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Automotive Ai Jobs in Spring, TX (NOW HIRING)

Persona AI

Mechanical Engineer

Houston, TX · On-site

Houston, TX Travel: 10% Who We Are Persona AI is building humanoid robots for the most demanding ... automotive, or aerospace. What You Will Be Doing * Create and refine mechanical designs for ...

New

Persona AI

Quality Engineer

Houston, TX · On-site

$68K - $88K/yr

Persona AI is developing and commercializing rugged, multi-purpose humanoid robots that perform ... Automotive (OEM or Tier 2/3 supplier), medical device, consumer electronics, robotics, or aerospace ...

Persona AI

Structural Robotics Assembler

Houston, TX · On-site

Persona AI founding team has a decades-long history in humanoid robotics, bionics, and product ... Tolerance-critical assembly in aerospace, automotive, oil and gas, medical device, or semiconductor ...

Persona AI, Inc.

Quality Engineer

Houston, TX · On-site

$80 - $120/hr

Persona AI is developing and commercializing rugged, multi-purpose humanoid robots that perform ... Automotive (OEM or Tier 2/3 supplier), medical device, consumer electronics, robotics, or aerospace ...

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Showing results 21-40

All JobsAutomotive Ai JobsAutomotive Ai Jobs in Spring, TX

Automotive Ai information

See Spring, TX salary details

$29.4K

$58.1K

$98.3K

How much do automotive ai jobs pay per year?

As of Aug 22, 2026, the average yearly pay for automotive ai in Spring, TX is $58,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,500.00 and $69,900.00 per year, depending on experience, location, and employer.

What is Automotive AI?

Automotive AI refers to the integration of artificial intelligence technologies in vehicles and automotive systems to enhance safety, efficiency, and user experience. This includes applications such as driver assistance systems, autonomous driving, predictive maintenance, and smart infotainment features. AI enables vehicles to perceive their environment, make decisions, and learn from data, transforming how cars operate and interact with drivers. As the industry advances, Automotive AI is becoming crucial for developing connected, autonomous, and intelligent vehicles.

What are some common challenges faced by professionals working in Automotive AI, and how can they address them?

Professionals in Automotive AI often face challenges such as integrating AI algorithms with legacy vehicle systems, ensuring the safety and reliability of autonomous features, and keeping up with rapidly evolving technologies. Collaboration with multidisciplinary teams—including software engineers, hardware designers, and automotive safety experts—is essential to address these challenges. Staying updated on industry standards and participating in continuous learning opportunities can help professionals remain effective and innovative in this dynamic field.

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

To thrive as an Automotive AI Engineer, you need a strong background in computer science, machine learning, robotics, and automotive systems, typically demonstrated by a relevant degree and experience in AI-driven vehicle technologies. Familiarity with tools like Python, TensorFlow, ROS (Robot Operating System), and automotive software standards such as AUTOSAR is important, as well as experience with sensor data and simulation platforms. Strong problem-solving skills, teamwork, and the ability to communicate complex technical concepts to multidisciplinary teams set candidates apart. These skills are vital for developing safe, innovative AI solutions that advance vehicle automation and enhance driving experiences.

What is the difference between Automotive Ai vs Automotive Software Engineer?

AspectAutomotive AiAutomotive Software Engineer
Required CredentialsDegree in AI, Machine Learning, Computer Science; certifications in AI/MLDegree in Software Engineering, Computer Science; coding certifications
Work EnvironmentResearch labs, automotive R&D centers, tech companiesAutomotive manufacturers, suppliers, tech firms
Industry UsageDeveloping autonomous driving systems, sensor data analysisBuilding vehicle control software, embedded systems

Automotive Ai specialists focus on developing AI algorithms for autonomous vehicles and sensor data processing, often requiring expertise in machine learning. Automotive Software Engineers design and implement vehicle software systems, including control units and embedded applications. While both roles work within the automotive industry, Automotive Ai roles are more research and AI algorithm-focused, whereas Automotive Software Engineers concentrate on software development and integration.

What are popular job titles related to Automotive Ai jobs in Spring, TX?

For Automotive Ai jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Automotive Ai jobs in Spring, TX look for?

The top searched job categories for Automotive Ai jobs in Spring, TX are:

What cities near Spring, TX are hiring for Automotive Ai jobs?

Cities near Spring, TX with the most Automotive Ai job openings:

Automotive Ai jobs near you
Infographic showing various Automotive Ai job openings in Spring, TX as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $58,126 per year, or $27.9 per hour.

Copy of CFD & Aerodynamic Engineer (AI Training & Evaluation)

Lifted, an Upwork Company™

Houston, TX • Remote

$80 - $110/hr

Contractor

Posted 24 days ago

Job description

Company Description

An enterprise client is seeking CFD & Aerodynamic Engineers to help train and evaluate next-generation AI systems by contributing real-world engineering expertise.

This opportunity is offered by a leading AI data platform that enables organizations to build intelligent applications powered by high-quality human expertise.

    Job Description

    This opportunity is ideal for experienced CFD and Aerodynamics Engineers who enjoy solving complex engineering problems and want to contribute their expertise to the development of advanced AI systems.

    What You'll Do:

    • Design compact, self-contained CFD and aerodynamics tasks that evaluate AI models' engineering reasoning.
    • Create clear and technically accurate problem statements covering topics such as boundary conditions, mesh quality, flow regimes, and simulation setup.
    • Develop deterministic scoring checkers that objectively evaluate AI-generated responses.
    • Produce verified reference solutions to ensure each task is technically accurate and fully solvable.
    • Review and refine engineering tasks to improve clarity, physical accuracy, and appropriate difficulty.
    • Apply real-world experience with OpenFOAM to develop practical and realistic engineering scenarios.
    • Work independently in a fully remote, asynchronous environment with complete scheduling flexibility.
    Qualifications

    Requirements:

    • Bachelor's degree (or higher) in Aerospace Engineering, Mechanical Engineering, or a closely related discipline.
    • Hands-on experience using OpenFOAM for computational fluid dynamics simulations.
    • Strong foundation in fluid mechanics, aerodynamics, and heat transfer principles.
    • Experience with:
      • Mesh generation
      • Turbulence modeling
      • Boundary condition specification
      • Post-processing and simulation analysis
    • Ability to write clear, precise, and objectively verifiable engineering problems.
    • Excellent written English communication skills with the ability to explain complex technical concepts clearly.
    • Self-motivated, detail-oriented, and able to work independently with minimal supervision.

    Nice to Haves:

    • Experience working on aerospace, automotive, motorsports, renewable energy, or industrial CFD applications.
    • Familiarity with advanced CFD validation and verification techniques.
    • Experience reviewing technical documentation or engineering research.
    • Previous experience contributing to AI, simulation, or data annotation projects.
    Additional Information
    • Fully remote, independent contractor opportunity.
    • Flexible schedule with an expected workload of 10-39 hours per week, depending on project demand.
    • Compensation ranges from $80-$110 USD per hour, based on qualifications and experience.
    • Payments are issued weekly for completed work from the previous week.
    • If selected, you will receive an Upwork contract offer along with onboarding instructions for the client's task platform.
    • To be considered, candidates must:
      • Submit an Upwork proposal.
      • Complete the required Google Form.
      • Accept the Upwork contract to receive onboarding instructions, assessment access, and project payments.
    • Due to the high volume of applicants, only shortlisted candidates will be contacted.

    Apply