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Details

Posted: 30-Aug-23

Location: Tucson, Arizona

Type: Full Time

Salary: Salary dependent on experience

Categories:

Industrial - Operations Research

Industrial Engineering

Academic Designation:

Industry

Work Function:

Engineers

Operations Research Professionals

Programming

Salary Details:

Medical/dental/vision, employer HSA contributions, up to 5% matching 401k, employee bonus program, 4 weeks PTO annually with 8 additional holidays, 1-week paid holiday shutdown, 9/80 schedule, hybrid in-office (2 days per week)

Preferred Education:

Masters

Additional Information:

2 openings available.

Applied Sciences Department

The Applied Sciences department designs and develops real-time optimization engines for automated and manned systems across the mining value stream with special focus on load & haul operation. In addition, it researches and develops predictive models based on data analytics on the cloud and on the edge.

The Applied Sciences department is looking for an Operations Research Engineer to design and develop flexible and scalable solutions for some of the most complex challenges in large-scale computing by utilizing skills in optimization models, algorithm design, data structures, and object-oriented programming.

Job Description

• Design and develop optimization models and algorithms with and without commercial solvers following established software development practices and processes.
• Develop and implement solutions to optimize and automate business decisions using large data sets and algorithms.
• Create low-level design of modules of a software application through proper documentation and diagrams.
• Develop proof of concepts for technical evaluation and early customer feedback.
• Develop software solutions by studying requirements, clarifying customer/user needs, analyzing data and processes, and following established software development practices and processes.
• Understand applications domain and pro-actively interact with product teams to improve functional and nonfunctional aspects of platform components.
• Update and share knowledge by reading professional publications. And studying state-of-the-art development tools, programming techniques, and computing technology.

Required Education

• PhD in Operations Research, Industrial Engineering, Systems Engineering, Computer Science or related

-or-

• MS in Operations Research, Industrial Engineering, Systems Engineering, Computer Science or related with 2+ years’ experience.
  
  

Required Skills

• Experience in designing, implementing, and testing analytic and/or algorithmic solutions to business or operational problems.
• Background in design and development discrete, nonlinear, or stochastic mathematical optimization models and combinatorial optimization algorithms.
• Experience in decomposition approaches solving large-scale optimization problems.
• Experience with optimization modeling languages (e.g., Pyomo, GAMS) and solvers (e.g., Gurobi, CPLEX)
• Expert in at least one major object-oriented programming language (C/C++, C#, Java, Kotlin, or Python)
• Understanding of data structures, algorithm design, problem solving, and complexity analysis
• Understanding of database theory and experience in at least one relational DBMS
• Strong computer science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis.
• Experience in Requirement/Design/Code Review, Parallel and Asynchronous programming, and software engineering best-practices, patterns, and anti-patterns
• Hands-on experience with using Git (handling branching and merging) and DevOps pipelines.
• Core programming knowledge on multi-threading, garbage collector, advanced debugging and memory profiling.

Desired Skills

• Knowledge in statistics and data science models (K-means, random Forrest, neural nets etc.).
• Familiar with data modelling, frameworks, and tools such as Databricks/Spark, Postgresql, RabbitMQ, Kafka, Kubernetes, AMQP Messaging tools, gRPC, REST, Serialization Protocols, Docker, RDBMS.
• Experience with databases modeling and ORM frameworks.
• Experience with Web Technologies such as HTML, CSS and Javascript.
• Experience developing systems using cloud technologies.
• Outstanding written and interpersonal skills, ability to effectively interact with local and offshore development teams.
• Experience with Agile methodologies.
• Experience developing mining systems.

About Komatsu Mining Technology Solutions

The Company Modular Mining Systems is the global leader in mine management technology and a wholly owned subsidiary of Komatsu Ltd. Our innovative technology powers mine operations in every corner of the globe. The products we cultivate, the solutions we engineer and the service we deliver set us apart in the Mining Technology industry. We’re more than a company, we’re a community of passionate, creative professionals striving toward a shared vision: to revolutionize the way the mining industry operates. With a presence stretching from Johannesburg to Vancouver, Sydney to Lima, you are part of a global brand that supports creativity, fosters innovation and encourages you to think big, share ideas and be yourself. https://www.youtube.com/watch?v=3SZkR1BSSLI&ab_channel=ModularMining DISPATCH Fleet Management System Introduced 40 years ago as mining’s first-ever computer-based dispatching tool, the DISPATCH Fleet Management System has revolutionized the way mines work in real-time. Today, it is the most trusted FMS in the mining industry. The system leverages three mathematical programming models – Linear Programming (LP), Dynamic Programming (DP), and Best Path (BP) — to... maximize your overall truck productivity by maintaining and updating a real-time model of the mine equipment, locations, and haulage roads. The system continuously calculates optimized truck assignments and sends them to truck operators automatically. The Autonomous Haulage System (AHS) The Autonomous Haulage System (AHS) is a comprehensive fleet management system for mines. The autonomous haul truck, jointly developed by Komatsu Ltd., Komatsu America Corp. and Modular Mining, is centrally controlled through a wireless network that integrates: On-board vehicle controllers High-precision global positioning Obstacle detection and avoidance systems. The system has full supervisory logic that utilizes complex data fusion to control the dump truck to safely operate through a load, haul and dump cycle and allow integration with other mine vehicles such as light vehicles, dozers, loaders, and graders.

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