Join Applied Intuition as a Senior Software Engineer to enhance cloud infrastructure for large-scale simulations in autonomous systems.
Posted by employer 2 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
Skills & Technologies
Requirements
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
In this role, the software engineer focuses on enhancing the cloud infrastructure that supports large-scale simulations for autonomous systems. Key skills include proficiency in cloud platforms like AWS, GCP, and Azure, along with experience in coding languages such as Python and C++. This position is ideal for seasoned engineers with over five years of experience in infrastructure and software development, particularly those who thrive in collaborative environments and are eager to take ownership of technical decisions.
Joblaze insights
Quick facts
From the original posting
Modern autonomous system development is heavily reliant on daily, realistic, and large scale simulations to test constant software changes. Join our cloud platform team to ensure we're building efficient and reliable systems for managing these large-scale workloads.
As a cloud infrastructure engineer you'll 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, and you'll be at the forefront of helping build out and ensure reliability of this system. All 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. 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.
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
A Bachelor's degree in Computer Science, Software Engineering, or equivalent
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, C++)
Experience with microservice orchestration frameworks such as Kubernetes
Experience in the following: Golang, Python, Java, React, and C++
Experience working with containerized systems (e.g., Docker)
Experience utilizing open source tooling
Experience with deploying software on either public clouds (e.g., AWS) or on-premise clusters
Standard company text repeated across Applied Intuition's postings is omitted here.
Explore more