Applied Intuition, a leading vehicle intelligence company founded in 2017, is seeking a Cloud Platform Software Engineer to join their team in Mountain View, CA. The company is at the forefront of accelerating the adoption of safe, AI-driven machines, serving 18 of the top 20 global automakers.
The role focuses on developing and enhancing the cloud infrastructure that powers Applied Intuition's simulation and drive data analysis platforms. As a Software Engineer on the Infrastructure team, you'll be responsible for designing and implementing improvements to ensure the platform's reliability, scalability, and security. You'll work directly with client engineers to understand their toolchain needs and create flexible, user-friendly abstractions.
This position offers an opportunity to work on cutting-edge technology in the autonomous vehicle space, with responsibilities ranging from system design to customer collaboration. The ideal candidate should have a Bachelor's degree in Computer Science or related field, and at least one year of experience in software engineering within the autonomous vehicle industry.
The company maintains a strong in-office culture, with employees expected to work from the Mountain View office 5 days a week, though some flexibility is offered for occasional remote work or schedule adjustments. This approach enables close collaboration and innovation while maintaining work-life balance.
Applied Intuition offers competitive compensation, with a salary range of $146,307 - $190,000 annually. The company has a strong presence in the automotive and AI sectors, with offices across the United States and international locations including Stuttgart, Munich, Stockholm, Seoul, and Tokyo.
This role presents an excellent opportunity for engineers passionate about infrastructure, autonomous vehicles, and creating scalable solutions that impact the future of transportation. You'll be part of a team that values high-quality code, thorough testing, and customer-focused development while working on technology that's shaping the future of autonomous systems.