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From Home Nvidia Robotics Jobs in Wisconsin (NOW HIRING)

WI · On-site

$200 - $391/hr

NVIDIA is looking for an experienced software engineer with infrastructure experience to become a ... If you're creative and autonomous, we want to hear from you!What you'll be doing:Developing ...

WI · On-site

$95 - $138/hr

Aviant does home delivery with drones. We fly at 100 km/h to people's gardens and deliver food and ... Handle certification worklfows end-to-end from requirements to proof Relevant technology:

New

Robotics Tutor

Madison, WI · Remote

$18 - $40/hr

... online Robotics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

Robotics Tutor

Milwaukee, WI · Remote

$18 - $40/hr

... online Robotics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

WI · On-site

$170 - $230/hr

... robotics and software. We are developing an autonomous gun turret using advanced computer vision ... Backed by our founders' successful exits from two previous venture acquired for a combined $180M in ...

Support Analyst

Middleton, WI · On-site +1

$53K - $68K/yr

... NVIDIA, Whirlpool, Sony, and Trek - supporting 1.2M users and generating $200M+ in annual revenue ... Flexible work schedule, summer hours, and work from home options * Profit sharing options * Paid ...

Business Consultant

Middleton, WI · On-site +1

$105K - $132K/yr

... NVIDIA, Whirlpool, Sony, and Trek - supporting 1.2M users and generating $200M+ in annual revenue ... Flexible work schedule, summer hours, and work from home options * Profit sharing options * Paid ...

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From Home Nvidia Robotics information

What is a from home Nvidia Robotics job?

'From Home Nvidia Robotics' jobs refer to remote positions with Nvidia that focus on robotics development, research, or support. These roles may include software engineering, AI development, simulation, or technical support for Nvidia's robotics platforms and tools, such as Isaac Sim or Jetson. Employees in these roles can work from their homes while collaborating virtually with global teams to develop cutting-edge robotics solutions. The work often involves coding, testing, and deploying robotics applications or supporting customers and partners using Nvidia's robotics technologies.

What are the key skills and qualifications needed to thrive as a from home Nvidia Robotics engineer?

To thrive as a Work-From-Home NVIDIA Robotics Engineer, you generally need a background in robotics, computer science, or engineering, with strong programming skills in languages like Python or C++. Familiarity with NVIDIA hardware (such as Jetson platforms), robotics middleware (like ROS), and deep learning frameworks is often required, along with relevant certifications or project experience. Excellent problem-solving, remote collaboration, and communication skills set standout candidates apart. These skills ensure the ability to develop, test, and deploy advanced robotics solutions efficiently while working remotely.

What are the typical collaboration tools and communication methods used by Nvidia Robotics teams working from home?

Nvidia Robotics professionals working remotely typically rely on a suite of digital collaboration tools to stay connected and productive. Common platforms include Slack or Microsoft Teams for instant messaging, Zoom for video meetings, and project management tools like Jira or Asana to track tasks and progress. Code collaboration and version control are usually managed through GitHub or GitLab. Regular virtual stand-ups and documentation sharing ensure everyone stays aligned, and there's a strong emphasis on clear, timely communication to support teamwork across different time zones and disciplines.

What is the difference between From Home Nvidia Robotics vs From Home Nvidia Data Analyst?

AspectFrom Home Nvidia RoboticsFrom Home Nvidia Data Analyst
Required CredentialsBachelor's in Robotics, Computer Science, or related field; certifications in robotics or automationBachelor's in Data Science, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentRemote, involving software development, robotics programming, and simulationRemote, focusing on data collection, analysis, and reporting
Industry UsageRobotics, automation, AI developmentData-driven decision making, analytics, AI training

While both roles are remote and involve working with Nvidia technologies, From Home Nvidia Robotics focuses on developing and programming robotic systems, whereas From Home Nvidia Data Analyst centers on analyzing data to support business and AI insights. The credentials overlap in technical skills, but the job functions differ significantly in their focus areas.

What are the most commonly searched types of Nvidia Robotics jobs in Wisconsin?

The most popular types of Nvidia Robotics jobs in Wisconsin are:

What are popular job titles related to From Home Nvidia Robotics jobs in Wisconsin?

For From Home Nvidia Robotics jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching From Home Nvidia Robotics jobs in Wisconsin look for?

The top searched job categories for From Home Nvidia Robotics jobs in Wisconsin are:

What cities in Wisconsin are hiring for From Home Nvidia Robotics jobs?

Cities in Wisconsin with the most From Home Nvidia Robotics job openings:

Senior Software Engineer, Networking DGX Cloud

WI • On-site


NVIDIA Corporation
Computer and Electronic Product Manufacturing • 10K+ employees

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Great coworkers

People enjoy working here

Good employer


$200 - $391/hr

Other

Posted 6 days ago


Job description

NVIDIA is looking for an experienced software engineer with infrastructure experience to become a senior member of the Cloud Foundations Automation - Development Team. We build and manage the automation ecosystem supporting NVIDIA's GPU Cloud and NVIDIA SuperPod deployments. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and dedicated people on the planet working for us. If you're creative and autonomous, we want to hear from you!What you'll be doing:Developing software to enable efficient network design, deployment and day 2 management.Building product focused software solutions, used by internal and external customers.Helping us as we transform our workflows and organization into a centrally orchestrated configuration management framework, operating at scale across geographies.Owning and driving integrations with various service APIs such as Cloud Service Providers, to automate creation of environments and auto populate data sources in turn.Building on open source software, designing and implementing data structures and UI interfaces to automate processes from equipment purchase to device config generation to deployment to operations.Streamlining deployment mechanisms and life cycle operations Developing modern service architectures around streaming data and event pipelines.Working with infrastructure domain experts on true, zero touch deployment solutions and utilizing best of breed high performance computing management solutions.Be a proactive problem solver, looking out for new opportunities to improve our services and customer experience. Communicate readily with your peers across the organization, building relationships and collaborating enthusiastically.What we need to see:BS or equivalent experience with 12+ yrs of relevant industry experience.Background in networking and network automation (Datacenter / PoPs / Routing)Strong proficiency in Python and Go web frameworks.Experience building and shipping production quality software products.Experience with DCIM tools like Netbox or Nautobot and expertise in designing and implementing network configuration management systems.Familiarity with containerization using Kubernetes (on-premises, EKS) and streaming telemetry protocols like gRPC/GNMI.Ways to Stand out from the crowd:You have architected, built, and deployed a network for a large scale (1000s of machines) in the past, used by 100s of engineersHands-on experience with building tooling and automation for provisioning, monitoring, and managing the network infrastructure.Understanding of networking technologies such as VRFs, VxLAN, EVPN, BGP/OSPF/ISIS and datacenter design.NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement.Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD for Level 5, and 248,000 USD - 391,000 USD for Level 6.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until August 3, 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. #J-18808-Ljbffr

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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


What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

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