Job Description

Overview: 

We are seeking a skilled Operation Research Engineer to join our innovative team who enjoys working in a dynamic and fast-paced environment. You will play a crucial role in enhancing our CNTIENT-Optimize automated scheduling solution with cutting-edge machine learning algorithms and models. You will leverage your experience with operations research, optimization techniques, and dynamic programming, as well as developing and applying simulation models. You must also be comfortable taking ideas from theory to deployment. 

Location:

Houston - hybrid in the office 2-3 times a week

What you will be doing:  

• Design and implement mathematical models and algorithms to optimize processes, resource allocation, and decision-making. 
• Utilize optimization techniques, such as linear programming, integer programming, and dynamic programming. 
• Analyze and preprocess large datasets to inform models and derive actionable insights. 
• Develop and run simulations to validate models and assess performance under different scenarios. 
• Build tools to automate data collection and analysis. 
• Collaborate with cross-functional teams to identify and prioritize activities that address key milestones and requirements. 

What you will need: 

• US Citizenship, Permanent Resident (Green) Card 
• Bachelor’s, Master’s degree, or Ph.D. in a relevant field: Statistics, Applied Mathematics, Operations Research, Computational Physics, Computer Science, Engineering, etc. 
• 0-2 years of experience in software development and operations research or similar role. 
• Experience developing and implementing large scale optimization models using linear programming, mixed integer programming, and heuristics. 
• Proficiency with Python and familiarity with Rust, ORTools, and data science libraries such as Numpy and Pandas. 
• Familiarity with OR-Tools and other optimization libraries such as Gurobi and CPLEX. 
• Familiarity with machine learning frameworks, including TensorFlow, PyTorch, and Keras. 
• Proficiency in Jupyter Notebook for development, testing, and communicating results. 
• Proficiency with Linux development environment. 
• Strong analytical and problem-solving abilities, with a solid understanding of statistical analysis and data modeling techniques. 

Benefits: 

One of the most interesting aspects of working at a startup company is gaining equity, which means our success is your success. In addition to equity in the form of options, we also offer: 

• Flexible Time-Off policy and company holidays 
• Cost-effective health care, dental, and vision with company contributions 
• 401k matching plan with company match 
• Life insurance 
• Short-term and long-term disability 

Salary: 
$100,000 - $140,000 

We value job-related knowledge and skills, education, and experience. That’s why we will determine your actual level and base salary on a case-by-case basis, considering these factors. We believe this will ensure fair and competitive compensation for you.  

Company Information:

Cognitive Space is a Texas-based, venture-backed software company specializing in AI-driven solutions for space mission planning and satellite communications. Our proprietary AI Cognition Engine powers the CNTIENT-Optimize product, which has been successfully deployed in commercial and defense applications. We are committed to delivering innovative, resilient, and adaptive network management solutions that meet the demanding requirements of our commercial and government customers.

Cogntive Space Inc. is an equal opportunity employer. Cogntive Space Inc. does not discriminate in employment with regard to race, color, religion, national origin, citizenship status, ancestry, age, sex (including sexual harassment), sexual orientation, marital status, physical or mental disability, military status or unfavorable discharge from military service or any other characteristic protected by law.

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