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Lead Mathematics Curriculum Developer Sonipat (India)

Newton School of Technology
Full Timelead
Sonipat, Haryana, INPosted 21 days ago

Job Description

Senior Mathematics Faculty (Course Owner)Newton School of Technology — in partnership with Rishihood University, Ajeenkya DY Patil University & St.Mary's Uviversity.Locations: Sonipat, Pune and Hyderabad (Hiring across campuses)Type: Full time, on-campusWho this is for: Experienced educators who want to own a course as a system, and senior industry practitioners with deep applied math expertise who are ready to build something in academiaRole Overview:This is not a conventional teaching role.We are not looking for someone who can “cover syllabus” or “deliver lectures.” We are looking for someone who can own a course as a system.At Newton School of Technology, mathematics is not a support subject. It is the intellectual backbone of Computer Science, AI/ML, and problem solving. As a Senior Faculty member, your role is to ensure that students don’t just learn mathematics — they learn how to think with it.We’re building a faculty cohort that includes both experienced educators and senior practitioners from industry. Some of our colleagues are ex-ISRO scientists, PhDs, and senior researchers — people who have done reliable applied work and now want to shape how the next generation learns.What You Will Own:You will own one or more core mathematics courses (M1/M2/M3/M4) and be responsible for the following:

The conceptual clarity of students

The coherence between lectures, labs, assignments, and exams

The quality and growth of junior instructors

The alignment of the course across both campusesThis is not content delivery. This is system ownership.Core Responsibilities:1. Course Ownership

Design and refine the full learning journey of the course — from intuition to structure to abstraction

Maintain tight alignment between lectures, labs, Problem Solving Tutorials (PSTs), and assessments2. Pedagogy and Content Design

Design work-along sheets, not passive slides

Create problem sets that reveal understanding, not pattern recognition

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