Job Description
Software Engineer | 3D Processing Platform
Sydney | Core Framework | Python | Real Engineering
This is not web.
Not CRUD.
Not “data engineer but with a 3D buzzword”.
This is a core processing platform role sitting at the heart of a production 3D pipeline.
If you like owning real systems, shaping architecture, and improving actual algorithmic throughput — keep reading.
The Role
You’ll take ownership of a Python-based processing framework that underpins large-scale 3D workflows.
This is platform engineering in the literal sense: core algorithms, performance, system design, reliability.
You will:
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Build and evolve a Python processing framework (NumPy-heavy, algorithmic)
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Work deeply in 3D domains (point clouds, geometry, spatial reasoning)
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Integrate large-scale processing into cloud infrastructure (without becoming “just infra”)
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Partner with ML, DevOps and 3D web architecture engineers
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Coordinate execution with a high-performing offshore team
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Improve throughput, quality, observability and stability across the pipeline
You're not building APIs for dashboards. You're shaping the engine.
What We’re Looking For
Core:
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5+ years software engineering experience
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Strong Python (comfortable with NumPy and scientific stacks)
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Solid cloud fundamentals
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Genuine 3D conceptual reasoning ability
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Docker + Linux fluency
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Clear communicator across time zones
Nice to Have:
Backgrounds That Translate Well
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3D processing / point cloud systems
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Photogrammetry pipelines
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Geospatial (true 3D, not just maps)
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Computer vision / morphology
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Robotics perception stacks
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Scientific computing
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Simulation engines
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Graphics-adjacent processing frameworks
If you’ve worked on perception for drones, SLAM pipelines in robotics, reconstruction from multi-view imagery, or scientific simulation engines, this is the right flavour.
What Success Looks Like
First 90 Days
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Understand framework architecture and core algorithms
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Take ownership of key modules
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Establish cadence with local + offshore teams
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Ship meaningful fixes or performance wins
At 12 Months
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Framework is measurably more stable and scalable
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Throughput and quality improvements are quantifiable
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Documentation isn’t tribal knowledge anymore
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Cross-team trust is high
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Offshore execution runs smoothly and predictably
Who This Suits
Someone who:
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Gets satisfaction from making core systems faster and cleaner
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Likes algorithmic problem solving in spatial domains
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Wants ownership without bureaucracy
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Is comfortable sitting between ML and infrastructure without being boxed into either
If you’re bored of shipping endpoints and want to work on the engine room of a 3D platform, this is that move.
Apply direct or reach out to Toby Tank: toby@theonset.com.au