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- Tasks: Guide customers in AI adoption for computational chemistry and material science.
- Company: Join NVIDIA, a leader in AI technology and innovation.
- Benefits: Competitive salary, diverse work environment, and opportunities for growth.
- Why this job: Be at the forefront of AI advancements and make a real impact.
- Qualifications: MS/PhD in relevant fields with 5+ years of AI/ML experience.
- Other info: Collaborative culture with opportunities to engage with top industry professionals.
The predicted salary is between 36000 - 60000 £ per year.
Join our team as a Solutions Architect in EMEA, where you will collaborate with Consumer-Packaged Goods (CPG) and Material Science customers focusing on the ground-breaking potential of AI for computational chemistry and material science. At NVIDIA, we have a group of exceptional developers and scientists who thrive on working with the latest GPU hardware and software. Our platform for ML/AI and high-performance computing has already had a significant impact on the industry, serving leading CPG companies, ISVs, and start-ups. We are seeking an enthusiastic individual to join us in exploring new opportunities in the AI-powered revolution in the field of computational chemistry.
As a Solution Architect, you will work as a trusted technical advisor to our customers, who envision accelerated computing and artificial intelligence as a transformative force in their field. Join us on this thrilling journey and advance your career while empowering top organizations and institutions worldwide.
What You Will Be Doing
- Guide customers through the end-to-end process of AI adoption—from requirements gathering and proof-of-concept development to deployment, integration, benchmarking and ongoing optimization.
- Collaborate with our business/account team to identify technical needs, customer goals, and strategies.
- Enable customer adoption of NVIDIA technology by mapping our solutions to their use cases and driving positive relationships with our technology partners.
- Keep up to date on AI advancements in the domain including AI techniques, foundation models for material science and computational chemistry, as well as relevant NVIDIA technology that enables this innovation.
- Engage with developers, researchers, data scientists, IT managers, and senior leaders internally and externally to gain experience in various technical areas.
- Document what you know and teach others, from building targeted training for partners and other Solutions Architects to writing white-papers, blogs, wiki articles, or working through hard problems with a customer on a whiteboard.
- Some travel is required for this role; you are empowered to find the best way to get your job done and make our customers successful.
What We Need To See
- MS or PhD (or equivalent experience) in Computer Science, Computational Chemistry, Material Science or Computational Physics, or related fields with strong applied experience in these domains.
- 5+ years of work-related experience with hands-on expertise in AI/ML for chemistry or material sciences.
- Proven experience with Python and AI/ML frameworks (PyTorch, Langchain, or custom framework) and application to scientific questions.
- Strong time-management and organizational skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very complex projects.
- Motivated self-starter with a balance of problem-solving skills and customer-facing communication skills—especially in presenting complex technical information.
- Must enjoy engaging with innovative individuals, continuous learning, and staying at the forefront of the field.
Ways To Stand Out From The Crowd
- Experience building, deploying, and optimizing AI systems for chemistry and materials science end-to-end, including data ingestion, preprocessing, model training, pipeline deployment and evaluation.
- Hands-on experience with CUDA and PyTorch.
- Experience developing or using Machine Learning Interatomic Potential (MLIP) models for chemical and materials discovery.
- Working knowledge running MD and DFT simulations.
- Familiarity with Graph Neural Networks (GNNs) for property prediction of molecules, polymers, and formulations, or experience in the CSP industry or established thought leadership through publications or presentations on AI/ML applications in chemistry and materials science.
NVIDIA is committed to fostering a diverse work environment and is a proud equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is widely considered to be one of the technology world’s most desirable employers. If you are passionate about NVIDIA technology and how it can unlock Digital Biology, we want to hear from you!
Solution Architect – Computational Chemistry and Material Science employer: Nvidia
Contact Detail:
Nvidia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solution Architect – Computational Chemistry and Material Science
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or conferences related to AI and computational chemistry. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI/ML in chemistry or material science. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨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 share your enthusiasm for the position. It’s a great way to make a memorable impression.
✨Tip Number 4
Keep learning! Stay updated on the latest trends in AI and computational chemistry. Join online courses or read up on recent advancements. This not only boosts your knowledge but also shows employers that you’re committed to growth in your field.
We think you need these skills to ace Solution Architect – Computational Chemistry and Material Science
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Solution Architect role. Highlight your experience in computational chemistry and material science, and don’t forget to showcase your hands-on expertise with AI/ML frameworks like PyTorch.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background aligns with our mission at NVIDIA. Be sure to mention any relevant projects or experiences that demonstrate your skills.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in the past. We love seeing candidates who can think critically and creatively, especially when it comes to AI adoption in chemistry and materials science.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Nvidia
✨Know Your Stuff
Make sure you brush up on your knowledge of AI/ML frameworks, especially PyTorch and CUDA. Be ready to discuss how you've applied these technologies in computational chemistry or material science. Having specific examples from your past work will show that you’re not just familiar with the concepts but have real-world experience.
✨Understand the Role
Dive deep into the job description and understand what a Solution Architect does at NVIDIA. Familiarise yourself with the end-to-end process of AI adoption and be prepared to discuss how you would guide customers through this journey. Showing that you grasp the nuances of the role will set you apart.
✨Engage with Enthusiasm
NVIDIA values passion and enthusiasm for technology. During the interview, express your excitement about AI's potential in computational chemistry and material science. Share your thoughts on recent advancements in the field and how they could impact the industry. This will demonstrate your genuine interest and commitment.
✨Prepare for Technical Questions
Expect to face technical questions that assess your problem-solving skills and understanding of complex concepts. Practice explaining your thought process clearly and concisely. You might even want to prepare a few whiteboard exercises to showcase your ability to tackle hard problems, as this is part of the role.
