Embark on an innovative journey with us as an Algorithm and Signal Processing Engineer! Our visionary company is dedicated to revolutionizing digital interactions through cutting-edge 3D tracking technology. As a leading staffing partner, we are thrilled to support our client's mission to redefine the digital transformation landscape, addressing long-standing industry limitations.
Our client's dynamic team is driving innovation with a groundbreaking permanent magnet approach, ushering in a new era in 3D tracking. With industries evolving rapidly, our staffing solutions connect talented professionals to unparalleled opportunities, enabling them to contribute to transformative advancements in this exciting journey. Join us and be part of shaping the future of technology!
Responsibilities
- Design and prototype algorithms for processing and fusing raw sensor data to enhance tracking performance and resilience.
- Define and improve key performance metrics for processed data and positioning tracking, including precision, accuracy, range, noise level, and output data rate.
- Lead the design and automation of experiments to validate algorithm and hardware performance.
- Conduct statistical and geometric analysis on raw sensor data to optimize software and hardware configurations.
- Develop and model non-ideal behaviors of physical systems for precise measurements.
- Contribute to exploring and developing new technologies as a core member of our R&D team.
Qualifications
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science with a focus on signal processing or algorithms, or a related field.
- A minimum of 4 years of professional postgraduate experience in the United States.
- Proficiency in C, C++, and Python for data processing, modeling, and simulations.
- Experience in designing signal processing algorithms for real-time time series data.
- Familiarity with machine learning frameworks such as TensorFlow or PyTorch.
- Ability to design and implement real-time optimization algorithms, including linear and nonlinear solvers.
- Profound understanding of coordinate and pose transformations.
- Strong background in linear algebra, physics, and electromagnetics.
- In-depth knowledge of deterministic, statistical signal processing, and optimization techniques.
Nice to Haves
- Experience in modeling real-sensor systems under adverse conditions.
- Proficiency in machine learning techniques for data analysis and algorithm development.
- Experience in microsecond to millisecond scale real-time algorithm development.
- Expertise in 3D tracking systems, including optical and EM-based systems.
