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Entry Level Google Robotics Engineer Jobs in Dallas, TX

Aivra Health LLC

AI/ML Engineer

Dallas, TX · On-site

AWS / Azure / Google Cloud Platform * Docker * Kubernetes * MLflow * CI/CD * MLOps * PySpark ... entry level candidates are welcome , provided they have practical AI/ML projects and strong ...

SynergisticIT

Junior/Entry Level Coder - Remote

Arlington, TX · On-site

$60K - $78K/yr

... Google, Paypal, Western Union, Client, Visa, Walmart Lab S etc to name a few. Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data ...

Kiongroup

Controls Engineer Technical Support

Plano, TX

$65K - $140K/yr

As the top tier engineer in the escalation process, you will support your pier engineers in finding ... robotics, and PLC-controlled systems. Handle escalated cases from entry-level support and ...

Kiongroup

Controls Engineer Technical Support

Plano, TX · On-site

$65K - $140K/yr

As the top tier engineer in the escalation process, you will support your pier engineers in finding ... robotics, and PLC-controlled systems. Handle escalated cases from entry-level support and ...

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All JobsGoogle Robotics Engineer JobsEntry Level Google Robotics Engineer JobsEntry Level Google Robotics Engineer Jobs in Dallas, TX

Entry Level Google Robotics Engineer information

See Dallas, TX salary details

$28.7K

$104.5K

$167.2K

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

As of Aug 21, 2026, the average yearly pay for entry level google robotics engineer in Dallas, TX is $104,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,600.00 and $125,600.00 per year, depending on experience, location, and employer.

Does Google hire entry level Google Robotics Engineers?

Google does hire entry-level robotics engineers, often for roles involving research, development, and deployment of robotics and AI technologies. Candidates typically need a strong background in robotics, programming, and related skills, and may be expected to have relevant internships or project experience.

How to become an entry level Google robotics engineer?

To become an entry-level Google robotics engineer, candidates typically need a bachelor's degree in robotics, computer science, electrical engineering, or a related field. Gaining experience with programming languages like Python or C++, understanding robotics frameworks such as ROS, and developing skills in hardware integration are important. Internships or project work in robotics can also improve prospects for entry-level roles.

What are the most commonly searched types of Google Robotics Engineer jobs in Dallas, TX?

The most popular types of Google Robotics Engineer jobs in Dallas, TX are:

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

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

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

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

Entry Level Google Robotics Engineer jobs near you
Infographic showing various Entry Level Google Robotics Engineer job openings in Dallas, TX as of July 2026, with employment types broken down into 75% Full Time, 11% Part Time, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $104,468 per year, or $50.2 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Mckinney, TX • On-site

Other

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply