ZipRecruiter

Log In

1

Senior Cloud Crowd Jobs (NOW HIRING)

NVIDIA Corporation

$184 - $287/hr

Ways to stand out from the crowd:*** Experience with GPUs, CUDA, HPC, clusters, networking, and ... cloud environments.* Participation in deployment and maintenance of microservices.* Experience ...

New

Nvidia

Senior Network Reliability Engineer - DGX Cloud

$106K - $145K/yr

NVIDIA is looking for a Senior Network Reliability Engineer to support and maintain our cloud and ... Ways To Stand Out From The Crowd: * Solid understanding of Mellanox/Cumulus OS and Infiniband ...

Nvidia

$104K - $142K/yr

This is a senior individual contributor role with end-to-end ownership and production ... Ways to Stand Out From the Crowd: * Strong knowledge of IP routing, data center fabrics, and cloud ...

Nvidia

Senior Performance Engineer - DGX Cloud

Redmond, WA · On-site

$117K - $160K/yr

Joining NVIDIA's DGX Cloud AI Efficiency Team means advancing the performance, efficiency, and ... crowd: * Experience analyzing large-scale AI clusters or distributed training and inference ...

Nvidia

Senior Performance Engineer - DGX Cloud

Austin, TX · On-site

$103K - $142K/yr

Joining NVIDIA's DGX Cloud AI Efficiency Team means advancing the performance, efficiency, and ... crowd: * Experience analyzing large-scale AI clusters or distributed training and inference ...

previous page

Showing results 41-60

All JobsTechnology JobsSenior Cloud Crowd Jobs

Senior Cloud Crowd information

See salary details

$25K

$80.3K

$163.5K

How much do senior cloud crowd jobs pay per year?

As of Aug 21, 2026, the average yearly pay for senior cloud crowd in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Cloud Crowd vs Cloud Engineer?

AspectSenior Cloud CrowdCloud Engineer
CredentialsExperience with crowdsourcing platforms, cloud services, and project managementCloud certifications (AWS, Azure, GCP), technical skills in cloud architecture
Work EnvironmentCollaborates with crowdsourcing teams, project managers, and clientsDesigns, implements, and manages cloud infrastructure
Industry UsageUsed in projects requiring large-scale data labeling, testing, or validationDevelops and maintains cloud-based systems and applications

The Senior Cloud Crowd primarily manages and coordinates crowdsourcing efforts within cloud projects, focusing on data collection and validation. In contrast, a Cloud Engineer designs and maintains cloud infrastructure. While both roles require cloud knowledge, the Senior Cloud Crowd emphasizes project management and crowdsourcing skills, whereas the Cloud Engineer focuses on technical cloud architecture and deployment.

Are senior cloud crowd jobs still in demand?

Senior cloud crowd jobs remain in demand as organizations continue to adopt cloud computing, requiring experienced professionals with skills in cloud platforms like AWS, Azure, or Google Cloud. These roles often involve managing large-scale infrastructure, security, and automation, with certifications such as AWS Certified Solutions Architect enhancing employability.
More about Senior Cloud Crowd jobs

What cities are hiring for Senior Cloud Crowd jobs?

Cities with the most Senior Cloud Crowd job openings:

What are the most commonly searched types of Cloud Crowd jobs?

The most popular types of Cloud Crowd jobs are:

What states have the most Senior Cloud Crowd jobs?

States with the most job openings for Senior Cloud Crowd jobs include:

What job categories do people searching Senior Cloud Crowd jobs look for?

The top searched job categories for Senior Cloud Crowd jobs are:

Senior Cloud Crowd jobs near you
Infographic showing various Senior Cloud Crowd job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, 2% Part Time, and 7% Contract. Highlights an 76% Physical, 8% Hybrid, and 16% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Senior DevOps Engineer, Cloud Simulation Infrastructure

Nvidia

Santa Clara, CA • On-site

$152K - $196K/yr

Full-time

Re-posted 4 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

Job description

We are seeking a Senior DevOps / Cloud Simulation Infrastructure Engineer to own the complete end-to-end cloud execution pipeline for SimReady assets! This role is critical to our product strategy, enabling us to transition from local, workstation-driven validation to high-scale, automated cloud validation on NVIDIA Cloud Functions (NVCF). You will be responsible for deploying a robust, multi-GPU pipeline that supports structural validation, AI-driven runtime behavioral testing, and automated asset remediation.

What you'll be doing:

  • Deployment: Deploy full Isaac Sim runtimes within GPU-aware NVCF containers. Manage container packaging, GPU initialization, and runtime utilities for physics, sensor, and rendering validation.

  • Deploy Structural Validation: Deploy services to validate USD structure and compliance without runtime overhead.

  • Deploy Runtime Validation: Architect scalable execution layers to conduct runtime behavior-based testing (e.g., drop/grasp tests). Deploy rule-based systems or AI based systems for automated pass/fail grading.

  • Deploy Automated Remediation: Develop an AI-based pipeline that intercepts failures, triggers automated asset fixes, and re-validates results to ensure quality standards.

  • Cloud Infrastructure Ownership: Scale execution from single-workstation validation to massive, multi-GPU cloud environments. Optimize for performance, addressing function-to-function networking, gRPC bottlenecks, and in-cluster proxy behavior.

  • Artifact & Evidence Pipeline: Automate the generation of verification videos, thumbnails, feature-level reports, and validation metadata. Ensure all assets are traceable and linked to quality gates.

  • Observability & CI/CD: Establish robust CI/CD, cluster verification, and monitoring pipelines. Implement logging, metrics, and tracing to ensure services are observable, debuggable, and production-ready.

  • Operational Reliability: Implement atomic update semantics and safe failure handling to ensure validation processes never corrupt the primary asset library.

What we need to see:

  • BS or MS degree in Computer Science, Computer Engineering, or related field (or equivalent experience).

  • 8+ years of professional experience working on DevOps and/or cloud simulation.

  • Extensive experience in production-grade DevOps, SRE, or Infrastructure Engineering, with a focus on GPU-backed cloud services.

  • Proven expertise in container orchestration (Kubernetes/Docker) and CI/CD pipeline development.

  • Experience with automated testing frameworks, preferably involving AI/ML inference, computer vision, or rule-based validation.

  • Proficiency in Python and systems scripting for test orchestration and pipeline automation.

  • Strong ability to design and maintain distributed job lifecycle services (submit/poll/fetch/cancel) and handle asynchronous failure states.

  • Ability to diagnose and solve distributed network bottlenecks, including gRPC and function-to-function communication.

Ways to stand out from the crowd:

  • Direct experience deploying services on NVCF (NVIDIA Cloud Functions) or DGX Cloud.

  • Deep familiarity with Isaac Sim, Omniverse, USD, or Sensor RTX workflows.

  • Background in robotics simulation, physical AI, or large-scale content creation pipelines.

  • Experience building "self-healing" or automated remediation workflows.

  • Experience with cluster verification frameworks, stress testing, and deployment validation at scale.

We value different paths to technical excellence and welcome candidates who bring strong judgment, curiosity, and a collaborative approach. Come build the future of autonomous vehicle simulation with us!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 21, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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

View All Nvidia Jobs

Apply