Robotics Software Engineer - SLAM

Bear Robotics Inc โ€” South Korea ยท Posted ~1 day ago

Onsite

Skills

SLAM LiDAR Visual SLAM Camera sensors Sensor systems SLAM algorithm development C++ Production-level software development Software testing Cross-functional collaboration Computer Vision

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Summary โœจ AIโ€‘Generated

A robotics software engineering role focused on SLAM using LiDAR and visual sensors. You will analyze, design, develop, and test localization capabilities, create tests for new sensor systems and algorithms, produce high-quality production code, and collaborate with engineers and domain experts to continuously improve autonomous robotic systems.

Highlights

Work on advanced robotics perception and localization systems using LiDAR and visual sensors. The role offers ownership of production-grade SLAM features, collaboration with multidisciplinary engineering teams, and opportunities to improve autonomous robotic systems at scale.

Description

Role: Robotics Software Engineer, SLAM Location: Seoul, Korea Apply to join the Bear Team! '์„ธ๊ณ„ ์ตœ๊ณ ์˜ AI ๊ธฐ๋ฐ˜ ๋ชจ๋นŒ๋ฆฌํ‹ฐ ํ”Œ๋žซํผ ๊ธฐ์—…'์œผ๋กœ ์„ฑ์žฅํ•˜๊ณ  ์žˆ๋Š” ๋ฒ ์–ด๋กœ๋ณดํ‹ฑ์Šค์—์„œ ๊ฐ ๋ถ„์•ผ์—์„œ ์ตœ๊ณ  ์ˆ˜์ค€์˜ ๋™๋ฃŒ๋“ค๊ณผ ํ•จ๊ป˜ ํ•  ์—ฌ๋Ÿฌ๋ถ„์„ ๊ธฐ๋‹ค๋ฆฝ๋‹ˆ๋‹ค. ๋ฒ ์–ด๋กœ๋ณดํ‹ฑ์Šค๋Š” ํ˜„์žฌ ๋ฏธ๊ตญ, ํ•œ๊ตญ, ์ผ๋ณธ ๋“ฑ ์ „ ์„ธ๊ณ„ 200๋ช…+ ์ด์ƒ์˜ ์ง์›๋“ค์ด ๊ธด๋ฐ€ํ•˜๊ฒŒ ํ˜‘์—…ํ•˜๊ณ  ์žˆ์œผ๋ฉฐ ๋กœ๋ด‡ ์†Œํ”„ํŠธ์›จ์–ด ํ”Œ๋žซํผ ๊ตฌ์ถ•, ๊ตฐ์ง‘์ œ์–ด ๊ธฐ์ˆ , ํด๋ผ์šฐ๋“œ ๊ด€์ œ ์†”๋ฃจ์…˜ ๋“ฑ์˜ ๋ถ„์•ผ์— ์šฐ์ˆ˜ํ•œ ๊ธฐ์ˆ ๋ ฅ์„ ๋ณด์œ ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.๋ฒ ์–ด๋กœ๋ณดํ‹ฑ์Šค๋Š” ์„œ๋น™๋กœ๋ด‡์„ ์‹œ์ž‘์œผ๋กœ ์ „ ์„ธ๊ณ„ 20์—ฌ๊ฐœ๊ตญ์—์„œ ์•ฝ 2๋งŒ๋Œ€์˜ AI ๊ธฐ๋ฐ˜ ์„œ๋น„์Šค ๋กœ๋ด‡์„ ๊ณต๊ธ‰ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ตœ๊ทผ์— ์„ ๋ณด์ธ AMR(Autonomous Mobile Robot)์€ ๋กœ๋ด‡ ํŠธ๋ž˜ํ”ฝ์„ ์ œ์–ดํ•˜๋Š” ์ž์ฒด ๋กœ๋ด‡ ํ”Œ๋žซํผ์„ ํ†ตํ•ด ๋ฌผ๋ฅ˜ ํ”„๋กœ์„ธ์Šค๊ฐ„ ๋ฌด์ค‘๋‹จยท์›๊ฒฉ ์ž์œจ์ด๋™๋กœ๋ด‡ ์†”๋ฃจ์…˜์„ ์ œ๊ณตํ•˜๊ณ  ์žˆ์œผ๋ฉฐ,ํ•œ ๊ณต๊ฐ„์— ์ตœ๋Œ€ 1000์—ฌ๋Œ€์˜ ๋กœ๋ด‡์„ ํšจ์œจ์ ์œผ๋กœ ์šด์˜ํ•  ์ˆ˜ ์žˆ๋Š” ๊ตฐ์ง‘์ œ์–ด ๊ธฐ์ˆ ์—์„œ ๊ฒฝ์Ÿ๋ ฅ์„ ๊ฐ€์ง€๊ณ  ์žˆ๋‹ค๋Š” ํ‰๊ฐ€๋ฅผ ๋ฐ›๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.๋ฒ ์–ด๋กœ๋ณดํ‹ฑ์Šค๋Š” 2024๋…„ 6์ฒœ๋งŒ๋‹ฌ๋Ÿฌ์˜ ํˆฌ์ž๋ฅผ ๋ฐ›์€๋ฐ ์ด์–ด, LG์ „์ž์˜ ์ง€๋ถ„ ์ถ”๊ฐ€ ์ธ์ˆ˜๋ฅผ ํ†ตํ•œ ๊ฒฝ์˜๊ถŒ ํ™•๋ณด๋กœ 2025๋…„ 5์›” LG์ „์ž์˜ ๊ณ„์—ดํšŒ์‚ฌ๋กœ ํŽธ์ž…๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์•ž์œผ๋กœ ์ „ ์„ธ๊ณ„๋กœ ๋”์šฑ ํ™•์žฅํ•  ๋ฒ ์–ด๋กœ๋ณดํ‹ฑ์Šค์™€ ํ•จ๊ป˜, ์ˆ˜๋งŽ์€ ํ˜์‹ ์„ ๋งŒ๋“ค์–ด๊ฐ€๋ฉฐ ๋ณธ์ธ์˜ ์—ญ๋Ÿ‰์„ ๋งˆ์Œ๊ป ๋ฐœํœ˜ํ•˜์‹ค ์—ฌ๋Ÿฌ๋ถ„์„ ๋ชจ์‹ญ๋‹ˆ๋‹ค. [Main Responsibilities] ๋กœ๋ณดํ‹ฑ์Šค SLAM(LiDAR/Visual)๊ณผ ๊ด€๋ จ๋œ ์—…๋ฌด ์ˆ˜ํ–‰์นด๋ฉ”๋ผ์™€ LIDAR ์„ผ์„œ ์ž…๋ ฅ์„ ์‚ฌ์šฉํ•˜์—ฌ ๊ธฐ์กด ๋ฐ ์ƒˆ๋กœ์šด SLAM ๊ธฐ๋Šฅ์„ ๋ถ„์„, ์„ค๊ณ„, ๊ฐœ๋ฐœ ๋ฐ ํ…Œ์ŠคํŠธ์ƒˆ๋กœ์šด ์„ผ์„œ์‹œ์Šคํ…œ๊ณผ SLAM ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์œ„ํ•œ ํ…Œ์ŠคํŠธ ๊ฐœ๋ฐœ ๋ฐ ์ œํ’ˆ ์ ์šฉํŒ€๊ณผ ํ•จ๊ป˜ ์ƒํ˜ธ ๋ฆฌ๋ทฐ ๋ฐ ํ† ๋ก ์„ ํ†ตํ•œ ๊ณ ํ’ˆ์งˆ์˜ ํ”„๋กœ๋•์…˜ ๋ ˆ๋ฒจ ์ฝ”๋“œ ์ƒ์„ฑ ๋ฐ ์ œํ’ˆ์ ์šฉ ์ง€์›๊ด€๋ จ ์—”์ง€๋‹ˆ์–ด, ์ œํ’ˆ ๊ด€๋ฆฌ์ž ๋ฐ ๋„๋ฉ”์ธ ์ „๋ฌธ๊ฐ€๋กœ ๊ตฌ์„ฑ๋œ ์—ฌ๋Ÿฌ ๋ถ„์•ผ์˜ ํŒ€๊ณผ ํšจ๊ณผ์ ์œผ๋กœ ํ˜‘์—…ํ•˜๊ณ  ๊ธฐ๋Šฅ๊ฐœ์„ ์  ๋„์ถœ ๋ฐ ํ–ฅ์ƒ์ž‘์—… ์ง„ํ–‰๋ณธ์ธ ์—…๋ฌด์— ๋Œ€ํ•œ ์ฑ…์ž„๊ฐ๊ณผ ์˜ค๋„ˆ์‹ญ์„ ๋ฐ”ํƒ•์œผ๋กœ ๋…๋ฆฝ์  ์—…๋ฌด ์ถ”์ง„ [Required Experience and Qualifications] Image Processing, SLAM์— ๋Œ€ํ•œ ํญ๋„“์€ ๋ฐฐ๊ฒฝ ์ง€์‹์„ ๊ฐ–๊ณ  ๊ณ„์‹  ๋ถ„์ปดํ“จํ„ฐ๊ณตํ•™ ๋˜๋Š” ๊ด€๋ จ ๋ถ„์•ผ์˜ ์„์‚ฌ ๋˜๋Š” ๋ฐ•์‚ฌ ํ•™์œ„ ๋ณด์œ ์ž๋กœ SLAM๊ด€๋ จ ์—ฐ๊ตฌ๊ฒฝ๋ ฅ์„ ๊ฐ€์ง€๊ณ  ์žˆ๊ฑฐ๋‚˜ ํ•ด๋‹น ๋ถ„์•ผ 5๋…„ ์ด์ƒ ๊ฒฝ๋ ฅ ๋ณด์œ ์ž๋กœ๋ด‡ ๊ณตํ•™, ์ปดํ“จํ„ฐ ๊ณผํ•™, ๋จธ์‹  ๋Ÿฌ๋‹ ๋˜๋Š” ๊ธฐํƒ€ ๊ด€๋ จ ๋ถ„์•ผ์— ๋Œ€ํ•œ ๊นŠ์€ ์ง€์‹Linux/C++/Python์œผ๋กœ ๊ณ ํ’ˆ์งˆ์˜ ์ฝ”๋“œ๋ฅผ ํŽธ์•ˆํ•˜๊ฒŒ ์ž‘์„ฑํ•  ์ˆ˜ ์žˆ๋Š” ๋Šฅ๋ ฅGit์„ ํ†ตํ•œ ํ˜‘์—… ๊ฒฝํ—˜์„ ๋ณด์œ  [Preferred Experience and Qualifications] Git ๊ธฐ๋ฐ˜์˜ Code Review ์ ˆ์ฐจ์— ์ต์ˆ™ํ•œ ๋ถ„์ž์œ ๋กœ์šด ๋น„์ง€๋‹ˆ์Šค ์˜์–ด ์ปค๋ฎค๋‹ˆ์ผ€์ด์…˜ ๋Šฅ๋ ฅ์ด์ข…๋ณตํ•ฉ์„ผ์„œ์‹œ์Šคํ…œ์„ ์œ„ํ•œ Calibration ๊ฒฝํ—˜System-specific Optimization ๊ฒฝํ—˜Machine Learning/Deep Learning ๊ธฐ๋ฒ• ์ ์šฉ ๊ฒฝํ—˜Tech items: SLAM, optimization problem solving, probabilistic robotics, sensor fusion, AI computer vision algorithms, ROS, deep learning, feature detection and matching โœ”๏ธ์ฑ„์šฉ Process ์ž…์‚ฌ์ง€์›์„œ๋ฅ˜ ์ „ํ˜• ๐Ÿ‘‰ ํ†ต๊ณผ์‹œ HR Screening๋ฉด์ ‘ ์ „ํ˜• ๐Ÿ‘‰ Peer Interview(3์‹œ๊ฐ„) - ์ž„์› ์ธํ„ฐ๋ทฐ(1์‹œ๊ฐ„)์ฒ˜์šฐ ํ˜‘์ƒ์ตœ์ข… ํ•ฉ๊ฒฉ โœ”๏ธ๋ฒ ์–ด๋กœ๋ณดํ‹ฑ์Šค ์ฃผ์š” ๊ธฐ์‚ฌ (๐Ÿ‘‡ํด๋ฆญ๐Ÿ‘‡) โœจโ€œ๊ตฌ๊ธ€์„ ๋ฐ•์ฐจ๊ณ  ๋‚˜์™€ ์ˆœ๋‘๋ถ€์‹๋‹น์„ ์šด์˜ํ•˜๋ฉด์„œ ์‹ค๋ฆฌ์ฝ˜๋ฐธ๋ฆฌ ์ƒ์กด๋ฒ•์„ ๋ฐฐ์› ์ฃ .โ€ โœจ"LG ํˆฌ์ž ๋ฐ›์€ ํ•˜์ •์šฐ ๋ฒ ์–ด๋กœ๋ณดํ‹ฑ์Šค ๋Œ€ํ‘œ "AI ๋กœ๋ด‡ ์„ธ๊ณ„ 1๋“ฑ ๊ธฐ์—… ๋  ๊ฒƒ" โœจ "์ด์ œ ๋กœ๋ด‡ ์‹œ์žฅ๋„ ํ”Œ๋žซํผ ์‹œ๋Œ€โ€ฆ์„œ๋น™ยท๋ฌผ๋ฅ˜๋ถ„์•ผ ์—…๊ณ„ ํ‘œ์ค€ ๋  ๊ฒƒ" โœ”๏ธ์šฐ๋ฆฌ๋Š” ์ด๋ ‡๊ฒŒ ์ผํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๐ŸŽฌ๋กœ๋ด‡ ์Šคํƒ€ํŠธ์—… ์ง์›๋“ค์ด ๋งํ•˜๋Š” ํšŒ์‚ฌ์˜ ๋ชจ๋“  ๊ฒƒ (๐Ÿ‘ˆํด๋ฆญ) โœจWelcome to Bear Roboticsโœจ ์‹ ๊ทœ ์ž…์‚ฌ์ž ์›ฐ์ปดํ‚คํŠธ ์ง€๊ธ‰ ์•ˆ์ •์ ์ธ ์ •์ฐฉ์„ ์œ„ํ•œ ์˜จ๋ณด๋”ฉ ์„ธ์…˜ โœจWe have GOOD HABITSโœจ ์šฐ๋ฆฌ๋Š” ์ข‹์€ ์Šต๊ด€์€ ์ง€ํ‚ค๊ณ , ๋‚˜์œ ์Šต๊ด€์„ ์ค„์ด๊ธฐ ์œ„ํ•ด ๋…ธ๋ ฅํ•ฉ๋‹ˆ๋‹ค. ์–ด์ œ๋ณด๋‹ค ๋‚˜์€ ์šฐ๋ฆฌ๋ฅผ ์œ„ํ•ด! ์„œ๋กœ๋ฅผ ๋ฐฐ๋ คํ•ฉ๋‹ˆ๋‹ค. ์ƒ๋Œ€๋ฐฉ์˜ ์ž…์žฅ์—์„œ ์ƒ๊ฐํ•ฉ๋‹ˆ๋‹ค. ์ƒˆ๋กœ์šด ๊ฒƒ์„ ๋ฐฐ์›๋‹ˆ๋‹ค. โœจWe are having FUNโœจ ์šฐ๋ฆฌ๋Š” ํ–‰๋ณตํ•ด์ง€๊ธฐ ์œ„ํ•ด ์ผํ•ฉ๋‹ˆ๋‹ค. ๋ชจ๋‘๊ฐ€ ์žฌ๋ฏธ์žˆ๊ฒŒ ์ผํ•  ์ˆ˜ ์žˆ๋Š” ์—…๋ฌด ํ™˜๊ฒฝ์„ ๊ตฌ์„ฑํ•ฉ๋‹ˆ๋‹ค. 8์‹œ~11์‹œ ์ž์œจ ์ถœํ‡ด๊ทผ (8์‹œ๊ฐ„ ๊ทผ๋ฌด) ์‹์‚ฌ๋น„ ์ œ๊ณต ๊ฐ„์‹ ๋ฌด์ œํ•œ ์ œ๊ณต ๊ตฌ์„ฑ์›๋“ค๊ณผ ๊ต๋ฅ˜ํ•  ์ˆ˜ ์žˆ๋Š” ์‚ฌ๋‚ด ๋™ํ˜ธํšŒ ์šด์˜ โœจWe FOCUS on workโœจ ์šฐ๋ฆฌ๋Š” ํšจ์œจ์ ์ด๊ณ  ํšจ๊ณผ์ ์œผ๋กœ ์ผํ•ฉ๋‹ˆ๋‹ค. ๊ณ ์‚ฌ์–‘ ๋žฉํƒ‘, 4K ๋ชจ๋‹ˆํ„ฐ ๋ฐ ์ฃผ๋ณ€๊ธฐ๊ธฐ ์ง€์› RSU, ์ธ์„ผํ‹ฐ๋ธŒ ์ œ๋„ ์šด์˜ ์˜์–ด๊ต์œก ์ง€์›, ์ข…ํ•ฉ๊ฑด๊ฐ•๊ฒ€์ง„, ๊ฒฝ์กฐ์‚ฌ๋น„/๊ฒฝ์กฐํœด๊ฐ€, ์ถœ์‚ฐํœด๊ฐ€, ์œก์•„ํœด์ง, ์ง์› ๋‹จ์ฒด ์ƒํ•ด๋ณดํ—˜ ๋“ฑ ์ง€์›