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Nvidia Engineering Jobs in Florida (NOW HIRING)

Persona AI

Robotics Simulation Engineer

Pensacola, FL · On-site

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 ...

Deloitte

Physical and Spatial AI Engineer III

Tampa, FL · On-site

$54.25 - $73/hr

You'll work alongside talented professionals re-imagining and re-engineering operations and ... Help clients define future-state capability stacks aligned to NVIDIA and/or GCP ecosystems ...

Deloitte

Physical and Spatial AI Engineer III

Miami, FL · On-site

$55 - $74/hr

You'll work alongside talented professionals re-imagining and re-engineering operations and ... Help clients define future-state capability stacks aligned to NVIDIA and/or GCP ecosystems ...

BNY

AI Infrastructure Engineer

Lake Mary, FL · On-site

$94K - $123K/yr

They are seeking an AI Infrastructure Engineer to support enterprise-grade NVIDIA AI infrastructure, automate operations, and maintain AI training and inference pipelines. Responsibilities : • Be ...

BNY

AI Infrastructure Engineer

Lake Mary, FL · On-site

$94K - $123K/yr

They are seeking an AI Infrastructure Engineer to support enterprise-grade NVIDIA AI infrastructure, automate operations, and maintain AI training and inference pipelines. Responsibilities : • Be ...

Deloitte

Physical and Spatial AI Architect

Miami, FL · On-site

You'll work alongside talented professionals re-imagining and re-engineering operations and ... Strong client experience aligned to NVIDIA and/or Google Cloud Platform stacks, with emphasis on ...

Deloitte

Physical and Spatial AI Architect

Tampa, FL · On-site

You'll work alongside talented professionals re-imagining and re-engineering operations and ... Strong client experience aligned to NVIDIA and/or Google Cloud Platform stacks, with emphasis on ...

Alocity

Be Seen First

Senior Edge Software Engineer (Onsite - Fort Lauderdale, FL)

Pembroke Pines, FL · On-site

$90K - $150K/yr

NVIDIA Edge Computing * Video Language Models (VLMs) * Large Language Models (LLMs) * AI Agents * Real-Time Event Processing * Cloud-to-Edge Intelligence AI-First Engineering Culture We leverage ...

Alocity

Be Seen First

Senior Edge Software Engineer (Onsite - Fort Lauderdale, FL)

Pembroke Pines, FL · On-site

$90K - $150K/yr

NVIDIA Edge Computing * Video Language Models (VLMs) * Large Language Models (LLMs) * AI Agents * Real-Time Event Processing * Cloud-to-Edge Intelligence AI-First Engineering Culture We leverage ...

Hut 8

Senior Network Engineer

Miami, FL

$99K - $136K/yr

Ability to coordinate across infrastructure, facilities, and engineering teams. * Strong sense of ownership and operational accountability. Preferred Certifications * CCNP / CCIE * NVIDIA Networking ...

Hut 8

Senior Network Engineer

Miami, FL · On-site

$99K - $136K/yr

Ability to coordinate across infrastructure, facilities, and engineering teams. * Strong sense of ownership and operational accountability. Preferred Certifications * CCNP / CCIE * NVIDIA Networking ...

Hut 8

Senior Network Engineer

Miami, FL

$99K - $136K/yr

Ability to coordinate across infrastructure, facilities, and engineering teams. * Strong sense of ownership and operational accountability. Preferred Certifications * CCNP / CCIE * NVIDIA Networking ...

MOBY Robotics

Autonomy & Software Engineer

Miami, FL · On-site

Develop simulation environments in platforms like NVIDIA Isaac Sim. * Build, test and maintain ... Contribute to system-level architecture decisions as part of a small founding engineering team ...

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Nvidia Engineering information

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$109.8K

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How much do nvidia engineering jobs pay per year?

As of Jun 12, 2026, the average yearly pay for nvidia engineering in Florida is $109,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,100.00 and $129,300.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in specialized fields such as software, hardware, or systems engineering at major technology companies can earn $500,000 or more annually, often including bonuses, stock options, and other compensation. Achieving this level typically requires extensive experience, advanced skills, and sometimes leadership roles or executive responsibilities.

What are the key skills and qualifications needed to thrive in the Nvidia Engineering position, and why are they important?

To thrive in Nvidia Engineering, candidates typically need strong proficiency in computer engineering, software development, and a solid understanding of hardware architecture, often backed by a relevant degree such as Electrical Engineering or Computer Science. Familiarity with tools like CUDA, C/C++, Python, and version control systems, as well as experience with GPU programming, are highly valued, and certifications such as Nvidia's Deep Learning Institute credentials can enhance a candidate's profile. Excellent problem-solving, team collaboration, and communication skills set top performers apart in this role. These skills and qualifications enable engineers to contribute effectively to complex, innovative projects that drive Nvidia's technological advancements.

What is an Nvidia Engineering job?

An Nvidia Engineering job involves designing, developing, and optimizing hardware or software solutions in areas such as graphics processing, AI, and high-performance computing. Engineers at Nvidia work on cutting-edge technologies, including GPUs, deep learning frameworks, and system architecture. Roles vary from hardware design and verification to software development and AI research, depending on expertise. Strong skills in programming, computer architecture, and problem-solving are typically required.

Which engineers does NVIDIA hire?

NVIDIA hires a variety of engineers including hardware engineers, software engineers, AI and deep learning engineers, and systems engineers. Candidates typically need strong technical skills, experience with programming languages like C++ and Python, and knowledge of GPU architectures or AI frameworks. The company values innovation, collaboration, and relevant technical certifications or degrees in engineering or computer science.

Is it hard to get hired at NVIDIA?

Getting hired as an engineer at NVIDIA can be competitive due to the company's reputation and high standards. Candidates typically need strong technical skills, relevant experience, and a solid understanding of areas like GPU architecture, software development, or AI. The hiring process often involves multiple interviews and technical assessments.

What types of projects do Nvidia Engineers typically work on, and how is teamwork structured within the engineering department?

Nvidia Engineers commonly engage in projects related to GPU development, AI and deep learning solutions, software driver optimization, and next-generation hardware innovation. Project teams are often multidisciplinary, bringing together software, hardware, and systems engineers to collaborate closely on end-to-end product development. Engineers frequently work in agile, fast-paced environments, attend regular team stand-ups, and participate in cross-functional meetings. This collaborative structure fosters creativity, accelerates problem-solving, and ensures high-quality product delivery while offering team members exposure to diverse technologies and career growth opportunities.

How much do NVIDIA engineers get paid?

NVIDIA engineers' salaries vary based on experience, role, and location, but the average annual salary for software engineers at NVIDIA typically ranges from $100,000 to $150,000. Senior engineers and those with specialized skills in AI, graphics, or hardware may earn higher compensation, often including bonuses and stock options.
What are the most commonly searched types of Nvidia Engineering jobs in Florida? The most popular types of Nvidia Engineering jobs in Florida are:
What are popular job titles related to Nvidia Engineering jobs in Florida? For Nvidia Engineering jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Nvidia Engineering jobs in Florida look for? The top searched job categories for Nvidia Engineering jobs in Florida are:
Nvidia Engineering jobs near you
Infographic showing various Nvidia Engineering job openings in Florida as of June 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 83% Physical, 8% Hybrid, and 9% Remote job distribution, with an average salary of $109,753 per year, or $52.8 per hour.

Robotics Simulation Engineer

Persona AI

Pensacola, FL • On-site

Full-time

Posted 5 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