ML Inference Engine & Runtime Development

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• Design, implement, and optimize systems-level components of the ai-coustics SDK and inference runtime
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• Improve the performance, memory usage, and stability of the Airten real-time inference engine
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• Work on model execution, tensor operations, scheduling, streaming inference, and runtime abstractions
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• Support deployment of neural audio models across CPU, WASM, and other constrained runtime environments
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• Explore and integrate ideas from modern inference engines and ML runtimes such as Burn, ONNX Runtime, tract, TensorRT, or similar systems
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• Help bridge the gap between research models and production-ready, low-latency inference
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Audio, DSP & Real-Time ML Systems

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• Develop and maintain DSP modules and supporting audio-processing infrastructure
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• Optimize streaming workloads under strict latency, jitter, and memory constraints
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• Build tooling to validate numerical correctness, real-time behavior, and model quality across platforms
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• Collaborate with ML researchers to make models easier to export, test, benchmark, and deploy
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• Contribute to model conversion and deployment workflows, including formats such as ONNX, internal model formats, or Rust-native representations
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Language Bindings & Platform Support

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• Maintain and expand our C API and public C library generated from our internal Rust codebase
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• Improve and support SDK wrappers and bindings for C++, Python, and Rust via the public C API
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• Maintain WASM and Node.js SDKs built directly from the internal Rust source
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• Ensure consistent behavior, performance, and API guarantees across Linux, macOS, Windows, WASM, and embedded-adjacent environments
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Testing, Reliability & Tooling

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• Design, implement, and extend our testing pipeline, including unit tests, integration tests, numerical tests, and performance benchmarks
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• Build tooling to validate real-time constraints, memory usage, model outputs, and cross-language consistency
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• Improve CI workflows to ensure safe and fast iteration on a closed-source core with public-facing SDKs
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• Create benchmarks and profiling workflows that help us understand runtime bottlenecks and performance regressions
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• Improve observability and diagnostics for SDK integrations in customer environments
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Documentation & Developer Experience

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• Write and maintain technical documentation for SDK APIs, runtime internals, model deployment, and integration guides
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• Collaborate with product and developer-facing teams to improve onboarding and usability
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• Support internal teams and external developers by diagnosing SDK and inference issues and proposing robust fixes
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• Contribute to API design with a focus on ergonomics, safety, portability, and long-term maintainability
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Requirements

Technical Skills

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• Strong experience in systems programming, ideally with Rust
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• Solid understanding of C/C++ interoperability, ABIs, and FFI design
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• Experience building or maintaining SDKs, libraries, inference runtimes, or developer-facing systems
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• Familiarity with real-time systems, performance optimization, memory management, and profiling
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• Experience writing tests and benchmarks for low-level or performance-critical code
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• Comfortable working across multiple platforms such as Linux, macOS, Windows, and WASM
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• Ability to reason about API design, unsafe boundaries, ownership, error handling, and long-term maintainability
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ML Inference & Audio Systems

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• Familiarity with ML inference runtimes or deploying neural networks in production
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• Experience with model formats or inference engines such as ONNX, Burn, tract, TensorRT, TFLite, Core ML, or similar systems
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• Understanding of how neural networks are represented, executed, optimized, and benchmarked
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• Exposure to real-time audio constraints such as latency, jitter, buffering, streaming workloads, and deterministic processing
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• Interest in making ML models portable, efficient, and reliable outside of Python research environments
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Mindset & Collaboration

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• Strong ownership mentality and attention to detail
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• Comfortable working in a closed-source core with open SDK surfaces
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• Ability to reason about trade-offs between performance, safety, portability, and developer experience
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• Clear written communication skills for documentation and technical design discussions
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• Enjoys working in a fast-moving startup environment with real-world production impact
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• Excited about building infrastructure that helps Voice AI systems work reliably in messy, real-world audio conditions
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Benefits

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• Opportunity to work at a rapidly growing Voice AI startup, backed by top investors.
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• Compensation and equity: Competitive salary package, additional benefits and stock options, enabling you to take part in the company’s success.
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• Startup Culture: Dynamic, fast-paced environment with passionate and collaborative colleagues.
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• High Impact: Groundbreaking startup at a pivotal growth stage, making a real difference in how people experience audio.
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• Ownership & Autonomy: Take full ownership of projects and ship fast.
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• Work With the Best: World-class team of engineers and builders with ample room for professional growth.
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• Contribute to the Future: Define the landscape of Voice AI technology.