Own the full development lifecycle of the AMR mobile base system — from early prototyping and POC through to large-scale commercial deployment in demanding indoor warehouse settings
Perform process sustaining tasks on 12-hours shifts (morning & night) such as holding lots dispositions, shift pass-down, alarm recovery, tool set-up data review, SPC/FDC/YDD out-of-control inhibits and checking, data analysis and compilation, and tasks claim as assigned by supervisors.
Perform process sustaining tasks on 12-hours shifts (morning & night) such as holding lots dispositions, shift pass-down, alarm recovery, tool set-up data review, SPC/FDC/YDD out-of-control inhibits and checking, data analysis and compilation, and tasks claim as assigned by supervisors.
Develop and validate models using operational sensor data for failure prediction, asset(mechanical and electrical equipment) degradation monitoring, early-warning detection, remaining useful life estimation, and time-to-threshold forecasting.
Documentation & Support: Draft technical documentation, project reports, and high-impact academic publications while supporting peer researchers on field activities.
Build and operate shared AI platforms: a multi-provider LLM gateway, an agent orchestration layer, an evaluation and monitoring layer, and a staff assistant.
Prompt Engineering & Evaluation: Design and execute sophisticated test cases using prompt injection and adversarial testing to evaluate the AI’s boundaries and responses.
Build and enhance the in-house partner portal including onboarding flows, tracking link generation, analytics dashboards, commission statements, payout management, and sub-affiliate tools
AI Model Test, Evaluate, Validate, Verify: Design and conduct systematic tests to evaluate AI model safety, security, and performance. This includes researching and applying various security/safety test domains, industry benchmarks, and advanced evaluation methodologies (e.g., benchmark based evaluations, LLM-as-a-Judge, etc).
Strong independent coding capability. While we encourage using AI tools for productivity, you must be able to write, evaluate and troubleshoot code autonomously rather than relying on AI to generate solutions
Build global logistic and warehousing network, improve operations efficiency and reduce operational cost with data analysis, machine learning and operation research methods.