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Entry Level Ai Robotics Jobs (NOW HIRING)

Skild AI

Physics Simulation Scientist

San Mateo, CA

$300K/yr

Company Overview At Skild AI , we are building the world's first general‑purpose robotic ... Base Salary Range: $100,000 USD - $300,000 USD Seniority level * Entry level Employment type

XPENG

AI Intern - VLA Deployment

Santa Clara, CA · On-site

... aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to ... We are looking for an entry-level engineer or intern to support the optimization and deployment of ...

XPENG

AI Intern - VLA Deployment

Santa Clara, CA

... aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to ... We are looking for an entry-level engineer or intern to support the optimization and deployment of ...

Pwc

AI & GenAI Data Scientist - Manager

Toledo, OH · On-site

$99K - $232K/yr

... Robotics - At least one of the following: Certifications aligned to data engineering, machine ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Washington, DC · On-site

$99K - $232K/yr

... Robotics - At least one of the following: Certifications aligned to data engineering, machine ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Miami, FL · On-site

$99K - $232K/yr

... Robotics - At least one of the following: Certifications aligned to data engineering, machine ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Kansas City, MO · On-site

$99K - $232K/yr

... Robotics - At least one of the following: Certifications aligned to data engineering, machine ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Oklahoma City, OK · On-site

$99K - $232K/yr

... Robotics - At least one of the following: Certifications aligned to data engineering, machine ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Chicago, IL · On-site

$99K - $232K/yr

... Robotics - At least one of the following: Certifications aligned to data engineering, machine ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Fayetteville, AR · On-site

$99K - $232K/yr

... Robotics - At least one of the following: Certifications aligned to data engineering, machine ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Milwaukee, WI · On-site

$99K - $232K/yr

... Robotics - At least one of the following: Certifications aligned to data engineering, machine ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Birmingham, AL · On-site

$99K - $232K/yr

... Robotics - At least one of the following: Certifications aligned to data engineering, machine ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Tampa, FL · On-site

$99K - $232K/yr

... Robotics - At least one of the following: Certifications aligned to data engineering, machine ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Ai Robotics information

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$84K

$96K

$116.5K

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

As of Jun 17, 2026, the average yearly pay for entry level ai robotics in the United States is $96,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $102,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level AI Robotics professional, and why are they important?

To thrive as an Entry Level AI Robotics professional, you need a solid grounding in computer science, robotics engineering, and basic programming languages such as Python or C++, usually backed by a relevant bachelor’s degree. Familiarity with robotics platforms (like ROS), machine learning frameworks (such as TensorFlow), and simulation tools is typically expected. Strong problem-solving abilities, teamwork, and effective communication set standout candidates apart. These skills and qualifications are vital for developing, testing, and improving intelligent robotic systems in collaborative and fast-evolving technology environments.

Can I get an AI job with no experience?

Entry level AI robotics positions often require some foundational knowledge of programming, mathematics, and machine learning concepts, but many employers are willing to train candidates with strong problem-solving skills and a willingness to learn. Gaining experience through online courses, certifications, or personal projects can improve your chances of securing such roles. Having familiarity with tools like Python, TensorFlow, or ROS can also be beneficial for entry-level candidates.

How to get an entry-level robotics job?

To secure an entry-level AI robotics position, candidates should develop foundational skills in programming languages like Python or C++, gain hands-on experience with robotics platforms such as ROS, and pursue relevant certifications or coursework in robotics, automation, or AI. Internships, project portfolios, and familiarity with hardware components can also improve job prospects in this field.

Are there any entry-level AI jobs?

Yes, entry-level AI jobs are available in roles such as AI technician, data analyst, or junior machine learning engineer. These positions often require foundational knowledge of programming, basic understanding of AI concepts, and familiarity with tools like Python or TensorFlow, making them accessible to recent graduates or those new to the field.

What jobs can you get with AI and robotics?

Entry level AI robotics professionals can pursue roles such as robotics technician, AI software developer, automation engineer, or research assistant. These jobs typically require skills in programming, machine learning, and understanding of robotic systems, often using tools like Python, ROS, or MATLAB.

What are entry level AI robotics jobs?

Entry level AI robotics jobs are positions designed for individuals who are new to the field of artificial intelligence and robotics, often recent graduates or those transitioning from related areas. These roles typically involve assisting in the design, programming, testing, and maintenance of robotic systems that use AI algorithms. Common job titles include Robotics Engineer (Junior), AI Research Assistant, and Robotics Technician. Responsibilities may include data collection, basic coding, testing prototypes, and supporting senior engineers in developing intelligent robotic solutions.

What are some common challenges faced by entry-level AI robotics professionals during their first year on the job?

Entry-level AI robotics professionals often encounter challenges such as adapting to complex, multidisciplinary projects that blend software, hardware, and AI algorithms. They may also need to quickly learn new programming languages and frameworks specific to robotics, as well as familiarize themselves with real-time debugging and hardware integration. Effective communication and collaboration with cross-functional teams, including mechanical engineers and data scientists, is essential for success. Additionally, transitioning from academic or theoretical knowledge to practical, real-world applications can require a steep learning curve, but most organizations offer mentorship and structured onboarding to support new team members.
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Entry Level Ai Robotics jobs near you
Infographic showing various Entry Level Ai Robotics job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 43% Full Time, 54% Part Time, and 1% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.

Physics Simulation Scientist

Skild AI

San Mateo, CA

$300K/yr

Full-time

Posted 8 days ago

Job description

Company Overview

At Skild AI, we are building the world’s first general‑purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data‑driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots in society. Our team comprises individuals at all experience levels, from new graduates to domain experts; while relevant industry experience is helpful, we value demonstrated abilities and attitude above all.

Position Overview

We are seeking a Physics Simulation Scientist to lead advances in the simulation and physics‑solving backbone behind Skild’s robot foundation model training. You will collaborate with external experts in GPU‑accelerated physics engines and work with our internal robotics and learning teams to build a next‑generation, open‑source simulation stack for robotics sim‑to‑real.

You’ll partner closely with engineers scaling simulation scene generation and with ML researchers pushing the limits of sim‑to‑real transfer. The ideal candidate brings deep physics‑simulation expertise and hands‑on experience implementing and optimizing algorithms on modern GPUs.

Responsibilities
  • Improve and develop new physics solvers and modeling methods for high‑DoF, contact‑rich robotics tasks.
  • Design and implement GPU‑accelerated solvers focused on throughput, stability, and scalability.
  • Profile and optimize simulation performance on modern GPU hardware and distributed clusters.
  • Work with external collaborators and the open‑source community to advance simulation for robotics.
  • Collaborate with scene‑generation engineers to scale robotic experience across diverse real‑world environments.
  • Partner with ML researchers to improve sim‑to‑real transfer through better physical modeling, calibration, and training regimes.
  • Contribute to the long‑term technical direction of Skild’s physical modeling and sim‑to‑real strategy.
Preferred Qualifications
  • MS or PhD in Physics, Robotics, Computer Science, Applied Math, Engineering, or a related field, or equivalent hands‑on experience.
  • Strong track record working on physics engines or high‑fidelity simulators for articulated rigid bodies; experience with deformables, fluids, or differentiable simulation is a plus.
  • Deep understanding of dynamics, contact modeling, constraint‑based methods, and integrators, including accuracy–speed tradeoffs.
  • Expertise in CUDA and GPU programming with proven ability to optimize for scale.
  • Proficiency in C++ and Python, and experience building reliable systems used by other technical teams.
  • Familiarity with how modern ML/RL pipelines consume simulation (vectorized environments, domain randomization, large‑scale rollouts).
  • Experience with real robot platforms and strong intuition for where simulation diverges from reality.
  • Publications, open‑source contributions, or shipped systems in simulation, robotics, graphics, or numerical computing are a strong plus.

Base Salary Range: $100,000 USD - $300,000 USD

Seniority level
  • Entry level
Employment type
  • Full‑time
Job function
  • Research
  • Analyst
  • Information Technology
Industries
  • Technology
  • Information and Internet
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