์กฐ์ง ์ด์๋ฅผ ์ง๋จํ๊ณ ํด๊ฒฐ ๋ฐฉ์์ ์ค๊ณํด ์ดํด๊ด๊ณ์์ ์คํ์ ์ด๋๋ Senior HRBP๋ก, ๋ด๋น ์กฐ์ง์ ์ด์๊ณผ ๋ณํ๋ฅผ ์ง์ํ๊ณ ์์ ๋ฐ ๊ตฌ์ฑ์์ ๋ฐ์ฐฉ ์ง์ํฉ๋๋ค.
42dot jobs
42dot is Hyundai Motor Groupโs global software center, developing software-defined vehicle and mobility technologies.
80 open roles at 42dot
ํด์ธ ๋ฒ๋ฅ ์ ๋ฌด๋ฅผ ๋ด๋นํ๋ฉฐ ๊ธ๋ก๋ฒ ๊ณ์ฝ๊ณผ ํด์ธ ์ง์ฌ ์ด์๋ฅผ ์ง์ํ๊ณ , ์์จ์ฃผํ. ์๋์ฐจ ์ํํธ์จ์ด ๊ด๋ จ ๊ท์ ๋ฐ ๊ฐ์ธ์ ๋ณด, ๋ฐ์ดํฐ, IP, AI ๋ฒ๋ฌด๋ฅผ ๊ฒํ ํฉ๋๋ค.
Develop software frameworks and embedded execution environments that optimize, deploy, and validate autonomous-driving AI models on vehicle hardware accelerators such as GPUs and NPUs.
Lead software program delivery for vehicle platforms, coordinating ECU, embedded software, cloud, and network teams to manage schedules, technical decisions, integration, testing, risks, and issues.
Leads product planning for SDV and AI mobility products, translating OEM needs and market insights into viable roadmaps, offerings, pricing, and business models while guiding the team from launch through market expansion.
Senior Program Manager (Vehicle Regulatory & Safety Requirements)
Owns vehicle regulatory and safety requirements across ADAS, autonomous driving, IVI, and SDV software, translating global regulations and standards into product requirements, verification criteria, and compliance plans.
Lead Pleos Connect IVI projects from requirements through vehicle integration and production, aligning OEM schedules and cross-functional teams while managing technical dependencies, risks, and issues.
Build and operate Android/AAOS test automation for in-vehicle infotainment, leading end-to-end validation across UI interactions and vehicle interfaces while integrating regression testing into CI/CD pipelines.
Designs and develops core media framework and communicator engines for Vehicle OS, enabling media services such as autonomous driving, parking, driver monitoring, data collection, and dashcams to operate reliably.
์ฐจ๋ ๋ฐ๋. ํธ์ ์ํํธ์จ์ด์ ํตํฉ ๊ธฐ๋ฅ๊ณผ ์ฑ๋ฅ์ ๊ฒ์ฆํ๊ณ , ์๋๋ฆฌ์ค ๊ธฐ๋ฐ ํ ์คํธ ๋ฐ ์๋ํ ์ฒด๊ณ๋ฅผ ๊ตฌ์ถํด ์ฐจ๋ ์์คํ ์ ํ์ง๊ณผ ๊ฒ์ฆ ํจ์จ์ ๋์ ๋๋ค.
Develop vehicle applications on Pleos Vehicle OS, implementing core services and ensuring reliability through fault-tolerant architecture, distributed messaging, and ongoing maintenance and quality improvements.
Leads functional safety across vehicle system and software development, managing ISO 26262 plans, safety requirements, analyses, verification, audits, and customer and supplier coordination throughout the product lifecycle.
Senior Program Manager (Vehicle Change & Configuration Management)
Establishes and operates vehicle-wide software change and configuration management, ensuring changes are assessed, approved, traceable, and consistently reflected across vehicle releases.
Designs and develops automated system verification environments for SDV-based vehicle systems, owning test strategy, bench setup, execution, analysis, and end-to-end automation from software release through reporting.
ํตํฉ ์ฐจ๋ ์ํํธ์จ์ด ์ ๋ฐ์ดํธ์ ๊ธฐ๋ฅ. ์ฑ๋ฅ. ๋ณต๊ตฌ. ๋ณด์์ ๊ฒ์ฆํ๊ณ , ํ ์คํธ ์๋ํ์ ์ด์ ๋ถ์์ ํตํด ์์ฐ ์ ํ OTA ํ์ง๊ณผ ๋ฐฐํฌ ์์ ์ฑ์ ๋์ ๋๋ค.
Leads OEM business development strategy and execution, from identifying opportunities and negotiating contracts to expanding partnerships, while setting team goals and driving cross-functional collaboration and growth.
์์จ์ฃผํ ์์คํ ์ ํต์ฌ ๋ฏธ๋ค์จ์ด ํ๋ ์์ํฌ์ ์ค์๊ฐ ํต์ . ์คํ ์์คํ ์ ์ค๊ณํ๊ณ ๊ฐ๋ฐํ๋ฉฐ, ์ฐจ๋์ฉ ์ํํธ์จ์ด์ ์์ ์ฑ, ์ ๋ขฐ์ฑ, ์ฑ๋ฅ ๋ฐ ํ์ฅ์ฑ์ ๋์ ๋๋ค.
Design, build, and operate on-premises and public cloud network infrastructure supporting autonomous driving and SDV development, while improving network security, monitoring, reliability, and performance.
Lead end-to-end business development for connected vehicle data, from market strategy and customer partnerships to commercial negotiations, product commercialization, and revenue growth across global B2B fleet data markets.
์ฐจ๋์ฉ ์ ํ๋ฆฌ์ผ์ด์ ์ ์ค๊ณ. ๊ฐ๋ฐํ๊ณ ์ฐจ๋ ๋ฐ์ดํฐ๋ฅผ ์์ง. ์ฒ๋ฆฌ. ์ ์กํ๋ฉฐ, ํด๋ผ์ฐ๋ ์ฐ๋์ ์ํ ํต์ . ์ธ์ฆ. ๋ณด์ ๊ธฐ๋ฅ๊ณผ ํ์ฅ ๊ฐ๋ฅํ ์ํํธ์จ์ด ๊ตฌ์กฐ๋ฅผ ๊ตฌํํฉ๋๋ค.
Develop reinforcement learning methods to improve end-to-end autonomous driving models, from policy optimization and self-play training to closed-loop evaluation and integration with driving models.
์์จ์ฃผํ ๋ชจ๋ธ์ ํ๊ฐ์ failure triage๋ฅผ ์๋ํํ๋ LLM/VLM ๊ธฐ๋ฐ agent ์์คํ ์ ์ค๊ณ. ๊ฐ๋ฐํ๊ณ , pseudo-label ํ์ง ๊ฒ์ฆ๋ถํฐ closed-loop evaluation pipeline ํตํฉ๊น์ง ์ฃผ๋ํฉ๋๋ค.
Develop offline SLAM, localization, sensor calibration, and 3D reconstruction algorithms to produce high-quality spatial data for autonomous-driving AI, improving large-scale driving-data pipelines and quality.
์๋ฆฝ. ์ด์ํ ์ ์ฌ ๋ณด์ ์ ์ฑ ๊ณผ ์ ๋ณด๋ณดํธ ์ธ์ฆ ์ฒด๊ณ๋ฅผ ๊ด๋ฆฌํ๊ณ , ์๋น์ค. ์ ํ ๋ณด์ ๊ฒํ ์ ์ํ ๋ชจ๋ํฐ๋ง์ ํตํด ๋ณด์ ์ทจ์ฝ์ ๋ฐ ๋ฆฌ์คํฌ ๊ฐ์ ์ ์ด๋๋๋ค.
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