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Embodied Ai Jobs in Texas (NOW HIRING)

Your work will guide how Velaura's compute platforms support emerging applications in robotics, drones, and embodied AI. This role requires strong systems-level thinking, with the ability to ...

Experience with embodied AI research or projects involving agent-environment interaction * Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR, CoRL, etc.) * Open-source ...

The AV ML Infra team at GM builds ML infrastructure designed to meet the unique demands of AI and ML innovation, supporting a wide range of use cases across teams such as Embodied AI, Simulation ...

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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 Texas?

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

What job categories do people searching Embodied Ai jobs in Texas look for?

The top searched job categories for Embodied Ai jobs in Texas are:

What cities in Texas are hiring for Embodied Ai jobs?

Cities in Texas with the most Embodied Ai job openings:

Infographic showing various Embodied Ai job openings in Texas as of August 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Robotics & Autonomy Systems Architect

Velaura

Austin, TX • On-site

$200 - $500/hr

Other

Medical, Dental, Vision, PTO

Posted 7 days ago


Job description

Role Overview

We are looking for a Robotics Systems Architect who deeply understands how modern robotic and drone systems are designed and deployed. In this role, you will help bridge the gap between real-world robotic systems and next-generation compute platforms. You will analyze the architecture of robotics and autonomous systems—from sensors
and perception pipelines to planning, control, and onboard compute—and help translatethese requirements into hardware and system architectures. Your work will guide how Velaura’s compute platforms support emerging applications in robotics, drones, and embodied AI. This role requires strong systems-level thinking, with the ability to
understand complete robotics stacks and map their workloads onto efficient compute architectures.

Responsibilities
  • Analyze modern robotics and drone system architectures, including sensing, perception, planning, control, and onboard compute.
  • Understand how autonomy stacks process sensor data and translate those requirements into system-level compute needs.
  • Map robotics and autonomy workloads onto compute platforms, identifying performance, latency, and power constraints.
  • Work with hardware architects to define compute architectures optimized for robotics and embodied AI workloads.
  • Evaluate real-world deployment requirements for robotics systems, including reliability, real-time performance, safety, and energy efficiency.
  • Collaborate with AI model architects and silicon designers to align robotics workloads with next-generation hardware capabilities.
  • Develop system-level workload models representing robotics and drone use cases.
  • Help guide product direction by identifying emerging requirements across robotics, AMRs, drones, and other embodied AI systems.
Required Qualifications
  • Strong understanding of robotics or drone system architectures.
  • Experience working with autonomy stacks including perception, sensor fusion, planning, and control.
  • Experience with robotics frameworks such as ROS, Isaac, or similar autonomy platforms.
  • Strong systems engineering mindset and ability to reason about end-to-end system performance.
  • Experience deploying or architecting compute platforms for robotics or autonomous systems.
  • Ability to work across hardware, software, and system architecture teams.
Preferred Qualifications
  • Experience designing compute architectures for robotics or edge AI systems.
  • Familiarity with sensor modalities such as cameras, lidar, radar, and IMUs.
  • Experience with real-time systems and robotics control loops.
  • Experience with drones, autonomous vehicles, or industrial robotics.
  • Understanding of how AI models integrate into robotics pipelines.

$200,000 - $500,000 a year

Compensation & Benefits

At Velaura, we believe exceptional talent deserves exceptional rewards. Compensationfor this role includes a competitive base salary, performance-based incentives, andequity participation, allowing team members to share in the company’s long-termsuccess.

Your base pay will depend on your skills, qualifications, experience, and location.

In addition to compensation, Velaura offers a comprehensive benefits package that may include medical, dental, and vision coverage; paid time off; flexible work arrangements; professional development opportunities; and other benefits designed to support the well-being and growth of our team.

Velaura is committed to pay equity and transparency and regularly benchmarks compensation to ensure we remain competitive in the market.

Why Velaura?

Velaura is building next-generation compute technology for cloud, edge, and PhysicalAI. Our solutions will enable robots, autonomous systems, drones, and other intelligent machines to operate efficiently in the physical world.
This is an opportunity to help build foundational technology at a time when the industry is undergoing fundamental change. You will work alongside experienced leaders, architects, engineers, and operators who have delivered industry-defining products across mobile, cloud, semiconductor, and AI platforms. If you enjoy solving difficult problems, working across disciplines, and helping shape the future of Physical AI, we would love to hear from you.

Equal Employment Opportunity and Accommodations

Velaura is an Equal Opportunity Employer that is committed to inclusion and diversity. Qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, disability or protected veteran status. We also take affirmative action to offer employment opportunities to minorities, women, individuals with disabilities, and protected veterans.

Velaura is committed to working with qualified individuals with physical or mental disabilities. Applicants who would like to contact us regarding the accessibility of our website or who need special assistance or a reasonable accommodation for any part of the application or hiring process may contact us at: careers@velaura.ai. This contact information is for accommodation requests only. Evaluation of requests for reasonable accommodation will be determined on a case-by-case basis.

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