About sensmore:

At sensmore, we specialize in AI software automation, crafting embodied AI systems designed for the most challenging conditions. We provide revolutionary AI-powered solutions that enhance understanding and intelligence in harsh environments, aiding industries like mining, construction, and agriculture with advanced driver assistance and autonomous capabilities.

Join our mission to redefine automation in heavy industries.

Role Overview:

We are looking for a dynamic Robotics Engineer specializing in Autonomy Integration to focus on the intersection of software and hardware. The ideal candidate will have expertise in both the development and practical application of autonomous systems, bridging the gap between innovative software solutions and robust hardware implementations. This role is pivotal in creating systems that seamlessly integrate complex software algorithms with mechanical and electronic components to achieve reliable autonomous operations.

Key Responsibilities:

• Design and implement software solutions that interact flawlessly with physical hardware components.
• Develop comprehensive testing frameworks to ensure the compatibility and performance of integrated systems in real-world conditions.
• Collaborate with hardware engineers and software developers to create unified systems that enhance robotic capabilities.
• Troubleshoot and optimize the integration of software and hardware to enhance system reliability and efficiency.
• Participate in all phases of the product lifecycle, from initial concept through design, development, and deployment.

Required Qualifications:

• Bachelor's or Master's degree in Robotics, Computer Science, Electrical Engineering, or a related technical field.
• Proficient in programming languages such as Python, C++, or Rust.
• Solid understanding of both software architecture and mechanical-electronic systems.
• Experience in developing and deploying hardware-integrated software solutions.
• Strong analytical skills with a proven record in problem-solving complex integration issues.
• Strong understanding of machine control and communication such as CAN.

Preferred Skills:

• Hands-on experience with autonomous system platforms.