Systems Software Engineer (Rust, ML Inference)

About the role

ai-coustics is seeking a Systems Software Engineer to join the Systems team, working at the core of the real-time Audio AI SDK and inference infrastructure. You will help maintain, optimize, and expand the SDK that powers ai-coustics' speech enhancement and Voice AI products across a wide range of platforms, runtimes, and languages.

What you'll do

• Design, implement, and optimize systems-level components of the ai-coustics SDK and inference runtime
• Improve the performance, memory usage, and stability of the Airten real-time inference engine
• Work on model execution, tensor operations, scheduling, streaming inference, and runtime abstractions
• Support deployment of neural audio models across CPU, WASM, and other constrained runtime environments
• Develop and maintain DSP modules and supporting audio-processing infrastructure
• Maintain and expand C API and public C library, and support wrappers for C++, Python, and Rust
• Design, implement, and extend testing pipeline, including unit tests, integration tests, numerical tests, and performance benchmarks
• Write and maintain technical documentation for SDK APIs, runtime internals, model deployment, and integration guides

What you'll need

• Strong experience in systems programming, ideally with Rust
• Solid understanding of C/C++ interoperability, ABIs, and FFI design
• Experience building or maintaining SDKs, libraries, inference runtimes, or developer-facing systems
• Familiarity with real-time systems, performance optimization, memory management, and profiling
• Experience writing tests and benchmarks for low-level or performance-critical code
• Comfortable working across multiple platforms such as Linux, macOS, Windows, and WASM
• Familiarity with ML inference runtimes or deploying neural networks in production
• Strong ownership mentality and clear written communication skills

Nice to have

• Experience with model formats or inference engines such as ONNX, Burn, tract, TensorRT, TFLite, Core ML, or similar systems
• Exposure to real-time audio constraints such as latency, jitter, buffering, streaming workloads, and deterministic processing

What they offer

• Opportunity to work at a rapidly growing Voice AI startup backed by top investors
• Competitive salary package with stock options