ZipRecruiter

Log In

1

Robotics Deployment Engineer Jobs in Orem, UT (NOW HIRING)

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

Working closely with data scientists, robotics engineers, and software teams, you'll develop robust infrastructure that supports the deployment and reliability of our AI-driven autonomous systems.

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

Working closely with data scientists, robotics engineers, and software teams, you'll develop robust infrastructure that supports the deployment and reliability of our AI-driven autonomous systems.

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

Autonomous Solutions

Software Development Manager II

Lehi, UT · On-site

$115K - $153K/yr

At ASI, we are revolutionizing industries with state-of-the-art autonomous robotics solutions. We ... deployment, and support. This role blends people leadership of software development engineers ...

Hypercraft

Senior Embedded Systems Engineer

Provo, UT · On-site

$130K - $170K/yr

... field deployments. Experience in Several of These Areas * Real-time operating systems (RTOS ... Robotics * Automotive * Aerospace * Defense * Industrial automation * Autonomous systems * Embedded ...

All JobsRobotics Deployment Engineer JobsRobotics Deployment Engineer Jobs in Orem, UT

Robotics Deployment Engineer information

See Orem, UT salary details

$30.9K

$95.2K

$147.8K

How much do robotics deployment engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for robotics deployment engineer in Orem, UT is $95,249.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $120,400.00 per year, depending on experience, location, and employer.

What is a robotics deployment engineer?

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.
What are popular job titles related to Robotics Deployment Engineer jobs in Orem, UT? For Robotics Deployment Engineer jobs in Orem, UT, the most frequently searched job titles are:
What job categories do people searching Robotics Deployment Engineer jobs in Orem, UT look for? The top searched job categories for Robotics Deployment Engineer jobs in Orem, UT are:
Robotics Deployment Engineer jobs near you

AI Infrastructure Engineer IV

Autonomous Solutions

Lehi, UT • On-site

$100K - $132K/yr

Full-time

Re-posted yesterday

Job description

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.

As an AI Infrastructure Engineer IV, you will play a critical role in designing, building, and maintaining the systems that power our AI and machine learning capabilities. You will ensure our compute, storage, and cloud environments are scalable, efficient, and tuned for high-performance AI workloads. Working closely with data scientists, robotics engineers, and software teams, you'll develop robust infrastructure that supports the deployment and reliability of our AI-driven autonomous systems.

Responsibilities:

  • Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage, and networking to support AI and ML workloads.

  • Deploy and manage AI systems within cloud environments (AWS, Azure, GCP), ensuring scalability, cost-efficiency, and high availability.

  • Collaborate with data scientists, ML engineers, and software teams to support AI model development, training, and deployment workflows.

  • Implement automation, CI/CD, DevOps, and MLOps practices to create efficient, repeatable, and reliable AI infrastructure processes.

  • Optimize compute and storage systems to achieve maximum performance and throughput for AI/ML pipelines.

  • Monitor system health and troubleshoot performance bottlenecks, infrastructure issues, and deployment challenges.

Required Qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.

  • 8+ years of experience in cloud infrastructure, DevOps, or platform engineering with 3+ years working on AI/ML systems.

  • Strong understanding of modern AI infrastructure components, including distributed computing, GPU-accelerated systems, and large-scale storage.

  • Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.

  • Proficiency with Kubernetes, Docker, Terraform, or similar containerization and orchestration tools.

  • Strong programming skills in Python and/or C++, with experience supporting machine learning frameworks (TensorFlow, PyTorch, etc.).

  • Experience implementing CI/CD pipelines, MLOps practices, and automation tooling.

At Autonomous Solutions, Inc. (ASI), 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. ASI complies with all applicable federal, state, and local laws regarding non-discrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.


Job Posted by ApplicantPro