Associate Engineer – Tape Drive Mechatronics, Servo Systems & Robotics
Quantum
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- Location
- Centennial, CO
- Work style
- On-site
- Job type
- Full time
- Posted
- Oct 1
- 16 days ago
Career path
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About the company
Quantum
Information technology and services · 501 to 1,000 employees
What you'll do
- Support the design, analysis, testing, and improvement of tape drive and robotic storage systems, including servo controls, motor systems, and performance experiments.
- Analyze engineering data, investigate product issues, and document and present findings.
What you need
- An M.S. or Ph.D. in a related engineering field is preferred; strong B.S. candidates with relevant internships, research, co-op experience, or project work may also be considered.
- Education: a postgraduate degree or a bachelor's degree
Key skills
PythonMATLABservo control systemsdigital signal processingmotion controldata analyticsmachine learningroot-cause analysisstatistical methodsmathematical modelstroubleshootingwritten and verbal communication
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Key Responsibilities
Under the guidance of senior engineers, the Associate Engineer will contribute to the design, analysis, testing, and improvement of tape drive and robotic storage systems.
Responsibilities include:
Support development and testing of precision electromechanical systems used in tape drives and robotic storage products.
Assist in characterization of tape transport dynamics, motion control performance, and mechanical system behavior.
Contribute to development and optimization of servo control systems for positioning, motion, and tension-control applications.
Analyze motor-control systems including brushless DC motors, voice coil actuators, encoders, sensors, and feedback systems.
Apply digital signal processing techniques to measurement systems, diagnostics, filtering, and control applications.
Develop mathematical models and simulations to better understand system performance.
Design and execute engineering experiments and collect performance data.
Use Python and other engineering tools to analyze data, automate tests, and generate reports.
Apply statistical methods to evaluate product performance, reliability, and manufacturing variation.
Investigate product issues through structured root-cause analysis techniques.
Analyze telemetry and large engineering datasets to identify trends and performance correlations.
Support development of predictive analytics and machine-learning methods for reliability and performance analysis.
Collaborate with mechanical, electrical, firmware, recording, robotics, and manufacturing engineers.
Document test procedures, analytical methods, technical findings, and lessons learned.
Present technical results clearly to engineering teams and stakeholders.
Continuously develop subject-matter expertise in tape storage technologies and automation systems.
Required Education
M.S. or Ph.D. preferred in one of the following fields:
Mechanical Engineering
Mechatronics Engineering
Electrical Engineering
Robotics Engineering
Control Systems Engineering
Electromechanical Engineering
Applied Physics
Related Engineering Discipline
Strong B.S. candidates with relevant internships, research, co-op experience, or project work may also be considered.
Preferred Qualifications
The ideal candidate demonstrates:
Strong engineering fundamentals and analytical thinking
Curiosity and desire to learn complex technologies
Ability to connect theory, modeling, and experimental results
Experience with Python, MATLAB, or similar technical computing tools
Exposure to controls, robotics, signal processing, motion systems, data analytics, or reliability engineering
Excellent problem-solving and troubleshooting skills
Strong written and verbal communication skills
Ability to work effectively in multidisciplinary engineering teams
Preferred Experience
Exposure through research, internships, graduate projects, or employment in one or more of the following areas is desirable:
Robotics and automation
Motion control and servo systems
Mechatronics
Digital signal processing
Applied statistics and data analytics
Machine learning
Semiconductor equipment
Hard disk drives or storage systems
Precision instrumentation and measurement systems
Laboratory testing and engineering experimentation