MinePortal is a cloud-based platform that powers geotechnical knowhow of the rock in the mining industry for operational intelligence. Our mission is to push the envelope in Artificial Intelligence (AI), Geophysical IoT sensors, Machine Learning (ML), Data Management, Automatic Blast Loading, and Signal Processing, in order to provide the best-possible blast outcomes for our customers. We’re looking for a Senior Signal Processing Engineer to help build industry-leading seismic processing technologies that the world’s largest mines will adopt.
Reporting to the CTO, the Signal Processing Specialist role will include following broad responsibilities and any other assigned work from time to time.
Participating in design and execution of field tests for data collection and sensor system demonstration. Processing and quantitatively analyzing data from multiple sensor modalities.
Surveying current academic and industry research for state-of-the-art capabilities in new sensor phenomenology and generating innovative ideas to benefit the company
Feature extraction and identification over large data sets to feed automated algorithm development
Apply knowledge in electromagnetic theory, quantitative analysis, and signal processing to sensor solutions for challenges facing our sponsors.
Explore promising research and maintain/gain the technical edge required for projects. Share and develop new approaches and methods.
Develop and implement signal processing techniques for ground and drill-based acoustic sensors, including detection, monitoring, tracking, and parameter estimation.
Develop signal processing performance metrics and testing methodologies.
Contribute to analysis of algorithmic computational complexity and memory requirements.
Work with Hardware Engineers to specify and optimize sensor and IoT device design and configuration for multiple sensing use cases.
Interface closely with Application and UX Engineers to develop compelling analytical use cases to utilize signal outputs and insights.
PhD or master’s degree in electrical engineering, statistics, mathematics, applied physics, geosciences, or a related field.
Comprehensive knowledge of programming and experience in C, C++, Matlab, Python, Golang, or similar language used in the signal and image sciences.
Proficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information.
Experience in leading teams in the research, development, and implementation of signal and image processing algorithms.
Takes initiative, independent worker
Ability to deal with ambiguity and work in a fast-paced environment
Ability to manage multiple concurrent major projects with different tactical and strategic objectives
Can effectively assume an array of roles as appropriate in various kinds of organizations. These may entail different responsibilities, forms of leadership, team work, and project management.
Experience leading in environments that are highly volatile, cross-functional, and cross-organizational
Work Hours & Location
Full time, Flexible working hours, 15 days/year vacation
Work from home office and workspace in Vancouver
Some travel to Seattle and Client offices world wide
DataCloud is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, or national origin or any other characteristic protected under applicable local law. The Candidate must be authorized to work in Canada.
Founded in 2016, DataCloud delivers high-resolution rock mass characterization data to our clients in real-time. Our innovative measurement and analysis platform provides invaluable orebody insights during drill and blast operations. Our technologies help mine planning teams to dramatically improve their extraction efficiencies.
With our unique combination of skills in both mining and technology, DataCloud is helping to solve many of the problems that have challenged the mining industry for decades. Our founders come from institutions such as Stanford, UC-Berkeley and Cambridge, who have expertise in geosciences and cloud architecture.
Our portfolio of products and services span the latest in Geo-Statistics, Geo-Physics, and advanced digital and artificial intelligence technologies, including cloud computing, machine learning, advanced visualization, and new sensor technology enabled by IoT systems.