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Lead Robotics Engineer

2 months ago

California, United States Strativ Group Full time

Lead Robotics Engineer - AI / Machine Learning / Automation

Strativ Group is collaborating with an innovative startup that is pioneering advancements in the field of Robotics and Autonomous Systems. This organization is transforming the interaction between humans and robotic technologies, guided by distinguished experts from leading AI and technology firms.

We are in search of a dedicated and exceptionally talented Lead Engineer to become an integral part of our vibrant team, focusing on the convergence of AI, Machine Learning, and Robotics. The ideal candidate will possess a robust background in these areas, holding a PhD in Robotics, Machine Learning, Computer Vision, or a related discipline, along with significant industry experience in Autonomous Systems.

In this role, you will take charge of groundbreaking projects, contributing to the evolution of state-of-the-art technologies while also mentoring a group of skilled engineers. Your responsibilities will include:

  • Leading and directing innovative research and development initiatives in AI, Machine Learning, and Robotics.
  • Designing and implementing sophisticated algorithms for autonomous systems, ensuring optimal performance and dependability.
  • Collaborating with multidisciplinary teams to incorporate AI and machine learning solutions into robotic frameworks.
  • Conducting experiments, analyzing results, and refining designs to enhance system functionalities.

Required Qualifications:

  • PhD in Robotics, Machine Learning, Computer Science, or a closely related field.
  • A minimum of 3 years of professional experience with a leading organization in Autonomous Systems.
  • Demonstrated success in leading technical projects within the Robotics sector.
  • Extensive knowledge of machine learning algorithms, robotics hardware and software, and autonomous technologies.
  • Proficient programming skills in languages such as Python, C++, and MATLAB.
  • Hands-on experience with deep learning frameworks, including TensorFlow or PyTorch.
  • Familiarity with robotic simulation environments and tools, such as ROS (Robot Operating System).
  • Experience in deploying machine learning models in practical robotic applications.

We invite qualified candidates to explore this exciting opportunity with us.