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Temporary Nvidia Autonomous Driving Jobs in Wisconsin

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

$170 - $230/hr

We are developing an autonomous gun turret using advanced computer vision and control systems to ... Comfort driving execution while collaborating on technical direction with senior technical ...

WI · On-site

$80 - $120/hr

Backed by NVIDIA, IBM, HPE, Cisco, AWS, Google Cloud, and others, Cohesity is headquartered in ... As a Sales Engineer, you will play a pivotal role in driving new customer opportunities and ...

WI · On-site

$220 - $340/hr

... driving rapid iteration between flights. * Integrate control systems with propulsion, aero, actuation, sensors, state estimation, and autonomy, ensuring the vehicle behaves predictably under ...

Principal AI Engineer

Milwaukee, WI · On-site

$197K - $208K/yr

This is a high-autonomy role for a seasoned AI leader who thrives on "blank slate" architectural ... You will not be an outside consultant; you will be a full team member, driving the vision for cloud ...

Part Time Dietitian

Sheboygan, WI · On-site

$30 - $40/hr

RD Credential and WI Dietitian Certification or RDE with temporary WI Dietitian Certification and ... We encourage applicants with a criminal history (and driving history) to apply. Applications are ...

RD Credential and WI Dietitian Certification or RDE with temporary WI Dietitian Certification and ... We encourage applicants with a criminal history (and driving history) to apply. Applications are ...

RD Credential and WI Dietitian Certification or RDE with temporary WI Dietitian Certification and ... We encourage applicants with a criminal history (and driving history) to apply. Applications are ...

Part Time Dietitian

Sheboygan, WI · On-site

$30 - $40/hr

RD Credential and WI Dietitian Certification or RDE with temporary WI Dietitian Certification and ... We encourage applicants with a criminal history (and driving history) to apply. Applications are ...

Tool & Die Maker - 1st Shift

Beaver Dam, WI · On-site

$25.50 - $32.25/hr

... autonomous role in supporting the production of alternators through expert-level tooling, machine ... The Tool & Die Maker is expected to operate as a technical authority within the facility, driving ...

Temporary Nvidia Autonomous Driving information

What is a temporary Nvidia autonomous driving job?

Temporary Nvidia Autonomous Driving jobs are short-term positions at Nvidia focused on developing, testing, or supporting autonomous vehicle technologies. These roles may involve software engineering, data analysis, system testing, or support functions related to self-driving car platforms. Temporary roles are typically project-based, offering opportunities to work on cutting-edge artificial intelligence and robotics applications within the autonomous driving sector. Such positions provide valuable experience in the fast-evolving field of automated vehicles, even if they are not permanent.

What skills and qualifications are needed for a temporary Nvidia autonomous driving engineer?

To excel as a Temporary Nvidia Autonomous Driving Engineer, you need strong programming skills (especially in C++ and Python), a solid background in robotics or computer vision, and typically a degree in computer science, engineering, or a related field. Experience with autonomous vehicle platforms, Nvidia DRIVE, deep learning frameworks (like TensorFlow or PyTorch), and familiarity with sensor fusion technologies are highly valued. Excellent problem-solving abilities, teamwork, and adaptability are crucial soft skills for integrating new technologies and collaborating across multidisciplinary teams. These competencies ensure safe, innovative solutions in the rapidly evolving field of autonomous vehicles.

What are common challenges faced by a temporary Nvidia autonomous driving specialist, and how can applicants prepare for them?

Temporary specialists in Nvidia's Autonomous Driving division often encounter fast-paced project timelines and rapidly evolving technical requirements. Adapting quickly to new tools, frameworks, and proprietary systems is essential, as is a willingness to collaborate across multidisciplinary teams such as software engineering, data annotation, and hardware integration. Applicants can prepare by demonstrating strong foundational knowledge in machine learning, computer vision, and robotics, as well as effective communication skills to navigate a dynamic, innovative environment.

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

The most popular types of Nvidia Autonomous Driving jobs in Wisconsin are:

What are popular job titles related to Temporary Nvidia Autonomous Driving jobs in Wisconsin?

For Temporary Nvidia Autonomous Driving jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Temporary Nvidia Autonomous Driving jobs in Wisconsin look for?

The top searched job categories for Temporary Nvidia Autonomous Driving jobs in Wisconsin are:

What cities in Wisconsin are hiring for Temporary Nvidia Autonomous Driving jobs?

Cities in Wisconsin with the most Temporary Nvidia Autonomous Driving job openings:

Senior Software Engineer, Networking DGX Cloud

NVIDIA Corporation

WI • On-site

$200 - $391/hr

Other

Posted 5 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 246 rated software companies


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