Principal Software Developer

Software Full Time Richmond, BC Hybrid $135,000 - $190,000 CAD per year

Founded and based in Richmond, BC, Ideon Technologies uses the energy from supernova explosions in space to image deep beneath the Earth’s surface. The world pioneer in cosmic‑ray muon tomography, Ideon has developed the REVEAL™ Subsurface Intelligence Platform™, comprising an advanced suite of proprietary data‑generation hardware, software, AI‑powered services, and multi‑physics fusion that provide x‑ray‑like visibility deep underground and unlock the exponential power of integrated spatial data.

By transforming muon data into reliable 3D density maps, Ideon helps geologists identify, map, characterize, and monitor mineral deposits with confidence. This reduces risk and cost of traditional methods, while saving time, optimizing return, and minimizing environmental impact across the mining value chain. In turn, this is helping accelerate the world’s transition to low‑impact mining and transform how companies recover the critical minerals required to power the global shift to clean energy – improving peoples’ lives and enhancing economic prosperity.

We are a dynamic tech scale‑up of 80 employees (and growing!), and a team that is entrepreneurial by nature and focused on doing things right to deliver great customer outcomes. We are committed to seeking out the best brains and the most exceptional humans, wherever they come from and however they happen to be packaged.

We’re seeking a Principal Software Developer to report to the Director of Software Engineering and collaborate closely with software developers, data scientists, geoscientists, applied scientists, and Dev Ops. This is a hands‑on individual‑contributor role.

Ideon’s software engineering team has grown significantly, with strong senior developers building complex systems across cloud platforms, scientific compute, data pipelines, and customer‑facing products. As we enter our next growth phase, we’re expanding into new domains such as AI‑enabled workflows, intelligent automation, and large‑scale compute platforms.

This role will help guide critical technical decisions as we scale 2x–5x, challenging assumptions, shaping architecture, and supporting teams to make better decisions earlier. You’ll also contribute to AI‑first practices, engineering standards, and scalable platform design—using deep technical expertise, strong judgment, and influence through execution.

• Act as a senior technical contributor, partnering with teams to solve complex problems and guide critical decisions.
• Spend hands‑on time in the codebase, focusing on high‑risk, high‑impact areas and building prototypes or proofs‑of‑concept to de‑risk architecture.
• Support software developers through design, optimization, and debugging, helping teams make strong decisions early and move faster with less rework.
• Lead architectural design and platform evolution across APIs, distributed systems, data pipelines, and cloud infrastructure, ensuring alignment with business priorities.
• Establish reusable patterns and reference architectures to scale development and reduce duplication across teams.
• Drive pragmatic build vs. buy decisions and document key architectural tradeoffs to strengthen institutional knowledge.
• Own and evolve architecture for large‑scale compute systems, including distributed workloads, scheduling, and optimization across CPU, memory, and GPU.
• Evaluate and guide adoption of HPC and distributed technologies (e.g., Ray, Dask, Kubernetes, Azure HPC) to support scalable compute platforms.
• Apply an AI‑first mindset
  , identifying how AI and automation can shape architecture, improve engineering productivity, and unlock new product capabilities.

• Contribute to Ideon’s broader software engineering strategy: participating in planning cycles, roadmap reviews, and strategic discussions with leadership.

• Faster, higher‑quality technical decisions, with clear tradeoffs and reduced rework.
• Scalable, well‑architected systems and platforms that support growth and increase team velocity.
• Reliable, efficient compute systems and…