Artificial Intelligence OPT Jobs in Texas
Artificial intelligence F-1 OPT sponsorship jobs in Texas are concentrated in Austin, Dallas, and Houston, where companies like Dell Technologies, AT&T, and a growing cluster of AI startups actively hire international students. Texas's expanding tech sector and lack of state income tax make it a competitive destination for OPT candidates pursuing machine learning, data science, and AI engineering roles.
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INTRODUCTION
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond. We operate at the cutting edge of embodied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better. You will join a team developing state-of-the-art general-purpose robots designed to operate in human spaces and with human tools. It is designed to work alongside humans, mobilize to human spaces, and manipulate the world around it. Apptronik is a pioneering company specializing in advanced robotics and automation solutions. We are seeking a talented Robot Platform Software Engineer to join our team in Austin, TX. This role offers an exciting opportunity to work on cutting-edge technology platforms that power our next-generation robotic systems.
ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES:
- Platform Evolution: Contribute to the development and implementation of scalable software solutions that evolve existing architectures to support next-generation robotic systems.
- Architecture: Participate in architectural discussions and provide technical input to help define the roadmap for platform software, focusing on modularity and performance.
- Hardware-Software Integration: Work closely with hardware teams to execute de-risking tasks and validate new components, ensuring reliable communication and integration across the robotic stack.
- Resource Profiling: Assist in evaluating compute resource requirements by profiling complex software stacks and identifying opportunities for optimization in constrained environments.
- System Adaptation: Support the porting and optimization of established software frameworks to new hardware platforms, maintaining high standards for system stability and reliability.
- Performance Benchmarking: Conduct profiling and benchmarking tests to identify system bottlenecks, helping to ensure the platform scales effectively across diverse hardware.
- Engineering Standards: Adhere to and promote software engineering best practices, including participating in code reviews, maintaining clear documentation, and contributing to continuous integration efforts.
SKILLS AND REQUIREMENTS:
- Strong C++ Command: Proficiency in C++ within a Linux environment, with experience in system-level programming and an understanding of performance-sensitive code.
- Architectural Awareness: Solid understanding of complex, multi-component system architectures and the ability to contribute meaningful design ideas for safety and scalability.
- Hardware Interaction: Experience with hardware integration and testing, including familiarity with low-level drivers, communication protocols (e.g., CAN, EtherCAT), or sensor data handling.
- Analytical Profiling: Ability to perform resource usage analysis (CPU, memory, latency) to help inform system specifications and hardware selection.
- Adaptability with Existing Code: Proven ability to work within and improve established codebases, balancing the need for modernization with a respect for proven architectural foundations.
- Distributed Systems: Familiarity with API design, and containerization tools like Docker or Kubernetes in a robotics or embedded context.
- Collaborative Mindset: Strong communication skills and the ability to work effectively in a cross-functional environment, bridging the gap between hardware constraints and software requirements.
EDUCATION and/or EXPERIENCE:
- Bachelor's degree in computer science, Engineering, or related field; Master's degree in computer science or equivalent preferred.
- 4+ years of experience in software engineering, with a focus on developing system-level software.
This is a direct hire. Please, no outside Agency solicitations.
Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
LOCATION
Austin, TX
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Search Artificial Intelligence Jobs in TexasArtificial Intelligence OPT Sponsorship Jobs in Texas: Frequently Asked Questions
Which artificial intelligence companies sponsor F-1 OPT visas in Texas?
Several major Texas-based employers have a history of hiring F-1 OPT candidates for artificial intelligence roles, including Dell Technologies, AT&T, Texas Instruments, and ExxonMobil (which has a large AI and data science practice in Houston). Austin's AI startup ecosystem, including companies in the autonomous vehicles and enterprise software space, also regularly brings on OPT students. Sponsorship willingness varies by team and role, so confirming directly with recruiters is important.
Which cities in Texas have the most artificial intelligence F-1 OPT sponsorship jobs?
Austin leads Texas for artificial intelligence OPT sponsorship jobs, driven by a dense concentration of tech companies and university talent pipelines from UT Austin. Dallas-Fort Worth is a close second, with major employers in financial technology, telecom, and enterprise AI clustered in the Metroplex. Houston rounds out the top three, particularly for AI roles in energy, healthcare data, and logistics. San Antonio has a smaller but growing cybersecurity and AI presence.
What types of artificial intelligence roles typically qualify for F-1 OPT sponsorship in Texas?
Roles that most commonly qualify include machine learning engineer, data scientist, AI research scientist, natural language processing engineer, computer vision engineer, and MLOps engineer. These positions typically require a bachelor's or master's degree in computer science, electrical engineering, statistics, or a directly related field, which satisfies the specialty occupation standard needed for eventual H-1B visa sponsorship. Generalist roles without a clear degree-to-job-function match are less likely to qualify.
How do I find artificial intelligence F-1 OPT sponsorship jobs in Texas?
Migrate Mate is built specifically for international students searching for visa-friendly roles, and you can filter directly by F-1 OPT, artificial intelligence, and Texas to surface employers who have sponsored international candidates before. This removes the guesswork of cold-applying to companies with no sponsorship history. Given the competition for AI roles in Austin and Dallas, targeting employers with a documented sponsorship track record significantly improves your chances of converting an OPT role into long-term status.
Are there any Texas-specific considerations for F-1 OPT sponsorship in artificial intelligence?
Texas has no state income tax, which affects how compensation compares to offers in states like California or New York, but it doesn't change federal OPT or H-1B rules. One practical consideration: Texas hosts several large defense and energy contractors that may have security clearance requirements for certain AI roles, and F-1 OPT holders are generally ineligible for clearances. Focusing on commercial AI employers or academic research institutions avoids this common point of friction.