Senior Algorithm Engineer

Job Description Job Description Location Algorithm Engineer Location: Belmont, CA (hybrid) Employees : Industry : Wireless services Position Reporting To: Principal Engineer Dynamic Bay Area startup is seeking a Wireless Location Algorithm Engineer tasked with designing, optimizing, and implementing advanced signal processing techniques and location estimation algorithms. This work will help determine the real-time positioning of devices in dynamic environments. Most Important 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. Required Experience and Skills : 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. Preferred Skills : Knowledge of RF certification bodies and understanding of relevant regulatory standards. Practical experience with RF hardware design or system interfacing. Background in modeling uncertainty in complex systems. Exposure to machine learning techniques in Python, including GPU optimization. Experience with adaptive filtering techniques. Expertise with adaptive filtering techniques. Expertise in modeling 3D wireless channels using ray tracing or similar advanced methods. Advanced Python skills, including classes, asynchronous programming, and list comprehensions. Experience with embedded systems or real-time programming environments. Proficiency in MATLAB for simulation and modeling purposes. Featured Benefits: Medical, Vision, Dental, Stock Options Compensation: $150 – $190K + Stock Options