1

Nvidia Engineering Jobs in Florida (NOW HIRING)

Clinical Deployment Lead

Tampa, FL ยท On-site

$120K - $150K/yr

Backed by leading investors and affiliated with Stanford StartX and NVIDIA Inception, Provect is ... Gather structured user feedback and communicate insights to product and engineering teams

Be Seen First

Embedded Software Engineer

Miramar, FL ยท On-site

$110K - $135K/yr

Serve as internal technical owner for external engineering vendors and offshore contractors working ... Experience deploying models to edge or embedded compute (NVIDIA Jetson or similar). * RESTful API ...

... Nvidia, and Bridgewater. About LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move ...

Deployment Strategist (Tampa)

Tampa, FL ยท On-site

$140 - $190/hr

You define integration requirements clearly, work with engineering to execute them, and ensure data ... AI pioneers from Google, Meta, Microsoft, NVIDIA alongside physicians and hospital leaders from ...

New

Deployment Strategist (USA)

Miami, FL ยท On-site

$116K - $150K/yr

Our esteemed partnerships with industry giants like Palantir , NVIDIA , and OpenAI underscore our ... In this role, you will operate at the intersection of strategy, data engineering, and product ...

Showing results 41-60

Nvidia Engineering information

See Florida salary details

$34.7K

$109.8K

$130K

How much do nvidia engineering jobs pay per year?

As of Sep 4, 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 is an Nvidia engineer?

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.

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.

What are the key skills and qualifications needed to thrive as an Nvidia engineer, 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 are the most commonly searched types of Nvidia Engineering jobs in Florida?

The most popular types of Nvidia Engineering jobs in Florida are:

Infographic showing various Nvidia Engineering job openings in Florida as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, 2% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $109,753 per year, or $52.8 per hour.

Drone Stack - Software Engineer Software

Front Door Defense

Fort Walton Beach, FL โ€ข On-site

$125 - $165/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Key responsibilities

  • Integrate and deploy autonomy software onto UAV hardware platforms, including interfacing with sensors and data collection.

  • Troubleshoot complex integration and software issues to ensure high reliability and performance.

  • Support live flight testing of autonomy software on UAVs and collaborate with third-party vendors and autonomy engineers for system integration.


Job description

Drone Stack - Software Engineer Lead integration and deployment of autonomous flight software on UAV hardware for defense

Location: Fort Walton Beach, Florida

Compensation: $125,000 - 165,000 USD / year

About The Role Robotic Software Engineer

As a Robotic Software Engineer, you will design and integrate complex autonomy and vehicle intelligence systems spanning hardware and software domains. You will integrate hardware and software onto vehicle platforms and deploy autonomy algorithms in both SIL, HIL and live test environments. Computer networking, code integration, and a passion for robotics integration is a must. You will collaborate closely with cross-functional teams to deliver robust, scalable solutions for defense and commercial customers, providing seamless hardware-software integration, troubleshooting, and customer-facing demonstrations.

At Applied Intuition you will:

  • Adapt and develop modular and agile autonomy capabilities across diverse defense problems
  • Integrate and deploy autonomy solutions onto embedded Linux and other hardware platforms, including interfacing with sensors and collecting data
  • Troubleshoot complex integration and software issues to ensure high reliability and performance
  • Integrate autonomy software into hardware in collaboration with autonomy engineers that supports full integration with aircraft autopilots, datalinks, sensors, PNT/GPS/INS, ground control stations, etc.
  • Support live flight test of autonomy software on group 1-5 unmanned aerial vehicles (UAVs)
  • Collaborate with 3rd party UAS vehicle vendors on the integration of Applied autonomy software onto OEM UAS hardware
  • Conduct system-level setup, testing, and validation, including software-in-the-loop and hardware-in-the-loop evaluations
  • Collaborate with autonomy engineers to implement service-oriented-architecture software and inter-process messaging systems for autonomous UASsCollaborate with DoD warfighter domain experts and 3rd party UAS vehicle vendors to develop and integrate autonomy software onto OEM hardware

Who we're looking for:

  • BS or MS in Robotics, Computer Science or related engineering field
  • 3+ years of hands-on experience working with robotic systems (hardware, software, and integration)
  • Experience with software programming languages: C++ preferred
  • Experience integrating autonomy/robotics products with Pixhawk autopilots (ArduPilot and/or PX4)
  • Experience integrating with communication busses & protocols: UART/RS232/RS422/RS485, SPI/QSPI, I2C, Ethernet
  • Experience developing in Docker, containerized deployment environments, and using Linux-based operating systems (e.g., RHEL, Ubuntu)
  • Experience using git, Visual Studio Code, GitLab
  • Familiarity with real-time, edge computing, and safety-critical systems operating in software-in-the-loop (SIL), hardware-in-the-loop (HIL), test & operational environments
  • Excellent communication skills and customer-oriented project delivery mindset
  • Willingness to travel frequently for on-site integration and demonstrations (estimated 10โ€“20%)
  • Must be a U.S. Citizen
  • Must be eligible to obtain and maintain a U.S. security clearance

Nice to have:

  • Experience in modern C++ (2011, 2017, or 2020 standards), Bash, and CMake
  • FAA Part 107 Remote Pilot Certificate
  • Experience with Agile development practices and CI/CD pipelines
  • Prior work with COTS hardware integration such as Nvidia Jetson and Raspberry Pi
  • Active U.S. SECRET clearance preferred

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. If you require an accommodation please contact people@applied.co. We will work with you!

#J-18808-Ljbffr