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Entry Level Robotics Jobs in Katy, TX (NOW HIRING)

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Entry Level Robotics information

See Katy, TX salary details

$77.1K

$88.1K

$106.9K

How much do entry level robotics jobs pay per year?

As of Sep 4, 2026, the average yearly pay for entry level robotics in Katy, TX is $88,078.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,600.00 and $93,600.00 per year, depending on experience, location, and employer.

What is entry level robotics?

Entry level robotics jobs are positions designed for individuals who are new to the robotics field, typically recent graduates or those with limited professional experience. These roles may involve assisting in the design, assembly, testing, and maintenance of robotic systems under the supervision of more experienced engineers or technicians. Common responsibilities include programming robots, troubleshooting technical issues, and supporting project teams in research and development. These jobs often require a background in engineering, computer science, or a related field, and provide valuable hands-on experience for career growth in robotics.

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

To thrive as an Entry Level Robotics professional, you need a solid understanding of robotics fundamentals, programming (such as Python or C++), and often a degree in engineering, computer science, or a related field. Familiarity with robotics platforms (like ROS), CAD software, and basic electronics or automation tools is typically required. Strong problem-solving abilities, teamwork, and effective communication help individuals stand out in this collaborative and innovative field. These skills and qualities are crucial for designing, testing, and improving robotic systems in a rapidly advancing industry.

What types of projects or tasks can I expect to work on as an entry level robotics engineer?

As an entry-level robotics engineer, you can expect to be involved in tasks such as assembling and testing robotic components, supporting software development for robotic systems, conducting experiments to validate sensors and actuators, and assisting senior engineers with troubleshooting and data analysis. You may also participate in team meetings to discuss project requirements and progress, and collaborate closely with specialists in mechanical, electrical, and software disciplines. These experiences help you build foundational skills and understanding that pave the way for more complex responsibilities as your career progresses.

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

AspectEntry Level RoboticsEntry Level Mechanical Engineer
Required CredentialsAssociate's or Bachelor's in Robotics, Mechanical, or Electrical EngineeringBachelor's in Mechanical Engineering or related field
Work EnvironmentManufacturing, automation labs, research facilitiesDesign firms, manufacturing plants, R&D departments
Industry UsageRobotics companies, automation industriesAutomotive, aerospace, manufacturing sectors
Common Search/ComparisonYesYes

Entry Level Robotics and Entry Level Mechanical Engineer roles share similar educational backgrounds and work environments, often overlapping in manufacturing and automation sectors. While robotics roles focus on designing and programming robotic systems, mechanical engineering positions emphasize designing mechanical components and systems. Both are entry-level positions suited for recent graduates seeking careers in engineering and automation industries.

How do I start a career in entry level robotics?

To start a career in entry level robotics, gain foundational knowledge in robotics, programming, and electronics through relevant education such as a bachelor's degree in engineering, computer science, or related fields. Develop skills in programming languages like Python or C++, learn to work with robotics tools and platforms, and seek internships or entry-level positions to gain practical experience.

Is it hard to get an entry level robotics job?

Entry level robotics jobs typically require foundational skills in programming, electronics, and mechanical systems, along with relevant education such as a degree or certification. Competition can be moderate, but gaining hands-on experience through internships or projects can improve chances of securing an entry-level position.

What are the most commonly searched types of Robotics jobs in Katy, TX?

The most popular types of Robotics jobs in Katy, TX are:

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

The top searched job categories for Entry Level Robotics jobs in Katy, TX are:

What cities near Katy, TX are hiring for Entry Level Robotics jobs?

Cities near Katy, TX with the most Entry Level Robotics job openings:

Infographic showing various Entry Level Robotics job openings in Katy, TX as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, 4% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $88,078 per year, or $42.3 per hour.

GenAI Python Systems Engineer - Senior Associate

Pwc

Houston, TX • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago


Key responsibilities

  • Design and optimize algorithms and models to enhance intelligent decision-making and automation

  • Develop and implement advanced AI and machine learning solutions to drive innovation in business processes

  • Transform raw data into actionable insights to support informed decision-making and business growth


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a GenAI Python Systems Engineer - Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Data and Analytics Engineering practice, you will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimizing algorithms, models, and systems to enable intelligent decision-making and automation.
As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow.
In this role, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. You will use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems, interpreting data to inform insights and recommendations.
Responsibilities
- Designing and optimizing algorithms and models to enhance intelligent decision-making and automation
- Developing and implementing advanced AI and machine learning solutions to drive innovation in business processes
- Transforming raw data into actionable insights to support informed decision-making and business growth
- Leveraging advanced technologies and techniques to design robust data solutions for clients
- Utilizing Python and machine learning libraries to build scalable AI systems
- Conducting complex data analysis to identify trends and inform strategic recommendations
- Collaborating with cross-functional teams to address data challenges and improve data quality
- Building meaningful client connections and managing stakeholder expectations effectively
- Navigating complex situations to deliver quality solutions and grow personal skills
- Upholding professional and technical standards in alignment with firm guidelines and independence requirements
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Utilizing Python programming for AI-driven automation solutions
- Implementing machine learning libraries and NLP techniques
- Analyzing complex data to generate actionable insights
- Navigating ambiguity while maintaining client-focused solutions
- Developing meaningful client relationships through effective communication

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK