Algorithms Software Engineer

A Senior Algorithms Software role inside a growing Sydney Medtech firm. The role takes detection and classification algorithms from research and prototype design through to deployment in C++ within clinical-grade software, working closely with ML/AI, signal processing, embedded, and clinical teams.
  
The candidates we have placed into roles like this share a common profile: comfortable with modern C++, fluent in Python for prototyping and analysis, deep enough in DSP to translate algorithmic models into resource-constrained production code, and disciplined about the testing and validation standards medical-device software demands.
  
Interview Process
Three stages: technical conversation with engineering leadership, deep-dive panel covering algorithm design and C++ deployment patterns, and a final conversation with the founding / clinical leadership.
  
Responsibilities

• Take medical-imaging detection and classification algorithms from design to production using modern C++.
• Develop and maintain simulation software used to assist algorithm development and validation.
• Design and implement data analysis and algorithm-evaluation pipelines.
• Conduct unit testing to ensure software quality and reliability across the imaging pipeline.
• Develop and maintain CI/CD pipelines that support medical-device software.
• Support software and hardware engineering teams in informed decisions on deployed-system design.
• Advance software-architecture design processes within the team - reliability and performance on resource-constrained medical-device targets.
• Work closely with ML/AI, signal processing, embedded systems, clinical and regulatory teams.

Requirements

• Bachelor's (or higher) degree in Computer Science, Electrical / Biomedical Engineering or a similar technical field, or equivalent practical experience.
• 3+ years of software development experience - Python and C++ preferred.
• Ability to turn complex algorithms and mathematical models into high-performance software operating on sensor/imaging data.
• Strong working knowledge of modern architectural and software-design patterns.
• Comfortable working in Linux environments.
• Confident in communicating with engineers from non-software / data-science backgrounds.
• At least one compiled language (C++, Go or C).
• At least one scripting language (Python, JavaScript or Shell).
• Solid foundation in Digital Signal Processing concepts and techniques.
• Experience with Embedded Linux platforms.
• Test-driven development and revision control as everyday habits.

Bonus

• Exposure to SaMD (Software as a Medical Device) or IEC 62304 compliant development.
• Prior experience deploying ML/AI models into clinical or regulated environments.
• Continuous Integration pipeline design for medical-device software.

For more info, you can contact me at ••••@aeyandassociates.com or 04•• ••• 695.