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Remote Nvidia Deep Learning Jobs in California (NOW HIRING)

Senior Software and System Architect

Santa Clara, CA · Remote

$152K - $206K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Deep knowledge of and experience with C and Python * Hands-on Linux development experience * Cloud ...

Staff Machine Learning Scientist

Brisbane, CA · On-site +1

$199K - $283K/yr

... with deep learning (DL) methods, a track record of successfully using these methods to answer ... remote. What you'll do: * Independently pursue cutting edge research in AI applied to biological ...

We are a team of more than 175 people working in a hybrid-remote environment across North America ... Port and optimize deep learning models for ARM64, CUDA, TensorRT, ONNX, and NVIDIA Jetson platforms.

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Remote Nvidia Deep Learning information

What is the difference between Remote Nvidia Deep Learning vs Remote Machine Learning Engineer?

AspectRemote Nvidia Deep LearningRemote Machine Learning Engineer
Required CredentialsDeep learning certifications, Nvidia GPU expertise, programming skills in Python and CUDAMachine learning certifications, Python, data analysis, model deployment skills
Work EnvironmentRemote, GPU-intensive tasks, AI research, model trainingRemote, data processing, model development, deployment
Industry UsageAI research labs, tech companies, autonomous vehiclesTech firms, finance, healthcare, e-commerce

Remote Nvidia Deep Learning focuses on developing AI models using Nvidia GPUs and CUDA, often in research or AI-specific roles. Remote Machine Learning Engineers work on building and deploying machine learning models across various industries. While both roles require programming and data skills, Nvidia Deep Learning emphasizes GPU expertise and AI research, whereas Machine Learning Engineers focus on broader model deployment and application.

What are the most commonly searched types of Nvidia Deep Learning jobs in California? The most popular types of Nvidia Deep Learning jobs in California are:
What job categories do people searching Remote Nvidia Deep Learning jobs in California look for? The top searched job categories for Remote Nvidia Deep Learning jobs in California are:
What cities in California are hiring for Remote Nvidia Deep Learning jobs? Cities in California with the most Remote Nvidia Deep Learning job openings:

Global Head of Business Development, Digital Health

Nvidia

Santa Clara, CA • On-site, Remote

Full-time

Re-posted 9 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies


Job description

Join our team and help shape a lasting impact on the world. NVIDIA is the engine of modern artificial intelligence-the most significant technology breakthrough of our time-and is redefining the healthcare landscape. Our accelerated computing platforms and services are empowering breakthroughs that are transforming every aspect of the healthcare industry. We are seeking a dynamic and experienced Senior Director of Business Development to lead our efforts in the rapidly evolving digital health ecosystem. This role is critical to driving NVIDIA's growth and strengthening our leadership across the healthcare and life sciences sectors.

Your mission is to drive NVIDIA's revenue growth and platform adoption across the global health technology, government, payor, and provider ecosystem. You will define and position healthcare solutions built on NVIDIA platforms in collaboration with our ISV and partner ecosystem. This role requires strong executive leadership, deep domain expertise, and established relationships within the segment. You will work closely with senior business development, product, and sales leaders to ensure alignment, build pipeline, and accelerate NVIDIA adoption and consumption. The ideal candidate thrives in a fastpaced, highgrowth environment and brings a proven track record of impactful leadership within sales or business development organizations.

What you'll be doing:

  • Develop, build and implement the growth strategy for digital health ecosystem.

  • Collaborate with top leadership across the company to align and implement a multi-pronged go-to-market strategy

  • Partner closely with product teams to develop and package healthcare specific solutions.

  • Develop a successful partnership with digital health platform and organizations for mutual performance objectives, targets, and breakthroughs associated with a successful relationship.

  • Lead and support sales execution in partnership with our regional sales teams. Discover, develop, and nurture key customers relationships/Light House Accounts.

  • Engage, enable, and energize channel sales teams including global system integrators, public cloud service providers to deliver joint go-to-market initiatives in a win-win-win situation

  • Support sales critical issues, partner/channel dynamics and related business issues.

  • Drive and track 4 quarters business on assigned responsibility.

What we need to see:

  • 18+ overall years of sales or business development experience in Biopharma technology with proven track record running an overlay sales organization.

  • 7+ years of team management experience.

  • Master's degree (or equivalent experience) and/or MBA is desirable.

  • Deep understanding of applications and workflows bringing to bear data processing, machine learning, generative AI and agentic frameworks in addition to have welldeveloped relationships with executive leaders across the pharmaceutical and biotechnology sectors.

  • Demonstrated experience with sell-to and sell-through the healthcare ecosystem

  • Have a global client contact base, deep domain expertise, and sales and buying practices.

  • Shown success of building positive partnerships with large organizations with a consistent track record of sales execution overachievement.

  • Knowledge of enterprise computing software and services pricing strategies, channel economics, and hybrid computing platforms both on-prem and cloud offerings

  • Lead & empower a virtual team of sales managers (and help recruit the best talent).

  • Proven experience related to global partnerships and establishing joint sales models and metrics as well as proven efficiency in navigating highly matrixed organizations and leading complex deal structures and strategic alliances.

  • Proficient in developing and driving go-to-market strategies.

  • Able to travel ~25%+

Ways to stand out from the crowd:

  • Providing inspirational leadership and driving organization growth and change.

  • Can compose and present sophisticated marketing and technical content.

  • Concrete examples of influencing business practices and products to better align with customer needs.

  • 15+ years of proven experience in qualifying new customers to enable revenue opportunities, product alignment, and decisions.

Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 332,000 USD - 500,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 1, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993