Aerovy is the operating layer for hardware OEMs. We take the signals coming off equipment in mobility, industrial, material handling, and construction, and normalize them into one model for assets, components, health, and events that holds across brands and model years.
With Aerovy, OEMs:
Launch an AI ecosystem for their hardware: branded apps a manufacturer puts in front of its own customers, from the app that comes with the machine to connected services and subscription tiers
Elevate aftermarket service: the machine reports a fault, it's diagnosed, the right technician is dispatched with the right part, and the job is closed out and reported. First-time fix rates go up; time to acknowledgement and time to response come down
Cut warranty cost and service spend: predictive failure detection, automated triage, and AI-driven root-cause across their install base
We're a fast-paced startup building the digital infrastructure for the next generation of intelligent hardware. Founded in 2023 as a spinoff of research from Purdue University, we've grown from 5 full-time workers at the end of 2025 to 13 today, with ARR up 4x+ over the same period. We're backed by institutional VCs from Mudita Venture Partners, M25, Quorum Capital Partners, Knoll Ventures, and Purdue Ventures, and angels from Google, Tesla, Intel, Siemens +more.
Job Summary
As a Software Engineer at Aerovy, you’ll help architect and deliver core components of our cloud platform, serving real-time applications across energy, IoT, telematics, and AI.
You'll work on a modular extensible system that powers everything from EV fleets and battery platforms to industrial equipment and robotics. This is a hands-on, full-stack opportunity where you'll own features end-to-end, from concept to launch, and work closely with a nimble, high-caliber team.
If you're excited about building high performance production systems, solving hard problems at scale, and shipping real value in a fast-moving environment, we’d love to talk.
Responsibilities
You will be expected to function independently and proactively with support from your team.
You will be routinely given requirements and be accountable to drive delivery end-to-end.
Collaborate with cross-functional teams to deliver business-critical features and services.
Own the reliability, scalability, maintainability, and performance of critical production systems.
Job Requirements:
At least 2 years experience contributing to a software engineering team.
BS/MS/PhD in CS, scientific, engineering field or equivalent experience.
Passion for finding and solving hard problems.
Passion for learning and growing both technically and non-technically.
Excellent problem-solving skills and a passion for technology innovation.
Solid experience in Cloud/IaaC Infrastructure and Tooling preferably AWS (EC2, Lambda, S3, RDS, AWS Batch, DynamoDB, CloudFormation/CDK, etc.)
Solid experience in Docker/containerized applications
Solid experience with near real-time/real-time analytics, time series databases
Proficiency in C#
This is a hybrid role based in Seattle, offering flexibility while ensuring close collaboration with product, engineering, and business stakeholders.