[Remote] Solutions Architect - Deep Learning for Drug Discovery at NVIDIA

Massachusetts, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Biopharma, Pharmaceuticals, Healthcare, Life SciencesIndustries

Requirements

MS or PhD (or equivalent experience) in Computer Science, Computational Biology, Computational Chemistry, Computational Physics, Chemical Engineering, Biophysics with strong applied experience in these domains
5+ years of work-related experience in software development of deep learning or GPU acceleration methods for scientific applications
3+ years of work-related experience with deep learning software architecture and frameworks or high performance computing applications
Proficient in the Linux/GNU toolchain and operating as a user in HPC cluster environments
Full-stack scientific computing experience including software development in scientific programming languages, such as Python, C/C++, and/or CUDA
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 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
Stay up on the state of the art in production deep learning and machine learning methods
Architect and scale high-performance, distributed AI deployments built on the latest NVIDIA GPU supercomputers
Document what you know and teach others, including building targeted training for partners and other Solutions Architects, writing whitepapers, blogs, and wiki articles, or 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
Use conferencing tools heavily, with some travel required

Skills

Key technologies and capabilities for this role

Deep LearningMachine LearningHigh-Performance ComputingDistributed SystemsGPU ComputingAI DeploymentsNVIDIA GPUsComputational BiologyDrug Discovery

Questions & Answers

Common questions about this position

What education and experience are required for this Solutions Architect role?

Candidates need an MS or PhD (or equivalent experience) in Computer Science, Computational Biology, Computational Chemistry, Computational Physics, Chemical Engineering, or Biophysics, plus 5+ years in software development of deep learning or GPU acceleration for scientific applications and 3+ years with deep learning software architecture or HPC.

Is this position remote or does it require travel?

The role makes heavy use of conferencing tools but requires some travel.

What salary or compensation does this role offer?

This information is not specified in the job description.

What does the team environment look like at NVIDIA for this position?

Solutions architects are elite developers and scientists who thrive in a fast-paced environment, collaborating with business teams, pharmaceutical companies, biotechs, and research organizations.

What makes a strong candidate for this Solutions Architect position?

A strong candidate has proficiency in the Linux/GNU toolchain, experience operating in HPC cluster environments, and full-stack scientific computing experience including software development, along with a passion for AI and computational science in life sciences.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

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 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.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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