As an ML Ops Engineer, you'll build and maintain MLOps infrastructure, design automated training pipelines, deploy ML models, and collaborate with teams to optimize GCP resources for Physics AI applications.

This role involves designing and developing scalable backend systems, mentoring a team, and ensuring high performance and security in software delivery. Expertise in cloud infrastructure and SaaS systems is required.

The role involves leading Physics AI integrations for customers, providing technical guidance, and collaborating with teams to shape future product innovations. Travel to customer sites is expected.

Luminary Cloud is seeking candidates for their Spring 2026 Startup Career Fair, focusing on engineering roles with Physics AI to improve product development.

Perform outbound prospecting (calls, emails, social), qualify leads, schedule discovery meetings for Account Executives, craft messaging for technical buyers, collaborate with marketing, and maintain activity records.

The VP of People will design organizational structures, lead people operations, enhance performance, and manage employee relations as Luminary Cloud scales.

The IT Operations Specialist provides end-user support and manages corporate systems, focusing on security, user access, and troubleshooting across varied environments.

As a Senior Business Development Representative, you'll generate outbound sales opportunities, set meetings, and collaborate with sales teams to refine strategies in a dynamic environment.

Design, implement, and maintain scalable backend systems and APIs; build cloud infrastructure (preferably GCP) using Terraform; operate containerized workloads with Kubernetes; ensure reliability, security, and performance; participate in on-call rotations, architecture discussions, and cross-functional delivery.

The LLM Engineer will develop AI systems, optimize RAG pipelines, manage memory/context, fine-tune LLMs, and integrate with physics platforms.

As a Solutions Engineer, you will work with customers to adopt Physics AI, lead technical evaluations, and demonstrate platform capabilities while designing solutions for CAE workflows.

As a Forward Deployed Engineering Intern, contribute to Physics AI projects, support data generation, model training, and collaborate across teams.

Define and execute the product roadmap for a Physics AI platform, ensuring deep technical ownership and customer-centric execution while maintaining enterprise integration and market leadership strategies.