Teams at Marvel Fusion

Develop and maintain scientific Python software for fusion research, validate numerical accuracy, profile and optimize CPU/GPU workloads, and deploy reproducible workloads on NVIDIA infrastructure or AWS. Support shared computing through access controls, scheduling, monitoring, storage, APIs, testing, continuous integration, packaging, and documentation while collaborating with scientists and IT.

Drive company-wide AI adoption by deploying LLM chat and automation tools, partnering with leadership to prioritize use cases, delivering workshops and coaching, tracking adoption metrics, and identifying opportunities to improve workflows. The role requires hands-on experience implementing AI in organizations, strong business judgment, practical automation skills, and the ability to translate team needs into effective AI solutions.

Supports Corporate Development across end-to-end projects, process improvements, organizational initiatives, and cross-functional priorities. Responsibilities may include financial modeling, investor materials, due diligence, operations, and process optimization. The intern will own visible projects, improve company efficiency, and provide flexible support across departments. Candidates should demonstrate analytical ability, initiative, project ownership, daily LLM usage, and strong English proficiency, with startup, venture capital, consulting, investment banking, strategy, financial modeling, deep-tech, energy, or German-language experience preferred.