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Ai Lab Jobs in Texas (NOW HIRING)

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Lab Strategy & Infrastructure * Own the overall vision, architecture, and roadmap for engineering ...

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Lab Strategy & Infrastructure * Own the overall vision, architecture, and roadmap for engineering ...

We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first AI software engineer. Our team is extremely talent-dense. Among our founding team, we have world ...

Latent AI in Austin, Texas, is looking for a Prototyping Lab Engineer & Manager to enhance lab operations supporting groundbreaking medical device innovations. Responsibilities include managing lab ...

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... We are seeking a highly skilled Hardware in the Loop Lab Technician to support the fabrication ...

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... We are seeking a highly skilled Hardware in the Loop Lab Technician to support the fabrication ...

As part of our flagship Agentic AI Lab in Frisco, Texas, our engineering teams bridge technical rigor with real-world business impact, turning complex AI research into production-grade systems that ...

Account Director

Austin, TX · On-site

$180K - $220K/yr

We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first AI software engineer. Our team is extremely talent-dense. Among our founding team, we have world ...

Senior Accountant

Austin, TX · On-site

$73K - $92K/yr

We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first AI software engineer. Our team is extremely talent-dense. Among our founding team, we have world ...

Showing results 21-40

Ai Lab information

What is an AI Lab?

An AI Lab is a specialized research and development center focused on artificial intelligence technologies. These labs typically bring together scientists, engineers, and researchers to work on advancing machine learning, data science, robotics, and related fields. AI Labs can be part of universities, tech companies, or independent organizations, and they often collaborate on cutting-edge projects, publish research, and develop AI-powered solutions for real-world problems. Their work plays a crucial role in shaping how AI is integrated into various industries and society.

What are the key skills and qualifications needed to thrive in an AI Lab, and why are they important?

To thrive in an AI Lab, you need strong expertise in machine learning, statistics, and programming, often supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and cloud computing platforms, as well as experience with data management systems, is typically required. Creative problem-solving, collaboration, and excellent communication skills help distinguish top contributors in this environment. These skills ensure effective research, innovation, and teamwork, driving successful AI development and implementation.

What are some common challenges faced when working in an AI Lab, and how can new team members overcome them?

Working in an AI Lab often involves tackling rapidly evolving technologies and collaborating with experts from diverse backgrounds, such as data scientists, engineers, and domain specialists. New team members may find it challenging to stay updated on cutting-edge research and to bridge communication gaps between different disciplines. To overcome these challenges, it's helpful to regularly attend team meetings, engage in knowledge-sharing sessions, and seek mentorship from experienced colleagues. Emphasizing continuous learning and open communication greatly enhances both individual growth and team success.

What is the difference between Ai Lab vs Data Scientist?

AspectAi LabData Scientist
Required CredentialsTypically a degree in computer science, AI, or related fields; certifications in AI/ML are commonDegree in statistics, computer science, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentResearch labs, tech companies, or R&D departments focusing on AI developmentBusiness environments, analyzing data to inform decisions, often in tech, finance, or healthcare
Employer & Industry UsagePrimarily in tech companies, research institutions, and AI startupsAcross industries like finance, healthcare, marketing, and tech firms

While both roles involve working with data and algorithms, an Ai Lab focuses on developing and researching AI technologies, whereas a Data Scientist analyzes data to generate insights and support decision-making. The roles often overlap but differ mainly in their primary objectives and work environments.

How do I get into an AI lab?

To join an AI lab, candidates typically need a strong background in computer science, machine learning, or related fields, often demonstrated through a relevant degree or research experience. Gaining skills in programming languages like Python, familiarity with AI frameworks such as TensorFlow or PyTorch, and participating in research projects or internships can improve chances. Networking with professionals and publishing work can also help in securing a position in an AI lab.

What is the easiest AI Lab job to get into?

Entry-level roles in AI labs such as data annotation, data labeling, or research assistant positions are generally the easiest to obtain. These jobs often require basic technical skills, familiarity with AI concepts, and sometimes a relevant degree or certification, making them accessible for newcomers to the field.

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

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

What cities in Texas are hiring for Ai Lab jobs?

Cities in Texas with the most Ai Lab job openings:

Infographic showing various Ai Lab 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.

Senior Staff Lab Manager (R5090)

Shield AI

Dallas, TX • On-site

$170K - $250K/yr

Full-time

Re-posted 9 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. 

Job Description:

We are seeking an experienced Senior Staff Lab Manager to lead the design, development, operation, and long-term strategy of our engineering laboratories. This is a highly technical leadership role responsible for creating world-class lab environments that enable hardware and software engineering teams to rapidly develop, integrate, test, and validate complex systems.

The ideal candidate combines deep technical expertise with strong operational leadership, driving lab architecture, infrastructure modernization, asset management, and engineering support while leading a team of engineers and technicians.

What you'll do:

Lab Strategy & Infrastructure

  • Own the overall vision, architecture, and roadmap for engineering laboratory infrastructure.
  • Design, build, and commission new laboratory spaces to support evolving engineering programs.
  • Define standards for laboratory layout, power distribution, networking, cooling, safety, security, and scalability.
  • Develop long-term modernization plans to ensure laboratory capabilities remain aligned with engineering needs.
  • Evaluate and implement new technologies, tools, and automation to improve laboratory efficiency and reliability.

Lab Operations

  • Own day-to-day laboratory operations across multiple engineering disciplines.
  • Develop scheduling processes that maximize lab utilization while minimizing conflicts and downtime.
  • Plan and coordinate preventative maintenance, calibration, repairs, and equipment lifecycle management.
  • Manage laboratory uptime, availability, and operational readiness.
  • Establish operational metrics, KPIs, and reporting for lab performance.

Engineering Systems & Integration

  • Support complex hardware-in-the-loop (HIL), software-in-the-loop (SIL), integration, and validation environments.
  • Develop laboratory standards for networking, compute infrastructure, storage, instrumentation, and data acquisition.
  • Partner with engineering teams to architect robust development and test environments.
  • Ensure laboratories support rapid system integration and reproducible testing.

Leadership

  • Lead and develop a multidisciplinary team of lab engineers, infrastructure engineers, and technicians.
  • Recruit, mentor, and grow high-performing technical staff.
  • Prioritize work across multiple concurrent engineering programs.
  • Establish standard operating procedures, documentation, and best practices.
  • Foster a culture of safety, ownership, continuous improvement, and technical excellence.

Collaboration

  • Work closely with Hardware, Electrical, Mechanical, Software, Systems, Manufacturing, and Test Engineering organizations.
  • Partner with IT, Facilities, Security, and EH&S teams to deliver reliable and secure laboratory environments.
  • Manage vendor relationships for laboratory equipment, infrastructure, and service providers.
Required qualifications:
  • Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Systems Engineering, Computer Science, or a related technical discipline.
  • 10+ years of experience supporting complex engineering laboratories or technical infrastructure.
  • 5+ years of technical leadership or people management experience.
  • Demonstrated experience designing and building engineering labs from concept through deployment.
  • Strong understanding of laboratory infrastructure, including:
    • Power distribution
    • Network architecture
    • Server and storage systems
    • Instrumentation
    • Environmental controls
    • Safety systems
  • Experience managing equipment lifecycle, maintenance, calibration, upgrades, and modernization.
  • Experience supporting multidisciplinary engineering organizations.
  • Laboratory infrastructure design and architecture
  • System-level engineering and integration
  • Networking (Ethernet, VLANs, managed switches, routing)
  • Hardware-in-the-loop (HIL) and Software-in-the-loop (SIL) systems
  • Asset management and inventory systems
  • US Citizenship required due to security clearance requirements.
    Active Secret clearance.
Preferred qualifications:
  • Experience supporting robotics, aerospace, defense, automotive, or autonomous systems development.
  • Experience with secure laboratory environments and classified or regulated development environments.
  • Knowledge of systems engineering processes and system architecture.
  • Experience implementing laboratory automation and infrastructure-as-code practices.
  • Familiarity with cloud-connected engineering workflows and hybrid infrastructure.
  • Programming and scripting experience:    
    • Python, MATLAB, C/C++, etc.
  • Active Top Secret clearance or eligible to achieve
#LI-AD6
#LE

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.