1

Robotics Hardware Engineer Jobs in Arizona (NOW HIRING)

Role overview At ASM, the Software Engineering team works on delivering software that has immediate ... The hardware includes robotics, gas valves, temperature controllers and other hardware. Come join ...

... Devices and Robotics. As a key member of our research and development efforts, you will play a ... Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and ...

Troubleshoot and resolve any issues related to machine operations, including software and hardware ... Familiarity with automation and robotics in CNC manufacturing environments. * Project management ...

As part of ASM's Global Hardware Platform team, you'll help shape the future of semiconductor ... Knowledge of vacuum systems, wafer handling, gas/fluid delivery, robotics * Experience with modern ...

As part of ASM's Global Hardware Platform team, you'll help shape the future of semiconductor ... Knowledge of vacuum systems, wafer handling, gas/fluid delivery, robotics * Experience with modern ...

Senior Engineer, Software Support

Phoenix, AZ · On-site

$121K - $160K/yr

The hardware includes robotics, gas valves, temperature controllers and other hardware. As a Senior Software Support Engineer , you will make an impact by investigating, recreating, and ...

Be Seen First

Avionics Electrical Engineer

Phoenix, AZ · On-site

$100K - $180K/yr

Perform hardware bring-up and bench testing using oscilloscopes, multimeters, logic analyzers ... Experience developing electronics for aerospace, unmanned systems, robotics, defense, or other ...

The hardware includes robotics, gas valves, temperature controllers and other hardware. As a Supervisor Engineer, Software Support , you will make an impact by investigating, recreating, and ...

Senior Engineer I, Software Engineering

Phoenix, AZ · On-site

$121K - $160K/yr

Senior Engineer I, Software Engineering As part of ASM's Software Engineering team, you'll develop ... Your work will directly support robotics, gas delivery systems, temperature control hardware, and ...

Role overview At ASM, the Software Engineering team works on delivering software that has immediate ... The hardware includes robotics, gas valves, temperature controllers and other hardware. Come join ...

Showing results 41-60

Robotics Hardware Engineer information

See Arizona salary details

$47.5K

$136.3K

$183.1K

How much do robotics hardware engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for robotics hardware engineer in Arizona is $136,270.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,100.00 and $151,900.00 per year, depending on experience, location, and employer.

Is there a high demand for robotics hardware engineers?

Robotics hardware engineers are in high demand due to the growing adoption of automation and robotics across industries such as manufacturing, healthcare, and logistics. Employers seek professionals skilled in designing, testing, and integrating robotic systems, often requiring knowledge of embedded systems, sensors, and control hardware. The field offers strong job prospects with competitive salaries and opportunities for advancement.
What cities in Arizona are hiring for Robotics Hardware Engineer jobs? Cities in Arizona with the most Robotics Hardware Engineer job openings:

IAM Engineer - Phoenix, Az

Motion Recruitment

Phoenix, AZ • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Job description


A leading financial services firm in Chandler, AZ is seeking a Senior Machine Learning Engineer to join their technology innovation team. In this position, you’ll be at the forefront of building state-of-the-art machine learning solutions, taking ownership of projects from the design phase through to on-device deployment.
You’ll architect and support robust pipelines for sensor data analysis, shaping ML systems that deliver real-time inference and anomaly detection on resource-constrained hardware. Collaborating closely with hardware, firmware, and platform teams, you’ll be responsible for seamlessly integrating and validating intelligent features within embedded environments. This role will involve building and automating MLOps solutions, overseeing experiment management, and ensuring scalable and compliant machine learning lifecycle practices suited to regulatory demands.
Key Responsibilities
  • Lead the implementation of sensor data pipelines—from requirements through real-world integration
  • Design, train, optimize, and deploy ML models specifically for edge or embedded platforms, focusing on performance and reliability
  • Combine deep experience in Python with one or more frameworks (PyTorch, TensorFlow) to deliver production-ready models
  • Partner with engineering and product teams to embed, monitor, and validate ML inference in device applications
  • Develop infrastructure and automations for experiment tracking, continuous training, evaluation, and secure model deployment
  • Maintain full documentation for all aspects of the ML lifecycle to enable audit, regulatory compliance, and operational excellence
Required Skills & Experience
  • Extensive experience working with sensor and streaming data in production settings
  • Expertise in Python and at least one major ML library (PyTorch, TensorFlow, or alternatives)
  • Practical experience deploying models on edge systems (e.g., TensorRT, ONNX, TFLite, or similar technologies)
  • Solid engineering background with proficiency in C or C++ for embedded systems collaboration
  • Familiarity with MLOps and model versioning, preferably in a regulated environment
Preferred Qualifications
  • 5+ years hands-on ML development, with significant experience in real-time or embedded applications
  • Background working on medical, wearable, or robotics platforms highly desirable
  • Demonstrated success working in cross-functional teams with hardware/firmware integration
  • Experience in high-growth companies or small teams
  • Bachelor’s or higher in Computer Science, Engineering, or a related field
Daily Activities
  • This role is hands-on and project-focused, where you’ll design new ML workflows, transform raw data, and continually iterate on model performance
  • You’ll support firmware engineers by ensuring seamless embedding and runtime validation of ML features
  • Work with DevOps and MLOps teams to automate deployments and create scalable, reliable ML solutions
  • Troubleshoot model issues, and refine algorithms for speed, accuracy, and compliance
Compensation & Benefits
Eligible for performance-based bonus or commission
Comprehensive benefits package including:
  • Health, dental, and vision insurance
  • Paid holidays and vacation
  • 401(k) retirement plan with company match (if applicable)
Applicants must have current authorization to work in the US on a full-time basis, now and in the future