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Remote Nvidia Engineering Jobs in Minnesota (NOW HIRING)

Remote Nvidia Engineering information

What are the key skills and qualifications needed to thrive as a Remote Nvidia Engineer, and why are they important?

To excel as a Remote Nvidia Engineer, you typically need a strong background in computer engineering, programming (e.g., C++, Python), and experience with GPU architectures, often supported by a relevant degree. Familiarity with Nvidia tools like CUDA, cuDNN, and deep learning frameworks, as well as proficiency in remote collaboration platforms, are crucial. Strong problem-solving skills, self-motivation, and effective communication are vital soft skills for working independently and collaborating across distributed teams. These competencies ensure efficient development, troubleshooting, and innovation in Nvidia's complex, high-performance computing environments.

What are some common challenges faced by engineers working remotely for Nvidia, and how can they be overcome?

Remote engineers at Nvidia often encounter challenges related to communication across time zones, staying aligned with fast-paced project developments, and maintaining visibility within distributed teams. To overcome these, it's important to proactively engage in virtual meetings, leverage collaboration tools like Slack and Jira, and regularly update your team on progress. Building strong relationships with peers and seeking out mentorship opportunities can also help remote engineers stay connected and advance within the company.

What is a Remote Nvidia Engineer?

A Remote Nvidia Engineer is a professional who works for Nvidia, or with Nvidia technologies, from a location outside of a traditional office setting. These engineers may specialize in areas such as GPU development, AI research, software engineering, or hardware design, and they collaborate with teams virtually. Remote Nvidia Engineers use digital tools to communicate, manage projects, and contribute to cutting-edge technologies in graphics processing, artificial intelligence, and computing platforms. The remote aspect allows for flexible work arrangements and the ability to participate in global projects.

What is the difference between Remote Nvidia Engineering vs Remote Nvidia Data Scientist?

AspectRemote Nvidia EngineeringRemote Nvidia Data Scientist
Required CredentialsBachelor's in Engineering, Computer Science, or related field; experience with GPU programmingBachelor's or higher in Data Science, Statistics, or related; proficiency in machine learning and data analysis
Work EnvironmentDesign, develop, and optimize GPU hardware/software; collaborative teamsAnalyze large datasets, develop models, and generate insights; often cross-functional teams
Employer & Industry UsagePrimarily in hardware, AI, and high-performance computing sectorsPrimarily in AI, analytics, and research sectors

Remote Nvidia Engineering focuses on hardware and software development for GPUs, requiring engineering credentials and technical skills. Remote Nvidia Data Scientists analyze data and build models, requiring expertise in data science. Both roles are remote, but they serve different functions within Nvidia's ecosystem.

What are the most commonly searched types of Nvidia Engineering jobs in Minnesota? The most popular types of Nvidia Engineering jobs in Minnesota are:
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Customer Success Executive - Payors

Hippocratic AI

Minneapolis, MN • Remote

$125K - $180K/yr

Other

Posted yesterday


Job description

About Us
Hippocratic AI is the leading generative AI company in healthcare. We have the only system that can have safe, autonomous, clinical conversations with patients. We have trained our own LLMs as part of our Polaris constellation, resulting in a system with over 99.9% accuracy.
Why Join Our Team
Reinvent healthcare with AI that puts safety first. We're building the world's first healthcareonly, safetyfocused LLM - a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation.
Work with the people shaping the future. Hippocratic AI was cofounded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.
Backed by the world's leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children's, WellSpan Health, John Doerr, Rick Klausner, and others.
Build alongside the best in healthcare and AI. Join experts who've spent their careers improving care, advancing science, and building worldchanging technologies - ensuring our platform is powerful, trusted, and truly transformative.
About the Role
We are seeking a Customer Success Executive with deep payor experience to join our growing team. In this role, you will ensure our health plan clients achieve measurable outcomes through the deployment of Hippocratic AI's innovative solutions. You will partner directly with the Chief Customer Officer and play a key role in customer satisfaction, retention, and expansion across our payer portfolio.
Location & Travel
  • This role is remote. Regular travel to client sites and periodic sessions at our Palo Alto headquarters will be required.
  • Candidate must be willing to travel 25-50%
What You'll Do
  • Serve as the primary point of contact for payer organizations, building trusted relationships with stakeholders across clinical operations, utilization management, care management, and executive leadership.
  • Lead onboarding and implementation efforts for AI-driven products, ensuring alignment with payer workflows in areas such as prior authorization, case management, member services, and provider engagement.
  • Drive user adoption by training health plan staff on solution functionality and demonstrating real-world applications that support operational goals.
  • Identify and validate opportunities to improve cost efficiency, member outcomes, and administrative throughput using Hippocratic AI's capabilities.
  • Manage ongoing client communications, proactively addressing issues, gathering feedback, and translating needs into product and engineering insights.
  • Define success metrics tailored to payer use cases, such as turnaround time improvements, staffing efficiency, and member or provider satisfaction.
  • Partner with internal teams to ensure product performance meets client expectations and aligns with regulatory and compliance standards.
    Participate in industry forums, conferences, and webinars to share best practices and thought leadership around AI in payer operations.
  • This role requires a minimum of 25-50% travel, which may include overnight or out-of-state trips.
What You Bring
Must-Have:
  • A minimum of 5 years working with or within health plans (e.g., Medicare Advantage, Medicaid MCOs, Blues plans, national or regional payers).
  • Proven experience in customer success, account management, payer operations, or implementation roles.
  • Deep understanding of payer workflows across departments like utilization management, care management, member services, and provider operations.
    Ability to build trusted relationships across payer orgs, from frontline case managers to senior executives.
  • Experience working cross-functionally in fast-paced environments, especially in high-growth or startup settings.
  • Strong organizational and project management skills.
  • Ability to satisfy client-specific credentialing requirements, including drug screening and proof of required vaccinations or immunizations, as mandated by the healthcare facilities where you will be deployed.
Nice-to-Have:
  • Experience supporting AI, automation, or SaaS solutions in the payer space.
  • Familiarity with prior auth workflows, delegated risk arrangements, value-based care programs, or member engagement initiatives.
  • Knowledge of payer-specific compliance and regulatory frameworks (e.g., CMS, NCQA, HIPAA).

Compensation:
Total compensation for this role ranges from $125,000 to $180,000, which includes base salary and performance bonus.
Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process.