Job Opportunities API

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at  www.coreweave.com .   We're proud to be a Living Wage accredited Employer.   What You’ll Do: The Physical AI Field Engineering team at CoreWeave works directly with engineering organizations to deploy AI solutions that transform how engineering teams analyze test, simulation, and manufacturing data. This team partners closely with customers to apply machine learning techniques to intractable physics problems, helping them extract insights from large engineering datasets and improve decision-making across their development workflows. Specialist Field Engineers work alongside Forward Deployed Data Scientists and other technical specialists to deliver real-world AI applications inside customer environments. By combining engineering domain expertise with applied machine learning, the team ensures that AI solutions deliver measurable impact within production engineering workflows. About the role: CoreWeave is seeking a Specialist Field Engineer to support the technical delivery of AI solutions for engineering teams. In this role, you will work closely with delivery leads and data scientists to implement customer solutions using engineering datasets such as simulation, testing, and manufacturing data. You will apply machine learning concepts within real engineering workflows while helping customers understand and adopt AI-driven approaches to problem solving. Your work will contribute directly to the successful deployment and adoption of AI solutions across multiple customer projects. Who You Are: Bachelor’s or Master’s degree in Mechanical Engineering, Aerospace Engineering, Manufacturing Engineering, or a closely related technical discipline. Experience working with engineering development workflows involving simulation, test, or manufacturing data. Experience working with engineering datasets and analytical tools to investigate and solve complex technical problems. Understanding of machine learning concepts and data-driven modeling approaches. Experience learning and applying new technical platforms or analytical tools within engineering or technical environments. Experience collaborating with cross-functional technical teams to deliver complex technical solutions. Experience communicating technical findings to engineering stakeholders. Preferred: (if applicable) 5+ years industry experience in automotive, aerospace, advanced manufacturing, or related engineering domains. Hands-on experience working with physical testing data, simulation workflows, or design optimization. Experience working with large engineering datasets or data-driven engineering tools. Fluency in German or Spanish. Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.  You enjoy solving complex engineering problems using data-driven approaches. You are curious about how machine learning can enhance engineering decision-making. You enjoy learning new technical tools and applying them to real-world engineering challenges. You thrive when working collaboratively with engineers, data scientists, and customers to deliver meaningful solutions. Why CoreWeave? At Cor