Senior Research Engineer
1 month ago
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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