Lead Engineer - Operations Research for Controls & Optimization

# Job Description Summary

GE Vernova Advanced Research Center is seeking a highly motivated and technically skilled Junior PhD Engineer to join our Controls and Optimization team. As part of a multidisciplinary group of scientists and engineers, you will contribute to solving complex industrial challenges using mathematical modeling, optimization, and simulation. You will work on projects spanning energy systems, manufacturing, logistics, supply chain management and emerging technologies, collaborating with domain experts to deliver impactful solutions. This role offers a unique opportunity to apply cutting-edge research in a dynamic, real-world environment while continuing to grow your expertise in operations research and analytics.

As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business's mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future.

Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova's businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy-focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy.

Hiring Requirements

Job Details

Job Profile

Job Profile

Lead Engineer 1 - Computer Engineering and Science

Job Families for Job Profiles

Job Families for Job Profiles

Disciplinary Engineering and Science; LPB

Worker Sub-Type

Worker Sub-Type

Regular

Worker Type

Worker Type

Employee

Time Type

Time Type

Full time

Compensation Grade

Compensation Grade

LPB1

Primary Location

Primary Location

Niskayuna VERNOVA NY US 2

Primary Job Posting Location

Primary Job Posting Location

Niskayuna

Additional Locations

Additional Locations

(empty)

Additional Job Posting Locations

Additional Job Posting Locations

(empty)

Scheduled Weekly Hours

Scheduled Weekly Hours

40

Work Shift

Work Shift

(empty)

Recruiting Start Date

Recruiting Start Date

08/26/2025

Target Hire Date

Target Hire Date

09/03/2025

Target End Date

Target End Date

(empty)

Additional Information

Union Membership from Job Profile

Union Membership from Job Profile

(empty)

Allowed Unions from Job Profile

Allowed Unions from Job Profile

(empty)

Collective Agreement Details

Collective Agreement

Collective Agreement

(empty)

# Job Description

Roles and Responsibilities

- Develop and implement mathematical models for optimization, scheduling, resource allocation, logistics and supply chain management

- Design and execute simulation studies to evaluate system performance under uncertainty

- Collaborate with cross-functional teams to translate business problems into analytical frameworks

- Prototype and validate algorithms using Python, MATLAB, or similar platforms

- Communicate technical findings through presentations, reports, and publications

- Contribute to proposal development and support external funding initiatives

- Stay current with advancements in operations research and related fields

Required Qualifications

- PhD in Operations Research, Industrial Engineering, Applied Mathematics, or related field

- Strong foundation in linear, nonlinear, and integer optimization

- Proficiency in programming languages such as Python, C++, or MATLAB

- Experience with optimization solvers (e.g., Gurobi, CPLEX, or SCIP)

- Demonstrated ability to conduct independent research and publish in peer-reviewed venues

- U.S. citizenship or permanent residency is REQUIRED for this role due to Federal Contract Provisions

- You must be 18 years of age or older

- Must be willing to work out of an office located in Niskayuna, NY

- You must submit your application for employment on the careers page at www.careers.gevernova.com to be considered.

Desired Characteristics

- Familiarity with machine learning techniques and integration with optimization

- Experience with stochastic modeling, queuing theory, or game theory

- Strong communication and interpersonal skills for working in multidisciplinary teams

- Intellectual curiosity and a passion for solving real-world problems

- Ability to manage multiple projects and adapt to evolving priorities

- Prior internship or collaboration with industry or government research labs

The salary range for this position is $98,400 - $164,000 USD, annually. The specific salary offered to a candidate may be influenced by a variety of factors including the candidate’s experience, their education, and the work location. This position is also eligible for a performance bonus. This position will remain posted until at least September 6th 2025.

GE Vernova provides a comprehensive benefits package that provides access to plans which support the overall wellbeing of our employees and their dependents. These benefits include, but are not limited to, health care coverage (medical, dental, vision, pharmacy), a retirement plan that includes Company Retirement Savings and a 401K with Company matching, Life Insurance options, Disability coverage, paid time-off, EAP, and more.

GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Relocation Assistance Provided: Yes