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Manager Robotics Mentor Jobs (NOW HIRING)

As Senior Supply Chain Manager, Robotics Hardware for Fauna, you will build and lead the supply ... Hire, mentor, and manage supply chain contributors and contractors as the team grows Strategic ...

Organize and manage fundraising initiatives to support club events and competitions. * Coordinate participation in local robotics competitions across the state of New Jersey. * Provide mentorship and ...

Organize and manage fundraising initiatives to support club events and competitions. * Coordinate participation in local robotics competitions across the state of New Jersey. * Provide mentorship and ...

Robotics Engineer, Software

Holland, MI · On-site

$96K - $128K/yr

Demonstrate your skills in simulation, tooling, and platform management to ensure software ... Mentor and review work of junior and mid-level engineers. * Define engineering best practices and ...

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Manager Robotics Mentor information

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$24.5K

$59.5K

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How much do manager robotics mentor jobs pay per year?

As of Jun 1, 2026, the average yearly pay for manager robotics mentor in the United States is $59,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $68,500.00 per year, depending on experience, location, and employer.

What is the highest paying robotics job?

The highest paying robotics jobs are often executive roles such as Robotics Director or Chief Robotics Officer, or specialized engineering positions like Robotics Solutions Architect, which can offer salaries exceeding $150,000 annually. These roles typically require advanced technical skills, leadership experience, and often a background in AI, automation, or systems integration.

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

AspectManager Robotics MentorRobotics Engineer
CredentialsBachelor's or Master's in Robotics, Engineering, or related fields; leadership experienceBachelor's or Master's in Robotics, Mechanical, Electrical Engineering, or Computer Science
Work EnvironmentTeam leadership, mentorship, project management in robotics teamsDesign, develop, test robotic systems and components
Industry UsageEducational institutions, research labs, tech companiesManufacturing, automation, research and development
Search/Comparison IntentUnderstanding leadership and mentorship roles in roboticsTechnical development and engineering of robotic systems

The Manager Robotics Mentor focuses on guiding and mentoring robotics teams, overseeing projects, and providing leadership. In contrast, a Robotics Engineer is primarily involved in designing, developing, and testing robotic systems. Both roles require technical knowledge, but the Manager Robotics Mentor emphasizes leadership and mentorship, while the Robotics Engineer emphasizes technical engineering skills.

What cities are hiring for Manager Robotics Mentor jobs? Cities with the most Manager Robotics Mentor job openings:
What are the most commonly searched types of Robotics Mentor jobs? The most popular types of Robotics Mentor jobs are:
What states have the most Manager Robotics Mentor jobs? States with the most job openings for Manager Robotics Mentor jobs include:
Software Engineer - Robotic Applications

Software Engineer - Robotic Applications

Diligent Robotics

Austin, TX • On-site

Full-time

Posted 13 days ago


Job description

What we're doing isn't easy, but nothing worth doing ever is.
We envision a future powered by robots that work seamlessly with human teams. At Diligent Robotics, we build artificial intelligence that enables service robots to collaborate with people and adapt to dynamic, human-filled environments.
Diligent is one of the only companies in the world operating a production fleet of mobile manipulation robots in real environments. Every day, our robots work alongside hospital staff, generating the real-world data needed to advance the next generation of Physical AI. If you're excited about building autonomy that actually works outside the lab, this is one of the most interesting places you can do that work.
As a Software Engineer - Robotic Applications, you will help strengthen and extend our core robotics platform, from task management and behavior orchestration to motion planning, localization, and controls. Working closely with our Embodied AI team, you will deploy, integrate, and evaluate autonomy models on real robots operating in hospitals. This work will include one of the first production-scale deployments of Vision-Language-Action (VLA) models and AI-generated manipulation behaviors, bringing the latest advances in embodied AI into real-world operation.
Your work will directly impact how robots behave in the real world, helping us continuously improve the reliability, robustness, and usefulness of autonomy in complex human environments.
Responsibilities
  • Design, implement, and maintain core robotics platform subsystems (task management, behavior systems, planning, localization, control)
  • Collaborate with Embodied AI partners to deploy, evaluate, and iterate on autonomy models in real robotic applications
  • Integrate emerging components (e.g., world models) into production robotic workflows with a focus on reliability and observability
  • Build test harnesses, regression coverage, and debugging tools to ensure high confidence releases and fast iteration cycles
  • Contribute to architecture decisions that improve modularity, testability, and long-term maintainability of the robotics stack
  • Mentor teammates and raise the bar on engineering quality, reliability, and operational excellence
Basic Qualifications
  • Undergraduate or graduate degree in Robotics, Computer Science, Electrical Engineering, or related field
  • 5+ years of professional software engineering experience, ideally in robotics, autonomous vehicles, or other complex cyber physical systems
  • Strong proficiency in C++ and Python
  • Core robotics expertise in at least one major domain (e.g., planning, localization, controls, behavior systems, task execution)
  • Experience shipping software on real robots and debugging issues that emerge in unstructured, real-world environments
  • Strong systems thinking and comfort working across interfaces between autonomy, platform infrastructure, and operational needs
  • Excellent cross functional communication skills and a bias toward pragmatic solutions