About the Role
Corvid HPC is expanding. As we build out our new AI capability, we are looking for a high-energy, technically curious
AI Applications Engineer
to join our team in Mooresville, NC. This is a unique, entry-level opportunity to sit at the intersection of High-Performance Computing (HPC) and cutting-edge AI workflows.
You won't just be sitting behind a screen; this is a
highly collaborative, customer-facing role
. You will be the bridge between complex AI models and real-world engineering solutions, working alongside our Aerodynamics, CAE (Computer-Aided Engineering), and Sales teams to deliver high-impact results.
What You'll Do
-
Collaborate In-Person:
Work daily with our Linux Admins and HPC experts to optimize AI workloads on our hardware.
-
Customer Engagement:
Directly interface with clients to translate their high-level business needs into deep technical requirements.
-
Integrate AI & CAE:
Develop and maintain integrations between Machine Learning models and industry-standard CAE tools.
-
Full-Stack Thinking:
Assist in building web applications and interfaces that make AI tools accessible and functional for our engineering teams.
-
Problem Solve:
Move seamlessly from "high-level" strategy discussions to "deep-in-the-weeds" debugging of ML pipelines.
Requirements
-
Education:
Bachelor's degree in
Computer Science
or
Computer Engineering
.
-
AI Exposure:
While professional experience isn't required, you
must
demonstrate hands-on experience with AI workflows through internships, academic research, or a robust personal portfolio.
-
Communication:
Exceptional verbal and written skills. You must be comfortable presenting technical concepts to both experts and non-technical stakeholders.
-
Residency:
Must be a
U.S. Person
(due to compliance and project requirements).
-
Presence:
This is a 100% in-office role at our
Mooresville, NC
headquarters to foster rapid collaboration and innovation.
Bonus Points For:
-
A strong interest or background in
Data Science
(statistical modeling, data cleaning, visualization).
-
Experience with
Machine Learning
frameworks (PyTorch, TensorFlow, etc.).
-
Familiarity with
Web Application development
(APIs, UI/UX for tools).
-
Knowledge of or interest in
Computational Fluid Dynamics (CFD)
or general engineering simulation.
Why Corvid HPC?
This isn't your typical entry-level "cog in the machine" job. You will have a seat at the table as we define our AI roadmap. You'll be mentored by senior engineers in a fast-paced environment where your work directly impacts the aerodynamic performance and engineering efficiency of our partners.