Full-Time

Senior Solutions Architect

Healthcare and Life Sciences

Posted on 1/23/2025

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Compensation Overview

$148k - $287.5kAnnually

+ Equity

Senior

Company Historically Provides H1B Sponsorship

Remote in USA + 1 more

More locations: Remote in Canada

Candidates are preferred from the US or Canada, particularly Massachusetts and California.

Category
Solution Engineering
Sales & Solution Engineering
Required Skills
Python
CUDA
Machine Learning
C/C++
Linux/Unix
Requirements
  • MS or PhD in Computational Biology, Computational Chemistry, Computational Physics, Chemical Engineering, Biophysics, or Computer Science with strong applied experience in these domains (or equivalent experience)
  • 5+ years of work-related experience in software development of deep learning methods for scientific applications
  • 3+ years of work-related experience with Deep Learning software architecture and frameworks and application to scientific questions
  • Full-stack scientific computing experience including software development in scientific programming languages, such as Python, C/C++, and/or CUDA
  • Proficient in the Linux/GNU toolchain and operating as a user in HPC cluster environments
  • Background in molecular modeling and life sciences
  • Excellent communication skills particularly in the presentation of highly technical material. Must enjoy interacting with forward-thinking people, life-long learning, and staying at the forefront of the domain.
Responsibilities
  • Partner with our business / account team working with customers to develop a keen understanding of their goals, strategies, and technical needs as well as help to define and deliver high-value solutions meeting these needs
  • Staying up on the state of the art in the production Deep Learning and Machine Learning Ecosystem. You'll be called on to help architect and scale high-performance, distributed, AI deployments that are built on the latest NVIDIA GPU supercomputers
  • Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard
  • Be an industry leader with vision on integrating NVIDIA technology into AI and HPC architectures for advanced applications, such as medical imaging or drug discovery
  • Strategically partner with lighthouse customers and industry-specific solution partners targeting our computing platform
  • 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.
Desired Qualifications
  • Demonstrated work in Deep-learning-at-scale, cheminformatics, bioinformatics, drug discovery. Experience with molecular dynamics, docking, electronic structure methods, or major projects related to drug discovery are a plus
  • Experience in the pharmaceutical industry or with customers/partners in the pharmaceutical domain
  • Cloud platform expertise on AWS, Azure and/or GCP
  • Significant deep learning experience with healthcare data
  • Published record of thought leadership in a technical area or industry segment

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a highly competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of Augtera Networks boosts NVIDIA's networking capabilities and Spectrum-X portfolio.
  • Growing demand for NVIDIA GPUs in AI acceleration suggests potential market growth.
  • NVIDIA's support for AI-driven robotics solutions opens new market opportunities.

What critics are saying

  • Increased competition from Lambda's AI Cloud Platform challenges NVIDIA's market position.
  • Edge AI technologies may reduce demand for NVIDIA's cloud-based AI solutions.
  • Regulatory challenges in robot delivery services could impact NVIDIA's investment returns.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU technology.
  • The company excels in diverse markets: gaming, data centers, and autonomous vehicles.
  • NVIDIA's Omniverse platform enhances industrial AI applications and digital twin technology.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-1%
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