Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the ADAS/AD toolchain, Vehicle OS, and autonomy stack to help customers build intelligent systems, create next-generation experiences, and shorten time to market. 18 of the top 20 global automakers trust Applied Intuition’s solutions to drive the production of modern vehicles. Applied Intuition serves the automotive, trucking, construction, mining, agriculture, and defense industries and is headquartered in Mountain View, CA, with offices in San Diego, CA, Ft. Walton Beach, FL, Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com.
We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings, fully remote work will be considered by exception.)
Applied Intuition entered the Korean market in 2020. The team has rapidly grown over the past few years and established strategic relationships with major Korean automotive OEM customers. Based in Gangnam, the Seoul site consists of more than 10 employees who previously come from LG, Ansys, Unity, and other renowned companies.
About the roleWe are seeking a highly skilled Senior Software Engineer to join our fast-paced, customer-oriented team at our Korea office. This on-site role focuses on developing the autonomy stack for unmanned aerial vehicles. You will design, build, and optimize software solutions for cutting-edge autonomous systems, lead and mentor junior engineers, collaborate daily with our USA team, and engage with customers in the autonomy and defense domains through meetings and presentations to deliver high-quality, reliable, and scalable products in a dynamic environment.
At Applied Intuition, you will:- Design, develop, and maintain software for the autonomy stack of unmanned aerial vehicles, ensuring robust and efficient performance
- Collaborate daily with the USA team and cross-functional teams to deliver software solutions that meet customer needs and project deadlines in a fast-paced environment
- Integrate software with hardware components, ensuring seamless operation in real-world robotic systems
- Apply AI/ML techniques to enhance autonomous decision-making, perception, and navigation capabilities
- Contribute to system-level design and architecture, ensuring scalability, reliability, and performance
- Mentor and lead junior engineers, fostering their technical growth and ensuring team success
- Participate in code reviews, testing, and continuous integration to maintain high-quality deliverables
- Stay updated on advancements in AI/ML, computer vision, and reinforcement learning to drive innovation
- Work with hardware/sensor system models to ensure accurate software integration and performance
- Engage with customers in the autonomy and defense domains through meetings and presentations to communicate technical solutions and project progress
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- 5+ years of professional software engineering experience in a fast-paced, customer-oriented environment
- Proven track record of delivering software solutions within agile, high-frequency release cycles
- Strong expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch) and their application in autonomous systems
- Solid system engineering understanding, with experience in software development for hardware-integrated systems (e.g., robotics, embedded systems)
- Proficiency in programming languages such as Python, C++, or similar
- Experience working on complex, multidisciplinary projects in a collaborative team setting
- Strong problem-solving skills and ability to thrive in a dynamic, fast-paced environment
- Excellent English communication skills, both written and verbal, for effective daily collaboration with the USA team and documentation
- Strong meeting and presentation skills, with experience communicating technical concepts to customers in the autonomy and defense domains
- Familiarity with hardware/sensor system modeling for autonomous systems
- Expertise in computer vision (CV) techniques and tools (e.g., OpenCV, image processing, object detection)
- Knowledge of reinforcement learning (RL) and its applications in autonomous systems
- Experience in the aerial domain or unmanned vehicle autonomy stack development
- Familiarity with real-time operating systems (RTOS) or embedded software development
- Contributions to open-source projects or publications in AI/ML, CV, or robotics
Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.
