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Full Time Ai Robotics Jobs (NOW HIRING)

Scout AI

AI Engineer - Fury Team

Sunnyvale, CA · On-site

At Scout AI, we're developing Fury, the first robotic foundation model for defense, to give U.S ... Most full-time positions also include highly competitive equity awards, which form part of Scout AI ...

RoboForce

AI Resident

Milpitas, CA · On-site

$10K/mo

Why RoboForce RoboForce is an AI robotics company developing Physical AI-powered Robo-Labor for ... months, full-time Compensation: * $10,000 monthly salary Benefits: * Company-provided lunch and ...

Figure

Robot Service Technician (Night Shift)

San Jose, CA · On-site

$35 - $65/hr

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of ... IPC 610, 620 or J-Std-001 The US base salary range for this full-time position is between $35 - $65 ...

Phsorg

$77K - $118K/yr

Type of Opportunity: Full time Job Exempt: Yes Job is based: Reverend Hugh Cooper Administrative ... Evaluate incoming requests to identify opportunities for AI, RPA, and automation. Assess ...

Figure

Helix AI Engineer, Perception

San Jose, CA · On-site

$200K - $350K/yr

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure ... The US base salary range for this full-time position is between $200,000 - $350,000 The pay offered ...

Intrinsic

Frontend Robotics Engineer

Mountain View, CA · On-site

$147K - $200K/yr

Intrinsic is an AI robotics group at Google aiming to reimagine the potential of industrial ... The base salary for this full-time position is between $147,200 - $200,900 (USD) + 15% bonus ...

Figure

Robot Operations Manager

San Jose, CA · On-site

$150K - $190K/yr

Figure is an AI Robotics company developing autonomous general-purpose humanoid robots. Our mission ... The US base salary range for this full-time position is between $150,000 - $190,000 annually. The ...

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How much do full time ai robotics jobs pay per year?

As of Jun 15, 2026, the average yearly pay for full time 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 is the difference between Full Time Ai Robotics vs Full Time Machine Learning Engineer?

AspectFull Time Ai RoboticsFull Time Machine Learning Engineer
Required CredentialsBachelor's or higher in Robotics, AI, or related fields; experience with robotics hardware and softwareBachelor's or higher in Computer Science, AI, or related fields; strong programming and statistical skills
Work EnvironmentHands-on with robotics hardware, sensors, and embedded systems in labs or manufacturing settingsSoftware development, data analysis, and model training primarily in office or remote settings
Employer & Industry UsageManufacturers, research labs, tech companies developing autonomous systemsTech firms, startups, research institutions focusing on AI and data-driven solutions

Full Time Ai Robotics roles focus on integrating AI with robotics hardware, requiring knowledge of both software and physical systems. In contrast, Full Time Machine Learning Engineers primarily develop algorithms and models in software environments. While both roles involve AI, Ai Robotics emphasizes hardware interaction, whereas Machine Learning Engineers concentrate on data and software modeling.

What are some common challenges faced by professionals in full-time AI robotics roles, and how can they be addressed?

Professionals in full-time AI robotics positions often encounter challenges such as integrating AI algorithms with complex hardware systems, ensuring real-time data processing, and maintaining effective collaboration between multidisciplinary teams (software engineers, mechanical engineers, and data scientists). Addressing these challenges typically requires strong communication skills, a thorough understanding of both robotics hardware and AI software, and continuous learning to keep up with rapid technological advancements. Regular cross-functional meetings and hands-on prototyping sessions can also help streamline problem-solving and accelerate project timelines.

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

To thrive as a Full Time AI Robotics Engineer, you need a strong background in computer science, robotics, machine learning, and engineering, often supported by a relevant degree such as in electrical engineering, computer science, or robotics. Familiarity with programming languages like Python or C++, robotics platforms such as ROS (Robot Operating System), and experience with AI frameworks like TensorFlow or PyTorch are typically required. Problem-solving ability, creativity, and effective teamwork are crucial soft skills in this field. These competencies enable the design, implementation, and optimization of intelligent robotic systems that function reliably in real-world environments.

What is a Full Time AI Robotics job?

A Full Time AI Robotics job involves working as a professional who designs, develops, and maintains robotic systems powered by artificial intelligence. These roles typically require expertise in programming, machine learning, robotics engineering, and sometimes hardware integration. Full-time AI Robotics professionals work on projects like autonomous vehicles, industrial automation, healthcare robots, or research and development. They often collaborate with interdisciplinary teams to build intelligent machines that can perceive, learn, and act in complex environments. The position usually offers a standard workweek and full employee benefits.
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What cities are hiring for Full Time Ai Robotics jobs? Cities with the most Full Time Ai Robotics job openings:
What are the most commonly searched types of Ai Robotics jobs? The most popular types of Ai Robotics jobs are:
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Full Time Ai Robotics jobs near you
Infographic showing various Full Time Ai Robotics job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.

AI Engineer - Fury Team

Scout AI

Sunnyvale, CA • On-site

Full-time

Medical, Dental, Vision, PTO

Posted 13 days ago

Job description

The future of defense will be decided by those who field intelligent machines at scale. At Scout AI, we're developing Fury, the first robotic foundation model for defense, to give U.S. forces overwhelming, adaptable, and autonomous power across every domain. Fury enables human operators to command fleets of robots through natural language, and empowers those machines to sense, decide, and act together as one. This mission will ask everything of us: urgency, precision, and relentless work.
The Role
We're looking for an AI Engineer to join the Fury Orchestration Team with a deep passion for developing and deploying multimodal foundation models that power autonomous teams of robots. Your work will directly influence how our system reasons, plans, remembers and coordinates across multiple robots to accomplish long-horizon missions. Depending on your background and interests, you'll contribute across the stack: model training and evaluation, reinforcement learning, evaluation and simulation, reasoning and memory architectures, multi-agent coordination, and edge inference optimization. Expect to rapidly prototype ideas against rigorous evaluations, test ideas on real robotic mission rollouts, and break new ground as we create the first robotic foundation model for defense.
We're a startup. You'll be moving fast, context-switching daily, and helping define the culture and process as we go. You'll have substantial ownership, influence over technical direction, and the opportunity to help build the future of autonomous defense systems from the ground up.
Responsibilities
  • Design, train, and evaluate multimodal foundation models that enable multi-robot mission execution
  • Drive model development decisions including model architectures, data mixtures, curriculum design, and training recipes informed by rigorous experimentation
  • Curate and generate large-scale training datasets from both synthetic and real-world data engines
  • Develop memory, communication, planning, and tool-use capabilities for AI agents operating across teams of robots
  • Be obsessed with evaluation: design benchmarks, metrics, and testing methodologies that enable rapid iteration across the team
  • Build and improve simulation environments targeted for synthetic data generation, evaluation, and reinforcement learning
  • Translate foundational research into deployable, real-time perception and decision-making systems
  • Collaborate across engineering, robotics, and mission teams to integrate AI systems with onboard autonomy stacks
  • Conduct field trials and mission operations to validate system performance e under real-world constraints

Qualifications
  • 2+ years of hands-on experience building and deploying AI models, including 2+ years working with multimodal models or agentic AI systems
  • Proficiency in Python, PyTorch, and modern machine learning infrastructure
  • Experience training, finetuning, and evaluating large-scale deep learning models using distributed compute infrastructure
  • Demonstrated experience improving model performance through data curation, training strategy, evaluation design, and rigorous experimentation
  • Solid grasp of modern model training techniques including SFT, DPO, RLVR
  • Demonstrated ability to take research from prototype to product in fast-moving environments
  • BS, MS, or PhD in Computer Science, Engineering, Mathematics, Physics, or related technical field, or equivalent practical experience. Advanced graduate research in AI, robotics, or machine learning is a plus.
  • Bonus: Experience building closed-loop simulation, evaluation, or reinforcement learning environments for agentic or physical AI systems
  • Must be a U.S. Person due to required access to U.S. export controlled information or facilitie

Why Join Scout
  • Work on the world's most important frontier, ensuring U.S. and allied dominance in the age of intelligent machines
  • Be a core part of a team building the first defense-specific robotic foundation model
  • Collaborate with some of the top engineers in autonomy, AI, and national security
  • See your work deployed on real systems
  • Help define the future of intelligent defense systems
  • Backed by Draper Associates, Booz Allen Ventures, and other top investors

Benefits
  • Competitive compensation package including base salary and bonus
  • Meaningful equity
  • Premium medical, dental, and vision plans with $0 paycheck contribution
  • Competitive PTO and company holiday calendar
  • Unlimited AI tokens
  • Catered lunch daily and fully stocked kitchen
  • EV charging
  • Relocation assistance (depending on role eligibility)

The stated salary range below represents an estimated base pay only and reflects consideration of multiple compensation factors. Final salary offers may differ depending on factors including, but not limited to, relevant experience or training background, specialized skills, and business needs. Most full-time positions also include highly competitive equity awards, which form part of Scout AI's overall compensation package. In addition, Scout AI provides comprehensive, top-tier benefits to full-time employees.
US Salary Range
$160,000-$400,000 USD

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