At a Glance
- Tasks: Design and implement cutting-edge AI solutions for financial services.
- Company: Join NVIDIA, a leader in AI technology and innovation.
- Benefits: Competitive salary, extensive benefits, and a flexible work environment.
- Other info: Diverse and inclusive workplace with opportunities for growth.
- Why this job: Be at the forefront of AI and data centre technology in finance.
- Qualifications: Experience in AI, financial services, and large-scale systems management.
The predicted salary is between 80000 - 100000 £ per year.
NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Solution Architect with deep expertise in AI solutions and scalable data center infrastructure. Our innovations are powering the era of AI, and we need a technical leader to drive the design and deployment of cutting‑edge compute platforms. In this role, you will be the first line of technical expertise between NVIDIA and our customers, supporting and implementing solutions that address complex deployment challenges. You will work closely with customers, partners, and internal teams to deliver high-performance, scalable, and efficient data center architectures. We are looking for someone who can maintain alignment in a fast‑paced environment and build lasting relationships within the financial sector.
What you’ll be doing
- Financial Services Engagement: Work directly with trading firms and banks to leverage NVIDIA’s advanced technologies for financial workloads.
- Infrastructure Design: Implement sustainable data center architectures that optimize energy efficiency and reduce environmental impact.
- Technical Specialist: Serve as a technical specialist for GPU and networking products, collaborating closely with account managers to secure design wins.
- Collaboration: Work closely with product management, engineering, and sales teams to develop and deliver comprehensive AI and accelerated computing solutions.
- Industry Interaction: Dynamically engage with developers, industry researchers, data scientists, and IT managers to solve a range of technical challenges.
- RA Reviews: Lead technical project aspects of complex data center deployments, including the review and validation of Reference Architectures (RA) for large‑scale financial infrastructure.
What we need to see
- BS, MS, or PhD degree in Machine Learning, Computer Science, or a related technical field.
- Financial Firm Experience: Proven experience working within Financial Services firms.
- Accelerated Computing: Minimum of 8 years of experience in AI and accelerated technologies.
- Pre-Sales Expertise: Proven experience driving the technical pre‑sales process and engaging with customer engineers and architects.
- Large-Scale Systems: Proven experience with large‑scale systems management and infrastructure automation.
- GPU Stack: Experience with NVIDIA GPUs and related software stacks, such as cuDNN and NCCL.
- Core Infrastructure: Strong knowledge of AI and data center technologies, including proficiency in Operating Systems and Linux kernel drivers.
- Communication: Solid written and oral communication skills with familiarity in collaborative environments.
Ways to stand out from the crowd
- Cloud Platforms: Proficiency in cloud platforms (AWS, Azure, Google Cloud) and hybrid cloud solutions.
- Orchestration & Tooling: Knowledge of software‑defined infrastructure, Kubernetes, and MLOps technologies.
- Advanced Cooling: Experience with liquid cooling technologies and practices.
- Systems & Networking: Hands‑on experience with InfiniBand, NVIDIA Networking technologies (DPU, RoCE), and ARM CPU solutions.
- Programming: Experience with Python or C/C++ programming and AI workflow development (training/inference).
Benefits
We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all.
Solutions Architect, Financial Services - Data Center and Infrastructure in Reading employer: NVIDIA Gruppe
NVIDIA is an exceptional employer, offering a dynamic work environment that champions innovation and collaboration in the rapidly evolving field of AI and data center infrastructure. With a strong commitment to diversity and inclusion, employees benefit from competitive salaries, extensive benefits, and ample opportunities for professional growth while working alongside industry leaders in the financial services sector. The company's focus on sustainable practices and cutting-edge technology ensures that team members are at the forefront of impactful solutions, making it a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Solutions Architect, Financial Services - Data Center and Infrastructure in Reading
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the financial services sector. Attend industry events, webinars, or even local meetups. The more people you know, the better your chances of landing that Solutions Architect gig!
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your expertise in AI solutions and data centre infrastructure. This will not only demonstrate your technical prowess but also give you something tangible to discuss during interviews.
✨Tip Number 3
Practice makes perfect! Prepare for those tricky interview questions by doing mock interviews with friends or using online platforms. Focus on articulating your experience with large-scale systems and how you've tackled complex deployment challenges.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Make sure your application stands out by tailoring it to highlight your experience with NVIDIA technologies and your passion for AI in financial services.
We think you need these skills to ace Solutions Architect, Financial Services - Data Center and Infrastructure in Reading
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience in AI solutions and data centre infrastructure, especially if you've worked in financial services. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background makes you the perfect fit. Don’t forget to mention any specific projects or achievements that relate to the position.
Showcase Your Technical Skills:Since this role is all about technical expertise, make sure to list your relevant skills clearly. Whether it's your experience with NVIDIA GPUs or cloud platforms, we want to see it all! Use bullet points for easy reading.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at NVIDIA Gruppe
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of AI solutions and data centre infrastructure. Be ready to discuss NVIDIA's GPU stack, including cuDNN and NCCL, as well as your experience with large-scale systems management. This will show that you're not just familiar with the tech but can also apply it in real-world scenarios.
✨Showcase Your Financial Services Experience
Since this role involves working directly with trading firms and banks, highlight your previous experience in financial services. Prepare examples of how you've leveraged technology to solve complex challenges in this sector, and be ready to discuss specific projects where you made a significant impact.
✨Demonstrate Collaboration Skills
This position requires close collaboration with various teams. Think of instances where you've successfully worked with product management, engineering, or sales teams to deliver solutions. Be prepared to share how you navigated any challenges and maintained alignment in fast-paced environments.
✨Prepare for Technical Questions
Expect to face technical questions related to infrastructure design and deployment. Brush up on your knowledge of cloud platforms like AWS, Azure, and Google Cloud, as well as orchestration tools like Kubernetes. Being able to discuss these topics confidently will set you apart from other candidates.
