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Robotics Deployment Engineer Jobs in Utah (NOW HIRING)

Hypercraft

Senior Platform Software Engineer

Provo, UT

$130K - $170K/yr

It provides the tools, services, deployment infrastructure, diagnostics, and application framework ... Robotics * Automotive * Industrial automation * Defense * Developer platforms * Fleet management

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Robotics Deployment Engineer information

What are Robotics Deployment Engineers?

Robotics Deployment Engineers are professionals who specialize in installing, integrating, and configuring robotic systems in real-world settings. They work closely with clients to ensure robots are properly set up, tested, and optimized for specific operational needs. Their responsibilities often include troubleshooting hardware and software issues, providing on-site support, and training staff on using robotic equipment. These engineers play a critical role in making sure robotics technology transitions smoothly from the lab or factory to its intended application environment.

What are some typical challenges faced by Robotics Deployment Engineers during on-site installations?

Robotics Deployment Engineers often encounter challenges such as adapting to varying facility layouts, integrating new robotic systems with existing infrastructure, and troubleshooting unexpected hardware or software issues during deployment. Communication and collaboration with local IT, operations, and maintenance teams are key to overcoming these obstacles, as each site may present unique requirements or constraints. Being flexible and solution-oriented is essential, as timelines can be tight and successful deployment often hinges on quickly resolving integration and performance concerns.

What are the key skills and qualifications needed to thrive as a Robotics Deployment Engineer, and why are they important?

To thrive as a Robotics Deployment Engineer, you need a strong background in robotics, mechanical or electrical engineering, and experience with system integration, often supported by a relevant engineering degree. Familiarity with programming languages (such as Python or C++), robotics middleware (like ROS), and hands-on experience with automation hardware and control systems are typically essential. Problem-solving, adaptability, and excellent communication skills help you coordinate with cross-functional teams and address client needs effectively. These skills ensure successful on-site deployment, troubleshooting, and optimization of robotic systems in diverse environments.
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Robotics Deployment Engineer jobs near you
AI Engineer IV (Embedded Software)

AI Engineer IV (Embedded Software)

Autonomous Solutions

Mendon, UT • On-site

$145K - $169K/yr

Full-time

Re-posted 21 days ago

Job description

Autonomous Solutions Inc builds autonomous systems for fleets operating in demanding, high-risk, and repetitive environments. Founded in 2000, we've grown into one of the largest privately held robotics companies in the world, with deployments across heavy construction, agriculture, logistics, and landscaping. Our work is guided by seven core values: Simplicity, Safety, Transparency, Humility, Attention to Detail, Autonomy, and Growth. Being privately held means good ideas move quickly, ownership is real, and the work you do here shows up in the world.
As an AI Engineer IV (Embedded Software), you will deploy, optimize, and maintain AI capabilities on constrained hardware platforms within Autonomous Solutions Inc's robotics systems. You will ensure AI models operate reliably within tight compute and memory limits, integrating smoothly with firmware and robotics software. This role sits at the intersection of AI model deployment and embedded systems engineering, where real-time performance and hardware constraints matter as much as model accuracy.
Responsibilities
  • Deploy AI models onto constrained hardware and embedded platforms.
  • Optimize compute, memory, and power usage for real-time embedded operation.
  • Convert AI models into production-ready embedded libraries or hardware-optimized modules.
  • Tune real-time performance and latency to meet embedded system requirements.
  • Integrate AI models and algorithms that improve system efficiency and reliability.
  • Test and validate AI performance on embedded platforms for robustness and stability.
  • Collaborate with robotics, firmware, and software teams on embedded AI alignment.
  • Continuously improve embedded AI systems through updates, optimizations, and performance refinements.

Qualifications
  • Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
  • 8+ years designing and implementing embedded real-time software systems using C/C++.
  • 3+ years deploying AI or ML models on embedded systems or constrained hardware.
  • Proficiency with ML inference runtimes such as TensorRT, ONNX Runtime, or TensorFlow Lite.
  • Experience optimizing compute, memory, and power for real-time embedded applications.
  • Familiarity with microcontrollers, embedded Linux, RTOS, or hardware accelerators.
  • Experience with large multithreaded embedded applications running on an RTOS.

Physical Requirements
  • Ability to remain in a stationary position at a computer workstation for extended periods.
  • Ability to operate a computer and other office productivity equipment continuously.
  • Ability to communicate and exchange information in person, via phone, and through electronic means.
  • Ability to traverse office, lab, data center, and field environments as required.

At Autonomous Solutions Inc, we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. Autonomous Solutions Inc complies with all applicable federal, state, and local laws regarding nondiscrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.

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