Senior Algorithms Engineer

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This range is provided by TheDriveGroup. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

A$150,000.00/yr - A$200,000.00/yr

An opportunity exists for a seasoned Senior Algorithms Engineer to join a cross-functional team building advanced real-time detection and tracking systems. This role involves shaping the evolution of a sensor fusion engine designed to detect and respond to next-gen aerial threats, with a particular focus on swarm tracking and performance optimisation.

Working within a fast-paced, collaborative environment, this engineer will apply expertise in algorithm development, performance tuning, and real-time data processing to deliver high-performance solutions in live deployments.

Responsibilities

• Lead innovation within a sensor fusion engine by improving tracking capabilities for high-density threat scenarios
• Design, profile, and optimise real-time, data-intensive applications using multi-threading, language bindings, and GPU acceleration
• Implement and assess novel tracking algorithms, drawing on current academic research and internal validation
• Maintain CI/CD infrastructure that enforces high code quality, runtime stability, and release integrity
• Contribute to cross-disciplinary projects by collaborating with engineers across software, embedded, and AI teams
• Apply structured engineering principles including testing, version control, and modular refactoring
• Assist in troubleshooting system behaviour and supporting downstream users in integration efforts
• Support observability and diagnostics through performance metrics and system instrumentation

Qualifications & Experience

• Degree in Computer Science, Mathematics, Physics or a related technical discipline
• 5+ years of experience in software engineering or algorithm development roles
• Proficiency in modern C++ with additional experience in Python or other OOP
• Experience working with GPU-based computation frameworks (e.g. CUDA, TensorRT)
• Familiarity with software performance profiling and code optimisation techniques
• Comfortable using CMake, CI/CD pipelines, unit testing frameworks, and Git
• Experience with Linux-based development and Docker-based environments
• Strong grasp of data structures, computational complexity, and applied mathematics
• Knowledge of multi-object tracking, sensor fusion, or multi-sensor systems
• Background in applied machine learning or probabilistic inference
• Familiarity with system monitoring tools such as Prometheus, Grafana, etc.

Ideal Profile

• Highly analytical with a deep interest in performance-critical systems
• Passionate about solving real-world challenges using elegant, efficient code
• Capable of leading the transition from research concepts to production-grade implementations
• Thrives in agile, fast-paced, and technically challenging environments
• Comfortable working independently or collaboratively across functional areas
• Dedicated to continuous learning and excellence in engineering craft

For more info contact me on , or at

Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• Job functionInformation Technology
• IndustriesDefense and Space Manufacturing and Medical Equipment Manufacturing

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