Senior Software Engineer – Cloud HPC for Geoscience

JobSpace; Christchurch; On-site; NZD 120,000 - 180,000; Full time

Benefits offered by this job

Office-based Christchurch (3+ days/wk)

Job summary

Seequent, based in Christchurch, NZ, seeks a Senior Software Engineer (Technical Computing) to lead the design, development, and optimisation of cloud-enabled geoscience compute workloads. You will work in a small, focused team to build scalable frameworks and migrate desktop algorithms to cloud-native solutions.

Lead technical discussions, collaborate with geotech and geostatistics teams, and contribute to a culture of engineering excellence.

Qualifications

• 5+ years of professional experience in designing and developing scalable, testable code.
• Strong foundation in clean architectures and design patterns.
• Experience with parallel computing or distributed systems.

Responsibilities

• Design, develop, and maintain shared frameworks and libraries enabling geoscience compute workloads in the cloud.
• Support the transition of existing desktop-based algorithms into scalable cloud-native solutions.
• Collaborate with other engineering teams to enable adoption of the cloud compute framework.
• Contribute to code reviews and provide guidance on best practices for performance-focused development.
• Develop and optimise computational algorithms for performance and scalability.
• Apply profiling and optimisation techniques to improve efficiency on CPUs and GPUs.
• Contribute to parallelisation strategies and high-performance computing approaches.
• Support development of reusable algorithmic components leveraged by multiple teams.

Skills

C/C++

Python

Performance profiling

GPU computing

CI/CD

Distributed systems

Cloud environments

Education

Bachelor's degree in Computer Science or Engineering

Tools

GitHub

GitLab

Job description

Seequent, based in Christchurch, NZ, seeks a Senior Software Engineer (Technical Computing) to lead the design, development, and optimisation of cloud-enabled geoscience compute workloads. You will work in a small, focused team to build scalable frameworks and migrate desktop algorithms to cloud-native solutions.

Lead technical discussions, collaborate with geotech and geostatistics teams, and contribute to a culture of engineering excellence.