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Automotive Ai Jobs in Blue Ridge, TX (NOW HIRING)

Shield AI

Staff Hardware Recruiter

Dallas, TX

$120K - $180K/yr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Experience recruiting within aerospace, defense, robotics, autonomous systems, automotive, energy ...

Shield AI

Staff Hardware Recruiter

Dallas, TX · On-site

$120K - $180K/yr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Experience recruiting within aerospace, defense, robotics, autonomous systems, automotive, energy ...

NTT DATA Services

AI Sr. Director - Products

Plano, TX · On-site

... automotive, or commercial sectors. - Familiarity with cloud and AI platforms such as Azure, AWS, GCP, OpenAI, Anthropic, Mistral, Google/Gemini, Databricks, or Snowflake. - Strong executive ...

NTT DATA Services

AI Sr. Director - Products

Plano, TX · On-site

... automotive, or commercial sectors. - Familiarity with cloud and AI platforms such as Azure, AWS, GCP, OpenAI, Anthropic, Mistral, Google/Gemini, Databricks, or Snowflake. - Strong executive ...

NTT DATA Services

AI Sr. Director - Products

Plano, TX · On-site

... automotive, or commercial sectors. - Familiarity with cloud and AI platforms such as Azure, AWS, GCP, OpenAI, Anthropic, Mistral, Google/Gemini, Databricks, or Snowflake. - Strong executive ...

Shield AI

Senior Engineer, Manufacturing

Dallas, TX · On-site

$90K - $123K/yr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Experience supporting military, commercial aerospace, defense, automotive, or advanced ...

Shield AI

Senior Engineer, Manufacturing

Dallas, TX · On-site

$100K - $160K/yr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Experience supporting military, commercial aerospace, defense, automotive, or advanced ...

Shield AI

Senior Engineer, Manufacturing

Dallas, TX

$100K - $160K/yr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Experience supporting military, commercial aerospace, defense, automotive, or advanced ...

Shield AI

Senior Engineer, Manufacturing

Dallas, TX · On-site

$100K - $160K/yr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Experience supporting military, commercial aerospace, defense, automotive, or advanced ...

OrangePeople

Data & AI Solutions Architect

Plano, TX · On-site

Background in automotive, battery manufacturing, or industrial environments. Critical Success ... AI, cyber security, enterprise architecture, and beyond. For nearly two decades, we've been ...

BBB

Manager, AI and Data Analytics

Dallas, TX

Position Summary The Manager, AI and Data Analytics leads the strategy, design, and delivery of ... automotive and industrial markets. Founded in 1987 in Daphne, Alabama by the Bigler family ...

Waabi

Applied AI Security Engineer

Dallas, TX · On-site +1

$139K - $258K/yr

Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking ...

Waabi

Applied AI Security Engineer

Dallas, TX · Remote

$139K - $258K/yr

Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking ...

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Showing results 21-40

All JobsAutomotive Ai JobsAutomotive Ai Jobs in Blue Ridge, TX

Automotive Ai information

See Blue Ridge, TX salary details

$30K

$59.3K

$100.4K

How much do automotive ai jobs pay per year?

As of Sep 6, 2026, the average yearly pay for automotive ai in Blue Ridge, TX is $59,336.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,300.00 and $71,300.00 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 cities near Blue Ridge, TX are hiring for Automotive Ai jobs?

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

Automotive Ai jobs near you
Infographic showing various Automotive Ai job openings in Blue Ridge, TX as of August 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $59,336 per year, or $28.5 per hour.

Staff Hardware Recruiter

Shield AI

Dallas, TX

$120K - $180K/yr

Full-time, Part-time

Re-posted 20 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

We are looking for a highly strategic and execution-focused Staff Hardware Recruiter to help scale some of the most critical engineering organizations within the company. This person will own full-cycle recruiting for complex hardware engineering functions with a particular emphasis on Electrical Engineering, Power Systems, Avionics, and other highly specialized technical domains supporting next-generation aerospace and autonomous systems development.

This is not a traditional recruiting role. We are looking for someone who can operate as a true talent partner to engineering leadership — helping shape hiring strategy, influence workforce planning, drive prioritization discipline, and build scalable pipelines for some of the hardest-to-hire technical talent in the industry.

The ideal candidate thrives in high-growth, high-ambiguity environments and brings a strong track record of closing senior and niche hardware engineering talent while balancing speed, quality, and stakeholder partnership.

WHAT YOU’LL DO:

  • Own full-cycle recruiting for highly specialized hardware engineering roles across Electrical Engineering, Power Electronics, Embedded Systems, Avionics, PCB Design, Power Distribution, RF, Systems Integration, and related technical domains

  • Partner directly with engineering leadership and hiring managers to define hiring strategy, interview processes, and prioritization plans aligned to business objectives

  • Build and execute proactive sourcing strategies for difficult-to-find technical talent across aerospace, defense, automotive, robotics, energy, and adjacent industries

  • Act as a strategic advisor to leadership on market trends, talent availability, compensation competitiveness, and hiring risks

  • Drive strong operational rigor across pipeline management, funnel health, data accuracy, and stakeholder communication

  • Help influence workforce planning and ensure hiring activity remains aligned to approved business priorities

  • Improve recruiting scalability through process improvements, documentation, interview calibration, and tooling optimization

  • Deliver an exceptional candidate experience while maintaining urgency and high hiring quality standards

  • Mentor junior recruiters and sourcers while helping elevate recruiting best practices across the organization

REQUIRED QUALIFICATIONS:
  • 7+ years of full-cycle technical recruiting experience, including significant ownership of complex hardware engineering searches

  • Proven success recruiting Electrical Engineers, Power Electronics Engineers, Embedded Hardware Engineers, Avionics Engineers, or similar technical talent

  • Strong understanding of technical hardware concepts and engineering organizational structures

  • Experience partnering with senior engineering leadership in fast-paced or high-growth environments

  • Demonstrated ability to manage multiple complex searches simultaneously while maintaining strong hiring outcomes

  • Strong sourcing and market-mapping capabilities across highly competitive technical domains

  • Excellent communication, stakeholder management, and operational execution skills

  • Experience using ATS systems, sourcing platforms, and recruiting analytics to drive decisions and pipeline visibility

  • Ability to operate strategically while remaining highly execution-oriented

PREFERRED QUALIFICATIONS:

  • Experience recruiting within aerospace, defense, robotics, autonomous systems, automotive, energy, or other highly technical industries

  • Familiarity with hardware development lifecycle concepts, embedded systems, power systems, avionics, or electromechanical integration

  • Experience supporting hiring at scale during periods of rapid organizational growth

  • Experience influencing workforce planning, prioritization, or recruiting operations initiatives

 
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.