ZipRecruiter

Log In

1

Manager Nvidia Robotics Jobs in Florida (NOW HIRING)

Persona AI

Robotics Simulation Engineer

Pensacola, FL · On-site

Build, maintain, and extend simulation environments in NVIDIA Isaac Sim and Omniverse for humanoid robot development. * Develop and manage OpenUSD sim assets: robot models, tools, workpieces ...

Deloitte

Physical AI Senior Manager

Tampa, FL

$119K - $157K/yr

... NVIDIA, Siemens, AWS and others). Candidates should be comfortable in factories, warehouses, and ... Robotics and autonomy (e.g., industrial robotics, mobile robotics and AMRs, perception-to-action ...

Deloitte

Physical AI Senior Manager

Miami, FL

$121K - $159K/yr

... NVIDIA, Siemens, AWS and others). Candidates should be comfortable in factories, warehouses, and ... Robotics and autonomy (e.g., industrial robotics, mobile robotics and AMRs, perception-to-action ...

Deloitte

Physical AI Senior Manager

Jacksonville, FL

$117K - $154K/yr

... NVIDIA, Siemens, AWS and others). Candidates should be comfortable in factories, warehouses, and ... Robotics and autonomy (e.g., industrial robotics, mobile robotics and AMRs, perception-to-action ...

Lumenier/GetFPV

Systems Engineer

Palmetto, FL · On-site

Experience with drone, robotics, or aerospace systems Familiarity with mechanical integration ... g., NVIDIA Jetson, Raspberry Pi) Basic scripting or programming (Python, C/C++) Experience ...

Lumenier/GetFPV

Systems Engineer

Palmetto, FL · On-site

... drone, robotics, or aerospace systems · Familiarity with mechanical integration constraints ... NVIDIA Jetson, Raspberry Pi) · Basic scripting or programming (Python, C/C++) · Experience ...

All JobsNvidia Robotics JobsManager Nvidia Robotics JobsManager Nvidia Robotics Jobs in Florida

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 Florida? The most popular types of Nvidia Robotics jobs in Florida are:
What are popular job titles related to Manager Nvidia Robotics jobs in Florida? For Manager Nvidia Robotics jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Manager Nvidia Robotics jobs in Florida look for? The top searched job categories for Manager Nvidia Robotics jobs in Florida are:
Manager Nvidia Robotics jobs near you

Robotics Simulation Engineer

Persona AI

Pensacola, FL • On-site

Full-time

Re-posted 7 days ago

Job description

We're looking for a Simulation Engineer to own and expand our NVIDIA Isaac Sim and Omniverse simulation infrastructure. You'll build the digital twin environments, sim assets, and CI/CD pipelines that our autonomy team relies on daily. You will help achieve the vision in which every robot behavior we develop is prototyped, tested, and validated in simulation before it runs on hardware.
As a simulation engineer at Persona, you will have an incredible opportunity to shape the simulation infrastructure that underpins our entire autonomy stack. You will report to the Behavior Coordination Lead and work closely with machine learning, locomotion, manipulation, perception, and devops teams.
Your Role:
  • Build, maintain, and extend simulation environments in NVIDIA Isaac Sim and Omniverse for humanoid robot development.
  • Develop and manage OpenUSD sim assets: robot models, tools, workpieces, customer facility environments (shipyards, steel fabrication plants, industrial sites).
  • Create and maintain physics-accurate digital twins of customer facilities (shipyards and industrial manufacturing) for behavior validation and deployment planning.
  • Integrate all autonomy subsystems (locomotion, manipulation, perception, hands, navigation, welding) to run against Isaac Sim.
  • Design and implement behavior-level CI/CD pipelines that automatically validate robot behaviors in simulation.
  • Prototype and mock-test robot behaviors (welding, navigation, manipulation) in simulation before hardware integration.
  • Develop synthetic data generation pipelines for training perception, manipulation, and navigation models.

We're Looking For:
  • BS, MS, or PhD in Robotics, Computer Science, Mechanical Engineering, or a related field.
  • 3+ years of professional experience in robotics simulation, digital twin development, or physics-based simulation environments.
  • Strong hands-on experience with NVIDIA Isaac Sim and/or NVIDIA Omniverse.
  • Working knowledge of OpenUSD (Universal Scene Description): authoring, composition, referencing, flattening, and debugging USD stage hierarchies.
  • Proficiency in Python; comfortable writing simulation tooling, test harnesses, and automation scripts.
  • Experience with at least one physics engine: PhysX, MuJoCo, Bullet, or Drake.
  • Solid understanding of robot kinematics, dynamics, and articulated body simulation.
  • Experience developing or maintaining CI/CD pipelines for simulation or robotics software.
  • Familiarity with containerization (Docker) and DevOps practices for simulation infrastructure.
  • Ability to create and manage 3D simulation assets (meshes, materials, collision geometry, articulation definitions).

Preferred or Bonus Qualifications:
  • Experience with NVIDIA Isaac Lab for reinforcement learning environment setup and training.
  • Familiarity with NVIDIA Cosmos for synthetic data generation and scene variability.
  • Experience with ROS/ROS 2 and Gazebo simulation.
  • Experience with Unreal Engine or other real-time rendering engines for robotics visualization.
  • Background in manipulation simulation: contact modeling, grasp planning, dexterous multi-fingered hand interaction, and force/torque estimation.
  • Experience with motion capture data pipelines and motion retargeting to robot models.
  • Exposure to behavior trees, task planning, or autonomy stack architecture.
  • Knowledge of Omniverse extensions development and Kit SDK.

Apply