptation, and evaluation designs, collaborating with research and platform teams to scale deployments in real-world use cases.