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Software Engineer, Sensors

Pairwise

Salary not specified
Sep 4, 2025
Sunnyvale, CA, USA
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Pairwise is looking to solve the problem of enabling the next generation of technical talent to do their best work by partnering with leading technology companies to deliver high-performance engineering solutions. This specific role aims to drive the evolution of sensor systems for AR/VR applications by designing innovative frameworks and software components to enhance sensor fusion and machine learning algorithms.

Requirements

  • 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.
  • 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.

Responsibilities

  • 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.

Other

  • Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
  • MS in Computer Science, Machine Learning, Robotics, or a related technical field.
  • 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.