Engineer Product II - Agronomic Functional Systems

Major PurposePlans, coordinates, performs product design, testing and/or analysis work for a complete project of moderate scope or for a significant portion or a sub-system of a major and diverse project. Operates in a team environment, providing input to design solutions and participating in design reviews. May assign, coordinate and review portions of the work to support personnel. Decisions are made within established guidelines and may be reviewed by supervisors.Major Duties? Contribute to the analysis of information and the specification of the methods and process steps, as well as the plant, machinery, and equipment, required to design and continuously improve manufacturing or materials processes and process systems to deliver the end product within specified cost and quality parameters.? Contribute to the design of engineering solutions; design the feasibility testing approach and supervise its implementation to support the development and validation of engineering solutions.? Carry out a range of activities under the guidance of more senior colleagues to support the drafting of engineering standards and specifications and the evaluation of the effectiveness of those standards.? Carry out inspections under the supervision of senior colleagues to evaluate the quality of engineering works and/or the integrity of existing installations or structures, and make recommendations to senior colleagues on the remedial works needed to ensure conformance with specifications and regulatory requirements.? Identify shortcomings in existing processes, systems, and procedures, and use established change management programs to address them.? Work within an established project management plan to achieve specific goals.? Develop own capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching; gain or maintain external professional accreditation, where relevant, to improve performance and fulfill personal potential. Maintain an understanding of relevant technology, external regulation, and industry best practices through ongoing education, attending conferences, and reading specialist media.Skills, Abilities, Knowledge? Works without supervision and provides technical guidance when required on how to get results using new and advanced engineering technologies. ? Works without supervision and provides technical guidance as needed on executing engineering designs using the appropriate methods, tools, processes and software. ? Works without supervision and provides technical guidance as needed on achieving engineering development targets using appropriate methods, tools, processes and software. ? Works without supervision and provides technical guidance when required on producing technical engineering specifications and related materials. ? Works without supervision and provides technical guidance when required on testing, evaluating and improving engineering outcomes. ? Builds engineering solutions without supervision and provides technical guidance on these solutions as needed. ? Works without supervision and provides technical guidance when required on implementing engineering designs, evaluating outcomes and then making improvements as needed. ? Manages and applies safe systems of work without supervision and provides technical guidance when required. Education? Bachelor’s Degree or Equivalent Level Enable Skills-Based Hiring No If a Glider Assessment is Required, enter the assessment ID try { var fgTooltip = new FG.Tooltip({ element: $(‘#cf_descz2307211941238615621890e’), text: “If\x20a\x20Glider\x20assessment\x20is\x20required,\x20this\x20field\x20will\x20be\x20used\x20by\x20the\x20program\x20team\x20to\x20provide\x20suppliers\x20with\x20the\x20specific\x20test\x20ID\x20That\x20suppliers\x20who\x20receive\x20an\x20interview\x20request\x20should\x20use.” }).initialize(); } catch(err) {} Additional Details

• Manager’s Requested Bill Rate : (No Value)
• Does the position allow for the worker to be virtual/remote? : No
• Critical Position? : No
• If a Glider Assessment is Required, enter the assessment ID : N/A
• Position Title : Agronomic Systems Modeling Specialist, Job Title: Engineer Product II Client: Heavy Machine Manufacturing Company Duration: 12 Months (Possible Extension/Conversion) Location: Waterloo IA 50613-8000 Shift, 1st s…

• Specific Position Requirements : Spotlight call: see all chatMax Bill Rate: 75/hrPerson can sit at either JD Cary or JDF (preferred), but will consider fully remote. If remote, would need to be available roughly 8-5 Central time. Would also need to be able to travel to Des Moines 1 or 2 times pers year.Ideally looking for someone with a PhD (related to process based crop modeling (expert in Corn or Soy)) and some industry experience (Ag or seeding companies).Responsibilities Develop modeling approaches for G x E x M interactions to predict the outcomes of various management scenarios (planting date, variety selection, fertility management, crop care, etc.) in corn, soybean and cotton production systems across diverse geographies. Design and execute model calibration, validation, and sensitivity analyses to quantify model performance, uncertainty, and limitations across geographies, years, and management systems. Understand interactions among genotype, weather, soil, management, and cropping history to clearly define modeling problems, input requirements, outputs, assumptions, and validation criteria. Work with large, machine-generated agricultural datasets including planter, sprayer, harvest data. Work with large geospatial datasets including soil maps, topography, multispectral imagery, remote sensing products, and environmental data layers. Develop repeatable workflows for processing, summarizing, and visualizing outcomes of these models. Develop agronomic logic, constraints, and validation frameworks that ensure AI-generated recommendations are agronomically sound, transparent, and scientifically defensible. Collaborate with agronomists, data scientists, software developers, and product managers to build, scale, and communicate outcomes of these models.Required Qualifications Exp. developing, calibrating, validating, and applying APSIM, DSSAT, or comparable process-based crop models for agricultural decision support. Strong understanding of crop physiology, phenology, soil water dynamics, nutrient cycling, and their influence on crop response to management and environment. Strong understanding of at least one major US row crop production system, with expertise in corn and soybean production preferred. Advanced proficiency in R and/or Python for data analysis, simulation workflows, and model development. Exp. working with Databricks, SQL, cloud computing environments, APIs, for scalable analytical and simulation workflows. Demonstrated experience with AI assisted development. Experience working with large multi-environment, multi-year, or multi-management agricultural datasets and developing reproducible analytical workflows. Ability to communicate model assumptions, results, limitations, and uncertainty to both technical and nontechnical audiences. Experience translating scientific models or research outputs into practical decision-support tools, recommendations, or operational workflows for growers. Master s or Ph.D. in agronomy, crop science, soil science, biological systems engineering, agricultural engineering, quantitative genetics, or a closely related discipline.Preferred Qualifications Experience with John Deere Operations Center and precision agriculture technologies including planting, spraying, harvest, automation, sensing, and variable-rate management systems. Familiarity with machine-generated datasets and common grower-facing agronomic data layers (field boundaries, management zones, digital elevation models). Experience working in agricultural industry with agronomic model development. Experience developing agronomic constraints or validation systems for AI-generated recommendations. Experience integrating drone and satellite data into analytics pipelines. Proficiency in SQL, R, Python, Tableau, Power BI, or similar tool