Fermi AI, Inc. logo

Curriculum Developer

Job Overview

Location

Bangalore, India

Job Type

Full-time

Category

Software Engineering

Date Posted

May 25, 2026

Full Job Description

đź“‹ Description

  • • Develop deeply engaging Tutorials, Problem Statements, and Problem Solutions for each physics lecture series to translate high-level lecturer vision into clear, student-ready materials.
  • • Design fully interactive and technically accurate virtual labs in close collaboration with the Simulation Team to enhance conceptual understanding through hands-on digital experiences.
  • • Compile, polish, and finalize lecture notes from drafts and transcripts, ensuring mathematical equations, diagrams, and visual elements are precise, consistent, and pedagogically effective.
  • • Own the end-to-end content pipeline—from initial drafting to final formatting—incorporating feedback from the Physics Team and Engineering Team to refine course artifacts.
  • • Coordinate directly with the Physics Team to validate scientific accuracy and with the Engineering Team to ensure all content assets are optimized for integration with the AI tutor system.
  • • Brainstorm, draft, revise, and iterate on course materials through multiple rounds of feedback to maximize clarity, engagement, and learning outcomes.
  • • Apply research-backed teaching methods to identify common student misconceptions and design targeted interventions that address specific points of confusion.
  • • Leverage AI tools to enhance content creation efficiency, improve instructional design, and make learning more interactive and enjoyable for students.
  • • Ensure all educational materials align with undergraduate and graduate-level physics curricula, maintaining rigor while improving accessibility and comprehension.
  • • Translate complex physical concepts into intuitive, step-by-step explanations that guide students from initial exposure to mastery through structured problem-solving.
  • • Maintain consistency in notation, terminology, and pedagogical approach across all course components, including tutorials, problem sets, solutions, and virtual lab instructions.
  • • Contribute to the continuous improvement of the curriculum by analyzing student performance data and feedback to inform iterative updates to content.
  • • Participate in cross-functional meetings to align curriculum goals with technological capabilities and pedagogical objectives across teams.
  • • Stay current with advancements in physics education and AI-assisted learning to continuously elevate the quality and innovation of course materials.
  • • Produce high-fidelity, publication-ready educational content that serves as the foundation for an AI-driven tutoring platform.

🎯 Requirements

  • • MSc in Physics (PhD highly preferred)
  • • Minimum 3 years of teaching or tutoring experience with undergraduate and graduate physics students
  • • Proven ability to design engaging problem-based learning materials, including tutorials, problem statements, and solutions

🏖️ Benefits

  • • Opportunity to work at the intersection of physics education and cutting-edge AI technology
  • • Collaborative environment with world-class physicists and software engineers
  • • Autonomy to shape the learning experience for a next-generation AI tutor
  • • Use of AI tools to enhance creativity and efficiency in curriculum development

Skills & Technologies

Onsite
Degree Required

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Fermi AI, Inc. logo
Fermi AI, Inc.
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About Fermi AI, Inc.

Fermi AI is a company focused on developing advanced artificial intelligence solutions. They specialize in creating AI models and platforms designed to accelerate scientific discovery and innovation across various fields. Their technology aims to empower researchers and developers by providing powerful tools for data analysis, simulation, and prediction. Fermi AI's mission is to leverage the transformative potential of AI to tackle complex challenges and drive progress in areas such as materials science, drug discovery, and climate modeling. The company is committed to building robust, scalable, and interpretable AI systems that can unlock new insights and accelerate the pace of scientific breakthroughs.

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