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Masters Cloud Computing Jobs (NOW HIRING)

Apex Informatics

AWS CLOUD NATIVE DEVELOPER

Atlanta, GA · On-site

Collaborate with Product Owners, Scrum Masters, and other team members to refine user stories and ... Proven experience as a software developer with a strong understanding of cloud computing principles ...

Planet Technologies

Cloud Strategist

A master's degree (MBA or MIS) is a plus. * 7-10 years of IT experience, with 3-5 years in cloud ... Deep understanding of cloud computing models (IaaS, PaaS, SaaS) and deployment types (public ...

Planet Technologies

Cloud Strategist

OR · Remote

A master's degree (MBA or MIS) is a plus. * 7-10 years of IT experience, with 3-5 years in cloud ... Deep understanding of cloud computing models (IaaS, PaaS, SaaS) and deployment types (public ...

Planet Technologies

OR

A master's degree (MBA or MIS) is a plus. * 7-10 years of IT experience, with 3-5 years in cloud ... Deep understanding of cloud computing models (IaaS, PaaS, SaaS) and deployment types (public ...

asrcfh

Senior Data Architect

Norman, OK · On-site

$59.25 - $79.25/hr

Masters preferred. * Engineering background, cloud computing background to address both RadarNext (RN) and current NWS enterprise architecture. * Must be comfortable with ambiguity, evolving ...

asrcfh

Senior Data Architect

Norman, OK · On-site

$59.25 - $79.25/hr

Masters preferred. * Engineering background, cloud computing background to address both RadarNext (RN) and current NWS enterprise architecture. * Must be comfortable with ambiguity, evolving ...

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Masters Cloud Computing information

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How much do masters cloud computing jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for masters cloud computing in the United States is $64.53, according to ZipRecruiter salary data. Most workers in this role earn between $56.25 and $76.68 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in cloud computing roles, and how can they be addressed?

Professionals in cloud computing often encounter challenges such as ensuring data security, managing cloud costs, and staying updated with rapidly evolving technologies. To address these, it's important to implement strong security protocols, regularly review resource usage to optimize spending, and invest in continuous learning through certifications or industry webinars. Collaborating closely with cross-functional teams, like cybersecurity and DevOps, can also help to mitigate risks and streamline operations.

What is a Master's in Cloud Computing?

A Master's in Cloud Computing is a graduate-level degree program focused on the study of cloud technologies, including cloud infrastructure, security, architecture, and services. The program prepares students to design, implement, and manage cloud-based solutions for organizations. It typically combines theoretical knowledge with hands-on experience in leading cloud platforms like AWS, Azure, and Google Cloud. Graduates are equipped for roles such as cloud architect, cloud engineer, and cloud security specialist.

What are the key skills and qualifications needed to thrive as a Cloud Computing Specialist, and why are they important?

To thrive as a Cloud Computing Specialist, you need a strong understanding of cloud architecture, virtualization, networking, and security, often backed by a degree in computer science or a related field. Familiarity with platforms like AWS, Azure, or Google Cloud, as well as certifications such as AWS Certified Solutions Architect or Microsoft Certified: Azure Administrator, is typically required. Problem-solving abilities, collaboration, and effective communication are crucial soft skills in this field. These skills and certifications are essential for designing, implementing, and managing secure, scalable cloud solutions that meet organizational needs.
Infographic showing various Masters Cloud Computing job openings in the United States as of June 2026, with employment types broken down into 6% Internship, 76% Full Time, 6% Part Time, and 12% Contract. Highlights an 70% In-person, 12% Hybrid, and 18% Remote job distribution, with an average salary of $134,230 per year, or $64.5 per hour.
Accelerated Computing GPU Product Manager

Accelerated Computing GPU Product Manager

Nvidia

Santa Clara, CA

$196K - $226K/yr

Full-time

Posted 27 days ago

Job description

NVIDIA has been redefining 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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world!

What you'll be doing:

NVIDIA's Accelerated Computing team sits is a driving force behind the explosion of Machine Learning, Artificial Intelligence and High-Performance Computing. We are looking for a highly capable individual with a consistent track record in technology and the skills for GPU product definition for Data Center. We are a small, dynamic, and motivated team that defines the next generation of products for these high growth markets.

  • Develop a deep understanding of datacenter workloads and applications, especially around Large Language Models, for training and inference

  • Find opportunities where we uniquely can address customer needs, and translate these into compelling GPU value proposition and product proposals

  • Work cross functionally with our partners, engineering, operations & field teams to develop comprehensive product go to market plans and product positioning

  • Work with our sales organization to develop effective sales collateral and tools

What we need to see:

  • 7+ years of total experience in technology with previous product management, AI related engineering, design or development experience highly valued

  • BS or MS or equivalent experience in engineering, computer science, or another technical field. MBA a plus.

  • Demonstrated ability to fully contribute in one or more of the areas above within 3 months

  • Knowledge of, and capable of explaining GPU, software and computing architectures

  • Strong desire to learn, motivated to tackle complex problems and the ability to make sophisticated trade-offs

  • Ability to work closely with cloud partners

Ways to stand out from the crowd:

  • Strong background in developing or deploying large scale GPU based AI applications, like Large Language Model, for training and inference

  • Direct experience in building or leading cloud computing infrastructure and technologies

  • Exposure to bringing accelerated computing systems to market

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 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.
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

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