About Applied Intuition
Applied Intuition is a vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide. Founded in 2017, Applied Intuition provides a simulation and validation platform for various industries such as automotive, trucking, construction, and more. 17 of the top 20 global automakers rely on Applied Intuition’s solutions to shorten development cycles, deliver high-quality systems, and accelerate the production of modern vehicles with confidence. Applied Intuition is headquartered in Mountain View, CA, with offices in Ann Arbor, MI, Washington, DC, Munich, Stockholm, Seoul, and Tokyo. Learn more at The Role
On- and off-road autonomous system development relies heavily on daily, realistic, and large scale simulations to test constant software changes. Join our team to ensure we're building efficient, reliable, and secure systems for managing these large-scale workloads on government networks.
You will be tasked with improving the development, deployment, and maintenance of our large-scale simulation infrastructure on government networks (e.g. Arcus, SUNet, Platform One). The compute and data generation scale of our product workloads pushes the boundaries of standard cluster deployments. You will be at the forefront of helping build out and ensure reliability of this system, and all while ensuring the deployment infrastructure is interoperable with various custom autonomy software and infrastructure.
You will work closely across the engineering, product, and government organizations to ensure the operational success of our backend at a variety of customer deployments. At Applied Intuition, we encourage all engineers to take ownership over technical and product decisions, interact closely with users to collect feedback, and contribute to a thoughtful, dynamic team culture.
At Applied Intuition, you will:
- Create and implement best practices for deploying and maintaining software on government networks for multiple customers with minimal downtime and high reliability
- Monitor Applied’s software on deployed machines and architect solutions to any bottlenecks that are encountered
- Improve developer efficiency by building internal tooling and optimizing our CI/CD systems
- 5+ years of experience in a software engineering role working on government networks, cloud infrastructure, monitoring, or a large scale software product
- 5+ years of coding experience from shell scripting (e.g. Bash) to higher-level languages (e.g. Python)
- Experience with microservice orchestration frameworks (e.g. Kubernetes)
- Experience working with containerized systems (e.g. Docker)
- Experience utilizing open source tooling
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. #J-18808-Ljbffr
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