At a Glance
- Tasks: Lead innovative solutions in AI and cloud computing, collaborating with customers and engineering teams.
- Company: CoreWeave, the AI Hyperscaler™, ranked among TIME100 most influential companies of 2024.
- Benefits: Dynamic work environment, career-defining opportunities, and a chance to shape the future of technology.
- Other info: Opportunity for hands-on engagement and thought leadership in a rapidly evolving industry.
- Why this job: Join a pioneering team revolutionising cloud computing with cutting-edge GPU technology.
- Qualifications: Experience in Kubernetes, Machine Learning Operations, or Networking Engineering is a plus.
The predicted salary is between 60000 - 80000 £ per year.
CoreWeave is the AI Hyperscaler™, delivering a cloud platform of cutting edge services powering the next wave of AI. Our technology provides enterprises and leading AI labs with the most performant, efficient and resilient solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe. CoreWeave was ranked as one of the TIME100 most influential companies of 2024.
As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you’re someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, CoreWeave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry.
CoreWeave powers the creation and delivery of the intelligence that drives innovation. Are you ready to embark on an exhilarating journey of shaping the future of cloud computing? At CoreWeave, we’re not just another cloud provider - we’re pioneers revolutionizing the industry by putting bleeding edge GPU technology on top of the industry’s fastest and most adaptable infrastructure.
We are on the hunt for remarkable Solutions Architects who share our passion and possess deep subject matter expertise in one or more of the following domains: Kubernetes, Machine Learning Operations, Distributed Training/Inference, or Networking Engineering. Why these domains, you ask? Well, Kubernetes and secure & high performance network connectivity lie at the very heart of the CoreWeave platform. On top of this foundation, our customers are building AI/ML and High Performance Computing workloads oftentimes running on the Slurm workload manager that are changing the world.
As a Senior Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands‑on throughout our customers’ entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. Your role will not only be to engage our customers, but you will also align closely with our engineering team. You will offer valuable insights from the field and have the chance to contribute directly to our product roadmap and development.
If you’re driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that’s shaping the future, then CoreWeave is the place for you. Join us and let’s embark on this adventure together!
What You’ll Do:
- Serve as the primary technical point-of-contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave’s cloud infrastructure offerings.
- Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
- Lead proof of concept initiatives to showcase the value and viability of CoreWeave’s solutions within specific environments.
- Act as a virtual member of CoreWeave’s HPC/ML product and engineering teams by identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.
- Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.
- Lead periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and recommending suitable solutions.
- Stay abreast of the latest developments and trends in cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.
- Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.
- Represent CoreWeave at conferences and industry events, with occasional travel as required.
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’ve got some of this under your belt. You have proven experience as a solutions architect or a technical.
Solutions Architect - HPC/AI/ML in London employer: Dormont Manufacturing Co
CoreWeave is an exceptional employer, offering a dynamic work culture that thrives on innovation and adaptability. As a leader in AI cloud solutions, we provide our employees with unparalleled opportunities for professional growth and the chance to work on cutting-edge technology that shapes the future of computing. Join us in a collaborative environment where your expertise will directly influence product development and customer success, all while being part of a team recognised as one of the TIME100 most influential companies of 2024.
StudySmarter Expert Advice🤫
We think this is how you could land Solutions Architect - HPC/AI/ML in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Dormont Manufacturing Co or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Dormont Manufacturing Co.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Dormont Manufacturing Co.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Dormont Manufacturing Co that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Solutions Architect - HPC/AI/ML in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Dormont Manufacturing Co.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Dormont Manufacturing Co and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Dormont Manufacturing Co
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Dormont Manufacturing Co uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
