1

Manager Nvidia Robotics Jobs in Texas (NOW HIRING)

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

... 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 ...

... 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 ...

Senior HPC Cluster Engineer

Austin, TX

$103K - $142K/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 ...

next page

Showing results 1-20

Manager Nvidia Robotics information

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 typical challenges faced by a Manager in 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 are the key skills and qualifications needed to thrive as a Manager Nvidia Robotics, and why are they important?

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 does a Manager of 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 most commonly searched types of Nvidia Robotics jobs in Texas? The most popular types of Nvidia Robotics jobs in Texas are:
What cities in Texas are hiring for Manager Nvidia Robotics jobs? Cities in Texas with the most Manager Nvidia Robotics job openings:
Senior Software Engineer - Server Manageability

Senior Software Engineer - Server Manageability

Nvidia

Austin, TX

$121K - $160K/yr

Full-time

Posted 7 days ago


Job description

We are looking for a Senior Software Engineer - Server Manageability! 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.

What you'll be doing:

  • Designing, implementing, and delivering innovations for managing GPU based AI servers with focus on OOB management, firmware development, server architecture and building systems for enterprise.

  • Leading BMC firmware design with a global team of engineers.

  • Designing and developing performance optimized active monitoring BMC solutions using DMTF Standards including MCTP, Redfish, SPDM and PLDM specifications.

  • Instrumenting code to ensure maximum code coverage, writing and automating unit tests for each implemented module and maintain detailed unit test case reports.

  • Providing software quality reports based on static analysis, code coverage, CPU load.

  • Working with security team to ensure developed code is in line with product security goals. Working closely with hardware teams to influence hardware design and review HW architecture & schematics.

  • Driving definition and end to end delivery of all platforms by collaborating with internal teams, ODMs/OEMs and industry partners for AI servers.

  • Working with QA/Test architects to come up with proper test tools and automation for qualifying the whole system software and firmware stack.

What we need to see:

  • Domain expertise in BMC Firmware development on X86 or ARM Platforms including BMC-BIOS communication, thermal management, power management, firmware update, device monitoring, firmware security, etc.

  • Solid experience of end-to-end delivery of high-end enterprise servers from definition to customer deployment.

  • Solid understanding of low-level interfaces between SBIOS, BMC and OS like I2C/SPI/PCIe/JTAG etc. PCIe enumeration, IO at platform level for enterprise systems.

  • Experience working closely with HW teams, ODMs and vendors to introduce and support server platforms.

  • Experience with C/C++ development, bash/python for scripting, and debugging skills in embedded Linux operating environments.

  • You should possess excellent written and oral communication skills, good work ethics, high sense of team-work, love to produce quality work and commitment to finish your tasks every single day. You are a self-starter who loves to find creative solutions to exciting problems.

  • Bachelor's degree, Master's Degree, or a PhD; in Electrical Engineering or Computer Science (or equivalent experience) and 5+ years of experience, with demonstrated strong ability as individual contributor.


Ways to stand out from the crowd:

  • Contributor to industry standards like Open Compute, IPMI, DMTF Standards, and OpenBMC open source

  • Proven record in delivering BMC for enterprise servers with OpenBMC firmware stack

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!

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 June 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.

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