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Temporary Nvidia Autonomous Driving Jobs in Florida

Deployment Strategist (USA)

Miami, FL

$116K - $150K/yr

Unit8 is dedicated to driving AI adoption in non-digital industries , accelerating their digital ... Pioneering role and autonomy: As a key member of our US growth, you will have the freedom to shape ...

VP, Customer Success (Tampa Bay, FL)

Tampa, FL · On-site

$126K - $161K/yr

... autonomous, clinical conversations with patients. We have trained our own LLMs as part of our ... Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Backed by the world's leading healthcare and ...

VP, Customer Success (Tampa Bay, FL)

Tampa, FL · On-site

$130K - $167K/yr

... autonomous, clinical conversations with patients. We have trained our own LLMs as part of our ... Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Backed by the world's leading healthcare and ...

EHS Manager

Palatka, FL · On-site

$124K - $149K/yr

... autonomous safety culture, ensuring strict legislative compliance, and driving risk-reduction ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

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Temporary Nvidia Autonomous Driving information

What is a temporary Nvidia autonomous driving job?

Temporary Nvidia Autonomous Driving jobs are short-term positions at Nvidia focused on developing, testing, or supporting autonomous vehicle technologies. These roles may involve software engineering, data analysis, system testing, or support functions related to self-driving car platforms. Temporary roles are typically project-based, offering opportunities to work on cutting-edge artificial intelligence and robotics applications within the autonomous driving sector. Such positions provide valuable experience in the fast-evolving field of automated vehicles, even if they are not permanent.

What skills and qualifications are needed for a temporary Nvidia autonomous driving engineer?

To excel as a Temporary Nvidia Autonomous Driving Engineer, you need strong programming skills (especially in C++ and Python), a solid background in robotics or computer vision, and typically a degree in computer science, engineering, or a related field. Experience with autonomous vehicle platforms, Nvidia DRIVE, deep learning frameworks (like TensorFlow or PyTorch), and familiarity with sensor fusion technologies are highly valued. Excellent problem-solving abilities, teamwork, and adaptability are crucial soft skills for integrating new technologies and collaborating across multidisciplinary teams. These competencies ensure safe, innovative solutions in the rapidly evolving field of autonomous vehicles.

What are common challenges faced by a temporary Nvidia autonomous driving specialist, and how can applicants prepare for them?

Temporary specialists in Nvidia's Autonomous Driving division often encounter fast-paced project timelines and rapidly evolving technical requirements. Adapting quickly to new tools, frameworks, and proprietary systems is essential, as is a willingness to collaborate across multidisciplinary teams such as software engineering, data annotation, and hardware integration. Applicants can prepare by demonstrating strong foundational knowledge in machine learning, computer vision, and robotics, as well as effective communication skills to navigate a dynamic, innovative environment.
What are the most commonly searched types of Nvidia Autonomous Driving jobs in Florida? The most popular types of Nvidia Autonomous Driving jobs in Florida are:
What job categories do people searching Temporary Nvidia Autonomous Driving jobs in Florida look for? The top searched job categories for Temporary Nvidia Autonomous Driving jobs in Florida are:
What cities in Florida are hiring for Temporary Nvidia Autonomous Driving jobs? Cities in Florida with the most Temporary Nvidia Autonomous Driving job openings:
Infographic showing various Temporary Nvidia Autonomous Driving job openings in Florida as of August 2026, with employment types broken down into 67% Full Time, and 33% Temporary. Highlights an 67% In-person, and 33% Hybrid job distribution.

Drone Stack - Hardware Engineer

Applied Intuition

Fort Walton Beach, FL • On-site

$100 - $150/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job description

About Applied Intuition

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co.

We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.

About the Role

As a Senior Robotics Hardware Engineer at Applied Intuition, you will serve as the primary technical link between hardware design, GNC, and software teams to deliver integrated, flight-ready systems. You will lead the critical hardware-software bring-up process, driving initial validation of flight systems from the bench to the airfield while defining seamless communication interfaces across flight controllers and ground stations. In this role, you will architect repeatable verification workflows and high-fidelity simulation environments, including Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL), to enable rapid iteration and reduce development cycle times. By setting standards for hardware abstraction and building custom real-time monitoring tools, you will ensure the delivery of robust, scalable, and maintainable flight software for next‑generation autonomous machines.

At Applied Intuition, you will:
  • Lead the hardware-software bring-up process, driving initial integration and validation of flight systems from the bench to the airfield.

  • Deliver integrated, flight-ready systems by bridging the gap between autopilot firmware, onboard compute, and peripheral vehicle hardware.

  • Define and control system interfaces across flight controllers, payloads, and ground stations to ensure seamless communication and data integrity.

  • Make critical system-level tradeoffs between embedded software performance, autonomy requirements, and physical hardware constraints.

  • Design and scale automated test frameworks, including high‑fidelity Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) environments with realistic sensor and vehicle simulation.

  • Architect repeatable verification workflows that enable rapid iteration and reduce the cycle time from code change to validated flight behavior.

  • Build custom tooling for real‑time monitoring and post‑flight analysis to convert complex test data into actionable system improvements.

  • Serve as the technical authority for integration and verification, acting as the primary link between hardware design, GNC, and software teams.

  • Support flight test campaigns as a hands‑on technical lead, troubleshooting integration issues and ensuring mission success.

  • Set the standards for design patterns and hardware abstraction to ensure robust, scalable, and maintainable flight software.

We're looking for someone who has:
  • Degree: Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related technical field.

  • At least 5 years of experience in robotics hardware integration, embedded systems, or aerospace engineering.

  • Deep expertise in vehicle electronics integration, specifically bridging autopilot firmware (e.g., PX4, ArduPilot) with onboard compute (e.g., NVIDIA Jetson, Raspberry Pi) and peripheral sensors.

  • Strong proficiency in C++ and Python, with experience writing hardware abstraction layers or drivers for real‑time systems.

  • Hands‑on experience with communication protocols such as CAN, UART, I2C, SPI, and MAVLink.

  • Proven track record of building and scaling simulation environments, specifically Hardware-in-the-Loop (HIL) testing for autonomous vehicles or drones.

  • Demonstrated ability to lead system‑level bring‑up, moving complex robotics platforms from initial bench‑top prototyping to successful field or flight operations.

  • Excellent troubleshooting skills and a collaborative mindset, with the ability to act as the technical 'glue' between GNC, software, and mechanical teams.

Security Requirements
  • Must be a U.S. Citizen

  • Must hold or be eligible for a U.S. Secret security clearance

For more information about U.S. security clearances: click here.

Nice to have:
  • FAA Part 107 Remote Pilot Certificate.

  • Hands‑on experience with R/C systems, drone assembly, or flight operations.

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.

Please reference the job posting subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full‑time position in the location listed is: $100,000 to $150,000 USD annually.

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

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 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.

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