Job Title- Sensor systems Engineer and data analytics
Project Location REMOTE OK to travel onsite maybe once a month (paid by client)
Duration- 6 months contract
Visa- USC/ GC/ GCEAD
Job Description-:
YES - Strong Fit
10 years working with biometric inertial or similar sensors
Hands-on sensor testing calibration and characterization
Strong AFE / analog signal conditioning background
Experience with lab instrumentation (oscilloscopes DAQs test setups)
Skilled in Python or MATLAB for raw sensor data analysis
Understanding of embedded sensor interfaces (I C SPI UART)
Ability to translate data findings to firmware/hardware teams
NOT A FIT - Please Do Not Submit
Software/IT/Cloud engineers
Data analysts without hardware/sensor experience
Electrical engineers with only PCB layout experience
Firmware engineers with no sensor testing
RF/telecom/power engineers
Mechanical-only backgrounds
Anyone without AFE sensor experimentation experience
Less than 6 years of sensor or measurement systems experience
Please make sure submitted resumes clearly show direct experience with sensor systems AFEs hands-on testing and data analysis.
Company Overview: CLient is a leading provider of alcohol and location monitoring hardware software and mobile apps including the Continuous Alcohol Monitoring bracelet the LifeSafer L250 Ignition Interlock device and LifeSafer Intelligence Speed Assistance. We provide an integrated approach to supporting our customers by offering solutions specific to court and agency needs in the community corrections industry throughout all phases of client management.
As a company we are committed to continuing our tradition of re-engineering operations to streamline processes enhance productivity and improve client outcomes through constant innovation. Our purpose is to change lives reunite families and make our communities safer through advanced technology and world-class service.
Job Summary: We are seeking a highly capable and self-directed engineer who combines deep technical intuition with strong data analysis skills. The ideal candidate will bridge hands-on sensor system experimentation with data-driven insight enabling cross-functional teams to translate measurement results into improved firmware and product performance.
This role sits at the intersection of hardware experimentation data analytics and system optimization. Youll design and execute sensor experiments analyze results and communicate findings clearly to firmware and hardware engineering teams. Experience with Analog Front Ends (AFEs) and sensor signal processing is essential.
Duties/Responsibilities:
- Design execute and analyze experiments for biometric and inertial sensor systems.
- Perform data analysis and visualization of sensor performance metrics extracting actionable insights for firmware implementation.
- Collaborate with firmware and hardware engineers to integrate and validate findings from experimental results.
- Establish robust test setups and data pipelines for ongoing validation and regression analysis.
- Document results methodologies and recommendations in clear review-ready reports.
- Act as an independent problem-solver who identifies when to bring in domain experts for deeper review.
- Model sensor behavior including noise drift and temperature effects.
Skills/Abilities:
- Skilled with lab instrumentation (oscilloscopes DAQs precision analyzers).
- Proven ability to communicate quantitative findings to multidisciplinary teams.
- Knowledge of embedded systems and firmware integration.
- Familiarity with PCB design tools (Altium Cadence etc.) is a plus.
- Understanding of environmental and reliability testing for precision electronics.
- Demonstrated experience in designing and interpreting controlled experiments and statistical data analysis.
- Track record of success in contract-based or consulting roles requiring autonomy and accountability
- Strong background in analog front ends signal conditioning and sensor interfacing (I C SPI UART).
- Proficiency with data analysis tools (e.g. Python MATLAB NumPy/Pandas Jupyter).
Education and Experience:
- Bachelors or Masters in Electrical Engineering Physics or related technical discipline.
- 10 years of hands-on experience in sensor systems development
- Experience with sensor fusion and algorithm validation.
Job Title- Sensor systems Engineer and data analytics Project Location REMOTE OK to travel onsite maybe once a month (paid by client) Duration- 6 months contract Visa- USC/ GC/ GCEAD Job Description-: YES - Strong Fit 10 years working with biometric inertial or similar sensors Hand...
Job Title- Sensor systems Engineer and data analytics
Project Location REMOTE OK to travel onsite maybe once a month (paid by client)
Duration- 6 months contract
Visa- USC/ GC/ GCEAD
Job Description-:
YES - Strong Fit
10 years working with biometric inertial or similar sensors
Hands-on sensor testing calibration and characterization
Strong AFE / analog signal conditioning background
Experience with lab instrumentation (oscilloscopes DAQs test setups)
Skilled in Python or MATLAB for raw sensor data analysis
Understanding of embedded sensor interfaces (I C SPI UART)
Ability to translate data findings to firmware/hardware teams
NOT A FIT - Please Do Not Submit
Software/IT/Cloud engineers
Data analysts without hardware/sensor experience
Electrical engineers with only PCB layout experience
Firmware engineers with no sensor testing
RF/telecom/power engineers
Mechanical-only backgrounds
Anyone without AFE sensor experimentation experience
Less than 6 years of sensor or measurement systems experience
Please make sure submitted resumes clearly show direct experience with sensor systems AFEs hands-on testing and data analysis.
Company Overview: CLient is a leading provider of alcohol and location monitoring hardware software and mobile apps including the Continuous Alcohol Monitoring bracelet the LifeSafer L250 Ignition Interlock device and LifeSafer Intelligence Speed Assistance. We provide an integrated approach to supporting our customers by offering solutions specific to court and agency needs in the community corrections industry throughout all phases of client management.
As a company we are committed to continuing our tradition of re-engineering operations to streamline processes enhance productivity and improve client outcomes through constant innovation. Our purpose is to change lives reunite families and make our communities safer through advanced technology and world-class service.
Job Summary: We are seeking a highly capable and self-directed engineer who combines deep technical intuition with strong data analysis skills. The ideal candidate will bridge hands-on sensor system experimentation with data-driven insight enabling cross-functional teams to translate measurement results into improved firmware and product performance.
This role sits at the intersection of hardware experimentation data analytics and system optimization. Youll design and execute sensor experiments analyze results and communicate findings clearly to firmware and hardware engineering teams. Experience with Analog Front Ends (AFEs) and sensor signal processing is essential.
Duties/Responsibilities:
- Design execute and analyze experiments for biometric and inertial sensor systems.
- Perform data analysis and visualization of sensor performance metrics extracting actionable insights for firmware implementation.
- Collaborate with firmware and hardware engineers to integrate and validate findings from experimental results.
- Establish robust test setups and data pipelines for ongoing validation and regression analysis.
- Document results methodologies and recommendations in clear review-ready reports.
- Act as an independent problem-solver who identifies when to bring in domain experts for deeper review.
- Model sensor behavior including noise drift and temperature effects.
Skills/Abilities:
- Skilled with lab instrumentation (oscilloscopes DAQs precision analyzers).
- Proven ability to communicate quantitative findings to multidisciplinary teams.
- Knowledge of embedded systems and firmware integration.
- Familiarity with PCB design tools (Altium Cadence etc.) is a plus.
- Understanding of environmental and reliability testing for precision electronics.
- Demonstrated experience in designing and interpreting controlled experiments and statistical data analysis.
- Track record of success in contract-based or consulting roles requiring autonomy and accountability
- Strong background in analog front ends signal conditioning and sensor interfacing (I C SPI UART).
- Proficiency with data analysis tools (e.g. Python MATLAB NumPy/Pandas Jupyter).
Education and Experience:
- Bachelors or Masters in Electrical Engineering Physics or related technical discipline.
- 10 years of hands-on experience in sensor systems development
- Experience with sensor fusion and algorithm validation.
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