Technical Marketing Engineer - NVIDIA ALCHEMI

Position Overview

• Location Type: Not specified
• Job Type: Full-time
• Salary: $124,000 - $230,000 USD (base salary, determined by location, experience, and pay of similar positions)
• Additional Compensation: Eligible for equity and benefits.

NVIDIA is seeking a Technical Marketing Engineer (TME) to drive deep technical engagements with partners and customers focused on AI-driven Materials and Chemical Discovery using NVIDIA ALCHEMI. TMEs are experienced developers and scientists who are passionate about leveraging the latest GPU hardware and software. The ideal candidate is entrepreneurial, self-motivated, creative, and eager to introduce cutting-edge techniques to customers aiming to accelerate the discovery of novel materials through Predictive AI or Generative AI. The discovery of new materials and chemicals is a critical workload across various customer segments, including supercomputing, higher education, manufacturing, semiconductors, and agriculture. As a TME, you will collaborate with Product Managers, Strategic Alliance Partners, and customers.

Responsibilities

• Work directly with customers and developers to guide them on using and integrating NVIDIA ALCHEMI into their workflows.
• Profile applications and conduct benchmarks to demonstrate the product’s value proposition.
• Build examples and sample applications for tutorials.
• Collaborate with subject matter experts on whitepapers and with marketing on blog posts.
• Develop demos to showcase product features.

Requirements

• Degree in Chemistry, Material Science, or a related field (Ph.D. or Masters preferred), or equivalent experience.
• 4+ years of experience in developing or using AI models for chemistry and material discovery with popular deep learning frameworks on CPUs and GPUs.
• Proven ability to benchmark or build compelling examples that showcase product benefits to customers.
• Strong written and oral communication skills, with the ability to effectively articulate the value proposition to both technical and non-technical audiences.

Ways to Stand Out

• Experience developing chemistry or material science applications in C/C++, CUDA, Fortran, or Python.
• Background in the development of chemistry/materials simulation software packages, machine learning interatomic potentials (MLIP) design, or generative AI for chemistry/material science.
• Hands-on approach to problem-solving and building customer-friendly products.

Application Instructions

NVIDIA accepts applications on an ongoing basis.

Company Information

NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) 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.