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Cypress HCM · 5 months ago

Algorithm Engineer

United States

Full-time

Remote

Mid Level

$150K/yr - $190K/yr

3+ years exp

Cypress HCM is a dynamic Bay Area startup seeking a Wireless Location Algorithm Engineer tasked with designing, optimizing, and implementing advanced signal processing techniques and location estimation algorithms. This role will help determine the real-time positioning of devices in dynamic environments.

Human ResourcesInformation TechnologyStaffing Agency

Growth Opportunities

Responsibilities

Develop algorithms to extract highly accurate timing and spatial data from wireless signals in complex environments

Create both physical and virtual test setups to assess system components and ensure their performance in controlled scenarios

Acquire in-depth knowledge of operating principles and actively contribute to knowledge sharing within the team

Continuously analyze and improve existing location estimation methodologies, adapting them to meet the latest industry trends and standards

Qualification

Wireless communication systemsLocation estimation algorithmsPython programmingChannel State Information (CSI)Time Difference of Arrival (TDoA)Linux developmentRF hardware designMachine learning techniquesAdaptive filtering techniquesMATLAB proficiency

Required

PhD in Electrical Engineering, or equivalent research experience, specializing in wireless communications

3+ years of industry experience in location based wireless engineering

Comprehensive knowledge of wireless communication systems and protocols, particularly those in the IEEE 802.11 series

Expertise in wireless channel modeling and the effective use of Channel State Information (CSI)

Familiarity with key concepts like modulation schemes, coding techniques, spatial stream diversity, cyclic shift diversity, multipath interference, beamforming, and angle of arrival

In-depth understanding of Time Difference of Arrival (TDoA) and other location-based techniques

Solid grounding in time synchronization techniques and their practical applications

Proficiency in Linux-based development environments and command-line tools

Strong programming skills in Python, with hands-on experience using libraries such as NumPy

Familiarity with version control, particularly GIT

Adherence to best practices in software development, including modular design, interface abstraction, unit testing, and managing version compatibility