Corvid Hpc

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.