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