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Salary
$60k – $90k per year
Location
In office (Taipei)
Seniority
Senior · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Deploy deep learning vision inspection in days. Train models in hours with 10x fewer images. Edge-computing cameras achieve 99.9%+ accuracy on micron-level defects. No cloud dependency, no vendor lock-in.

Job Description

The ideal candidate will have a strong background in software engineering and will develop web interfaces, ensuring the responsiveness of applications. This position will requiring good organizational skills and attention to detail to build the best possible product for our users. As a full stack engineer, this position will also encompass backend python development.

  • Be responsible for building, deploying, testing, and maintaining clean user interfaces for our product which manages the full AI data cycle, including capture, labelling, AI training, and operator interfaces

  • Work closely with our AI teams to prototype, test, and ship user-facing features, balancing user experience with product & engineering constraints

  • Work with technologies like: Typescript, React/Redux for web front end, Python for backend systems, Github, & Docker

  • Execute feature changes based on user feedback, recommend and execute improvements

Requirements

  • Over four years of professional experience in full-stack software development.

  • Proven track record in designing, developing, and maintaining complex full-stack applications.

  • Experience or strong familiarity with the company’s technology stack, including React, TypeScript, Redux, Python, PostgreSQL, and Ant Design.

  • Advanced proficiency in front-end development with React and CSS, as well as expertise in Python, database technologies, and Docker containerization.

  • Experience developing software for resource-constrained environments such as Raspberry Pi is highly desirable.

  • Prior exposure to WebAssembly and sandboxed environments is considered an asset.

  • Experience working with low-level hardware such as Linux single-board computers (SBCs) or GPUs is advantageous.

  • Previous experience in a startup environment is a plus.

  • Strong proficiency in English, both written and verbal, to effectively collaborate in a cross-functional, international team.

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