At a Glance
- Tasks: Support engineering teams by deploying AI solutions and transforming data analysis.
- Company: CoreWeave, a pioneering cloud platform for AI with a vibrant culture.
- Benefits: Competitive salary, family-level medical insurance, generous pension, and tuition reimbursement.
- Other info: Dynamic work environment with opportunities for growth and collaboration.
- Why this job: Join a fast-growing team and make a real impact in the AI engineering space.
- Qualifications: Degree in engineering and experience with machine learning and data analysis.
The predicted salary is between 60000 - 80000 £ per year.
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.
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. Customer Success 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 Senior Customer Success 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:
- 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 CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:
- Be Curious at Your Core
- Act Like an Owner
- Empower Employees
- Deliver Best-in-Class Client Experiences
- Achieve More Together
We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!
To fulfil our obligation to protect client data, successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check, conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results.
What We Offer: In addition to a competitive salary, we offer a variety of benefits to support your needs, including:
- Family-level Medical Insurance
- Family-level Dental Insurance
- Generous Pension Contribution
- Life Assurance at 4x Salary
- Critical Illness Cover
- Employee Assistance Programme
- Tuition Reimbursement
- Work culture focused on innovative disruption
Benefits may vary by location.
Our Workplace: While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.
CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.
CoreWeave does not accept speculative CVs. Any unsolicited CVs received will be treated as the property of CoreWeave and your Terms & Conditions associated with the use of CVs will be considered null and void.
Export Control Compliance: This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Senior Customer Success Engineer in London employer: CoreWeave Europe
As an Executive Assistant at our innovative and rapidly scaling company, you will thrive in a dynamic work culture that prioritises creative disruption and employee growth. We offer a competitive salary alongside a comprehensive benefits package, including family-level medical and dental insurance, generous pension contributions, and tuition reimbursement, ensuring that you and your family are well taken care of while you excel in your role. Join us to be part of a supportive environment where your contributions are valued and opportunities for professional development abound.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Customer Success Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry, especially those at CoreWeave. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills in real-time! If you get the chance, demonstrate your problem-solving abilities during interviews. Bring examples of how you've tackled complex engineering challenges using data-driven approaches.
✨Tip Number 3
Be curious and ask questions! When you're in an interview, don't just answer questions—engage with your interviewers. Ask about their projects and how they use AI in engineering. It shows you're genuinely interested.
✨Tip Number 4
Apply through our website! It's the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the CoreWeave team.
We think you need these skills to ace Senior Customer Success Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Customer Success Engineer role. Highlight your experience with engineering datasets and machine learning concepts, as these are key to what we’re looking for.
Showcase Your Problem-Solving Skills:In your application, don’t just list your skills; show us how you’ve used them to solve complex engineering problems. We love seeing real-world examples of your impact!
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language to explain your experience and how it relates to the role. We appreciate clarity!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Don’t miss out!
How to prepare for a job interview at CoreWeave Europe
✨Know Your Stuff
Make sure you brush up on your engineering knowledge, especially around simulation, testing, and manufacturing data. CoreWeave is looking for someone who can apply machine learning concepts in real-world scenarios, so be ready to discuss how you've tackled complex problems in the past.
✨Showcase Collaboration Skills
Since this role involves working closely with cross-functional teams, prepare examples of how you've successfully collaborated with engineers and data scientists. Highlight any projects where teamwork led to significant outcomes, as this will resonate well with the interviewers.
✨Communicate Clearly
You’ll need to explain technical findings to various stakeholders, so practice articulating complex ideas in simple terms. Think about how you can convey your insights from engineering datasets effectively, as clear communication is key in this role.
✨Embrace Curiosity
CoreWeave values a curious mindset, so come prepared with questions about their AI solutions and how they impact engineering workflows. Showing genuine interest in their work and a desire to learn will set you apart from other candidates.
