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Cloud Gpu Jobs (NOW HIRING)

... cloud GPU environments (GCP, Azure, AWS, OCI) and/or on-prem GPU clustersOther Qualifications (OQs):Experience with NVIDIA NIMs, DGX systems, or GPU-accelerated containersKnowledge of LLMOps ...

$165K - $185K/yr

With 33 global cloud data center locations, Vultr is trusted by hundreds of thousands of active customers across 185 countries for its flexible, scalable, global Cloud Compute, Cloud GPU, Bare Metal ...

With 33 global cloud data center locations, Vultr is trusted by hundreds of thousands of active customers across 185 countries for its flexible, scalable, global Cloud Compute, Cloud GPU, Bare Metal ...

Senior Platform Engineer

$107K - $146K/yr

Experience with cloud GPU environments (GCP, Azure, AWS, OCI) and/or on-prem GPU clusters Other Qualifications (OQs): * Experience with NVIDIA NIMs, DGX systems, or GPU-accelerated containers

Senior - Platform Engineer

Boston, MA ยท On-site

$60 - $77.50/hr

Experience with cloud GPU environments (GCP, Azure, AWS, OCI) and/or on-prem GPU clusters Other Qualifications (OQs): * Experience with NVIDIA NIMs, DGX systems, or GPU-accelerated containers

Senior - Platform Engineer

Boston, MA

$60 - $77.50/hr

Experience with cloud GPU environments (GCP, Azure, AWS, OCI) and/or on-prem GPU clusters Other Qualifications (OQs): * Experience with NVIDIA NIMs, DGX systems, or GPU-accelerated containers

Experience with cloud GPU environments (GCP, Azure, AWS, OCI) and/or on-prem GPU clusters Other Qualifications (OQs): * Experience with NVIDIA NIMs, DGX systems, or GPU-accelerated containers

Senior - Platform Engineer

Princeton, NJ

$58 - $74.75/hr

Experience with cloud GPU environments (GCP, Azure, AWS, OCI) and/or on-prem GPU clusters Other Qualifications (OQs): * Experience with NVIDIA NIMs, DGX systems, or GPU-accelerated containers

Experience with cloud GPU environments (GCP, Azure, AWS, OCI) and/or on-prem GPU clusters Other Qualifications (OQs): * Experience with NVIDIA NIMs, DGX systems, or GPU-accelerated containers

Senior - Platform Engineer

$56.50 - $73/hr

Experience with cloud GPU environments (GCP, Azure, AWS, OCI) and/or on-prem GPU clusters Other Qualifications (OQs): * Experience with NVIDIA NIMs, DGX systems, or GPU-accelerated containers

If this resonates with you, come and joining our Data Center GPU organization where we are building amazing AI powered products with amazing people. THE ROLE: As a Cloud and Customer Solutions ...

Senior Platform Engineer

$107K - $146K/yr

Experience with cloud GPU environments (GCP, Azure, AWS, OCI) and/or on-prem GPU clusters Other Qualifications (OQs): * Experience with NVIDIA NIMs, DGX systems, or GPU-accelerated containers

Showing results 41-60

Cloud Gpu information

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$10

$61

$84

How much do cloud gpu jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for cloud gpu in the United States is $61.71, according to ZipRecruiter salary data. Most workers in this role earn between $54.09 and $74.04 per hour, depending on experience, location, and employer.

What is a cloud GPU?

Cloud GPU jobs refer to computational tasks that utilize Graphics Processing Units (GPUs) hosted on cloud platforms. These jobs can include machine learning, data analysis, graphics rendering, and scientific simulations, all executed remotely on powerful GPU hardware provided by cloud service providers. Using cloud GPUs allows users to scale their computing resources on demand without investing in expensive physical GPUs, making it cost-effective and flexible for businesses and researchers alike.

What skills and qualifications are needed to work with cloud GPUs?

To thrive as a Cloud GPU Engineer, you need a strong background in computer science, cloud computing, and GPU architecture, often supported by a degree in a relevant field and experience with parallel programming. Proficiency with cloud platforms (such as AWS, Azure, or Google Cloud), GPU management tools (like NVIDIA CUDA), and containerization systems (like Docker or Kubernetes) is typically required. Strong problem-solving skills, teamwork, and effective communication help you collaborate and address complex technical challenges. These skills and qualities are essential for optimizing GPU resources, ensuring high performance, and supporting scalable cloud-based solutions.

What are the main challenges faced when managing cloud GPU resources in a production environment?

One of the primary challenges in managing cloud GPU resources is optimizing usage to balance performance and cost, since GPUs can be expensive if left underutilized. Additionally, workloads often require careful scheduling and monitoring to ensure resource availability and prevent bottlenecks, especially when supporting multiple teams or projects. Security and data compliance can also be more complex due to the shared infrastructure in cloud environments. Collaborating effectively with DevOps, engineering, and data science teams is crucial to align resource allocation with project needs and timelines.

What is the difference between Cloud Gpu vs Data Scientist?

AspectCloud GpuData Scientist
Required CredentialsKnowledge of cloud platforms, GPU computing, and basic programmingDegree in data science, statistics, or related field; often Python or R skills
Work EnvironmentCloud-based infrastructure, hardware management, and GPU resourcesData analysis, modeling, and visualization in office or remote settings
Industry UsageTech, AI, machine learning, and high-performance computingBusiness, finance, healthcare, and research sectors

While Cloud Gpu specialists focus on managing GPU resources in cloud environments for high-performance tasks, Data Scientists analyze data to extract insights and build models. Both roles often collaborate in AI projects but differ in technical focus and daily tasks.

What other helpful pages are available for Cloud Gpu?

Other pages related to Cloud Gpu:

Infographic showing various Cloud Gpu job openings in the United States as of September 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $128,365 per year, or $61.7 per hour.

Vultr - Sales Development Representative

Charlotte, NC โ€ข On-site

Full-time

Medical, Retirement, PTO

Re-posted 20 days ago


Job description

Who We Are 

Vultr is on a mission to make high-performance cloud computing easy to use, affordable, and locally accessible for businesses and developers around the world. With 32 cloud data centre locations around the world, Vultr has served over 1.5 million customers across 185 countries with flexible, scalable, global Cloud Compute, Cloud GPU, Bare Metal, and Cloud Storage solutions.

Simply put, Vultr is committed to providing businesses worldwide with the best price-to-performance of any cloud computing platform. Our global reach of data centres and strategic new partnerships provide the foundation to maximize the impact of our existing services, new product improvements, and releases, which in turn, is a catalyst for your own success.

Join Vultr

Requirements

  • Articulate, with strong written & verbal communication skills and a talent for building rapport and accelerating relationships
  • Exceptional desire to progress within the sales space and move towards an Account Executive or Inside sales role
  • Understanding of the requirements & responsibilities of the Sales Development Representative Role and what this means to Vultr specifically
  • A desire to work with lots of different stakeholders, be they clients, colleagues, managers, or prospects
  • An interest or affinity with the Tech industry
  • Simple, but a can-do, positive mindset
  • Have the flexibility to thrive in a scale-up, high-growth environment where things are constantly evolving
  • Accountable for your actions and input on a day-to-day basis
  • Appreciative of the value of solid relationships with your colleagues
  • Relish the opportunity to have continuous learning and development

Benefits

  • Investment into personal development, with a clear personalized plan to achieve your goals
  • Uncapped Commission
  • A three-month SDR training program to unlock your potential
  • 12 days annual leave
  • Medical Care provided
  • Mental Health support, with chat therapy courses available
  • Working equipment provided, including new laptops
  • Quarterly incentives
  • Women in Tech and Diversity & Inclusion Initiatives
  • 401(K) contribution