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NEW · 7D+0
Top hiring location트위니 | 대한민국 대전광역시 유성구 가정북로 90
Last checkedNov 12, 2026
HIRING TELEMETRY · CURRENT OBSERVATION
Read current hiring through measured values
01CURRENT HIRING
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DIRECT2
ADJACENT1
NEW · 7D+0
This is the current job count. It does not by itself establish hiring expansion, contraction or company growth.
02ANALYSIS COVERAGE
This company's postings have not been analyzed yet. Only the current job count and observation time are shown.
03OBSERVATION WINDOW
56DObserved window
Monitoring startedSep 16, 2026
Latest observedNov 12, 2026
COMPARABLE HISTORICAL TRENDNOT YET AVAILABLE
NEW · 7D jobs: 0 How to read confirmed / not confirmed / NEW · 7D
Confirmed means directly stated in current postings. Not confirmed means the item has not been verified in the postings reviewed. NEW · 7D means first observed by Banseog within the last seven days.
WHAT THEY ARE HIRING FOR
Start with your role
CURRENT OPEN JOBS
Current jobs you can inspect now
Unclassified role트위니 X 미래융합교육원 교육 참여자 모집Country unconfirmed
Official apply ↗Mechanical[로봇개발본부] 자율주행로봇 기구 설계 담당자 채용트위니 | 대한민국 대전광역시 유성구 가정북로 90
Official apply ↗Unclassified role[로봇개발본부] 자율주행 이동로봇 관제 솔루션(ACS) 개발자 채용트위니 | 대한민국 대전광역시 유성구 가정북로 90
Official apply ↗Recurring work experience
Experience repeated in current postings
These are recurring work requirements or experience areas in current job postings.
BANSEOG OUTLOOK
TWINNY robots leave people their hands and take over only the walking
After TWINNY committed to autonomous robots in 2018, the first product it showed, Jangbogo, was a robot that followed a person, built at a retailer's request. In 2024 the company regrouped its line by use rather than by payload, and in its main product, Nargo Order Picking, a person picks the item while the robot does the moving. When the worker finishes and presses the move button, the robot goes to the next zone. Its Nargo Delivery robot in Sejong likewise shares sidewalks and elevators with passersby. Banseog reads the habit as repeatedly choosing work that leaves human hands on site and takes over only the walking. That is why Banseog sees the next talent challenge as more than driving performance: making the robot easy to work with for the person beside it from the first day.
Questions before joining
- How long does a first-time worker take to learn Nargo Order Picking?
- How do worker complaints reach the development team?
- Who decides when driving performance and site work speed conflict?
The company has said some warehouse customers have signed for more than 100 units. As sites grow, screens and work orders that non-experts can learn quickly may become important.
LX Pantos and Seojin Automotive's overseas network were both mentioned in 2026. Matching robot movement to work habits that differ by country may become a larger job.
The company plans to apply its software to industrial robots, humanoids and other platforms. Whether driving experience gained among people holds on other bodies may become important. These are conditional stages, not confirmed dates or hiring plans.
Capabilities gaining importance
Designing the work order between people and robotsDesigning the experience of floor workersStabilizing autonomous driving in spaces with peopleConnecting warehouse systems and robotsSupporting operations in the first week of adoption
Talent markets to explore
Warehouse operations and work designMobile robot and autonomous driving softwareWarehouse management system projectsUser experience for industrial productsField technical support and maintenance
Current hiring comes from the existing verified data pipeline. This is a conditional talent and organization outlook, not a company hiring plan, personal-fit assessment or hiring-probability forecast. · 2026-11-01
FUTURE TALENT SHIFT
How responsibilities may expand
Follow the responsibility that runs to the point where a robot's movement meets a person's hands. Check individual postings for actual duties and qualifications.
Improving localization and path planning→Designing driving that accounts for the moments people stop or step in
Placing robots to customer requirements→Designing the worker's picking order and the robot's moving order together
Organizing around payload and specifications→Deciding features by use, based on a worker's day
Installation and fault response→Sorting worker complaints into records development can use
Connecting warehouse system orders to robots→Also checking how far order grouping reduces worker walking
Building management screens→Designing robot screens and signals a gloved worker can use on day one
CAREER LENS
Experience watching people work and fitting machines to that flow
More than robot experience, look for times you observed how people move on site and changed a design as a result. Adjacent experience suggests connections, not eligibility or a personal-fit verdict.
Experience to show in your career history
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Measuring worker routes and changing a process or layout
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Fixing an equipment screen so first-time users could operate it right away
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Running robots or equipment reliably in spaces where people move
✓
Raising productivity by adjusting order grouping or picking sequence
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Organizing site complaints and connecting them to product changes
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Staying on site during early adoption to stabilize operations
Where adjacent experience can lead
Experience with picking routes and staffing can connect to site design roles.
Designing order grouping and work instructions is the connection.
Experience with localization and avoidance around people.
Designing screens and signals for equipment used by floor workers.
Handling peak volume and training short-term staff can connect to adoption sites.
Operating equipment and training users at their side can carry over.
Questions before joining
- How long does a first-time worker take to learn Nargo Order Picking?
- How do worker complaints reach the development team?
- Who decides when driving performance and site work speed conflict?
- Which team connects to the customer's warehouse system?
- Does this role sit in order picking, factory, delivery or software for other robots?
PLACE × TALENT INTELLIGENCE
Work connected across locations
These interpretations use publicly reported locations and operations. They do not describe regional hiring plans or current staffing.
The company has been reported as based in Daejeon. This reads as where its technology started, with no estimate of current team structure or size.
Autonomous developmentLocalizationRobot software
Nargo Delivery was publicly demonstrated in November 2023. This reads as where experience of sharing space with people builds up, without presuming the current scale.
Pedestrian-space drivingElevator integrationService operations
A June 2025 agreement described a trial of about a month and added development of requested scenarios. We could not confirm the results from public sources and do not presume them.
Order pickingSite-specific developmentWork efficiency measurement
In April 2026 the company announced an initial supply of five Nargo Order Picking units. The plan is to add units at hubs in Korea and abroad based on operating data; actual growth is not presumed.
Operating dataStaged adoptionOverseas hub links
Observing worker routes → designing the work order → site adoption → recording discomfort and exceptions → software improvement