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Robotics Ai Manager Jobs (NOW HIRING)

Magna

Robotics AI Algorithm- R&D Summer 2026

Troy, MI · On-site

... Gen-AI, Transformers, Diffusion model-based solutions for Robotics application are strongly ... Final decisions are always made by the hiring manager and the hiring team. Importantly, no ...

Divergent

Industrial Robotics Engineer

Torrance, CA · On-site

... Robotics & AI Software team. In this role, you will have the opportunity to work closely with ... Ability to work effectively with cross-functional teams, including product managers & owners ...

Contoro Robotics

Robotics Intern, Deployment

Austin, TX · On-site

$14.75 - $19.75/hr

Our team is made up of top-tier experts in robotics, AI, and logistics , working together to push ... Experience with ticket management systems (Jira). * Spanish bilingual. *Recruitment Agencies:

Trener Robotics

Channel Manager, East Coast (Sales)

$155K/yr

Channel Manager, East Coast (Sales) Location: East Coast, United States (Remote with Travel) At ... programmed using AI. Our platform enables robots to reason, adapt, and execute complex ...

WSP

Finance AI Manager

Manhattan, NY · On-site

$91K - $163K/yr

Hands-on exposure to AI, automation, or data tools (e.g., Power Platform, analytics tools, RPA, or ... Excellent stakeholder management skills with the ability to influence across a global, matrixed ...

Carbon Robotics

Technical Recruiter

Seattle, WA

You will manage the full-cycle recruitment process, focusing on software, hardware, robotics, and AI/ML engineering roles. This position is based in Seattle with an expectation of 4 days per week in ...

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Robotics Ai Manager information

What is the salary of AI in robotics?

The salary of a Robotics AI Manager typically ranges from $90,000 to $150,000 annually, depending on experience, location, and company size. Professionals with strong skills in machine learning, programming, and robotics systems tend to earn higher salaries, especially in tech hubs or specialized industries.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as an AI executive, senior researcher, or specialized engineer, often requiring advanced skills in machine learning, deep learning, and data analysis. These roles usually involve leadership, strategic planning, and significant expertise, and they may be found in large tech companies or innovative startups offering competitive compensation packages. For a Robotics AI Manager, such a salary indicates a senior role with extensive experience and responsibility in managing AI-driven robotics projects.

What is a Robotics AI Manager?

A Robotics AI Manager is a professional who oversees the development, implementation, and management of artificial intelligence (AI) systems within robotics projects. They coordinate teams of engineers, data scientists, and developers to design intelligent robots that can perform tasks autonomously or with minimal human intervention. Their responsibilities include project management, strategic planning, and ensuring that AI technologies are effectively integrated into robotic systems to meet organizational goals.

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

To thrive as a Robotics AI Manager, you need a blend of expertise in robotics, machine learning, and project management, often supported by a degree in computer science, engineering, or a related field. Familiarity with programming languages (such as Python or C++), robotics platforms (like ROS), and AI frameworks (such as TensorFlow or PyTorch) is typically required, along with experience in managing cross-functional teams. Strong leadership, strategic thinking, and excellent communication skills help distinguish top performers in this role. These competencies ensure effective project delivery, innovation, and the successful integration of AI-driven robotics solutions in complex environments.

Is robotics and AI a good career?

A career as a Robotics AI Manager involves overseeing the development and deployment of intelligent robotic systems, requiring skills in programming, machine learning, and systems integration. The field is growing rapidly due to increasing automation across industries, offering strong job prospects and competitive salaries. Continuous learning and staying updated with emerging technologies are important for success in this role.

What is the difference between Robotics Ai Manager vs Robotics Engineer?

AspectRobotics Ai ManagerRobotics Engineer
Required CredentialsBachelor's or higher in Robotics, AI, or related fields; experience in AI project managementBachelor's or higher in Robotics, Mechanical, Electrical Engineering, or related fields
Work EnvironmentLeads teams, manages AI projects, collaborates with cross-functional teamsDesigns, develops, tests robotic systems and components
Employer & Industry UsageTech companies, manufacturing, research labsRobotics firms, automation companies, research institutions
Common Search & ComparisonOften compared for leadership roles in robotics AI projectsFocuses on technical development and engineering tasks

The Robotics Ai Manager oversees AI-driven robotics projects, managing teams and strategy, while Robotics Engineers focus on designing and building robotic systems. Both roles require technical knowledge, but the manager emphasizes leadership and project management, whereas engineers concentrate on technical development.

What are the main challenges Robotics AI Managers face when leading multidisciplinary teams?

Robotics AI Managers often lead teams composed of software engineers, mechanical engineers, data scientists, and robotics specialists. One common challenge is ensuring effective communication and collaboration across these diverse disciplines, each with its own jargon and methodologies. Balancing project timelines while integrating hardware and AI-driven software components can also be complex. Successful managers foster a culture of open communication, establish clear project milestones, and encourage cross-functional knowledge sharing to overcome these hurdles.

Which 3 jobs will survive AI?

Robotics AI Managers are likely to continue to be in demand as they oversee the development and deployment of AI systems in robotics, requiring skills in programming, machine learning, and systems integration. Jobs that involve complex problem-solving, creativity, and emotional intelligence, such as healthcare professionals, engineers, and data scientists, are also expected to persist despite AI advancements. These roles often require human judgment and adaptability that AI cannot fully replicate.
More about Robotics Ai Manager jobs
What cities are hiring for Robotics Ai Manager jobs? Cities with the most Robotics Ai Manager job openings:
What are the most commonly searched types of Robotics Ai jobs? The most popular types of Robotics Ai jobs are:
What states have the most Robotics Ai Manager jobs? States with the most job openings for Robotics Ai Manager jobs include:
What job categories do people searching Robotics Ai Manager jobs look for? The top searched job categories for Robotics Ai Manager jobs are:
Robotics Ai Manager jobs near you
Infographic showing various Robotics Ai Manager job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

Senior Engineering Manager, Robotics and Humanoid Research

FieldAI

Boston, MA

$70K - $300K/yr

Full-time

Posted 20 days ago

Job description

FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use.

We are seeking an accomplished Senior Engineering Manager to lead a lean, high-performing team of research scientists and engineers working at the forefront of robotics AI. In this role, you will define and drive research strategy, oversee the development of advanced AI algorithms, and guide programs from early research through real-world deployment on physical robotic systems. You will balance deep technical leadership with people management, ensuring both scientific excellence and real-world impact.
 
This is an opportunity to shape the future of robotic autonomy by translating cutting-edge research into systems that operate reliably in complex, dynamic environments on real robots.
What You Will Get To Do
  • Set Research Vision and Strategy
  • Define and execute the robotics AI research roadmap in alignment with FieldAI’s mission and product goals.
  • Identify emerging research directions, tools, and techniques across robotics, embodied AI, and machine learning.
  • Establish clear technical goals, milestones, and success metrics tied to real-world robot performance.
  • Lead and Grow Research Teams
  • Recruit, mentor, and manage a multidisciplinary team of research scientists and engineers.
  • Provide hands-on technical leadership through design reviews, experiment reviews, and close collaboration on challenging problems.
  • Own performance management, professional development, and career progression within the team.
  • Drive End-to-End Research and Deployment
  • Lead projects from problem definition through algorithm design, simulation, on-robot testing, and field deployment.
  • Ensure research outputs translate into robust, scalable, and safe systems on physical robots.
  • Champion experimental rigor, including benchmarking, ablations, reproducibility, and failure analysis.
  • Partner Across the Organization
  • Collaborate closely with product, engineering, and operations teams to integrate research into production systems.
  • Communicate technical progress, risks, and tradeoffs clearly to cross-functional stakeholders and leadership.
  • Represent Field AI externally through publications, conferences, collaborations, and recruiting.
  • Ensure Operational Excellence
  • Build and maintain processes for experiment management, evaluation, and reproducibility.
  • Manage resources, timelines, and priorities to deliver high-quality results efficiently.
  • Foster a culture of technical excellence, ownership, and rapid iteration.
What You Have
  • PhD in Computer Science, Robotics, Artificial Intelligence, or a related field, or equivalent practical experience, with a strong background in applied research.
  • 8+ years of experience delivering impactful research in robotics AI, machine learning, or closely related domains.
  • 4+ years of leadership experience managing research and engineering teams, including hiring, mentorship, performance management, and career development.
  • Proven ability to lead multiple complex projects in parallel, from early research through real-world validation.
  • Direct, hands-on experience developing, testing, and deploying AI models on humanoid and/or quadruped robots.
The Extras That Set You Apart
  • Experience with large-scale field robotics deployments.
  • Deep expertise in one or more areas such as robotics reinforcement learning, manipulation, perception, planning, or multi-robot systems.
  • Demonstrated success with sim-to-real transfer on legged or humanoid platforms.
  • Experience deploying AI on embedded or edge systems in resource-constrained environments.
  • Publications or impactful open-source contributions in robotics or embodied AI.
Why Join Field AI?
FieldAI is tackling one of robotics’ hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most.

You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX.

Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally.

Be Part of the Next Robotics Revolution
Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability.
We are headquartered in Mission Viejo (Irvine adjacent), Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world.

Equal Opportunity
FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, 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.