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Full Time Cloud Crowd Jobs (NOW HIRING)

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Inside Sales Account Manager

Merrimack, NH · On-site

$19.25/hr

All it takes is finding the right combination of tech hardware, software, cloud solutions, and ... crowd. We'd love for you to be a part of that fabric, to share your ideas and experiences with a ...

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$122K - $159K/yr

All it takes is finding the right combination of tech hardware, software, cloud solutions, and ... Employment Type: FULL_TIME

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Fulfillment Associate- PCC

Wilmington, OH

$18.99 - $22.98/hr

All it takes is finding the right combination of tech hardware, software, cloud solutions, and ... crowd. We'd love for you to be a part of that fabric, to share your ideas and experiences with a ...

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Lead Field Technician - REMOTE

Denver, CO · On-site

$36.78 - $47.08/hr

All it takes is finding the right combination of tech hardware, software, cloud solutions, and ... crowd. We'd love for you to be a part of that fabric, to share your ideas and experiences with a ...

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Lead Field Technician - REMOTE

Austin, TX · On-site

$36.78 - $47.08/hr

All it takes is finding the right combination of tech hardware, software, cloud solutions, and ... crowd. We'd love for you to be a part of that fabric, to share your ideas and experiences with a ...

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Full Time Cloud Crowd information

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$84

How much do full time cloud crowd jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for full time cloud crowd 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.

Which 3 jobs will survive AI?

Full Time Cloud Crowd roles often involve cloud infrastructure management, which is less susceptible to automation due to the need for complex problem-solving and human oversight. Jobs requiring creative thinking, strategic planning, and interpersonal skills—such as cloud architects, cybersecurity specialists, and DevOps engineers—are expected to remain in demand as AI tools augment these functions. Continuous learning and certification in cloud platforms like AWS or Azure can help professionals stay relevant.

How to make $1000 a week remotely?

A Full Time Cloud Crowd role typically involves remote work in cloud computing or related fields. To earn $1000 weekly, professionals often need specialized skills, certifications, and consistent project or task completion, which can be achieved through freelance platforms, remote job boards, or direct client work. Building a strong skill set in cloud platforms like AWS or Azure and maintaining a reliable schedule can help reach this income level.

How to make 2000 a week working from home?

Full Time Cloud Crowd roles typically involve completing micro-tasks or data labeling online, which can vary in pay. To earn around $2000 weekly, you may need to work multiple hours consistently, develop specialized skills, or find higher-paying projects within the platform. Earning this amount depends on task availability, your efficiency, and the pay rate per task.

What is the difference between Full Time Cloud Crowd vs Part Time Cloud Crowd?

AspectFull Time Cloud CrowdPart Time Cloud Crowd
Work HoursTypically 40 hours/weekLess than 20 hours/week
Employment TypeFull-time employmentPart-time or freelance
CertificationsOften requires cloud certifications (e.g., AWS, Azure)May not require certifications
Work EnvironmentDedicated office or remote full-timeFlexible, project-based
Industry UsageCommon in cloud service providers and tech companiesCommon in freelance platforms and consulting

Full Time Cloud Crowd roles involve dedicated, full-time employment with consistent hours and often require cloud certifications. Part Time Cloud Crowd positions are more flexible, project-based, and suitable for freelancers or those seeking part-time work. The choice depends on your career goals and availability.

What cloud jobs pay the most?

Senior cloud engineering roles, such as Cloud Solutions Architect and Cloud Infrastructure Engineer, tend to offer the highest salaries in cloud computing. These positions often require advanced skills in cloud platforms like AWS, Azure, or Google Cloud, along with certifications and experience managing large-scale deployments.
More about Full Time Cloud Crowd jobs
What are the most commonly searched types of Cloud Crowd jobs? The most popular types of Cloud Crowd jobs are:
What job categories do people searching Full Time Cloud Crowd jobs look for? The top searched job categories for Full Time Cloud Crowd jobs are:
Full Time Cloud Crowd jobs near you
Infographic showing various Full Time Cloud Crowd job openings in the United States as of July 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $128,365 per year, or $61.7 per hour.

Scientific Software Engineers

Jobs for Humanity

Santa Clara, CA

Full-time

Re-posted 2 days ago

Job description

Company Description
Jobs for Humanity is collaborating with Upwardly Global and with Nvidia to build an inclusive and just employment ecosystem. We support individuals coming from all walks of life.
Company Name: Nvidia
Job Description

Senior System Software Engineer - Scientific Computing PaaS
locations: US, CA, Santa Clara; US, Remote
time type: Full time
posted on: Posted Today
job requisition id: JR1979896
We are seeking a Sr System Software Engineer to help us build out our scientific computing platform on Nvidia DGX Cloud. We are building a cloud-based accelerated scientific computing platform as a service on the Nvidia DGX cloud. This DGX scientific computing cloud platform enables Physics-based Numerical Simulation Solvers, AI-based Training, Inference, and Visualization workflow for physical science and engineering problems. Those applications include Weather prediction, Climate modeling, Industrial design, and Digital twins simulation in various domains e.g. Aerospace, Automotive, Sports, Renewable energy, Bio-medical, and many more.
Are you passionate about solving rewarding problems at scale? Do you enjoy crafting robust, critical services for compute and data-intensive workloads? If so, you may be a phenomenal fit for our team!
What you'll be doing:
Design, Build, Deploy, and Operate Cloud-native microservices and APIs for scientific computing workload on DGX cloud.
Design services and take ownership of underlying cloud infrastructure for physics-informed and data-driven scientific workflows.
Design novel algorithms and actively engage with operations to increase overall system performance, it spans across the stack e.g. deep understanding of application code e.g. DL Framework, Numerical Solvers, Microservices, APIs, and Heterogeneous accelerated computing with CPUs and GPUs.
Design, Build, Deploy, and Operate scalable I/O infrastructure for checkpointing, data loading, pre & post-processing of data.
Optimize compute, storage, and network architecture specific to physics & simulation-driven applications.
What we need to see:
- BS/MS degree in Computer Science or related areas or equivalent experience.
- 10+ years experience working on building and operating distributed compute and data-intensive platform as a service on cloud
- Proven skill in a compiled language (Go, Rust, C++ or otherwise).
- Strong foundational knowledge in Cloud Computing e.g. "The Datacenter is a Computer" architecture, cloud security architecture, virtualization - CPU, Memory and IO, Resource pooling and elasticity.
- Proven skills in Distributed Systems & Parallel Processing e.g. System model of distributed computation e.g. topology abstraction, logical time. Synchronization and deadlock detection in distributed systems, Fault Tolerance and Failure Detection, Consensus and Agreement protocols, Parallel algorithms, shared memory and distributed memory architecture, message passing (MPI, NCCL), Cluster scalability and performance.
- Hands-on Debugging skills with Process, Threads, Deadlock and Synchronization, Scheduling, IPC, Memory management, File system, and I/O structure.
- Strong Evidence of Algorithmic Thinking & System Design skills e.g. Recursion, Graph, Tree, Stack, and Queue, Large scale loosely coupled distributed system design and operational experience.
- Be self-motivated, have strong interpersonal skills, and be able to work independently with multiple teams with minimal direction.
Ways to stand out from the crowd:
- Have built, deployed, and operated AI platforms on HPC clusters. Have built, deployed, and operated cloud-native system including distributed storage, scheduling, and orchestration among compute, storage, and network.
- Configuring and troubleshooting hardware, operating systems, kernels, compilers for maximum performance.
- Hands-on debugging skills to optimize performance of compute, networking, and I/O framework. Extensively worked on third-party source code for debugging and customization.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!
The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits.
NVIDIA accepts applications on an ongoing basis. 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.
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