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Apple Motion Sensing Technology Development Characterization Engineer United States, California, Chula Vista 520160501
Yesterday
Description
Experience in generic troubleshooting techniques: Root Cause Analysis, problem isolation, parametric sweep analysis, regression testing, identification of faulty test setup, and statistical analysis techniques.Data analysis: Correlations and trend extraction of data. Multivariate distributions. Signal conditioning and frequency domain processing of raw sensor signals. Temporal and frequency filtering techniques. Estimation and optimization knowledge are encouraged.Experience developing models to simulate the use of/or performance of a sensor. Familiarity with FEA and Monte Carlo Simulation beneficial. Sensor signal processing: Extraction of calibration parameters. Noise characterization. Filtering techniques. Data labeling techniques.Strong software development skills. Coding for embedded and high-level platforms. Scripting for automation. Familiarity with high-level communication protocols. Ability to configure and program web servers and write and interface to custom RESTful APIs.Familiarity with micro-electromechanical systems and the challenges associated with delivering reliable MEMS sensors.Familiarity with firmware design, driver development, microcontrollers, I2C, SPI and/or SPMI protocols.Openness to learning or familiarity with mechanical design software beneficial.High interest in learning and development of skills mentioned above.Team player, with demonstrable skills in time management, meeting deadlines, producing reliable test results, and working to continually improve testing methodologies.Excellent written and verbal English communication skills.
Minimum Qualifications
- BS and a minimum of 3 years relevant industry experience
Preferred Qualifications
- Experience in generic troubleshooting techniques: Root Cause Analysis, problem isolation, parametric sweep analysis, regression testing, identification of faulty test setup, and statistical analysis techniques.
- Data analysis: Correlations and trend extraction of data. Multivariate distributions. Signal conditioning and frequency domain processing of raw sensor signals. Temporal and frequency filtering techniques. Estimation and optimization knowledge are encouraged.
- Experience developing models to simulate the use of/or performance of a sensor. Familiarity with FEA and Monte Carlo Simulation beneficial.
- Sensor signal processing: Extraction of calibration parameters. Noise characterization. Filtering techniques. Data labeling techniques.
- Strong software development skills. Coding for embedded and high-level platforms. Scripting for automation. Familiarity with high-level communication protocols. Ability to configure and program web servers and write and interface to custom RESTful APIs.
- Familiarity with micro-electromechanical systems and the challenges associated with delivering reliable MEMS sensors.
- Familiarity with firmware design, driver development, microcontrollers, I2C, SPI and/or SPMI protocols.
- Openness to learning or familiarity with mechanical design software beneficial.
- High interest in learning and development of skills mentioned above.
- Team player, with demonstrable skills in time management, meeting deadlines, producing reliable test results, and working to continually improve testing methodologies.
- Excellent written and verbal English communication skills.
Pay & Benefits
- At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $135,400 and $250,600, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
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