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Manager Nvidia Robotics Jobs in Texas (NOW HIRING)

... Manage NVIDIA GPU clusters for ML training. • Own the full CI/CD pipeline from source to ... vision, robotics, and software engineering teams to build low-friction developer tooling that ...

... robotics and software. We are developing a small, autonomous gun turret that employs advanced ... Manage NVIDIA GPU clusters for ML training. * Own the full CI/CD pipeline from source to deployment ...

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 and software. We are developing a small, autonomous gun turret that employs advanced ... Manage NVIDIA GPU clusters for ML training. * Own the full CI/CD pipeline from source to deployment ...

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Manager Nvidia Robotics information

What does a manager Nvidia Robotics do?

A Manager of Nvidia Robotics leads teams that develop, implement, and optimize robotics solutions using Nvidia's AI and GPU technologies. They oversee projects related to robotics hardware, software, and systems integration, ensuring products meet technical and business requirements. This role involves collaborating with engineers, researchers, and product managers to drive innovation and maintain project timelines. Additionally, the manager acts as a bridge between technical teams and upper management, helping to set strategic goals and allocate resources effectively.

What are the key skills and qualifications needed to thrive as a manager Nvidia Robotics?

To thrive as a Manager Nvidia Robotics, you need a solid background in robotics, computer science or engineering, combined with proven leadership experience and a relevant degree. Familiarity with NVIDIA’s robotics platforms (such as Isaac SDK), AI frameworks, and project management tools is typically required, along with certifications in project management or engineering disciplines. Strong communication, problem-solving, and team leadership skills help drive cross-functional collaboration and innovation. These capabilities are crucial for successfully guiding technical teams, delivering complex robotics solutions, and maintaining a competitive edge in a fast-evolving industry.

What are the typical challenges faced by a manager Nvidia Robotics, and how can new hires prepare for them?

Managers in Nvidia Robotics often encounter challenges related to overseeing multidisciplinary teams, integrating cutting-edge AI and hardware solutions, and managing fast-paced project cycles. New hires can prepare by developing strong project management skills, staying current with robotics and AI advancements, and fostering effective communication between hardware, software, and research teams. Being adaptable and proactive in problem-solving is crucial, as the field rapidly evolves and projects may shift priorities based on technological breakthroughs or business needs.

What is the difference between Manager Nvidia Robotics vs Robotics Engineer?

AspectManager Nvidia RoboticsRobotics Engineer
Required CredentialsBachelor's/Master's in Engineering, Management experienceBachelor's/Master's in Robotics, Mechanical, or Electrical Engineering
Work EnvironmentTeam leadership, project management, strategic planningDesign, develop, test robotic systems
Industry UsageOversees robotics projects in tech and manufacturingBuilds and codes robotic systems in R&D labs

The Manager Nvidia Robotics typically oversees robotics projects, requiring leadership and management skills, while Robotics Engineers focus on designing and developing robotic systems. Both roles are integral in the robotics industry but differ in responsibilities and daily tasks.

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

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

What are popular job titles related to Manager Nvidia Robotics jobs in Texas?

For Manager Nvidia Robotics jobs in Texas, the most frequently searched job titles are:

What cities in Texas are hiring for Manager Nvidia Robotics jobs?

Cities in Texas with the most Manager Nvidia Robotics job openings:

Solutions Architect, AI Factory Infrastructure

Austin, TX • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

Full-time

Re-posted 10 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


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 seek a Solutions Architect to join our focused and hardworking AI Factory infrastructure deployment team. NVIDIA is at the forefront of the AI computing revolution, building innovative deep learning solutions that reshape industries worldwide. In this role, you will play a key role in introducing our advanced GPU products to deployments across data centers and edge computing. If you enjoy system building and have a demonstrable track record of technical customer interactions, this is a prime opportunity to make a meaningful contribution.

What you'll be doing:

  • Help architect and scale high-performance, distributed AI infrastructure on-prem or in the cloud, built with the latest NVIDIA GPU supercomputers for new and existing customers.

  • Be a technical specialist on NVIDIA products, directly supporting sales account managers to secure build wins.

  • Actively establish and cultivate technical relationships with engineers, management, and architects at key customer accounts.

  • Provide on-site support to solve hardware and software problems, with a focus on deep learning inference.

  • Lead the product through its entire lifecycle, from design-in to end-of-life, ensuring detailed execution and customer satisfaction.

  • Actively maintain the NVIDIA side of infrastructure components and collect findings at the customer site.

  • Offer technical and sales training to direct sales teams and channel partners.

  • The expected travel requirement is approximately 25-30%.

What we need to see:

  • BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience).

  • 5+ years of work-related experience in high-tech IT companies with experience in NCP, CSP, site reliability, and virtualization technologies (VMware, Linux KVM).

  • 5+ years of working experience with Kubernetes, Slurm, Docker, etc.

  • Proficiency with AI tools (Claud, Codex, Perplexity, etc.), Redfish, Grafana, and Prometheus.

  • Remarkable talent for effectively handling multiple initiatives and priorities.

  • Strong time-management and communication skills for coordinating complex projects.

  • Excellent written and oral communication skills in English, with the ability to collaborate effectively with both management and engineering teams.

Ways to stand out from the crowd:

  • This role requires hands-on experience and extensive ability to solve problems within the customer infrastructure.

  • Kubernetes (K8S) is an infrastructure-orchestration software platform (NVIDIA Mission Control).

  • Practical knowledge of NVIDIA systems technology, such as DGX, NVL72, MGX and HGX systems, is a huge plus.

  • Experience working with OEMs in industrial, military, and ruggedized computing spaces.

  • Understanding of DC power / cooling and rack placements.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 10, 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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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