Robotics Systems Engineer

4 weeks ago

Toronto, Ontario, Canada Unreal Gigs Full time

Unlock the Future of Robotics with Unreal Gigs

We're seeking a talented Robotics Systems Engineer to join our team at Unreal Gigs. As a key member of our robotics team, you'll design, develop, and deploy advanced robotic systems that revolutionize industries and improve efficiency across various domains.

Key Responsibilities:

  1. Design and Develop Robotic Systems:
  • Build and program robots that can operate autonomously or semi-autonomously in real-world environments. You'll design hardware and software systems for robotic arms, mobile robots, drones, or specialized automation tools.
Develop Control Systems and Algorithms:
  • Implement control algorithms that allow robots to move, manipulate objects, and interact with their surroundings. You'll work on path planning, kinematics, and control theory to ensure precise and reliable robotic actions.
Integrate Sensors and Actuators:
  • Integrate various sensors (e.g., LIDAR, cameras, proximity sensors) and actuators (motors, servos, grippers) into robotic systems. You'll ensure that robots can perceive their environment and respond effectively to changes.
Autonomous Navigation and SLAM:
  • Develop autonomous navigation systems that allow robots to map, localize, and navigate through dynamic environments. You'll work with Simultaneous Localization and Mapping (SLAM) techniques, obstacle avoidance, and motion planning.
Collaborate with Cross-Functional Teams:
  • Work closely with software developers, mechanical engineers, and data scientists to design and integrate robotic systems into larger applications. You'll ensure that robotic solutions align with product requirements and deliver measurable business outcomes.
Prototype, Test, and Optimize:
  • Prototype robotic systems and conduct rigorous testing to evaluate performance, safety, and reliability. You'll iterate on designs and algorithms to improve the efficiency and effectiveness of robotic systems in real-world applications.
Stay Updated on Robotic Technologies:
  • Keep up with the latest advancements in robotics, AI, and automation. You'll experiment with emerging technologies like deep learning for perception, collaborative robotics (cobots), and reinforcement learning for complex decision-making.

Requirements:

Required Skills:

  • Robotics Engineering Expertise: Strong knowledge of robotics principles, including kinematics, dynamics, control systems, and mechatronics. You're experienced in designing robotic systems from the ground up.
  • Programming and Simulation Tools: Proficiency in programming languages like Python, C++, and MATLAB, along with experience using robotic frameworks such as ROS (Robot Operating System) and simulation tools like Gazebo or V-REP.
  • Autonomous Systems Knowledge: Expertise in autonomous navigation, SLAM, and path planning algorithms. You have experience with robotic perception and decision-making in dynamic environments.
  • Sensors and Actuators: Hands-on experience working with sensors (e.g., LIDAR, cameras, IMUs) and actuators (e.g., motors, servos, and hydraulic systems). You understand how to integrate and calibrate sensors for accurate robotic control.
  • Mechanical Design: Familiarity with CAD tools and mechanical design principles. You're able to collaborate with mechanical engineers to ensure seamless integration of hardware and software in robotic systems.

Educational Requirements:

  • Bachelor's or Master's degree: In Robotics, Mechanical Engineering, Electrical Engineering, or a related field. Equivalent experience in robotics engineering is also highly valued.
  • Certifications or additional coursework: In robotics, control systems, or mechanical design are a plus.

Experience Requirements:

  • 3+ years of experience: In robotics engineering, with hands-on experience designing, building, and deploying robotic systems.
  • Proven experience: Working with robotic hardware, sensors, and actuators, as well as developing control algorithms for autonomous systems.
  • Experience with AI and machine learning: Integration into robotic systems is highly desirable.

Benefits:

  • Health and Wellness: Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.
  • Paid Time Off: Competitive vacation, sick leave, and 20 paid holidays per year.
  • Work-Life Balance: Flexible work schedules and telecommuting options.
  • Professional Development: Opportunities for training, certification reimbursement, and career advancement programs.
  • Wellness Programs: Access to wellness programs, including gym memberships, health screenings, and mental health resources.
  • Life and Disability Insurance: Life insurance and short-term/long-term disability coverage.
  • Employee Assistance Program (EAP): Confidential counseling and support services for personal and professional challenges.
  • Tuition Reimbursement: Financial assistance for continuing education and professional development.
  • Community Engagement: Opportunities to participate in community service and volunteer activities.
  • Recognition Programs: Employee recognition programs to celebrate achievements and milestones.

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