Robotics Systems Engineer Job at SGS Consulting, Washington DC

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  • SGS Consulting
  • Washington DC

Job Description

Job Responsibilities:

  • Collaborate with research scientists and engineers to design and implement hardware-software system integration enabling state-of-the-art control algorithms and models on real robot hardware and simulation environments
  • Design and conduct thorough evaluations of real-world robotic systems, identifying limitations, and proposing improvements to enhance their performance and robustness
  • Effectively communicate complex features and systems in detail to diverse stakeholders
  • Perform experiments of real and simulation robotic systems and debug the supporting parts manufacture, working with internal and external partners to support part fabrication and complex custom sub assembly
  • Assembly of robot: hands-on partnership in the lab integrating research with construction of sub-assemblies into full system-level robot prototypes
  • Failure analysis: build subsystem test fixtures, design tests, create test plans, perform tests, measure and analyze data, and refine design assumptions
  • Develop communication firmware software
  • Research and develop characterization/training sensors and calibration

Skills:

  • Combination of software and hardware experience, specifically integrating hardware to software.
  • Working with sensors and managing software systems.
  • Experience integrating hardware into software (for PhD fresh graduates).

Education/Experience:

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Experience in Robotics, Mechatronics, Electro-Mechanical Design, Sensor & Communications, or a similar fields
  • Experience with hardware-software integration for real-time systems
  • Proficiency in ROS 1 & 2 (Robot Operating System) framework
  • Proficiency in C++ and/or Python programming (PyTorch, JAX etc.)
  • Experience with SOLIDWORKS, Siemens NX or similar CAD tools
  • Experience with manufacturing processes and materials
  • Experience in Machine Learning tools
  • Experience with simulation tools conducting Finite element analysis: Structural, Modal
  • Experience with automation equipment design and custom machine builds

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