ZipRecruiter

Log In

1

Rugged Robotics Jobs (NOW HIRING)

Source Medical, LLC.

Urology Physician

Augusta, ME

In addition to full scope urology, the practice also offers laparoscopic robotic assisted ... rugged Maine coast, close to Portland, Maine's largest city, and less than a three-hour drive from ...

Source Medical, LLC.

Urology Physician

Augusta, ME · On-site

In addition to full scope urology, the practice also offers laparoscopic robotic assisted ... rugged Maine coast, close to Portland, Maine's largest city, and less than a three-hour drive from ...

next page

Showing results 1-20

All JobsRugged Robotics Jobs

Rugged Robotics information

See salary details

$15

$28

$45

How much do rugged robotics jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for rugged robotics in the United States is $28.24, according to ZipRecruiter salary data. Most workers in this role earn between $22.12 and $32.93 per hour, depending on experience, location, and employer.

Who owns rugged robotics?

Rugged Robotics is a company specializing in ruggedized robotic systems, and it is privately owned. Ownership details are typically available through business registration records or company disclosures, but specific ownership information may not be publicly disclosed. Job seekers should focus on the company's roles, skills required, and work environment when applying.

Who is the CEO of Rugged Robotics?

Rugged Robotics is a company specializing in autonomous agricultural machinery, and as of now, the CEO information is not publicly available. Job seekers interested in leadership roles should review official company communications or contact the company directly for the most current details.

What is Rugged Robotics?

Rugged Robotics is a technology company that designs and manufactures autonomous robots specifically for the construction industry. Their robots are primarily used for tasks like layout marking on construction sites, which helps improve accuracy and efficiency while reducing manual labor. By automating repetitive and time-consuming tasks, Rugged Robotics aims to streamline construction workflows and address labor shortages. Their technology integrates with digital construction plans to ensure precise execution on-site. The company is contributing to the modernization and digital transformation of the construction sector.

What is the highest paying job in robotics?

In robotics, the highest paying roles are often robotics engineering managers or senior robotics engineers, with salaries exceeding $150,000 annually. These positions typically require advanced degrees, extensive experience, and expertise in areas like automation, control systems, and programming languages such as C++ or Python.

What are some typical challenges faced by engineers working at Rugged Robotics, and how can candidates prepare for them?

Engineers at Rugged Robotics often work at the intersection of hardware and software, facing challenges such as integrating robotic systems into active construction environments and ensuring reliability in harsh conditions. Candidates should be prepared to troubleshoot complex technical issues onsite and adapt quickly to evolving project needs. Collaborative skills are essential, as engineers regularly coordinate with construction managers, field crews, and fellow developers to deploy and refine robotics solutions. Gaining hands-on experience with field robotics and understanding construction workflows can help applicants excel in this dynamic role.

Which 5 jobs will survive AI?

Rugged Robotics professionals involved in designing, maintaining, and operating durable robotic systems are likely to continue in demand, as these roles require hands-on skills, problem-solving, and adaptability that AI cannot fully replicate. Jobs in robotics engineering, field technicians, system integrators, safety specialists, and technical trainers are expected to persist due to the need for physical interaction and complex troubleshooting. These roles often require technical certifications and practical experience, making them more resilient to automation.

What are the key skills and qualifications needed to thrive as a Rugged Robotics Engineer, and why are they important?

To thrive as a Rugged Robotics Engineer, you need a solid background in robotics engineering, mechanical design, and software development, usually supported by a degree in engineering or a related field. Familiarity with CAD software, ROS (Robot Operating System), C++/Python programming, and experience with hardware prototyping tools are typically required. Strong problem-solving abilities, teamwork, and effective communication distinguish top performers in this role. These skills and qualities are essential to successfully develop, deploy, and maintain robust robotic solutions in challenging construction environments.

What is the difference between Rugged Robotics vs Field Service Technician?

AspectRugged RoboticsField Service Technician
Required CredentialsTechnical certifications, robotics or automation trainingTechnical certifications, electronics or mechanical training
Work EnvironmentIndustrial, manufacturing, outdoor, rugged settingsCustomer sites, industrial facilities, outdoor environments
Employer & IndustryRobotics companies, automation firms, manufacturingManufacturing, equipment maintenance, industrial services

Rugged Robotics and Field Service Technicians both work in industrial environments requiring technical skills. However, Rugged Robotics specialists focus on installing, maintaining, and troubleshooting robotic systems in rugged settings, while Field Service Technicians handle a broader range of equipment repairs and maintenance at customer sites. Both roles demand technical certifications and hands-on experience, but Rugged Robotics roles are more specialized in automation and robotics technology.

More about Rugged Robotics jobs
What cities are hiring for Rugged Robotics jobs? Cities with the most Rugged Robotics job openings:
What states have the most Rugged Robotics jobs? States with the most job openings for Rugged Robotics jobs include:
What job categories do people searching Rugged Robotics jobs look for? The top searched job categories for Rugged Robotics jobs are:
Rugged Robotics jobs near you
Infographic showing various Rugged Robotics job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $58,744 per year, or $28.2 per hour.

Robotics Research Internship-Locomotion & Planning (Summer 2026)

FieldAI

Irvine, CA • On-site

$45 - $60/hr

Internship

Posted 6 days ago

Job description

About the Internship
Field AI is building the future of autonomy-from rugged terrain to real-world deployment. We're on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments.
We are offering a Summer 2026 internship focused on learning-based locomotion and planning for PhD students interested in advancing autonomous legged robot capabilities. As a research intern, you will work at the intersection of reinforcement learning, locomotion control, and learned planning, developing integrated systems that enable robots to move and navigate intelligently through complex, unstructured environments.
You will collaborate closely with Field AI research scientists and engineers to design experiments, develop locomotion and planning systems, and validate ideas in simulation and on real hardware. This internship emphasizes building tightly integrated learning-based systems that connect low-level locomotion with high-level planning, translating research into practical, deployable capabilities for real-world robotics.
What You'll Get To Do
Advance RL-Based Locomotion and Learned Planning Research
  • Design, implement, and evaluate reinforcement learning pipelines that tightly integrate locomotion control with learning-based planning.
  • Explore how learned planners can inform and adapt locomotion behaviors across varied terrain and dynamic conditions.
  • Contribute to research projects from early-stage ideas through simulation experiments and on-robot validation.

Bridge Locomotion and Planning Across the Sim-to-Real Gap
  • Develop and refine sim-to-real transfer strategies, including domain randomization, system identification, and adaptive methods, for integrated locomotion-planning systems.
  • Build and leverage GPU-accelerated simulation environments (Isaac Gym, Isaac Lab, MuJoCo) for scalable training and evaluation.
  • Test and iterate on policies using real legged robot platforms in unstructured environments.

Build Systems That Connect Research to Deployment
  • Translate research concepts into working robotic systems tested on real hardware.
  • Develop experimental setups and tooling to support data collection, evaluation, and reproducibility.
  • Help ensure locomotion and planning systems are robust, field-relevant, and ready for iterative improvement.

Collaborate Across the Full Robotics Stack
  • Work closely with systems engineers, perception experts, and embedded teams to close the loop between learning and execution.
  • Incorporate real-world telemetry and field data to refine models and improve generalization.
  • Engage with researchers and engineers across the team to align experiments with broader autonomy goals.

Rapidly Iterate and Learn
  • Prototype quickly, run experiments in simulation and on hardware, and analyze results rigorously.
  • Balance exploratory research with concrete deliverables over the course of the internship.
  • Debug system-level issues spanning simulation, software, hardware, and learning.

What You Have
  • Current PhD student in Robotics, Computer Science, Mechanical Engineering, AI/ML, or a closely related field.
  • Research experience in reinforcement learning for continuous control, locomotion, or learning-based planning.
  • Strong foundation in contact dynamics, control theory, and kinematics.
  • Proficiency in Python and/or C++, with experience using robotics or ML tooling.
  • Familiarity with physics-based simulators such as Isaac Gym, Isaac Lab, MuJoCo, or PyBullet.
  • Experience designing experiments and evaluating results on robotic systems (simulation or hardware).
  • Curiosity, initiative, and a strong interest in building autonomous systems that operate in the real world.

The Extras That Set You Apart
  • Hands-on experience with legged robot platforms (quadrupeds, wheeled-quadrupeds, bipedal systems, or exoskeletons).
  • Experience with sim-to-real transfer for locomotion or planning policies.
  • Background in learning-based planning, motion planning, or terrain-adaptive control.
  • Familiarity with ROS or ROS2.
  • Publications, preprints, or open-source contributions in locomotion, RL, planning, or control.
  • Experience deploying neural network controllers on resource-constrained or real-time robotic platforms.
  • Interest in bridging cutting-edge research with practical, field-ready robotic systems.

$45 - $60 an hour
Our salary range is generous and 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.
Field AI Onsite Work Philosophy
At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.
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.
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.

Apply