Deployment Engineer

Jobtailor; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Jobtailor is seeking an experienced professional to own end-to-end deployment problems for humanoid robotic systems in real-world environments. You will work directly with robotic hardware in commercial and industrial settings, turning deployment friction into research questions and enabling reusable capabilities across teams.

The role requires deep domain expertise in perception, navigation, manipulation, or teleoperation, plus experience deploying AI and embodied systems outside the lab.

Qualifications

• Deep expertise in at least one relevant technical domain: perception, navigation, manipulation, or teleoperation.
• Experience deploying AI, robotics, or embodied systems in real environments.
• Able to explain complex technical concepts to both technical and non-technical audiences.
• Comfort moving between software, research, operations, and user conversations as needed.

Responsibilities

• Own real customer and deployment problems end to end, from understanding the workflow to diagnosing failures in the field.
• Work directly with robotic systems in commercial and industrial environments where variability, ambiguity, and operational constraints are the norm.
• Translate deployment friction into research and product questions.
• Identify missing capabilities, needed data, appropriate evaluations, and stack improvements.
• Build and adapt systems across the deployment loop, including data collection, task-specific fine-tuning, and evaluation design.
• Collaborate with core research and platform teams so field learnings become reusable capabilities instead of one-off fixes.
• Contribute domain expertise to a broader forward deployment practice.
• Help define the operating model for how humanoid systems are deployed, improved, and scaled.

Skills

Perception

Navigation

Manipulation

Teleoperation

AI Deployment

Job description

• Own real customer and deployment problems end to end, from understanding the workflow to diagnosing failures in the field


• Work directly with robotic systems in commercial and industrial environments where variability, ambiguity, and operational constraints are the norm


• Translate deployment friction into research and product questions


• Identify missing capabilities, needed data, appropriate evaluations, and stack improvements


• Build and adapt systems across the deployment loop, including data collection, task‑specific fine‑tuning, and evaluation design


• Collaborate with core research and platform teams so field learnings become reusable capabilities instead of one‑off fixes


• Contribute domain expertise to a broader forward deployment practice


• Help define the operating model for how humanoid systems are deployed, improved, and scaled

Requirements

• Deep expertise in at least one relevant technical domain: perception, navigation, manipulation, or teleoperation


• Experience deploying AI, robotics, or embodied systems in real environments rather than only in lab settings


• Comfortable working outside your specialization when the deployment demands it


• Experience collecting, cleaning, or curating deployment data for model improvement


• Experience designing evaluations or benchmarks for systems that interact with real‑world environments


• Able to explain complex technical concepts clearly to both technical and non‑technical audiences


• Energized by ambiguity, motivated by ownership, and wants to see work survive contact with the real world


• Comfort moving between software, research, operations, and user conversations as needed


• Evidence of building trust with users while maintaining a strong technical point of view


• Prior experience in a forward deployed or customer‑facing technical role at a fast‑moving company

Core Competencies

Demonstrates deep expertise in perception, navigation, manipulation, or teleoperation, with a strong ability to deploy AI and robotics systems in real‑world environments. Capable of translating deployment challenges into actionable research questions while effectively communicating complex technical concepts to diverse audiences.

Highest-signal resume keywords

• Deep Expertise In Perception


• Experience Deploying AI Systems


• Data Collection And Curation


• Evaluation Design For Real-World Systems


• Customer-Facing Technical Role Experience

ATS Optimization Keywords

Hard Skills

• Perception


• Navigation


• Manipulation


• Teleoperation


• AI Deployment


• Data Cleaning


• Benchmark Design


• System Evaluation


• Robotics


• Embodied Systems

Soft Skills

• Clear Communication


• Ownership


• Trust Building


• Adaptability


• Motivation In Ambiguity

Industry Keywords

• Robotic Systems


• Deployment Loop


• Operational Constraints


• Field Learnings


• Forward Deployment Practice