Full-Time

Senior Solutions Architect

Healthcare and Life Sciences

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

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

You match the following NVIDIA's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
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 main products are GPUs that enhance gaming experiences and support professional applications, along with AI and high-performance computing platforms tailored for developers and data scientists. NVIDIA stands out from competitors by offering a combination of hardware and software solutions, including cloud-based services like NVIDIA CloudXR and NGC, which enable scalable applications in AI and machine learning. The company's goal is to drive innovation in technology and provide advanced solutions that cater to a wide range of clients, from gamers to enterprises.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of VinBrain enhances NVIDIA's AI-driven healthcare solutions.
  • Investment in Nebius Group boosts NVIDIA's AI infrastructure capabilities.
  • Partnership with Serve Robotics aligns with NVIDIA's focus on robotics and AI applications.

What critics are saying

  • Increased competition from AI startups like xAI challenges NVIDIA's market position.
  • Serve Robotics' rapid expansion may lead to financial strain if market growth lags.
  • Integration challenges from VinBrain acquisition may affect NVIDIA's operational efficiency.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
  • The Omniverse platform enhances NVIDIA's capabilities in industrial AI and digital twins.
  • NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Company Equity

401(k) Company Match