[About STRADVISION] 

We Empower Everything To Perceive Intelligently 

With a mission statement of “We Empower Everything To Perceive Intelligently”, STRADVISION is putting all of our effort to make better life for everyone through AI-based camera perception technology. Everyday, we focus on creating AI-based vision perception techonolgy with more than 300 members across 8 offices worldwide and we expect our software to perceive everything precisely & intelligently to make 1% difference in people’s lives. Thus, we are looking for members who would like to join our meaningful journey and face challenges that no one has done it before together at STRADVISION.     

[Our Story] 

• STRADVISION Seoul Office Intro Video: 스트라드비젼 서울 강남 오피스를 소개합니다!   
• STRADVISION Re-branding PR Video: 스트라드비젼 리브랜딩 PR 홍보영상 

[Our Technology] 

• STRADVISION is the FIRST deep-learning based technology start-up company in the world who has obtained ASPICE CL2 certification in 2019.
• STRADVISION has also been honored with the AutoSens Awards for ‘Best-in-Class Software for Perception Systems’(Gold Award Winner) for 2 years in a row(2021, 2022).   
• STRADVISION’s outstanding technology was recognized worldwide by successfully completing the Series C funding at KRW 107.6 billion with Aptiv and ZF Group in August, 2022.
• About 167 patents related to autonomous driving/ADAS have been acquired in Korea, Japan, US and Europe. As of today, STRADVISION is actively developing our technology to be differentiated. 
• STRADVISION Product: https://stradvision.com/sv/en/product 

[Mission of the Role] 

• As a deep learning algorithm engineer in Driving Team @Product Development Team(Driving Product Team), you will have the opportunity to design and develop deep learning algorithms for STRADVISION’s Driving Product, i.e. camera-based perception software for front facing camera (FFC) and multi camera, spanning from General Safety Regulation (GSR)-compliant FFC, EURONCAP-compliant FFC, L2+/L3 FFC, L3/L4 multi-camera system. Perception features include object detection, VRU detection, semantic segmentation, lane detection, traffic sign/light recognition, to name a few. To achieve a challenging target, only your imagination is the limit. You have the liberty to choose whatever algorithm you can select to achieve the target, including but not limited to machine-learning, 3D vision, discrete/continuous optimization, and so on. 
• Ability and willingness to flawlessly execute product development in terms of quality and delivery (QD) is required for deep learning engineers. 
• The driving product team consist of deep learning part, post-processing part, platform engineering part and evaluation part. The deep learning part will closely work with the other parts in Driving production team.    

[Key Responsibilities]    

• To design, develop, and evaluate deep learning algorithms for driving applications for ADAS and AD (autonomous driving)       
• The fields of applications and algorithms are 
• Vehicle, VRU detection
• Traffic sign recognition
• Traffic light recognition 
• Light source detection at night (ex. Head/tail lamps of vehicles, streetlights, traffic lights) 
• Light status recognition (ex. Brake on/off, indicator status, emergency lamp status) 
• Recognizing the degradation of image quality due to weather, stain, blockage, and so on.
• Lane detection 
• Free space, road boundary detection 
• Lane type and shape recognition 
• Detecting arbitrary objects on the road 

[Basic Qualifications]     

• Excellent C/C++ programming skills 
• Good understanding of software engineering 
• Understanding of the latest DL research technology 
• Experience in Caffe(or pytorch)-based DL research

[Preferred Qualifications]

• Experience in ADAS, autonomous driving 
• Experience in CUDA-based GPU programing 
• Experience in DL development on embedded devices 
• M.S. degree in Engineering or a related field 

[Application] 

• Required: Resume 
• Optional: Cover Letter/Project details/ Other theses   

[Recruitment Process]  

• Application Review – SC Test - Recruiter Phone Screening - Interview(s) – Reference Check(above 5yrs) – Offer – Onboarding

(Please be aware of that the recruitment processes & schedules may be changed depending on the job and/or other circumstances. For example, onsite Interview may be replaced by video interviews due to COVID-19.) 

[Others]  

• Any job post may be closed earlier at any time, if position is filled.
• In case, there is any false information shared before/during/after the entire recruitment process, we can stop our recruitment process and also withdraw our offer/hiring confirmation.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. 

STRADVISION stands for an open and respectful corporate culture because we believe the diversity helps us to find new perspectives.

STRADVISION ensures that all our members have equal opportunities –regardless of age, ethnic origin and nationality, gender and gender identity, physical and mental abilities, religion and belief, sexual orientation, and social background. We always ensure diversity right from the recruitment stage and therefore make hiring decisions based on candidate’s actual competencies, qualifications, and business needs at the point of the time.

Please feel free to contact us via our talent acquisition team e-mail if you have any questions.

[STRADVISION HR Team e-mail: [email protected]]