Applied Intuition is a vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide. Founded in 2017, Applied Intuition delivers the AI-powered ADAS/AD toolchain, vehicle platform, and autonomy stack to help customers shorten time to market, build high-quality systems, and create next-generation consumer experiences. 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 Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com.
Please note that we are an in-office company, which means the expectation is that you would come in to your Applied Intuition office 5 days a week.
Meet our software engineers!
Meet some of our software engineers who are shaping the future of autonomy and delivering world-class solutions helping customers shorten time to market. Hear about what brought them to Applied Intuition, what’s kept them interested, and their advice to potential candidates.
About the role
(We are hiring for all levels of experience.)
We are looking for software engineers excited to work on challenging autonomous driving problems with top ADAS/AV programs. Our software engineers work across our suite of products, tackling difficult full-stack, infrastructure, robotics, and graphics problems. 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. In this role, the engineer will be working with customers regularly (including on-site) and developing additional features/capabilities as required in the platform.
At Applied Intuition, you will:
- Work across our entire stack to extend and adapt our product suite for customer use cases.
- Develop new products, features, and tools for our customers' autonomy development workflows
- Contribute in a fast-paced environment and see the impact of your work through the customer’s use of our tools
- Work with domain experts across a variety of fields: infrastructure, automotive, 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
We’re looking for someone who:
- Can demonstrate excellent software engineering skills
- Has experience 3+ years of experience in shipping complex, production software
- Is a self-starter and can quickly become comfortable with new technical tools
- Interested in working closely with customers and iterating fast on solutions
- Designs efficient and effective solutions to a wide range of engineering challenges
- Takes initiative in a fast-paced environment
Nice to have:
- Experience writing C++, JavaScript, Python, or Golang
- Working knowledge of frontend, API layer, containerization, or cluster orchestration frameworks (such as React, GraphQL, Docker, or Kubernetes)
- Experience working with simulation tools, modeling physical problems, or using robotics middlewares (such as ROS)
- Prior experience in customer interaction as a customer engineer, application engineer, or sales engineer
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.
Applicants will be required to be fully vaccinated against COVID-19 upon commencing employment. Reasonable accommodations will be considered on a case-by-case basis for exemptions to this requirement in accordance with applicable federal and state law. Applicants should be aware that for external-facing roles that involve close contact with Company employees or other third parties on the Company's premises, accommodations that involve remaining unvaccinated against COVID-19 may not be deemed reasonable. The Company will engage in the interactive process on an individualized basis taking into account the particular position.
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.
Top Skills
What We Do
As the foremost enabler of autonomous vehicle development, Applied Intuition equips engineering and product teams with software that makes it faster, safer, and easier to bring autonomy to market.
Applied’s suite of products, focused on simulation and analytics, delivers sophisticated infrastructure built for scale. Companies of all sizes use Applied to comprehensively test and rapidly accelerate their autonomous vehicle development.
Headquartered in Silicon Valley with offices in Detroit, Tokyo, and Munich, Applied is composed of software and automotive experts from the top companies in the world (such as Google, Amazon, Apple, Waymo, Tesla, Delphi, GM, and Bosch).
