At Honda, we're looking for a Supplier Process Engineer to join our team. As a key member of our organization, you will play a crucial role in advancing our ability to improve supply chain stability with a single and efficient regional mindset. Your mission will be to maintain strong delivery characteristics with a regional viewpoint in order to support smooth production operations across North American manufacturing facilities, ensuring customer satisfaction.
\nYour responsibilities will include:
\nTo succeed in this role, you will need to have a strong sense of urgency and flexibility to respond to critical issues and unplanned risk events. You will also need to be able to travel at moments' notice to confirm supplier situations at the spot (50% time).
\nIn return, we offer a competitive base salary, paid overtime, regional bonus, industry-leading benefit plans, paid time off, company-paid short-term and long-term disability, 401K plan with company match, and relocation assistance (if eligible).
\nIf you're passionate about working in a dynamic and innovative environment, and you're looking for a challenging role that will allow you to grow and develop your skills, then we encourage you to apply for this exciting opportunity.
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\nYour key responsibilities will include:
\nThe ideal candidate will have:
\nPreferred qualifications include experience in sub-sea robotics (AUVs, UUVs, underwater equipment) and experience working with electrical systems up to 400Vdc.
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\nAs a Director of Mineral Processing, you will contribute to and lead the development and execution of mineral processing strategy across KoBold's portfolio, with an initial focus on the Mingomba copper project in Zambia. You will be responsible for all aspects of process engineering from early-stage metallurgical testwork through feasibility study design and operational readiness.
\nKey Responsibilities:
\nOwn the process flowsheet design for Mingomba and future KoBold projects, from scoping through feasibility.
\nWork hands-on and with your team to define and manage metallurgical testwork programs: comminution characterization, flotation optimization, hydrometallurgical evaluation, and pilot-scale campaigns.
\nEvaluate and recommend processing routes including froth flotation to concentrate, SX-EW, pressure oxidation, and smelter/refinery toll arrangements. Quantify the economic trade-offs of each.
\nDevelop process design criteria, mass and water balances, and equipment specifications for feasibility-level engineering.
\nLead the assessment of tailings characteristics, reprocessing potential, and environmental implications of process residues.
\nBuild and maintain a geometallurgical framework that links ore variability (mineralogy, texture, grade distribution) to processing performance with first principles and statistical models.
\nCollaborate with geologists and data scientists to integrate geometallurgical statistics into resource models, mine schedules, and economic analyses.
\nDefine sampling protocols for metallurgical characterization of drill core and ensure adequate coverage of ore variability.
\nEnsure mineral processing assumptions are reflected in techno-economic models including TC/RC structures, payable metal calculations, and concentrate penalty elements.
\nBuild, lead, and mentor a mineral processing function within KoBold's Advanced Technology Group.
\nDirect and manage relationships with metallurgical consultants, contract laboratories, and engineering firms.
\nServe as one of KoBold's internal experts and external representatives on mineral processing for investor presentations, partner discussions, and technical reviews.
\nContribute to feasibility study management and preparation of technical reports (NI 43-101 / JORC-compliant as applicable).
\nIdentify and evaluate emerging processing technologies relevant to KoBold's target commodities (copper, lithium, nickel, cobalt) along with the existing team.
\nWork with mine engineers to optimize cut-off grade strategies and ore scheduling based on processing constraints.
\nPartner with KoBold's data science team to apply machine learning and statistical methods to metallurgical datasets.
\nCoordinate with business development and commercial teams on offtake strategy, concentrate marketing, and smelter negotiations.
\nSupport environmental and permitting workstreams with process-related inputs on water use, reagent consumption, emissions, and waste management.
\nQualifications:
\nPreferred Qualifications:
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