Senior Application Engineer
NVIDIA · Germany
- Hybrid
- Full-time
- $150,000 / year
- Germany
Job highlights
- Engineer AI models for materials and chemical discovery.
- Collaborate with customers and partners on AI solutions.
- Optimize AI models using NVIDIA hardware and software.
- Benchmark AI models for materials science applications.
- Present expertise at industry workshops and events.
About the role
About the Role
NVIDIA is seeking a Senior Application Engineer for technical collaboration on Materials and Chemical Discovery using AI. Sr Application Engineers are drawn from elite developers and scientists who enjoy working with the latest in GPU hardware and AI Models. An ideal candidate is someone who is entrepreneurial, self-motivated, creative, and passionate about bringing the latest techniques to customers who want to accelerate the discovery of novel materials using Predictive AI or Generative AI. The discovery of new materials and chemicals is one of the core workloads across a broad range of customers including supercomputing, higher education, manufacturing, semiconductors, agriculture, etc. As a Sr. Application Engineer, you will be part of the team comprising Product Managers and Strategic Alliance Partners, working directly with customers.What You Will Be Doing
- Work directly with developers and researchers who are building, fine-tuning, or optimizing AI models for Chemistry and Material discovery.
- Collaborate with publishers of open-source applications, datasets, and frameworks used for AI Driven Chemical and Materials discovery and display their ability to use NVIDIA ALCHEMI.
- Profile, benchmark, and suggest optimization strategies to developers building AI models and Agentic AI workflows for discovering novel materials and formulations.
- Present at workshops as the domain expert.
What We Need To See
- Degree in Chemistry, Material Science, or related field (Ph.D. or Masters preferred) or equivalent experience.
- 4+ years of experience with developing or using AI models for chemistry and material discovery using popular deep learning frameworks on CPUs and GPUs.
- Proven ability to benchmark and compare domain-specific AI Models for Materials discovery.
- Strong written and oral communication skills with the ability to effectively articulate the value proposition to technical and non-technical audiences.
Ways To Stand Out From The Crowd
- Experience with using AI frameworks e.g. PyTorch, JAX.
- Background in the development of chemistry/materials simulation software packages, machine learning interatomic potentials (MLIP) design, or generative AI for chemistry/material science.
- Knowledge about NVIDIA GPU and CUDA-X libraries.
- AI Models
- Materials Discovery
- Chemical Discovery
- Predictive AI
- Generative AI
- GPU Hardware
- Deep Learning Frameworks
- Benchmarking
- Optimization Strategies
- NVIDIA ALCHEMI
Skills & topics
- Senior Application Engineer
- AI
- Materials Science
- Chemistry
- GPU
- Deep Learning
- NVIDIA
- Predictive AI
- Generative AI
- Optimization
How to get hired
- Tailor your resume: Highlight your AI, materials science, and GPU computing experience.
- Showcase your AI skills: Emphasize experience with PyTorch, JAX, and deep learning frameworks.
- Demonstrate domain expertise: Detail your work in materials/chemical discovery and model benchmarking.
- Prepare for technical questions: Be ready to discuss AI model optimization and NVIDIA technologies.
- Research NVIDIA's culture: Understand their focus on innovation and customer collaboration.
Technical preparation
Master deep learning frameworks like PyTorch and JAX.,Understand GPU architecture and CUDA programming.,Practice AI model profiling and optimization techniques.,Familiarize yourself with chemistry/materials simulation software.
Behavioral questions
Describe a complex AI project you led.,How do you handle technical challenges with customers?,Share an instance of driving innovation.,How do you stay updated on AI advancements?
Frequently asked questions
- What is the primary focus of the Senior Application Engineer role at NVIDIA?
- The Senior Application Engineer role at NVIDIA focuses on technical collaboration for Materials and Chemical Discovery using AI. This involves working with customers to accelerate the discovery of novel materials through Predictive AI or Generative AI, leveraging NVIDIA's GPU hardware and AI models.
- What qualifications are essential for this Senior Application Engineer position?
- Essential qualifications include a degree in Chemistry, Material Science, or a related field (Ph.D. or Masters preferred), or equivalent experience. You'll also need over 4 years of experience in developing or using AI models for chemistry and material discovery with deep learning frameworks on CPUs and GPUs, and proven ability to benchmark domain-specific AI models.
- How does NVIDIA use AI for Materials Discovery?
- NVIDIA utilizes AI for Materials Discovery by enabling customers to accelerate the process of finding new materials and chemicals. This is achieved through Predictive AI and Generative AI techniques, optimized and run on NVIDIA's advanced GPU hardware and software platforms like ALCHEMI.
- What kind of customers does NVIDIA work with for Materials Discovery?
- NVIDIA works with a broad range of customers in areas such as supercomputing, higher education, manufacturing, semiconductors, and agriculture, all of whom are looking to leverage AI to accelerate the discovery of novel materials and chemicals.
- What are the key responsibilities of a Senior Application Engineer at NVIDIA?
- Key responsibilities include collaborating with developers and researchers on AI models for chemistry and material discovery, working with open-source application publishers, profiling and optimizing AI models, and presenting as a domain expert at workshops.
- What programming frameworks and technologies are important for this role?
- Experience with AI frameworks like PyTorch and JAX is highly valued. Knowledge of NVIDIA GPUs and CUDA-X libraries is also a significant advantage, as is background in chemistry/materials simulation software, MLIP design, or generative AI for these fields.
- How can I best prepare my application for the Senior Application Engineer role at NVIDIA?
- To best prepare your application, tailor your resume to highlight your AI, materials science, and GPU computing experience. Emphasize your proficiency with relevant AI frameworks and demonstrate your domain expertise in materials discovery and model benchmarking. Be ready to discuss technical aspects of AI model optimization.