At a Glance
- Tasks: Support AI solutions for engineering teams and collaborate on innovative projects.
- Company: CoreWeave, the essential cloud for AI, empowering innovators.
- Benefits: Competitive pay, hybrid work options, and a supportive environment.
- Other info: Join a diverse team and enjoy excellent career growth opportunities.
- Why this job: Make a real impact in AI-driven engineering solutions.
- Qualifications: Degree in engineering and experience with data-driven problem solving.
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. Trust is placed in leading AI labs, startups, and global enterprises, with CoreWeave combining infrastructure performance and technical expertise to accelerate breakthroughs.
We’re proud to be a Living Wage accredited Employer.
What You’ll Do
- Support the technical delivery of AI solutions for engineering teams.
- Collaborate with delivery leads and data scientists to implement customer solutions using engineering datasets such as simulation, testing, and manufacturing data.
- Apply machine learning concepts within real engineering workflows and help customers understand and adopt AI-driven approaches to problem solving.
- 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 with engineering development workflows involving simulation, test, or manufacturing data.
- Experience 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 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 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.
Candidate Qualities
- 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.
Benefits and Workplace
Location and benefits vary by role and location. CoreWeave offers competitive compensation and benefits packages, with a focus on supporting employee needs and a collaborative work environment. 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 onboarding at a hub within their first month. Teams also gather quarterly to support collaboration.
EEO and Privacy
CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants 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.
Senior Customer Success Engineer employer: Dormont Manufacturing Co
CoreWeave is an exceptional employer, offering a dynamic and collaborative work environment that prioritises employee growth and innovation in the AI sector. With competitive compensation packages and a commitment to inclusivity, employees are encouraged to thrive through continuous learning and teamwork, making it an ideal place for those passionate about engineering and technology. The hybrid work model and quarterly team gatherings further enhance the sense of community and support among colleagues.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Customer Success Engineer
✨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! Prepare a portfolio or case studies that highlight your experience with engineering datasets and machine learning. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable discussing complex technical problems and solutions. Mock interviews with friends or mentors can really boost your confidence.
✨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 genuinely interested in joining the CoreWeave team.
We think you need these skills to ace Senior Customer Success Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Customer Success Engineer. Highlight your experience with engineering datasets and machine learning concepts, as these are key for us at CoreWeave.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and engineering. Share specific examples of how you've solved complex problems in the past, and how you can bring that expertise to our team.
Showcase Your Technical Skills:Don’t shy away from listing your technical skills! We want to see your hands-on experience with simulation workflows and data-driven tools. Be specific about the platforms and tools you’ve used.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Dormont Manufacturing Co
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical aspects of AI solutions and engineering datasets. Brush up on machine learning concepts and be ready to discuss how they apply to real-world engineering workflows. This will show your potential employer that you can hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex engineering problems you've solved using data-driven approaches. Be specific about the tools and methodologies you used, and how your solutions benefited the project or team. This will demonstrate your hands-on experience and analytical skills.
✨Collaborate Like a Pro
Since the role involves working with cross-functional teams, think of instances where you successfully collaborated with engineers, data scientists, or customers. Highlight your communication skills and how you’ve effectively conveyed technical findings to non-technical stakeholders.
✨Be Curious and Open to Learning
Express your enthusiasm for learning new technical platforms and analytical tools. Share any recent experiences where you adapted to new technologies or methodologies, as this shows your willingness to grow and adapt in a fast-paced environment.
