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Entry Level Ai Robotics Engineer Jobs (NOW HIRING)

By integrating AI agents with proprietary engineered robotics, our systems eliminate repetitive, error-prone workflows - freeing scientists to focus on discovery while increasing experimental ...

By integrating AI agents with proprietary engineered robotics, our systems eliminate repetitive, error-prone workflows - freeing scientists to focus on discovery while increasing experimental ...

By integrating AI agents with proprietary engineered robotics, our systems eliminate repetitive, error-prone workflows - freeing scientists to focus on discovery while increasing experimental ...

By integrating AI agents with proprietary engineered robotics, our systems eliminate repetitive, error-prone workflows - freeing scientists to focus on discovery while increasing experimental ...

By integrating AI agents with proprietary engineered robotics, our systems eliminate repetitive, error-prone workflows - freeing scientists to focus on discovery while increasing experimental ...

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Entry Level Ai Robotics Engineer information

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$29K

$105.6K

$169K

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

As of Jul 9, 2026, the average yearly pay for entry level ai robotics engineer in the United States is $105,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $127,000.00 per year, depending on experience, location, and employer.

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 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, and why are they important?

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 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.

More about Entry Level Ai Robotics Engineer jobs
What cities are hiring for Entry Level Ai Robotics Engineer jobs? Cities with the most Entry Level Ai Robotics Engineer job openings:
What are the most commonly searched types of Ai Robotics Engineer jobs? The most popular types of Ai Robotics Engineer jobs are:
What states have the most Entry Level Ai Robotics Engineer jobs? States with the most job openings for Entry Level Ai Robotics Engineer jobs include:
Infographic showing various Entry Level Ai Robotics Engineer job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $105,605 per year, or $50.8 per hour.
Robotics Software Engineer - Boston

Robotics Software Engineer - Boston

Braintrust

Wakefield, MA โ€ข On-site

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

About Whelix

Whelix builds intelligent robots that automate the cell culture process for biotech and pharmaceutical research. By integrating AI agents with proprietary engineered robotics, our systems eliminate repetitive, error-prone workflows - freeing scientists to focus on discovery while increasing experimental throughput, reproducibility, and scientific impact.


Weโ€™re a Boston-based startup with an additional office in Pittsburgh, actively piloting with leading research institutions and preparing for commercial launch.


Role Overview

We are seeking a Robotics Software Engineer contractor/intern to help design, build, and test robotic systems for cell culture automation.


This role is ideal for an early-career robotics engineer, recent graduate, or advanced student with hands-on robotics experience through internships, research, capstone projects, or early professional work.


You will work closely with Whelixโ€™s technical team to support the development of robotic systems that manipulate human-centric lab tools, translate workflows into automated systems, and help advance the platform from pilot stage toward commercial readiness.


This is a hands-on opportunity for someone who enjoys building, experimenting, debugging real-world systems, and solving practical engineering challenges in a fast-paced startup environment.


**Please note:

  • This is an onsite role based at Whelixโ€™s Boston office/lab and requires candidates to work onsite 5 days per week.
  • This is a contract role with an expected commitment of 30โ€“40 hours per week.
  • This is an immediate need, so candidates should be available to interview right away and start shortly after selection.
  • This contract role has the potential to convert to a full-time position based on performance, fit, and company needs.


Responsibilities:

Design & Implementation

  • Design, develop, and integrate robotic subsystems, including motion control, end-effectors, actuators, motors, and grippers
  • Develop and implement motion planning and control approaches for dynamic, constrained environments
  • Support hands-on testing, debugging, and iteration of robotic systems in real-world environments

Software Development

  • Implement control and planning algorithms using C++ and ROS/ROS2
  • Debug and refine robotic behaviors in simulation and real-world systems
  • Integrate, test, and iterate software solutions across robotic platforms
  • Work with Python and modern C++ in a Linux-based development environment

System-Level Work

  • Collaborate with mechanical and electrical engineers on robotic system integration
  • Work with scientists to understand workflow pain points, prototype solutions, and support deployment
  • Conduct root cause analysis, documentation, and Git repository management
  • Contribute as a self-starter who can identify issues, take initiative, and help improve the broader robotics platform


Qualifications

  • BS/MS/PhD in CS, ME, EE, AeroE, Robotics, or a related field, or equivalent hands-on experience
  • Hands-on experience working with real-world robotics systems such as robot arms, gantries, actuators, motors, grippers, or similar hardware
  • Experience with ROS/ROS2
  • Proficiency in Python and modern C++
  • Experience debugging robotic behaviors in simulation and/or real-world systems
  • Comfortable working in Linux and using Git workflows
  • Strong robotics project, research, internship, capstone, or early professional experience
  • Adaptable and hands-on mindset, excited by fast-paced startup environments
  • Ability to work onsite in Boston 30+ hours per week


Nice-to-Haves

  • Experience with robotic simulators such as PyBullet, MuJoCo, or Gazebo
  • Experience with computer vision or AI-based robotic control
  • Experience with build systems, containerization, or Docker
  • Understanding of Linux resource management, networking, or system packaging
  • Knowledge of industrial communication protocols such as EtherCAT or CAN
  • Exposure to biotech, lab automation, wet-lab environments, or scientific instrumentation


Perks & Growth Opportunities

  • Competitive compensation based on experience
  • Potential path to full-time conversion based on performance, fit, and company needs
  • Immersive experience in startup building, with exposure to product, strategy, fundraising, and operations
  • Work at the forefront of innovation, combining AI, robotics, and life sciences
  • End-to-end involvement, from concept development to commercial deployment
  • Cross-functional collaboration with engineers, scientists, and industry leaders
  • Hands-on access to emerging technologies in automation, robotics, computer vision, and cloud infrastructure
  • Direct impact on the future of scientific workflows through cutting-edge lab automation
  • Tap into a broad innovation ecosystem and network through our residency at MassRobotics in Boston