Applied
Forward Deployed Engineer - New Grad (2027)
Seoul. Posted a month ago
The role
You will work in small teams to own end-to-end execution of high-impact projects. You will act as a technical bridge between technology and customers' real-world operational environments by deploying and integrating products.
What you will do
- Work directly with customers to deploy and integrate products and tools into real-world environments
- Develop new products, features, and tools for autonomy development workflows across the entire stack
- Tackle software engineering, infrastructure, robotics, and systems challenges
- Collaborate with customers, engineers, and product teams to deliver solutions
- Take ownership over technical and product decisions and drive projects from development through deployment
Required qualifications
- BS/MS degree (completed or in progress) in Computer Science, Computer Engineering, Electrical Engineering, or a related field, graduating March 2027
- Proven ability as a self-starter
- Ability to quickly become comfortable with new technical tools
- Designed efficient and effective solutions to a wide range of engineering challenges
- Strong programming skills, with proficiency in languages such as C++ or Python
- Experience taking initiative in a fast-paced environment
- Strong communication skills
- Interest in working directly with customers to solve technical problems
- ~2 years of experience in any field, or equivalent combination of education and experience
Nice to have
- Working knowledge of frontend, API layer, database ORM, containerization, or cluster orchestration frameworks (such as React, GraphQL, SQLAlchemy, Docker, or Kubernetes)
- Experience working with simulation tools, modeling physical problems, or using robotics middleware (such as ROS)
- Experience working with complex software systems, infrastructure, robotics, or hardware
- Experience in defense, automotive, robotics, or adjacent industries
About the company
Applied Intuition, Inc. is a Silicon Valley company creating digital infrastructure for physical AI. It services the automotive, defense, trucking, construction, mining and agriculture industries.