Like a challenge? We’re a team-oriented, results-focused, strengths-based company who invest in our business, people, and our community. We get to tackle meaningful and exciting work to support our amazing resource sector by providing professional services to private and public sector organizations. We use design, innovation and creativity to help our clients solve real-world problems.
Silvacom is an award-winning company and one of Canada’s Top Small & Medium Employers and Alberta’s Top Employers. At Silvacom, Corporate Social Responsibility is a part of our company fabric. We are socially accountable, to ourselves, our stakeholders, and the public.

We like to work-hard, play-hard, and enjoy fantastic company events like:

• Video Game Night
• Bacon Breakfast
• Family Picnic
• Awards Night
• Public Skating
• Escape Room events
• Pizza Day
• K-100 Relay Race
• Halloween Party
• Chili Cook Off
• Christmas Gift Exchange

THE OPPORTUNITY:

We’re looking for a LiDAR Remote Sensing Specialist to join our Remote Sensing Team. In this role, you’ll contribute to the development of enhanced forest inventory products by transforming airborne LiDAR data into practical, scalable insights. You’ll collaborate closely with experts across forestry, GIS, and software to help clients make informed decisions about the land they manage. This role is ideal for someone who enjoys solving technical challenges, values precision, and thrives in a team-oriented environment.

• Process and analyze LiDAR datasets to derive LiDAR metrics and forest stand structure attributes (e.g., tree height, volume, canopy cover).
• Develop, calibrate, and validate forest inventory models using LiDAR and ground plot data.
• Build efficient workflows for LiDAR data processing, quality control, and output generation.
• Contribute to regional and provincial-scale inventory projects across Canada.
• Collaborate with multidisciplinary teams to deliver high-quality, client-ready results.
• Stay up to date with emerging tools and techniques in remote sensing and inventory modeling.