Posted 16 June, 2026
Performance Engineer
IMC
Sydney, Australia
Full Time
Reference: 102_710701_4531501101
As a Performance Engineer at IMC, you will play a pivotal role in analysing, optimising, and tuning our systems interaction with exchange systems holistically. Working closely with cross-functional teams, you'll be tasked with uncovering performance improvements across the trading stack. This role combines technical ingenuity with creative problem-solving to outsmart competition in one of the most demanding technical landscapes.
Your Core Responsibilities:
- Black Box Reverse Engineering and Analysis: Analyse and understand the behaviour of complex systems using black-box techniques, identifying performance bottlenecks and optimisation opportunities. Designing and performing statistical experiments to explain emergent real world phenomena.
- Experimentation & Prototyping: Design, implement, and test innovative ideas, experiments and technologies. Develop quick internal prototypes to evaluate performance and real-world applicability.
- Collaboration & Communication: Liaise effectively with traders, software and hardware engineers, and infrastructure teams to share insights and implement solutions.
- System Analysis: Analyse terabytes of network data to identify patterns, validate hypotheses, and optimise system performance.
Your Skills and Experience:
While not all of the below is required a deep understanding in at least one of the following areas would be an advantage
- Strong understanding of computer internals, Linux systems, and networking. Familiarity with tools and techniques for reverse engineering, kernel tuning, system-level optimisation, and low-level network optimisation.
- Proven commercial experience with Python and/or languages like C++ or Java.
- Familiarity with low-latency hardware technologies, such as Intel CPUs, FPGA, and microwave links.
- Understanding of complex, bespoke networks and networking stacks.
- Hands-on experience with performance tuning, and system-level optimisations.
- Experience with data and system analysis.
- Capable of working autonomously while contributing to a multidisciplinary team. Always looking for ways to gain an edge.