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Riven Systems is seeking a Hydrometallurgical Engineer to advance chemistries from bench-scale to pilot scale. You will collaborate with ML, process modeling, autonomous experimentation, and commercial teams to build an automated platform for hydrometallurgical development.
The role welcomes experience across multiple disciplines and invites candidates to apply to the position closest to their skillset. You will contribute to strategy, experiments, and customer-facing campaigns in a lean,
Our mission is to leverage fundamental science and the exponential growth of computational power to revolutionize industrial chemistry. We are integrating autonomous laboratories, computational modeling, and AI to systematize the design, de-risking, and deployment of new chemical capabilities. Our work is deeply interdisciplinary and closes the loop between fundamental physics and industrial deployment.
We are starting with critical minerals because they underpin virtually every facet of modern life—including energy infrastructure, compute architecture, and defense systems—and are at the heart of a generational effort to reindustrialize the west. We intend to dramatically reduce the time and cost required to scale new mineral processing capacity.
As a Hydrometallurgical Engineer you will help rethink how new chemistries move from bench-scale to pilot. You will work closely with experts in machine learning, process modeling, autonomous experimentation, and our commercial team to build out an automated platform for hydrometallurgical development.
Riven is hiring a lean, interdisciplinary team and experience spanning multiple roles is welcome. Apply to whichever role is closest to your skillset.
We're proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability.
$135,000 - $190,000 per year
Compensation decisions are made based on track-record, seniority, and skill set. Additional consideration can be given to candidates with exceptional experience.