Software Engineer (New Graduate, 2027)
Posted Updated
- Our software engineers work across our suite of products, tackling a variety of full-stack, infrastructure, robotics, and graphics challenges
- At Applied Intuition, we encourage engineers to take ownership over technical and product decisions, interact closely with users to collect feedback, and contribute to a thoughtful, dynamic team culture
- Work across our entire stack to develop new products, features, and tools for our customers’ autonomy development workflows
- Have an unparalleled opportunity to work with domain experts across a variety of fields: infrastructure, robotics, and graphics engineers, as well as startup veterans
- Carve out your own area of expertise and influence product decisions
- Collaborate with other members in the autonomy ecosystem and learn about different approaches to solving core issues in autonomy
- Proven ability as a self-starter and can quickly become comfortable with new technical tools
- 1+ year of experience in any field, or equivalent combination of education and experience
- Experience taking initiative in a fast-paced environment
- Designed efficient and effective solutions to a wide range of engineering challenges
- BS/MS degree (completed or in progress) in Computer Science, Computer Engineering, Electrical Engineering, or a related field, graduating December 2026 or by Summer 2027
- 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
- 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)
- We are looking for bright engineers interested in designing elegant solutions to difficult problems in the autonomy space