Engineering Manager - Data Processing
Role Overview
Lead the Data Processing engineering group end to end across delivery, quality, support, technical direction, and people.
Own outcomes for a team developing core mapping, autonomy, processing, and calibration capabilities.
Key Skills for This Role
Full Job Posting
The role
Lead the Data Processing engineering group end to end across delivery, quality, support, technical direction, and people.
Own outcomes for a team developing core mapping, autonomy, processing, and calibration capabilities.
About Emesent
Emesent develops autonomous LiDAR mapping and drone autonomy technology for underground mines, GPS-denied environments, and complex-built spaces.
The company serves customers across mining, defence, and AEC surveying and is scaling its product portfolio.
Team scope
- The group owns SLAM processing and workflows for Hovermap and GX1, including merging, colourisation, georeferencing, and calibration.
- The team supports real-time visualization, autonomous flight, Aura desktop processing, Aura Cloud processing, and scanner calibration.
- The role covers applied research through production software and production enablement.
Core responsibilities
- Represent user needs, partner with Product, and connect technical roadmaps to customer and business outcomes.
- Lead architecture, delivery planning, quality, reliability, support, incident response, and technical sustainability.
- Allocate people across feature work, support, and technical debt while maintaining predictable commitments.
- Develop people through feedback, coaching, performance management, hiring, and direct handling of difficult conversations.
- Help establish shared management practices, playbooks, and rituals across the Engineering Management group.
What you bring
- Experience managing senior specialist engineers in robotics, geospatial, computer vision, perception, or another algorithm-heavy domain.
- Experience taking algorithmic or systems-heavy work from research or prototype to reliable production software.
- Strong software architecture experience with clean interfaces, target architectures, and reliability practices.
- Delivery leadership that builds stakeholder trust through dependable commitments and early risk communication.
- People-development experience covering feedback, coaching, hiring, and performance management.
- Cloud architecture experience is ideal as processing expands to SaaS workflows.
What good looks like after twelve months
- The group is closer to its target architecture, with cleaner interfaces and a stronger reliability suite.
- At least one core SLAM improvement has shipped.
- The engineering bench is stronger and delivery is predictable enough for commercial and manufacturing planning.
- At least one introduced practice has become standard across the engineering management group.
Perks
- A nine-day fortnight with every second Friday off.
- Employee Share Option Plan, learning and development opportunities, flexible working arrangements, and casual dress.
- Employee Assistance Program and online telehealth support.
- A full day of leave each year for the employee's work anniversary.
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