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- Tasks: Enable customer productivity and develop relationships with technology partners in financial services.
- Company: NVIDIA, a leader in AI computing and innovation.
- Benefits: Competitive salary, extensive benefits, and a flexible work environment.
- Why this job: Join a team driving breakthroughs in AI and make a real impact.
- Qualifications: Experience in machine learning, financial services, and strong programming skills.
- Other info: Dynamic workplace promoting diversity, inclusion, and career growth.
The predicted salary is between 80000 - 100000 ÂŁ per year.
We are looking for an individual who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. Your duties will vary from working on proof‑of‑concept demonstrations to driving relationships with key technical leads and developers to ensure successful adoption of NVIDIA-based AI technology. Engaging with developers, quants, data scientists, and senior leaders is a significant part of the Solutions Architect role.
What you’ll be doing:
- FSI Strategic Engagement: Work with financial institutions and their technology ecosystem to leverage NVIDIA’s advanced technologies.
- Algorithmic & SDK Guidance: Guide customers in implementing next‑generation model distillation, domain adaptation, reinforcement learning (RL), and post‑training algorithms by helping them adopt NVIDIA AI SDKs and APIs.
- Collaborative Innovation: Work closely with product management, engineering, applied research, and sales teams to develop and deliver comprehensive solutions.
- Technical Advocacy: Improve NVIDIA products and build creative solutions to overcome scaling challenges at the intersection of computer architecture, libraries, and AI applications.
- Knowledge Sharing: Contribute to the wider organization and community by sharing your expert knowledge, contributing to open‑source projects, or delivering hands‑on training.
- Enterprise Impact: Be part of the team that helps bring NVIDIA technology to life in the Enterprise, acting as the face and trusted expert advisor that our customers and partners rely on.
Qualifications:
- BS, MS, or PhD degree in Machine Learning, Computer Science, Engineering, Mathematics, Physics, or a related technical field.
- Financial Services Background: Proven experience working within Financial Services firms.
- AI Framework Expertise: 5+ years of experience with AI frameworks such as PyTorch, JAX, or TensorFlow, and libraries like Hugging Face Transformers.
- Programming Proficiency: Strong Python programming, software design, and debugging skills.
- Parallelism & CUDA: Deep understanding of distributed computing and parallelism methodologies (model and data parallelism) coupled with a good understanding or hands‑on experience with CUDA.
- Model Lifecycle: Experience with AI model lifecycle components, including pre‑training, supervised fine‑tuning, and model evaluation.
- Adaptability: Capable of working in a constantly evolving environment and quickly adapting to change.
- Communication: Clear written and oral communication skills with the ability to effectively collaborate with executives and engineering teams.
Ways to stand out from the crowd:
- Advanced CUDA: Deep expertise in writing and optimizing code for training and/or inference specifically for NVIDIA GPUs.
- NVIDIA AI Enterprise: Experience with or contributions to NVIDIA deep learning frameworks, particularly NeMo, Megatron Core, or NeMo‑RL.
- Financial Workloads: Demonstrated understanding of how GPU acceleration can be applied specifically to financial workloads (e.g., algorithmic trading, risk modeling).
- Large‑Scale Training: Hands‑on experience in large‑scale foundation model training, accuracy, and performance profiling.
- Tooling & Orchestration: Experience with distributed computing tools like SLURM and Kubernetes for training large models on GPUs.
About NVIDIA: NVIDIA is a world leader in AI computing. Our innovations are transforming industries and powering the era of AI and accelerated computing. At NVIDIA, we believe in creating solutions that improve lives and contribute to a more sustainable future. Solutions Architects are trusted technical advisors to our customers; we work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence! NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High‑Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. 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.
Solution Architect, Financial Services in Newtown employer: Nvidia
Contact Detail:
Nvidia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solution Architect, Financial Services in Newtown
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the financial services and AI space. Attend meetups, webinars, or industry events where you can chat with potential colleagues and partners. Remember, it’s all about building those relationships!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving NVIDIA technologies or AI frameworks. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Don’t just apply; engage! When you find a role that excites you, reach out to current employees on LinkedIn. Ask them about their experiences and what they love about working there. This not only shows your interest but can also give you insider tips for your interview.
✨Tip Number 4
Keep learning and sharing! Stay updated on the latest trends in AI and financial services. Join online communities, contribute to open-source projects, or even write articles. This will not only enhance your knowledge but also position you as a thought leader in the field.
We think you need these skills to ace Solution Architect, Financial Services in Newtown
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Solution Architect role. Highlight your expertise in AI frameworks and any relevant financial services experience to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how your background makes you a perfect fit for NVIDIA. Be sure to mention specific projects or achievements that showcase your skills.
Showcase Your Technical Skills: Don’t hold back on your technical prowess! Include details about your programming skills, especially in Python, and any hands-on experience with CUDA or distributed computing tools. We love seeing real-world applications of your knowledge.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the NVIDIA team!
How to prepare for a job interview at Nvidia
✨Know Your Tech Inside Out
Make sure you’re well-versed in NVIDIA’s AI frameworks like PyTorch, JAX, and TensorFlow. Brush up on your knowledge of CUDA and parallel computing, as these are crucial for the role. Being able to discuss specific projects or experiences where you've applied these technologies will really impress.
✨Showcase Your Financial Services Experience
Since this role is heavily focused on financial services, be prepared to share examples of how you've worked with financial institutions. Highlight any projects that involved algorithmic trading or risk modelling, and explain how you leveraged technology to solve real-world problems in that sector.
✨Demonstrate Collaborative Spirit
This position requires working closely with various teams, so be ready to talk about your experience in collaborative environments. Share stories that illustrate your ability to engage with product management, engineering, and sales teams to deliver comprehensive solutions.
✨Communicate Clearly and Confidently
Strong communication skills are key for this role. Practice articulating complex technical concepts in a way that’s easy to understand. Be prepared to answer questions from both technical and non-technical stakeholders, showcasing your ability to adapt your communication style.