Applied Intuition
Software solutions to safely develop, test, and deploy autonomous systems at scale
201 - 500
Software Engineer - PhD University Graduate
March 19
🏢 In-office - Bay Area
Applied Intuition
Software solutions to safely develop, test, and deploy autonomous systems at scale
201 - 500
Description
We are looking for bright engineers interested in designing elegant solutions to difficult problems in the autonomy space. 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, closely interact with users to collect feedback, and contribute to a thoughtful, dynamic team culture.
Requirements
• PhD degree in Computer Science, Mechanical Engineering, or related field • Software development experience • Experience designing solutions to engineering challenges • Nice to have knowledge of frontend, API layer, database ORM, containerization, or cluster orchestration frameworks (React, GraphQL, SQLAlchemy, Docker, Kubernetes) • Nice to have working with simulation tools, modeling physical problems, or using robotics middleware (ROS) • Nice to have expertise in methods and tools for engineering design, verification and validation or similar area
Benefits
• Work across entire stack • Develop new products, features, and tools for autonomy development workflows • Work with domain experts • Influence product decisions • Collaborate with autonomy ecosystem
Apply Now
