Staff Systems Engineer

Staff Systems Engineer

Sensors-based technology has a wide range of applications including navigation, gaming, smart user interface, multimedia, virtual reality and augmented reality. This challenging position offers the opportunity to work with leading edge sensor technologies embedded in smartphones, automotive, IOT, smartwatches as well as other consumer electronics devices. Job activities span the whole product life cycle from early R&D to commercial deployment.
 
Job responsibilities include:

• Working with global systems and software teams
• Developing sensor algorithms in high level languages (MATLAB, Python) including algorithm performance validation
• Making effective engineering tradeoffs between performance, memory, power consumption, and computational complexity
• Embedded software development in C/C++ for fixed & floating-point based designs
• Creating reports on algorithm evaluation results and delivering complete design and user documentation
• Communication of the design, results and issues to the product management, systems and SW leads
•  Leading the systems projects end-to-end from requirements gathering to systems design and SW implementation
• Mentoring and guiding junior engineers

Minimum Qualifications

• Bachelor’s degree in Electrical Engineering, Computer Engineering/Science, or related field with 6+ years Systems Engineering or related work experience.
• Master’s degree in Electrical Engineering, Computer Engineering/Science, or related field with 5+ years Systems Engineering or related work experience.
• PhD degree in Electrical Engineering, Computer Engineering/Science, or related field with 3+ years Systems Engineering or related work experience.

Preferred Qualifications

• Understanding of basic and advanced concepts of digital signal processing, linear algebra, probability and statistics
• Strong foundation in digital signal processing
• Advanced Machine Learning concepts including supervised and unsupervised learning, feature extraction, classification, logistic regression, Bayesian inference and Neural Networks
• Familiarity with ML libraries and packages
• Embedded programming skills with C/C++
• Strong analytical skills and ability to work in a dynamic and fast paced team environment
• Knowledge of MEMs & inertial sensors
• Excellent written and verbal communication skills
• Optional – 1+ years of experience in people management, mentoring and coaching junior engineers in technical and non-technical aspects.