Software Engineer / DevOps

About Applied Intuition

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017 and now valued at $15 billion following its recent Series F funding round, Applied Intuition delivers the Vehicle OS, Self-Driving System, and toolchain to help customers build intelligent vehicles and shorten time to market. 18 of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo. Learn more at applied.co.

We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings, fully remote work will be considered by exception.)

About the role:

We are looking for a software engineer with a passion for improving developer experience and deployment processes. In this role, you will work across engineering teams to identify key sources of friction, improve workflows, develop new tools, and generally uplevel the velocity and reliability of the entire software, and automotive development and deployment lifecycle.

At Applied Intuition, you will:

• Design, build, and improve the tools, libraries, and frameworks for our engineering team

• Build and test scalable tools for deploying to various automotive and cloud platforms

• Optimize our compile/build times using tools like Bazel, CMake, Docker

• Improve software deployment and data collection frameworks

• Identify and solve bottlenecks within our software stack

We're looking for someone who has:

• 5+ years of relevant experience

• Some experience using Python, Go, Java, or Kotlin

• Experience with CI, build, and deployment technologies like Bazel, Buildkite, Docker, Kubernetes, and Jenkins, and comfortability with scripting for automation

• Experience with Linux and/or ARM systems

• Experience working with configuration management tools like Ansible and Terraform

Nice to have:

• Experience using C and C++

• Experience working in automotive or related industries

• Experience with deploying software on either public clouds (e.g., AWS) or on-premise clusters

Benefits and perks:

• Lunch and dinner allowance

• Fitness (600 USD) and learning stipends (1,000 USD) annually

• Stock options

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.

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.