Autonomous System Development Engineer
1 day ago
About Applied Intuition
Applied Intuition is a leading provider of vehicle software solutions that accelerate the adoption of safe and intelligent machines worldwide. Founded in 2017, we deliver AI-powered ADAS/AD toolchains, vehicle platforms, and autonomy stacks to help customers shorten time to market, build high-quality systems, and create next-generation consumer experiences. Our solutions are trusted by 18 of the top 20 global automakers across various industries, including automotive, trucking, construction, mining, agriculture, and defense.
We are headquartered in Mountain View, CA, with offices in Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more about us at appliedintuition.com.
About the RoleModern autonomous system development relies heavily on daily, realistic, and large-scale simulations to test constant software changes. As a production engineer, you will be improving the development and deployment of our large-scale simulation infrastructure.
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 while ensuring the deployment infrastructure is interoperable with various custom autonomy software and infrastructure used across the world.
You will work closely across the entirety of the engineering team to ensure the operational success of our backend and a variety of customer deployments. 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.
Key Responsibilities- Create and implement best practices for deploying and maintaining software for multiple customers across all three major cloud providers (AWS, GCP, Azure) with minimal downtime and high reliability
- Monitor Applied Intuition 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 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 such as Kubernetes
- Experience working with containerized systems (e.g., Docker)
$140,000 - $160,000 per year
BenefitsWe offer a competitive salary range of $140,000 - $160,000 per year, depending on experience. Additionally, we provide a comprehensive benefits package, including health insurance, retirement plan, and paid time off.
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