Senior Research Engineer

3 weeks ago


Oakville, Canada Mapsted Corp. Full time

About Company

Mapsted (www.mapsted.com) is leading a new era of location technology. We provide groundbreaking location-based digital products that help our clients reach and exceed their business goals. Mapsted makes the impossible a reality through groundbreaking innovations in technology, ensuring our clients can deliver cutting edge indoor navigation, targeted marketing, and real-time location intelligence solutions to their customers without Bluetooth beacons, Wi-Fi connectivity, or additional external hardware.

Job Description:

We are looking for a passionate, self-motivated, organized, and team-oriented Senior R&D Engineer with specific expertise in algorithm development and optimization theory to design key system components with applications to indoor positioning. Background in object-oriented programming design and complexity/performance optimization are assets.

Required Background:

· PhD in Engineering, Applied Mathematics, Computer Science or a related field

· Strong analytical, conceptual, innovative, and problem-solving abilities

· Strong background in signal processing, adaptive filtering, optimization theory, and probability theory

· Foundation in advanced mathematics

· Must be capable of working in both a team-setting and independently

· Effective communicator (both orally and written)

· Innovative thinker with very excellent problem-solving skills

· Ability to understand real-world data and the challenges thereof (i.e., not just computer simulations)

Required Skills (Expertise in some of the following):

· Prior experience with positioning, localization, or navigation (indoor and/or outdoor), is an asset

· Prior experience working with Bayesian filters is an asset (e.g., Kalman Filters, Particle Filters, HMMs)

· Understanding of key indoor positioning technologies/techniques (e.g., IMU, WiFi, BLE, Magnetic Field)

· Experience working with magnetometer/magnetic field data.

· Prior experience with sensor fusion or data fusion is an asset

· Experience in machine learning, deep learning, learning algorithms are an asset

· Experience in computer programming (e.g., working with C#, C++, or a similar language)

· Good coding practices and a good understanding of computational complexities

· Good understanding of object-oriented programming

· Capable to learn and willing to contribute to both the “research” and the “development”

Interested candidates should send their resume and a cover letter describing their experience and suitability for the position.

Job Types: Full-time, Permanent

Benefits:

  • Casual dress
  • Dental care
  • Disability insurance
  • Extended health care
  • Flexible schedule
  • Life insurance
  • On-site parking
  • Paid time off
  • Vision care

Schedule:

  • 8 hour shift

Work Location: In person

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