Industrial Engineer (17-2112.00)

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Location: 99 S Almaden Blvd., Suite 600, San Jose, CA, 95113, United States of America

MATRIXELLENT INC. seeks to temporarily employ a work authorized individual under the H-1B nonimmigrant classification for specialty occupations. The H-1B program allows MATRIXELLENT INC., a U.S. employer, to temporarily employ a qualified nonimmigrant worker in a position that requires both (a) the theoretical and practical application of a body of highly specialized knowledge and (b) the attainment of a bachelor's or higher degree in the specific specialty (or its equivalent) as a minimum prerequisite for entry into the position.

MATRIXELLENT INC., the Petitioner, bears the burden of proof to demonstrate eligibility by a preponderance of the evidence. Matter of Chawathe, 25 I&N Dec. 369, 375-76 (AAO 2010). MATRIXELLENT INC., the Petitioner, requires an individual with a Master's degree in Industrial Engineering & Operations Research.

MATRIXELLENT INC. is defined as a tax exempt organization under the Internal Revenue Code of 1986, section 501(c)(3), (c)(4) or (c)(6), 26 U.S.C. 501(c)(3), (c)(4) or (c)(6)(8 CFR 214.2(h)(19)(iv)(A)), and has been approved as a tax exempt organization for research or educational purposes by the Internal Revenue Service (8 CFR 214.2(h)(19)(iv)(B)) to conduct scientific research for the purpose of aiding in the scientific education of college or university students (26 CFR 1.501(c)(3)-1(d)(5)(iii)(c)(1))

MATRIXELLENT INC. is seeking a highly skilled and knowledgeable Industrial Engineer to join our team as part of our innovative drone delivery project. As an Industrial Engineer specializing in financial engineering, the applicant will play a crucial role in optimizing our delivery processes, ensuring they are both operationally efficient and financially sustainable. The applicant will work closely with engineers, financial analysts, and project managers to design, implement, and manage the financial aspects of our drone delivery operations.

The applicant's key responsibilities include:

1. Financial Modeling: Develop and maintain sophisticated financial models using programming languages, including Python, R, and SQL, to analyze the costs and benefits of drone delivery operations based on existing and theoretical datasets. This includes assessing factors such as equipment costs, operational expenses, labor costs, and revenue projections. 

2. Cost Optimization: Identify opportunities to optimize costs throughout the drone delivery process, including route planning, fleet management, and maintenance schedules. Implement strategies to minimize expenses while maximizing efficiency. 

3. Risk Assessment: Conduct risk assessments to identify potential financial risks associated with drone delivery operations. Develop strategies to mitigate these risks and ensure financial stability. 

4. Performance Analysis: Analyze key performance metrics to evaluate the financial performance of drone delivery operations. Provide insights and recommendations for improvement based on these analyses. 

5. Regulatory Compliance: Stay informed about regulatory requirements related to drone delivery operations, particularly those with financial implications. Ensure compliance with relevant regulations and incorporate them into financial models and strategies. 

6. Collaboration: Collaborate with cross-functional teams, including engineers, operations specialists, and financial analysts, to develop integrated solutions that optimize both operational and financial performance.

7. Reporting: Prepare regular reports and presentations on the financial performance of drone delivery operations. Communicate findings and recommendations to senior management and other stakeholders.

To qualify for this position, the applicant must hold a Master’s degree in Industrial Engineering & Operations Research. Demonstrated experience in industrial engineering, operations research, and financial engineering. Proficiency in programming languages used in financial analysis, including Python, R, and MATLAB, is required. Strong analytical and problem-solving skills, along with excellent verbal and written communication skills, are essential.

- Must have a Master’s degree in Industrial Engineering & Operations Research. 

- Experience in industrial engineering, operations research, financial engineering, and scientific research related fields. 

- Proficiency in programming languages, including Python, R, SQL, MySQL, and AMPL. - Understanding in Linear programming: models, basic theory, algorithms, AMPL implementation, sensitivity analysis. 

- Advanced problem solving and analysis skills working with large amounts of data is required. 

- Knowledge in applications of operations research techniques, e.g., probability, statistics, and optimization, to financial engineering. 

- High familiarity with probability theory, statistical tools, continuous time models and simulation techniques. 

- Ability to use tools and approaches for the systematic design of databases for commercial and industrial applications, e.g., relational algebra, SQL, and normalization theory. 

- Familiarity with reinforcement learning methodologies, like Q-learning, GANs, is a plus. 

- Ability of quantitative critical thinking and familiarity with languages for transforming, querying and analyzing data.

- Experience in implementing algorithms for machine learning methods: regression, classification and clustering, and techniques for scalable data processing.

- Competitive salary commensurate with experience. 

- Comprehensive health benefits package.  

- Paid time off and holidays. 

- Professional development opportunities.

To apply, please submit your resume to admin@matrixellent.com or click the button below to apply on the website.

Matrixellent Inc. is an equal opportunity employer and encourages applications from individuals of all backgrounds.

Date Posted: 01/15/2024