Contract Lifesafer Interlock Jobs (NOW HIRING)

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 (I²C, 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. You’ll 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 (I²C, SPI, UART).
• Proficiency with data analysis tools (e.g., Python, MATLAB, NumPy/Pandas, Jupyter).

 Education and Experience:

• Bachelor’s or Master’s 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.