ABOUT THE JOB

At Pairwise, we are a team of engineers, operators, and builders focused on enabling the next generation of technical talent to do their best work. We partner with leading technology companies to deliver high-performance engineering solutions across embedded systems, networking, semiconductors, and software. Our teams have contributed to some of the most advanced products in consumer, infrastructure, and communications technologies.
This full-time role offers the chance to work on-site with a global leader in the technology industry, contributing to impactful, technically challenging projects in a high-caliber and fast-moving environment.

MINIMUM QUALIFICATIONS

• Bachelor’s degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
• 5+ years of experience in coding with C++ and Python for designing and developing sensor systems.
• Demonstrated experience with modern machine learning frameworks, such as PyTorch or TensorFlow.
• Proficiency in modern machine learning algorithms, including CNNs, RNNs, transformers, clustering, and dimensionality reduction.
• Experience with digital signal processing techniques including digital filtering, Fourier transform, correlation, and modulation.
• Proven experience in designing software systems and machine learning models for edge devices.

PREFERRED QUALIFICATIONS

• MS in Computer Science, Machine Learning, Robotics, or a related technical field.
• Familiarity with SLAM, VIO, and 3D image reconstruction techniques.
• Experience with radar/sonar imaging and familiarity with inertial sensors, pressure sensors, magnetometers, or similar technologies.
• Knowledge of emerging AR and VR technologies.
• Demonstrated ability in cross-group and cross-culture collaboration.
• High levels of creativity and quick problem-solving skills.

• Design and develop frameworks and core software components to implement, optimize, visualize, and debug sensor fusion and machine learning algorithms.
• Architect, design, and prototype critical sensor technologies that combine multiple sensing modalities, balancing system-level constraints on compute, performance, and power.
• Collaborate with other engineers and researchers to develop new concepts and technologies for sensor systems in AR/VR, including novel sensing algorithms.
• Prototype and evaluate new sensing modalities that advance state-of-the-art AR/VR systems.
• Optimize software systems and machine learning models for deployment on edge devices.