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Embodied Ai Jobs in Alabama (NOW HIRING)

S.-based defense and industrial technology company that delivers embodied AI-powered collaborative autonomy solutions, advanced avionics, precision-manufactured components, UAVs, and advanced ...

S.-based defense and industrial technology company that delivers embodied AI-powered collaborative autonomy solutions, advanced avionics, precision-manufactured components, UAVs, and advanced ...

S.-based defense and industrial technology company that delivers embodied AI-powered collaborative autonomy solutions, advanced avionics, precision-manufactured components, UAVs, and advanced ...

Embodied Ai information

What is embodied AI?

Embodied AI refers to artificial intelligence systems that are integrated into physical entities, such as robots, which can perceive, act, and interact with the real world. Unlike traditional AI, which operates purely in digital environments, Embodied AI enables machines to understand and respond to their surroundings through sensors and actuators. This field combines elements of robotics, computer vision, natural language processing, and machine learning to create agents that can learn from their experiences and adapt to new tasks. Embodied AI is used for applications like autonomous vehicles, service robots, and interactive agents.

What are the common challenges faced by professionals working in embodied AI roles?

Professionals in Embodied AI often encounter challenges related to integrating physical hardware with complex AI algorithms. This can include troubleshooting issues between sensors, actuators, and software to ensure smooth real-world operation. Additionally, working in multidisciplinary teams—combining robotics, computer vision, and machine learning—requires strong collaboration and communication skills. Staying up-to-date with rapid advancements and testing models in unpredictable, real-world environments are also key aspects of the role.

What are the key skills and qualifications needed to thrive as an embodied AI engineer, and why are they important?

To thrive as an Embodied AI Engineer, you need a strong background in robotics, computer vision, machine learning, and programming languages such as Python or C++. Familiarity with robotics middleware (like ROS), simulation tools (such as Gazebo or PyBullet), and relevant AI frameworks is typically required, along with advanced degrees in computer science or engineering often preferred. Creative problem-solving, teamwork, and effective communication are key soft skills that set candidates apart in this interdisciplinary field. These skills and qualities are essential for developing intelligent systems that can physically interact with the world and adapt to complex, real-world environments.

What is the difference between Embodied Ai vs Robotics Engineer?

AspectEmbodied AiRobotics Engineer
Required CredentialsDegree in AI, Computer Science, or related fieldsDegree in Robotics, Mechanical, or Electrical Engineering
Work EnvironmentResearch labs, AI development firms, tech companiesManufacturing plants, research labs, engineering firms
Industry UsageAI-driven applications, virtual agents, autonomous systemsPhysical robot design, automation, hardware integration
Common Search/ComparisonFocuses on AI embodiment in virtual or physical agentsFocuses on hardware and mechanical aspects of robots

Embodied Ai primarily involves developing AI systems that can operate within physical or virtual agents, emphasizing AI algorithms and interaction. Robotics Engineers focus on designing and building physical robots, integrating hardware and software. While both roles overlap in AI and robotics, Embodied Ai centers on AI behavior within agents, whereas Robotics Engineers work on the physical construction and mechanics of robots.

What are popular job titles related to Embodied Ai jobs in Alabama?

For Embodied Ai jobs in Alabama, the most frequently searched job titles are:

What cities in Alabama are hiring for Embodied Ai jobs?

Cities in Alabama with the most Embodied Ai job openings:

Infographic showing various Embodied Ai job openings in Alabama as of August 2026, with employment types broken down into 80% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Senior Developer Advocate Engineer - Robotics and Physical AI

Nvidia

Madison, AL • On-site

Full-time

Re-posted 3 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

Physical AI and Artificial Intelligence (AI) are key markets for NVIDIA. Researchers and developers actively embrace full-stack optimizations to accelerate their workloads and research. To help them onboard Accelerated Computing, NVIDIA leads a series of hackathons and bootcamps along with its partners.

Hackathons are short-typically week-long-intensive coding sessions where experienced mentors team up with groups of researchers and data scientists to guide them in accelerating or optimizing their projects using accelerated infrastructure and enterprise-grade software, across a variety of programming models, frameworks, and tools. We are looking for a Senior Developer Advocate Engineer to own technical engagements for a rapidly growing program of Open Hackathons and Bootcamps focused on the use of AI in Physical AI & Robotics. In this position, you will closely collaborate with developers to help adopt the NVIDIA accelerated computing stack (CPU and GPU technologies) for their work, optimize code and AI workflows, and build a growing community.

You will build strategic relationships with our partners, mentor at hackathons, and help craft materials to educate attendees and prepare them for hackathons. Do you have a passion for community-based development, connecting people, and mentoring. If so, we would like to speak with you right away.

What you'll be doing: Stay abreast of the latest developments in robotics, physical AI, digital twins, and develop proof-of-concept solutions for real-world applications. Build and refine training materials and mentor team members solving real-world problems using NVIDIA Omniverse, Isaac Sim, Isaac Lab, Cosmos, and related stacks to create simulations, digital twins, and robotics workflows, etc. Collaborate and provide feedback to NVIDIA product teams to help with product adoption, bugs, feature requests, and additional activities through our hackathon program.

Promote through publishing blogs and papers, facilitating presentations, and using other media that convey the impact of the work accomplished by teams at the hackathons. Mentor developers and researchers to integrate NVIDIA technology using Omniverse, Cosmos, synthetic data, and coding-agent-assisted digital twins workflows to define architectures, compute footprints, test plans, and rollout strategies. Strategize, identify, and assess potential sites, mentors, and key applications for Open Hackathons and Bootcamps.

Assess each hackathon's computing and software infrastructure. Write comprehensive internal feedback reports and find opportunities for improvement. What we need to see: Master's degree in Computer Science, Computer Engineering, or relevant field (or equivalent experience).

12+ years of relevant enterprise experience in developing robotics, physical AI, digital twins, simulation, or auto/AV solutions at scale, including synthetic data generation, evaluation, benchmarking, inference optimization, and deployment. Fluent in using the NVIDIA accelerated computing stack for HPC and AI workloads. Capability to think strategically, while jumping directly into day-to-day event and account management.

Ability to thrive in a highly dynamic environment and to lead change through multi-functional teamwork. Proven ability to understand partners' goals and distill that feedback into an action plan that addresses core needs. Excellent verbal, written, and interpersonal communication skills.

Ways to stand out from the crowd: Experience in deploying and managing data center-scale applications with Omniverse, Cosmos, or embodied AI toolchains. Active OSS contributions in robotics, simulation, physical AI, 3D perception, or autonomy infrastructure. Experience in facilitating and instructing at group training events.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 6, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.


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Benefits

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US