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From Home Nvidia Robotics Jobs in Oregon (NOW HIRING)

Senior Formal Verification Engineer - LPU

OR · On-site +1

$104K - $143K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ...

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ...

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ...

Robotics Tutor

Eugene, OR · 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

OR · 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

Portland, OR · 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 ...

Showing results 21-40

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 Oregon?

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

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

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

Director, Host Networking Segment Sales for Agentic

Nvidia

OR • On-site, Remote

Full-time

Re-posted 13 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 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. 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.

We are looking for a dynamic business leader to manage NVIDIA's growth in host networking products for agentic workloads. This position will increase demand for NVIDIA DPUs, NICs, and SuperNICs by combining valuable DOCA libraries with leading customer and ISV workloads. In addition to building demand driven by workloads, this leader will handle daily NIC sales operations, evaluate forecast quality for both near and distant periods, and work closely with operations to match supply with customer needs. Your success will rely on connecting customer application requirements, ISV development plans, NVIDIA networking strengths, and supply-demand realities into repeatable software-supported adoption and delivery processes. You will lead the market strategy for workload acceleration, bring together product, sales, engineering, developer relations, solution architects, operations, and ecosystem teams, and turn software integration into design wins, workload engagement, added value, and extensive deployments.

What you'll be doing:

  • Define strategy and day-to-day segment sales operating cadence for DPU, NIC and SuperNIC demand generation, outlining the priority workloads, customers, ISVs, use cases, business reviews, and adoption motions where DOCA builds differentiated value.

  • Identify, develop and close workload-led builds that attach NVIDIA NIC and SuperNIC products to leading AI, cloud, and enterprise customers deploying agentic workloads.

  • Build deep relationships with end customers, ISVs, platform providers, and ecosystem partners to secure integration, validation, launch, and deployment commitments.

  • Lead a matrixed group including product management, sales, developer relations, solution architects, engineering, and marketing to prioritize integrations, enablement, field plays, and roadmap feedback.

  • Emphasize the ways DOCA-enabled DPU, NIC, and SuperNIC functionalities boost agentic workloads' performance, efficiency, security, observability, and operational scale.

  • Build a robust opportunity pipeline with segment sales and account teams, including target account mapping, workload qualification, ISV integration achievements, executive engagement, and partner alignment.

  • Lead short-term and long-term NIC business forecasts, evaluate potential risks and opportunities, and collaborate with operations, finance, product, and account groups to coordinate supply, allocation, and customer ramp plans.

  • Track and drive quarterly business reporting, forecast accuracy, design-win progress, integration status, revenue influence, supply-demand alignment, customer blockers, and competitive insights.

What we need to see:

  • A technical and commercial university degree (or equivalent experience).

  • Over 15 overall years of experience advancing sales, business growth, product launches, or platform adoption for data center networking, cloud infrastructure, semiconductor, infrastructure software, or enterprise software products, including more than 10 years focused on leading high-performing teams.

  • Experience crafting demand through software platforms, SDKs, libraries, APIs, ISV partnerships, developer ecosystems, or workload integrations.

  • Solid understanding of NICs, SuperNICs, DPUs, data center networking, Ethernet, RDMA/RoCE, cloud infrastructure, virtualization, security and storage acceleration, and AI data center architectures.

  • Ability to translate deep technical capabilities into executive narratives, customer value propositions, sales plays, proof points, and actionable go-to-market plans.

  • Experience leading segment sales operating rhythm, demand forecasting, supply-demand coordination, business reviews, and collaborative efforts with operations, finance, product, and account teams.

  • Diligent and comfortable multitasking in a dynamic environment with shifting priorities, evolving workloads, and changing customer requirements.

  • Can present complex marketing and technical content to executives at NVIDIA, our partners, ISVs, and customers.

Ways to stand out from the crowd:

  • Hands-on familiarity with NVIDIA DOCA, BlueField DPUs, SuperNICs, NIC software ecosystems, programmable host networking.

  • Deep knowledge of AI factory architectures for agentic workloads, GPU cluster networking, host networking requirements, application performance bottlenecks, and operational tradeoffs at scale.

  • Experience balancing new design-win creation with run-the-business rigor for high-volume networking, silicon, systems, or infrastructure products, including supply constraints, allocation, customer ramps, and lifecycle transitions.

  • Experience building ISV partner motions for cloud-native infrastructure, storage, security, observability, virtualization, databases, data processing, AI training, AI inference, or enterprise platforms.

  • Technical knowledge of NVIDIA products and services, plus enterprise, hyperscaler, and ISV qualification, deployment, and lifecycle models.

NVIDIA is recognized as one of the technology sector's most sought-after employers. Our team includes some of the world's most innovative and dedicated individuals. If you're imaginative and self-directed, we want to connect with you!

Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 296,000 USD - 448,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 14, 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.

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Benefits

Hours and flexibility

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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