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Entry Level Ai Robotics Jobs (NOW HIRING)

Research Assistant

San Mateo, CA · On-site

$150K - $200K/yr

... and robotics. This is an entry-level research role for individuals with less than 3 years of ... The company embraces both large-scale AI and robotics as core to its DNA. Our team of researchers ...

... 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 ...

... 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 ...

Job Objective: The RPA Analyst is an established performer who facilitates and supports the ... Provide guidance, code review, and mentorship to entry-level analysts. * Support the team's AI ...

Job Objective: The RPA Analyst is an established performer who facilitates and supports the ... Provide guidance, code review, and mentorship to entry-level analysts. * Support the team's AI ...

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting ... We are seeking an entry-level Structures / Mechanical Test Engineer with a strong mechanical ...

At TQA, we're building one of the most exciting automation and AI delivery teams in the industry - and we're looking for future RPA Developers to join our growing talent pool. If you're curious ...

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Experience Level: We are recruiting across a wide range of experience levels from entry level ...

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Experience Level: We are recruiting across a wide range of experience levels from entry level ...

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Experience Level: We are recruiting across a wide range of experience levels from entry level ...

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Experience Level: We are recruiting across a wide range of experience levels from entry level ...

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Experience Level: We are recruiting across a wide range of experience levels from entry level ...

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Experience Level: We are recruiting across a wide range of experience levels from entry level ...

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Experience Level: We are recruiting across a wide range of experience levels from entry level ...

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Experience Level: We are recruiting across a wide range of experience levels from entry level ...

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Experience Level: We are recruiting across a wide range of experience levels from entry level ...

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Entry Level Ai Robotics information

See salary details

$84K

$96K

$116.5K

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

As of Jul 11, 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.

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.
More about Entry Level Ai Robotics jobs
What cities are hiring for Entry Level Ai Robotics jobs? Cities with the most Entry Level Ai Robotics job openings:
What are the most commonly searched types of Ai Robotics jobs? The most popular types of Ai Robotics jobs are:
What states have the most Entry Level Ai Robotics jobs? States with the most job openings for Entry Level Ai Robotics jobs include:
Infographic showing various Entry Level Ai Robotics 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 $96,000 per year, or $46.2 per hour.

Mechanical Engineer, Robotics Hardware

FieldAI

Irvine, CA • On-site

Full-time

Re-posted 4 days ago


Job description

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

Hardware Team: The Hardware Team at Field AI develops perception and compute payloads that power autonomous robotics systems in complex real world environments. Our work spans the full hardware stack designing and integrating sensing systems (LiDAR, camera, TOF, IMU, GPS), embedded compute (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). The team focuses on both development (research, design, prototyping, testing) and operations (production, testing, QA, debugging). We're a small, fast-moving team, and we care deeply about improving: 1) core capabilities, 2) system reliability, 3) system scalability. As a growing team we are also building operational systems and procedures from the ground up. 
 
Mechanical Systems Role: As a Mechanical Engineer on the Hardware Team at Field AI, you will contribute to the design and implementation of mechanical systems that house and support sensing and compute platforms in real-world environments. From ruggedized enclosures to thermal management to manufacturability, your work will be critical to ensuring our systems operate reliably in the field. Responsibilities may span the full lifecycle from CAD through production to field support. You will collaborate closely with electrical, compute, and systems engineers to build tightly integrated solutions ready for deployment in challenging field environments.  Additionally while your focus will be on mechanical systems you will likely contribute across all hardware domains.
 
What You Will Get To Do
 
1. Mechanical System Design
  • Structures: Design and model mechanical structures including external enclosures, internal compute frames, and load-bearing chassis.
  • Mounts: Design and validate robust sensor mounts, payload attachment points, and mechanical interfaces.
  • Ingress Protection: Implement IP-rated solutions with gaskets, seals, membranes, and coatings to meet water/dust ingress standards.
  • Thermal Management: Incorporate thermal mitigation strategies such as fans, heat sinks, conductive paths, and airflow guides.
  • Mass & Volume Budgets: Ensure adherence to payload constraints, including tight volumetric envelopes and weight limitations.
2. Mechanical System Implementation
  • CAD & Simulation: Build detailed SolidWorks CAD assemblies. Run FEA and thermal simulations to validate strength, durability, and heat dissipation.
  • Material & Component Selection: Choose materials and components to meet mass, strength, thermal, and manufacturability constraints.
  • Design for Production: Apply DFM, DFA, DFS principles throughout the design lifecycle.
  • System Testing: Conduct mechanical load testing (shock, vibration), thermal validation, ingress tests, and sensor alignment assessments.
  • Prototyping: Rapidly iterate on prototypes for fit checks, thermal evaluations, and integration trials.
  • Documentation & Budgets: Generate mechanical drawings, GD&T annotations, BOMs, and assembly instructions for fabrication and QA. Manage weight, volume, and thermal budgets.
3. Mechanical System Production & Servicing
  • Build: Work with vendors and contract manufacturers to procure mechanical hardware. Develop QA checks for incoming units. Support payload integration and scaling.
  • Debug: Investigate mechanical failures, deformation, and environmental weaknesses during testing and deployments.
  • Monitor: Develop protocols for monitoring the system mechanical health and loads.
 
What You Have
 
  • Education: B.S., M.S., or Ph.D. in Mechanical Engineering, Mechatronics, or related field.
  • Experience Level: We are recruiting across a wide range of experience levels from entry level engineers to senior and staff engineers.
  • CAD Expertise: Proficient with SolidWorks or equivalent mechanical CAD platforms.
  • Thermal & Structural Analysis: Familiarity with FEA and thermal modeling tools.
  • Field-Ready Design: Experience designing hardware that survives vibration, shock, thermal cycling, and environmental exposure.
  • Manufacturing Knowledge: Experience designing for CNC, sheet metal, additive manufacturing, and assembly workflows.
  • Mechanical Systems Integration: Experience working across teams to integrate mechanical systems with compute, sensors, and power electronics.
  • Lab Skills: Comfort with mechanical debugging, thermal test setups, vibration tables, and ingress testing.
  • Cross Functional Robotic Skills: Ability to contribute electrical, sensing, and embedded computing work to deliver robust integrated systems.
 
What Will Set You Apart
 
  • Scaling:  Experience taking systems from prototype to large scale production.
  • Field Environments: Experience developing systems for harsh field environments.
  • Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots.
  • Systems Level Robotics: Fluency across mechanical, electrical, and software systems.
  • Reliability Engineering: Experience designing to meet IP ratings, MIL-STD, or equivalent ruggedness standards.
$70,000 - $300,000 a year
Compensation and Benefits
Our salary range is between ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.  Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.

You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.

Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.

We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. 

Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!



We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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