ZipRecruiter

Log In

2

Remote Nutanix Jobs (NOW HIRING)

Hugging Face

Cloud ML DevRel Engineer - US remote

New York, NY · On-site +1

$61 - $81.50/hr

... Nutanix), to make it easy for the community to run Hugging Face models and libraries on these ... We offer flexible working hours and remote options. We offer health, dental, and vision benefits ...

Hugging Face

Cloud ML DevRel Engineer - US remote

New York, NY · On-site +1

$61 - $81.50/hr

... Nutanix), to make it easy for the community to run Hugging Face models and libraries on these ... We offer flexible working hours and remote options. We offer health, dental, and vision benefits ...

Peraton

Systems Architect (Senior)

$104K - $166K/yr

This position is remote and requires an active Secret clearance. * Provide enterprise systems ... Active Directory/Azure AD, Microsoft Entra ID, Group Policy, SCCM/WSUS, VMware vSphere/Nutanix ...

Peraton

Systems Architect (Senior)

$104K - $166K/yr

This position is remote and requires an active Secret clearance. * Provide enterprise systems ... Active Directory/Azure AD, Microsoft Entra ID, Group Policy, SCCM/WSUS, VMware vSphere/Nutanix ...

Fabletics

DevOps Engineer II

$120K - $140K/yr

Design, deploy, and maintain Kubernetes clusters across Amazon EKS and NKP (Nutanix Kubernetes ... This role is remote-friendly, with headquarters based in El Segundo, CA What We Offer * A high ...

AnaVation

Full Stack Developer

Chantilly, VA · On-site +1

This position allows for 80% remote work, with an on-site requirement of one day per week at either ... Experience working with AWS and Nutanix cloud platforms. Benefits * Generous cost sharing for ...

Hugging Face

Cloud ML DevRel Engineer - US remote

New York, NY · Remote

$57 - $76.25/hr

... Nutanix), to make it easy for the community to run Hugging Face models and libraries on these platforms. These partnerships sit at the core of our strategy as an open platform with no customer lock ...

SHI

Solutions Engineer - Enterprise

Houston, TX · On-site +1

This position is a remote position required to reside in the surrounding Houston, TX area to ... Dell Technologies, NetApp, HPE,Cisco,Pure Storage, Azure, AWS, Veeam, Nutanix - Intermediate

SHI

Solutions Engineer - Enterprise

Afton, TN · On-site +1

This position is a remote position required to reside in the Nashville, TN area to support business ... Dell Technologies, NetApp, HPE,Cisco,Pure Storage, Azure, AWS, Veeam, Nutanix - Intermediate

SHI

Solutions Engineer - Enterprise

Durham, NC · On-site +1

This position is a remote position required to reside in the surrounding Raleigh, NC area to ... Dell Technologies, NetApp, HPE,Cisco,Pure Storage, Azure, AWS, Veeam, Nutanix - Intermediate

SHI

Solutions Engineer - Enterprise

Home, PA · On-site +1

This position is a remote position required to reside in the Philadelphia, PA area to support ... Dell Technologies, NetApp, HPE,Cisco,Pure Storage, Azure, AWS, Veeam, Nutanix - Intermediate

next page

Showing results 1-20

People also search for

All JobsNutanix JobsRemote Nutanix Jobs

Remote Nutanix information

See salary details

$22.5K

$51K

$75.5K

How much do remote nutanix jobs pay per year?

As of May 31, 2026, the average yearly pay for remote nutanix in the United States is $50,969.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $55,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Nutanix Engineer, you need expertise in virtualization, hyperconverged infrastructure, networking, and a strong understanding of Nutanix Enterprise Cloud technologies, typically supported by relevant IT degrees and Nutanix certifications (such as NCP or NCAP). Familiarity with tools like Prism, AHV, VMware, PowerShell, and common monitoring and automation platforms is essential. Strong problem-solving abilities, effective communication, and self-management are crucial soft skills for remote collaboration and customer support. These skills enable engineers to efficiently deploy, troubleshoot, and optimize Nutanix solutions while ensuring smooth remote operations and high client satisfaction.

What are some common challenges faced by Remote Nutanix Engineers, and how can they overcome them?

Remote Nutanix Engineers often encounter challenges such as troubleshooting complex infrastructure issues without onsite access, coordinating with distributed teams across time zones, and ensuring secure remote management of virtualized environments. To address these, engineers rely on robust documentation, remote monitoring tools, and clear communication channels with both technical and non-technical stakeholders. Building strong relationships with team members and proactively participating in virtual meetings can also help ensure smooth collaboration and effective problem resolution.

What are remote Nutanix jobs?

Remote Nutanix jobs are positions where professionals work with Nutanix's cloud computing and hyper-converged infrastructure products from a location outside of a traditional office, typically from home. These roles can include system engineers, administrators, support specialists, consultants, or sales engineers who manage, deploy, or support Nutanix solutions remotely. Working remotely allows for greater flexibility while still collaborating with teams and clients using online tools. These jobs often require strong technical skills in virtualization, storage, and cloud platforms, as well as familiarity with Nutanix software and hardware.

What is the difference between Remote Nutanix vs Remote VMware Engineer?

AspectRemote NutanixRemote VMware Engineer
CertificationsNutanix Certified Professional (NCP), VMware certificationsVMware Certified Professional (VCP), Nutanix certifications
Work EnvironmentData centers, cloud environments, hybrid infrastructureVirtualization environments, data centers, cloud platforms
Industry UsageEnterprise storage, hyper-converged infrastructureServer virtualization, cloud computing

Remote Nutanix and Remote VMware Engineer roles share overlapping skills in virtualization and cloud infrastructure. However, Nutanix focuses on hyper-converged infrastructure solutions, while VMware emphasizes server virtualization. Both roles require similar certifications and are used in enterprise data centers, but their specific technologies and focus areas differ.

More about Remote Nutanix jobs
What cities are hiring for Remote Nutanix jobs? Cities with the most Remote Nutanix job openings:
What are the most commonly searched types of Nutanix jobs? The most popular types of Nutanix jobs are:
What states have the most Remote Nutanix jobs? States with the most job openings for Remote Nutanix jobs include:
What job categories do people searching Remote Nutanix jobs look for? The top searched job categories for Remote Nutanix jobs are:
Remote Nutanix jobs near you
Infographic showing various Remote Nutanix job openings in the United States as of May 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 39% Physical, and 61% Remote job distribution, with an average salary of $50,969 per year, or $24.5 per hour.
Cloud ML DevRel Engineer - US remote

Cloud ML DevRel Engineer - US remote

Hugging Face

New York, NY • On-site, Remote

$61 - $81.50/hr

Full-time

Medical, Dental, Vision, PTO

Posted 21 days ago

Job description

At Hugging Face, we're on a journey to democratize good AI. We're building the fastest-growing platform for AI builders, with over 11 million users who have shared more than 2M models, 700k datasets, and 600k apps. Our open-source libraries have more than 600k stars on GitHub.
About the Role
As a Cloud ML DevRel Engineer, your goal is to grow the impact of the Hugging Face ML Cloud team by teaching the community of ML practitioners how to accelerate their training and inference workloads.
The ML Cloud team works through strategic collaborations with the most widely used clouds (AWS, GCP, Azure, Cloudflare), AI accelerators (NVIDIA, AMD, Intel Gaudi, AWS Inferentia, TPU), and systems partners (Dell, Nutanix), to make it easy for the community to run Hugging Face models and libraries on these platforms. These partnerships sit at the core of our strategy as an open platform with no customer lock-in, and of how we drive usage and revenue for our partners.
This is a solid engineering role with a strong flavor of education and community. Your impact comes from driving visibility and usage of partner integrations, through work like:
  • Publishing technical blog posts
  • Contributing documentation and code examples
  • Speaking to business and technical audiences at partner conferences
  • Producing and running webinars
  • Building and showing off demos
  • Leading go-to-market conversations with strategic partners

You'll work at the front edge of generative AI and open source, hand in hand with some of the most important companies in the field. You'll have a lot of autonomy and full creative control, with the goal of having 10x the impact of a similar role at a big tech company.
About You
You're already an active voice in the ML community. You publish, you teach, and people follow your work on LinkedIn and X.
You care about ML engineering, building practical AI applications, shipping them to production, and squeezing the most out of the cloud to accelerate them. You like learning hard engineering concepts and talking them through with other engineers, and you take pride in code that's easy to read. You're a strong communicator and educator, and you enjoy engaging with the ML community in a positive, helpful way.
What you'll need
  • 3+ years in developer relations or developer advocacy, specifically for ML or AI products, tools, or platforms
  • An established public presence as a technical voice, with a track record of regularly publishing ML/AI content and a demonstrable, engaged audience on LinkedIn and X (Twitter)
  • A portfolio of developer-facing content you can point to: technical blog posts, conference talks, demos, code examples, or documentation
  • Comfort and experience with public speaking to technical audiences (conferences, webinars, workshops)
  • 3+ years of hands-on ML or software engineering experience, including taking models to production
  • Experience training or deploying ML models on at least one major cloud (AWS, GCP, or Azure)
  • Proficiency in Python
  • Practical experience with the Hugging Face stack (Transformers, the Hub, Inference Endpoints) or comparable open-source ML libraries
  • Working knowledge of GPUs or AI accelerators (NVIDIA, AMD, Intel Gaudi, AWS Inferentia, or TPU) and of training and inference optimization
  • Fluent written and spoken English
Nice to have
  • Open-source maintainer or contributor experience
  • An active presence in other developer communities (GitHub, Reddit, YouTube, Discord)
  • Familiarity with containers and orchestration (Docker, Kubernetes)
  • Experience with distributed training or inference-serving frameworks (for example vLLM, TGI, or Ray)
One more thing
At Hugging Face we believe great AI shouldn't require a massive cluster, we build for everyone, especially the GPU-poor. And because we read every application, here's a small sign that you read this one too: start your answer to the first application question with the words "GPU-poor and proud". No trick, no catch, it just tells us a real person is on the other side.
More about Hugging Face
We are actively working to build a culture that values diversity, equity, and inclusivity.We are intentionally building a workplace where people feel respected and supported-regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We value development.You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.
We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off.
We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.
We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.
We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Apply