Autonomous Solutions-posted about 18 hours ago
Full-time • Mid Level
51-100 employees

At ASI, we are revolutionizing industries with state-of-the-art autonomous robotics solutions. Within the fields of agriculture, construction, landscaping, and logistics, we deliver technologies that enhance safety, productivity, and efficiency. With our core values of Simplicity, Safety, Transparency, Humility, Attention to Detail and Growth guiding everything we do, we're shaping the future of automation in dynamic markets. Mobius™ Autonomous Vehicle Control is the industry's most advanced unmanned command and control solution which allows users to enjoy safer, more productive robotic vehicle operations. As a C# Software Engineer IV, you will focus on integrating AI capabilities directly into our Mobius software platform. In this role you will build on the foundation of our general AI Applications with a deeper focus on enhancing workflows, APIs, and platform tools. You will ensure AI features improve performance, usability, and automation, and that they work seamlessly with our robotics systems.

  • Embed AI features into the Mobius software platform, including workflows, APIs, and internal tools.
  • Develop and integrate AI models and algorithms that enhance platform capabilities, efficiency, and automation.
  • Optimize platform workflows and AI systems for real time performance, low latency, and reliability.
  • Collaborate with software engineers, robotics teams, and data scientists to ensure AI features align with system and product requirements.
  • Convert AI models into production ready components such as services, APIs, or embedded libraries for the Mobius platform.
  • Test, validate, and monitor AI capabilities within the software platform to ensure robustness, stability, and high performance.
  • Continuously improve AI systems and workflows by implementing updates, optimizations, and automation strategies.
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
  • 10+ years of experience working as a software engineer utilizing C#.
  • Experience developing and deploying AI or machine learning models in production software systems.
  • Strong understanding of machine learning frameworks such as TensorFlow or PyTorch.
  • Hands on experience embedding AI features into software platforms, APIs, or internal tools.
  • Experience optimizing models and workflows for real time performance and efficiency.
  • Strong analytical and problem-solving abilities with the ability to implement technical solutions in software environments.
  • Ability to collaborate effectively with interdisciplinary teams and communicate complex technical concepts clearly.
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