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Manager Nvidia Robotics Jobs in Texas (NOW HIRING)

... 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 ...

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 ...

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 ...

Senior Solution Engineer, Networking

Austin, TX

$54.75 - $70.50/hr

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 ...

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... NVIDIA's growing infrastructure needs * Develop tooling to automate management of large-scale ...

Showing results 21-40

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 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?

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 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 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:

Full-time

Medical, Dental, Vision, PTO

Re-posted 10 days ago


Job description

Company Overview
Allen Control Systems (ACS) is a cutting-edge defense startup founded by two former Navy electrical engineers with a proven track record in robotics and software. We are developing a small, autonomous gun turret that employs advanced computer vision and control systems to precisely target and neutralize small drones and loitering munitions. Our innovative approach requires overcoming significant technical challenges, making this an exciting and dynamic environment for experienced engineers.
With an engineering-first culture, ACS values technical excellence and innovation. Backed by our founders' successful exits from two previous ventures acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop have a real-world impact.
Position Overview
We are seeking an experienced Platform Engineer to design, build, and own the infrastructure powering the development of ACS's autonomous counter-drone systems. You will manage a 130+ GPU bare-metal Kubernetes cluster, own our CI/CD pipelines, and ensure our systems run reliably in both lab and field environments.
What You'll Do
  • Deploy and operate Kubernetes clusters on bare-metal infrastructure hosting 130+ NVIDIA GPUs, with hybrid burst capability to AWS for scalable compute and storage workloads.
  • Manage NVIDIA GPU clusters for ML training.
  • Own the full CI/CD pipeline from source to deployment, including artifact signing, build automation, and version pinning, ensuring repeatable delivery to cloud and edge targets.
  • Build and maintain the observability stack, including log aggregation, metrics collection, alerting, and dashboards providing real-time visibility into cluster health and system performance. Collaborate with computer vision, robotics, and software engineering teams to build low-friction developer tooling that accelerates iteration on the ACS turret platform.
  • Define and enforce infrastructure-as-code practices using Terraform, Helm, or Ansible across on-prem and cloud deployments.
  • Manage network configuration, storage provisioning, and security hardening for the bare-metal cluster in compliance with applicable defense security requirements.

What You'll Need
  • Skill at Python programming and Bash scripting
  • 2+ years of experience in platform engineering, DevOps, or infrastructure engineering, with hands-on experience in production Kubernetes environments.
  • Deep expertise in bare-metal Kubernetes administration, including CNI configuration, storage backends, node management, and cluster upgrades.
  • Hands-on experience with NVIDIA GPU infrastructure, including CUDA, device plugins, GPU scheduling in Kubernetes, and KubeFlow or similar ML orchestration tooling.
  • Strong CI/CD experience including Debian packaging, build automation, artifact management, and pipeline tooling (e.g., GitLab CI, GitHub Actions, Jenkins, or equivalent).
  • Proficiency with observability tooling (e.g. ELK) for log aggregation, metrics, and alerting in distributed Linux environments.
  • Experience building C++ and Python toolchains on Linux using CMake, with familiarity with cross-compilation for ARM targets such as NVIDIA Jetson.
  • Strong Linux systems knowledge (Debian/Ubuntu preferred), including networking, storage, kernel tuning, and security hardening for production environments.

What We Offer
  • Competitive salary
  • Health, Dental, Vision Insurance
  • Paid Time Off

Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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