Senior VSLAM Engineer (Seoul)

[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 technology 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.

[Mission of the Role]

• We are seeking a highly experienced Senior VSLAM Engineer with a strong background in the automotive industry. The ideal candidate will have more than 8 years of experience and deep expertise in VSLAM, functional safety (ISO 26262), and ASPICE. This role will be responsible for developing and optimizing visual simultaneous localization and mapping (VSLAM) solutions for automotive applications, ensuring compliance with industry standards, and collaborating with cross-functional teams to integrate cutting-edge localization technologies into autonomous and ADAS systems.

[Key Responsibilities]

• Develop, implement, and optimize VSLAM algorithms for real-time vehicle localization and mapping.
• Ensure ASPICE compliance in the development of perception and localization software.
• Work on functional safety (ISO 26262) requirements and contribute to safety-critical system design.
• Integrate sensor fusion techniques, including camera, LiDAR, IMU, and GPS, to enhance localization accuracy.
• Optimize SLAM performance for real-time and embedded systems with a focus on computational efficiency.
• Work closely with software, perception, and hardware teams to ensure seamless VSLAM integration.
• Conduct validation and testing of VSLAM algorithms in simulated and real-world environments.
• Stay updated on the latest advancements in VSLAM, machine learning, and AI-based perception technologies.

[Basic Qualifications]

• 8+ years of experience in computer vision, SLAM, or localization, preferably in the automotive industry.
• Strong expertise in VSLAM algorithms such as feature-based and direct SLAM methods.
• Experience with functional safety (ISO 26262) and ASPICE processes.
• Proficiency in C++ and Python for algorithm development and optimization.
• Hands-on experience with OpenCV, Ceres-Solver, GTSAM, G2O or related frameworks.
• Knowledge of sensor fusion techniques and experience working with automotive sensors (camera, LiDAR, IMU, GPS).
• Experience in real-time embedded systems and hardware acceleration (DSP, NEON, ARM) is a plus.
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.

[Preferred Qualifications]

• PhD or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field.
• Experience in deep learning-based localization and perception.
• Knowledge of AUTOSAR and embedded software development.
• Experience with CNN-based deep learning for computer vision and perception tasks.
• Previous work on autonomous driving or ADAS projects.

[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

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: recruiting@stradvision.com]