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Entry Level Ai Robotics Engineer Jobs in Houston, TX

YO AI Labs

Robotics/Mechatronics Expert - Remote

Houston, TX · Remote

$80 - $100/hr

In this role, you will apply your engineering knowledge to real-world robotics and mechatronics challenges while demonstrating how advanced AI coding agents can support complex technical workflows.

Posted today

Persona AI

Robotics Assembly Lead

Houston, TX · On-site

Persona AI founding team has a decades-long history in humanoid robotics, bionics, and product ... When a step doesn't work as written, you get it corrected with manufacturing engineering rather ...

Varsity Tutors

Robotics Tutor

Sugar Land, TX · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching robot design, sensor programming, and autonomous behavior development. Guides ...

Varsity Tutors

Robotics Tutor

Pearland, TX · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching robot design, sensor programming, and autonomous behavior development. Guides ...

Varsity Tutors

Robotics Tutor

Houston, TX · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching robot design, sensor programming, and autonomous behavior development. Guides ...

Varsity Tutors

Robotics Tutor

Missouri City, TX · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching robot design, sensor programming, and autonomous behavior development. Guides ...

Persona AI

Structural Robotics Assembler

Houston, TX · On-site

Persona AI founding team has a decades-long history in humanoid robotics, bionics, and product ... Assemble torso, chassis, and limb structures from engineering drawings and work instructions.

Persona AI

IT Support Specialist

Houston, TX · On-site

Persona AI is a ~80-person robotics company whose people are a mix of robotics engineers, ML researchers, hardware/mechanical teams, and operations - which means the IT environment is more demanding ...

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Entry Level Ai Robotics Engineer information

See Houston, TX salary details

$27.7K

$100.8K

$161.4K

How much do entry level ai robotics engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for entry level ai robotics engineer in Houston, TX is $100,850.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,700.00 and $121,300.00 per year, depending on experience, location, and employer.

What does an entry level AI robotics engineer do?

An Entry Level AI Robotics Engineer assists in designing, developing, and testing robotic systems that incorporate artificial intelligence. They typically work on tasks such as programming robots, integrating sensors, developing algorithms for machine learning, and troubleshooting hardware and software issues. Under the supervision of senior engineers, they help implement and optimize AI models to improve robotic performance and autonomy. This role often involves collaboration with multidisciplinary teams and learning new technologies to stay current in the rapidly evolving field of robotics.

What are the key skills and qualifications needed to thrive as an entry level AI robotics engineer?

To thrive as an Entry Level AI Robotics Engineer, you need a strong background in computer science, robotics, and mathematics, typically supported by a relevant bachelor's degree. Familiarity with programming languages like Python or C++, robotics simulation tools (e.g., ROS, Gazebo), and basic knowledge of machine learning frameworks is highly valued. Problem-solving skills, creativity, and effective teamwork help you excel in collaborative engineering environments. These competencies are vital for developing innovative robotic solutions and ensuring smooth integration of AI technologies into real-world applications.

What are some common challenges an entry level AI robotics engineer might face in their first year, and how can they overcome them?

Entry Level AI Robotics Engineers often encounter challenges such as bridging the gap between theoretical knowledge and practical implementation, adapting to rapidly evolving technologies, and collaborating effectively with multidisciplinary teams. Navigating unfamiliar hardware platforms or debugging complex sensor integrations can also be daunting at first. To overcome these challenges, new engineers should actively seek mentorship, participate in code reviews, and engage in hands-on projects, which help build confidence and foster a deeper understanding of both AI and robotics systems.

What is the difference between Entry Level Ai Robotics Engineer vs Entry Level Mechanical Robotics Engineer?

AspectEntry Level Ai Robotics EngineerEntry Level Mechanical Robotics Engineer
Required CredentialsBachelor's in Computer Science, Robotics, or related; knowledge of AI, programming, and roboticsBachelor's in Mechanical Engineering, Robotics, or related; knowledge of mechanical systems and design
Work EnvironmentSoftware development, AI algorithm implementation, robotics programmingMechanical design, prototyping, assembly, and testing of robotic systems
Employer & Industry UsageTech companies, AI startups, robotics firmsManufacturing, automation, industrial robotics

Both roles involve working with robotics but focus on different aspects: AI Robotics Engineers emphasize software, algorithms, and AI integration, while Mechanical Robotics Engineers concentrate on mechanical design and hardware. The choice depends on your interest in software versus hardware within robotics.

What are the most commonly searched types of Ai Robotics Engineer jobs in Houston, TX?

The most popular types of Ai Robotics Engineer jobs in Houston, TX are:

What are popular job titles related to Entry Level Ai Robotics Engineer jobs in Houston, TX?

For Entry Level Ai Robotics Engineer jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Robotics Engineer jobs in Houston, TX look for?

The top searched job categories for Entry Level Ai Robotics Engineer jobs in Houston, TX are:

What cities near Houston, TX are hiring for Entry Level Ai Robotics Engineer jobs?

Cities near Houston, TX with the most Entry Level Ai Robotics Engineer job openings:

Entry Level Ai Robotics Engineer jobs near you
Infographic showing various Entry Level Ai Robotics Engineer job openings in Houston, TX as of June 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $100,850 per year, or $48.5 per hour.

Process Engineer (UPK)

FIVE STAR MANAGEMENT

Houston, TX • On-site

Full-time

Re-posted 23 days ago

Job description

The Process Automation and Technology Engineer is responsible for driving the automation of key production processes in lamination and conversion operations. This role focuses on integrating advanced technologies, including artificial intelligence (AI), robotics, and process monitoring systems, to enhance productivity, improve quality, and streamline material handling. A key responsibility is bridging the gap between automation systems and employees, ensuring seamless interaction and upskilling teams to leverage automation effectively.

Key Responsibilities

1. Product Inspection Automation

  • Develop and implement automated systems for product inspection in the lamination and conversion processes.
  • Collaborate with quality teams to ensure automated inspections meet required standards and specifications.
  • Optimize inspection systems to detect defects and deviations in real-time, reducing waste and improving quality consistency.

2. Automatic Packaging Systems

  • Design, implement, and optimize automatic packaging solutions to streamline operations and improve efficiency.
  • Work with packaging engineers and production teams to ensure systems align with operational and customer requirements.
  • Monitor and maintain packaging systems to minimize downtime and maximize output.

3. Artificial Intelligence for Job Packs

  • Develop and deploy AI tools to automate the creation and management of job packs, ensuring accuracy and consistency.
  • Integrate AI solutions into production workflows, enabling seamless generation and access to job instructions.
  • Train employees to utilize AI-powered tools effectively and ensure smooth adoption of these technologies across teams.

4. Automation of Material Handling

  • Design and implement automated material handling systems to improve the efficiency and safety of production processes.
  • Collaborate with supply chain and production teams to ensure systems optimize material flow and inventory management.
  • Continuously evaluate and upgrade systems to accommodate new production demands and technologies.

5. Process Condition Monitoring

  • Develop and deploy real-time monitoring systems to track critical process conditions in lamination and conversion operations.
  • Implement predictive analytics tools to identify potential issues and ensure proactive maintenance.
  • Provide actionable insights from process data to improve machine performance and reduce downtime.

6. Employee-Automation Integration

  • Bridge the gap between automation technologies and employees by simplifying interfaces and workflows.
  • Develop and deliver training programs to upskill employees, enabling them to interact effectively with automation systems.
  • Foster a collaborative environment that encourages employees to embrace and leverage technology in daily operations.

7. Continuous Improvement and Collaboration

  • Partner with cross-functional teams (engineering, production, quality) to identify and implement automation opportunities.
  • Lead or support continuous improvement projects aimed at enhancing operational efficiency and reducing costs.
  • Stay updated on the latest advancements in automation and technology to ensure the organization remains competitive.

Qualifications:

Technical Skills:
  • Bachelor’s degree in Automation Engineering, Mechatronics, Electrical Engineering, or a related field.
  • 3 years of experience in industrial automation, process improvement, or a related role.
  • Proven experience in implementing AI, robotics, and real-time monitoring systems in manufacturing environments.
  • Strong knowledge of PLC programming, SCADA systems, and robotics integration.
  • Familiarity with AI tools, machine learning frameworks, and IoT platforms.
  • Experience with automated inspection systems, material handling equipment, and packaging machinery.
  • Strong analytical and problem-solving skills with attention to detail.
  • Effective communication skills to present data-driven insights to technical and non-technical audiences.
  • Ability to work collaboratively with cross-functional teams.
  • Effective communication skills to interact with all levels of the organization and external stakeholders.
  • Knowledge of sustainability practices and recyclable packaging solutions.
  • Familiarity with quality control methodologies such as Six Sigma or Lean Manufacturing.

Why Join?

  • Be part of a forward-thinking company that values innovation and sustainability.
  • Lead a dynamic team in producing high-quality, cutting-edge packaging solutions.
  • Competitive salary and comprehensive benefits package.

Apply