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Entry Level Ai Robotics Engineer Jobs (NOW HIRING)

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Robotics Software Engineer

Santa Monica, CA · On-site

$65K - $85K/yr

Role Overview We are hiring a Software & Robotics Engineer to build and deploy real-world robotic ... Nventr.ai focuses on applying artificial intelligence to real-world operational environments where ...

Lyte

Robotics Engineer (Algorithms & Software)

Sunnyvale, CA · On-site

$150K - $300K/yr

We are looking for a Robotics Engineer with a strong focus on algorithms, ML, and software to build ... For more information, visit www.lyte.ai If you're excited about building impactful technology in a ...

Figure

Helix AI Engineer, Robot Learning

San Jose, CA · On-site

... AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a ...

Figure

Helix AI Engineer, Robot Learning

San Jose, CA · On-site

... AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a ...

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All JobsEntry Level Ai Robotics Engineer Jobs

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 Jun 18, 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.

How to become a robotics engineer with no experience?

To become an entry-level AI robotics engineer with no experience, focus on gaining foundational knowledge in robotics, programming, and AI through online courses, tutorials, or community college classes. Building hands-on skills with robotics kits, learning programming languages like Python or C++, and obtaining relevant certifications can improve your prospects; internships or volunteering can also provide practical experience.

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 engineers make $500,000?

Highly experienced engineers in specialized fields such as software engineering, data engineering, or certain senior roles in AI and robotics can earn $500,000 or more annually, especially with bonuses and stock options. These roles typically require advanced skills, extensive experience, and often leadership responsibilities or working in high-paying industries like technology or finance.

Can a robotics engineer work in AI?

Yes, robotics engineers often work in AI by integrating machine learning, computer vision, and sensor data processing into robotic systems. Entry-level AI robotics engineers typically develop algorithms and use tools like Python, ROS, and TensorFlow to enhance robot autonomy and intelligence.

How to get an AI engineer job without experience?

Entry-level AI robotics engineers can improve their chances by gaining relevant skills through online courses, tutorials, and hands-on projects using tools like Python, TensorFlow, or ROS. Building a portfolio of projects, participating in internships, and obtaining certifications can demonstrate competence to employers despite limited work experience.

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:
What job categories do people searching Entry Level Ai Robotics Engineer jobs look for? The top searched job categories for Entry Level Ai Robotics Engineer jobs are:
Entry Level Ai Robotics Engineer jobs near you
Infographic showing various Entry Level Ai Robotics Engineer job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $105,605 per year, or $50.8 per hour.

Machine Learning Engineer - Robot Perception

Maven Robotics

San Francisco, CA • On-site

Full-time

Posted 18 days ago

Job description

Company Overview
Maven Robotics is building the world's leading general-purpose AI robots.
We are currently operating in stealth and are growing the world's best team in AI robotics. We are looking for self-starters that are the world's best in their field, who can innovate from a deep understanding of the fundamentals, and who share our values of unwavering truth seeking and integrity, humility, curiosity, and relentless determination.
Role Description
We are looking to recruit an exceptional Machine Learning Engineer - Robot Perception to design, implement, test, and deploy robot perception algorithms that power our robots' ability to understand and interact with the world.
In this role you will:
  • Develop, train, and deploy ML-based perception algorithms for object detection, pose estimation, tracking, and scene understanding.
  • Integrate sensor fusion techniques using cameras, depth sensors, IMUs, and tactile feedback.
  • Optimize real-time perception pipelines for low-latency and robust performance in dynamic environments.
  • Work closely with hardware engineers to design sensor configurations and optimize perception models for onboard deployment.
  • Contribute to our broader AI and autonomy stack, ensuring seamless integration with reasoning, manipulation, planning and control.
  • Collaborate across disciplines to ensure seamless integration of ML models and provide technical mentorship to junior engineers.
Qualifications
Must-have:
  • MS or PhD in machine learning, computer science, robotics, or a related field.
  • Strong background in computer vision, deep learning, and sensor fusion.
  • Proficiency in Python and C++, with experience in frameworks like PyTorch, TensorFlow, OpenCV, and ROS.
  • Hands-on experience with real-world robotics perception systems (e.g., SLAM, 3D reconstruction, multimodal perception).
  • Experience working with hardware, including setting up and calibrating cameras, LiDAR, and other sensors.
  • Experience with data collection, preprocessing, and management in the context of training ML models.
  • Self-starter attitude with strong ability to identify problems, prioritize them, then plan and execute working solutions.
  • Enthusiasm for working in a fast paced startup environment and eagerness to support the team on a variety of topics.

Nice-to-have:
  • Familiarity with robotic simulation environments (e.g., Gazebo, MuJoCo) and experience in sim-to-real transfer.
  • Experience in:
    • Developing models that can handle noisy, incomplete, or sparse data.
    • Deployment of ML models to edge devices for real-time inference (e.g., NVIDIA Jetson).
    • Accelerating ML training processes using GPU, TPU, or other HW accelerators.
    • General knowledge of robotics principles, including kinematics, dynamics, and control.

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