Senior Research Scientist - Signal Processing - AQNav

As a Senior Research Scientist, you will develop advanced signal processing and noise subtraction algorithms for a state-of-the-art magnetic navigation system. Working closely with the data, AI/ML, and navigation teams, you will design algorithms to remove noise and artifacts from sensor data streams. You will also create digital twins to generate realistic noise models, enabling the training of new algorithms. Continuously refining models with new sensor data and algorithm enhancements, you will ensure their accuracy for ongoing testing. Additionally, you will analyze results, identify optimization opportunities, and collaborate with cross-functional teams to enhance system performance and reliability, driving advancements in aircraft navigation and sensor integration.

• Collaborate with multidisciplinary teams to apply signal processing and ML techniques to real-world sensor data problems.
• Work with environmental and motion sensor data from magnetometers, inertial sensors, and others.
• Leverage classical ML for quantifying sensor data and sensor fusion.
• Develop signal conditioning, denoising, and extraction algorithms from time series sensor data.
• Conduct experiments and simulations to evaluate and optimize the performance of denoising algorithms.
• Explore and integrate machine learning methods to enhance signal processing techniques and achieve better noise reduction.
• Collaborate with multidisciplinary teams to integrate learnings into broader system architectures.
• Contribute to a Python library of cloud-based signal processing tools and work with SWEs to implement algorithms in a real-time environment.

• Bachelor’s Degree in a relevant field with 5+ years software development in a rapidly scaling startup or research setting.
• Strong foundation in signal processing concepts, including Fourier analysis, filtering, modulation, and spectral estimation.
• Experience with <100 kHz time series sensor data (e.g. accelerometers, bio-potential, magnetometers, etc.) and signal conditioning algorithms (e.g. Wiener filter, Kalman filter, PCA/ICA, etc.)
• Strong foundation in Python, with experience in numerical/scientific Python (e.g. NumPy, SciPy, etc.)
• Experience with machine learning techniques for signal processing applications.
• Problem-solving skills and ability to work independently or collaboratively.
• Ability to thrive in ambiguous situations.

• Master’s or Ph.D. in Electrical Engineering, Physics, Applied Mathematics, or a related field
• Experience with C/C++ for higher-performance
• Experience with cloud deployment utilities (e.g. AWS/GCP/etc)
• Experience in a research environment
• Background in aviation

The US base salary range for this full-time position is expected to be $154k-$216k per year. Our salary ranges are determined by role and level. Within the range, individual pay is determined by factors including job-related skills, experience, and relevant education or training. This role may be eligible for annual discretionary bonuses and equity.