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Open jobs19
NEW · 7D+8
Top hiring locationSeongnam-si, Gyeonggi-do, KR
Last checkedNov 1, 2026
HIRING TELEMETRY · CURRENT OBSERVATION
Read current hiring through measured values
01CURRENT HIRING
19Open jobs
DIRECT15
ADJACENT4
NEW · 7D+8
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
33DObserved window
Monitoring startedSep 28, 2026
Latest observedNov 1, 2026
COMPARABLE HISTORICAL TRENDNOT YET AVAILABLE
NEW · 7D jobs: 8 · latest Oct 28, 2026 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
QualitySW Test Engineer (편의)Seongnam-si, Gyeonggi-do, KR
Official apply ↗QualitySystem Test Engineer (SW Update)Seongnam-si, Gyeonggi-do, KR
Official apply ↗Field & Integration[집중채용] Vehicle Service EngineerSeongnam-si, Gyeonggi-do, KR
Official apply ↗Unclassified role[집중채용] Senior Program Manager (Vehicle Change & Configuration Management)Seongnam-si, Gyeonggi-do, KR
Official apply ↗Quality[집중채용] System Test Engineer (System Verification)Seongnam-si, Gyeonggi-do, KR
Official apply ↗Software Engineering[집중채용] Software Engineer (AD Framework)Seongnam-si, Gyeonggi-do, KR
Official apply ↗Quality[집중채용] SW Test Engineer (Diagnostics)Seongnam-si, Gyeonggi-do, KR
Official apply ↗Field & Integration3D Application Engineer (Automotive 3D Visualization) Software Full-time 42dot Sunnyvale, United StatesCountry unconfirmed
Official apply ↗Recurring work experience
Experience repeated in current postings
These are recurring work requirements or experience areas in current job postings.
BANSEOG OUTLOOK
The CEO carries two business cards. So where is the door that decides whether your code ships?
Since January 2026 Park Min-woo has served as both head of the Hyundai Motor and Kia AVP Division and CEO of 42dot. 42dot is co-developing Atria AI with the AVP Division and plans to bring out a Level 2++ vehicle in the second half of 2029. In July it was reported that about 200 AVP Division developers moved to the Namyang R&D Center and that later hires would go to validation and production work. Experienced hiring of about 200 people within the year runs at the same time. Banseog reads this company's software as reaching the car through several decision stages inside the group rather than through a market bid. So Banseog sees knowing the order of those stages, more than the boundaries between companies, as the next talent challenge.
Questions before joining
- Which organization gives final approval to this role's work: 42dot, the AVP Division or the Namyang R&D Center?
- Are the handover criteria written down for when a research model moves to on-road testing and production?
- When organizations disagree, who decides, and at what stage?
As the on-road testing announced for late this year through early next year gets under way, explaining a change through real driving differences rather than training metrics may be the first thing asked.
If validation and production staff sit in another organization, designing when and with what evidence to hand over work made at 42dot may become important.
As the target nears, tying the change history of models, data and vehicle software into the language of production decisions may matter more. These are conditional stages, not confirmed dates or hiring plans.
Capabilities gaining importance
Understanding production pass criteria across organizationsExplaining model changes in the language of vehicle developmentDesigning the handover of research results to validation teamsOn-road validation of VLA and end-to-end modelsIntegrating models with vehicle OS and middleware
Talent markets to explore
Autonomous-driving deep learning and VLAAutomaker production software validationVehicle OS and SDV softwareTraining infrastructure and data engineeringSystem integration at automaker R&D centers
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 until your work leaves your own team and reaches the car. Check individual postings for actual duties and qualifications.
Proving model improvement with training metrics→Explaining it through on-road differences and handing it over so validation teams can reproduce it
Collecting driving data and managing training efficiency→Tracing across organizations which data supported which decision
Developing and providing platform features→Agreeing interfaces that link vehicle development schedules with the change cycle of research models
Running set on-road test items→Setting pass criteria together from the research stage and writing the evidence for release decisions
Coordinating team schedules and deliverables→Making visible and managing the order and owners of decisions across entities and divisions
Setting the direction of model architecture→Also judging how an architecture change affects production schedules and other teams' work
CAREER LENS
Experience getting your code past pass criteria set outside your team
Look for work you carried to the point where another team, another customer or another certifier judged whether it passed. Adjacent experience suggests connections, not eligibility or a personal-fit verdict.
Experience to show in your career history
✓
Moving a research model into on-road tests and explaining the difference with numbers and video
✓
Handing over software by meeting the criteria of a validation team outside your own group
✓
Keeping a schedule by working out the decision path inside a large organization
✓
Adjusting the impact of a model change together with vehicle platform owners
✓
Putting software into a production vehicle and managing its change history
✓
Finding problems in driving data and connecting them to training and reproduction tests
Where adjacent experience can lead
Training large models is a strength, and it helps to show a case where another team validated your results by its own criteria.
Knowing the stages and pass criteria of vehicle development can lead to roles linking research and production.
Going through automaker acceptance reviews connects to understanding production decisions inside the group.
Real-time communication and system architecture experience can lead to work linking models and vehicles.
Tracing where data came from and how it changed connects to managing the basis for decisions.
Keeping schedules by bringing together decisions from several entities and departments.
Questions before joining
- Which organization gives final approval to this role's work: 42dot, the AVP Division or the Namyang R&D Center?
- Are the handover criteria written down for when a research model moves to on-road testing and production?
- When organizations disagree, who decides, and at what stage?
- Is this role evaluated on model metrics, on-road results or what reaches production?
- Can I learn in advance which teams at the AVP Division or Namyang I would work with after joining?
PLACE × TALENT INTELLIGENCE
Work connected across locations
These interpretations use publicly stated sites and activities. They do not describe regional hiring plans or current staffing.
The headquarters hosted the autonomous-driving media day in September 2026. It is read as where research results face their first decision, with no assumption about team placement.
Autonomous-driving deep learningTraining infrastructureVehicle OS
42dot says it runs about 40 IONIQ 5-based collection vehicles and about 20 IONIQ 6-based test vehicles. They are read as a moving site where the evidence for the next organization is made.
Driving dataOn-road testingReproducing issues
The company says a robotics middleware expert joined here as a principal research fellow. It is read as a point that connects to Pangyo's decision path with a time lag, with no assumption about local team size.
Robotics middlewareSystem architectureResearch exchange
About 200 AVP Division developers were reported to have moved to the Namyang R&D Center in July 2026. This is read as a junction where decisions pass, more than a specific location. Internal role division remains a question to verify.
Production criteriaChange managementCross-organization coordination
Pangyo model → on-road test evidence → AVP Division decision → production work at Namyang → pass criteria for the next model