Machine Learning Systems & Performance Engineer - HFT - Sydney
Core
Build high-performance machine learning infrastructure spanning compilers, runtimes, optimizers, and heterogeneous hardware to accelerate research and production workloads.
Role type
Senior IC machine learning systems and performance engineer (HFT)
Builds
Optimizers, code generators, runtime libraries, computation orchestration systems, and ML framework infrastructure
Domain
High-frequency trading (HFT) / Machine Learning Infrastructure / Systems Programming
Deliverable
production ML models
Required skills
C++, Rust, Python, MLIR, CUDA, compiler development, code generation, heterogeneous computing, performance profiling, system architecture
Preferred skills
Experience with distributed systems, low-level hardware optimization, rapid research iteration
Technologies
C++, Rust, Python, MLIR, CUDA, compilers, heterogeneous hardware
Responsibilities
Designing and developing machine learning framework infrastructure; Optimizing runtimes and compute pipelines for maximum hardware performance; Building tooling that accelerates research iteration; Profiling and analyzing hardware behavior to identify performance bottlenecks; Improving hot paths and extracting maximum performance from available hardware; Evaluating technical approaches and selecting the right language or tool for each problem
Seniority
Senior, hands-on IC
