Sr. Principal Engineer

Job Description

We are seeking a Senior Principal Engineer to lead advanced AI‑driven optimization initiatives for complex logistics systems. This role is responsible for designing, modeling, and solving large‑scale optimization problems that directly impact operational efficiency, cost, and scalability across logistics and supply‑chain applications. The ideal candidate combines deep academic rigor in optimization with hands‑on industrial implementation experience, and can act as both a technical authority and architect for optimization‑based AI solutions.

• Lead the design and implementation of optimization models for large‑scale logistics and supply‑chain problems (e.g., routing, scheduling, network design, capacity planning).
• Develop and maintain optimization formulations using Python‑based modeling frameworks such as Gurobi, Gurobi Py, and Pyomo; implement and tune appropriate optimization algorithms, including Linear Programming (LP), Mixed‑Integer Linear Programming (MILP), and Non‑Linear Programming (NLP).
• Translate complex real‑world logistics constraints into mathematically rigorous and computationally efficient models.
• Collaborate with AI, data science, and system engineering teams to integrate optimization engines into production AI platforms.
• Evaluate solver performance and scalability; optimize model performance for real‑time or near‑real‑time decision‑making.
• Provide technical leadership, mentoring, and design reviews for optimization engineers and researchers.

• PhD in Optimization, Operations Research, Applied Mathematics, Industrial Engineering, or a closely related field.
• Deep expertise in mathematical optimization modeling and algorithmic design.
• Strong hands‑on experience with Gurobi, Gurobi Py, and Pyomo.
• Proven knowledge of and practical experience with LP, MILP, and NLP formulations.
• Experience with solver behavior, numerical stability, and computational complexity.
• Strong understanding of logistics and supply‑chain optimization problems.
• Advanced Python programming skills for model development and integration.

• Experience applying optimization techniques in autonomous systems, including motion planning, trajectory optimization, autonomous vehicle or robotics applications.
• Familiarity with hybrid approaches combining optimization and machine learning.
• Experience deploying optimization‑based decision engines in production environments.

Nextpower offers a comprehensive benefits package. We provide health care coverage, dental and vision, 401(K) participation including company matching, company paid holidays with unlimited paid time off, generous discretionary company bonuses, life and disability protection and more. Employees in certain positions may be eligible for stock compensation. All plans are in accordance with relevant plan documents.

The annual salary range for this position is $275,000-$300,00.

Nextpower is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.