Port ML models (primarily PyTorch and TensorFlow, exported to ONNX) into our C++ SDK
Translate and optimize Python-based postprocessing logic into performant C++ code
Collaborate with ML scientists to understand model behavior and ensure fidelity in deployment
Optimize inference performance for mobile and desktop platforms, considering memory, latency, and compute constraints
Maintain clean, modular C++ APIs that expose ML functionality to client applications
Write unit and integration tests to validate model outputs and SDK stability
Participate in architectural discussions and provide technical guidance to help the team make well-informed decisions regarding feature implementation
Write clean, maintainable, and well-documented code, with an emphasis on scalability and performance

Requirements

Bachelor’s degree or equivalent practical experience in Computer Science, Engineering, or a related technical field
4+ years of experience working as a software engineer, with a proven track record of working with software development kits (SDKs) and client-side applications
4+ years of experience in C++ development, with a focus on SDKs or embedded systems
2+ years of strong fundamentals in statistics
Proficiency in Python, especially for understanding and translating ML pipelines
Familiarity with mobile development constraints (iOS/Android) and cross-platform build systems
Strong debugging and performance profiling skills
Experience with AI/ML integration or development within software systems is highly preferred

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

C++PythonPyTorchTensorFlowONNXSDK developmentunit testingintegration testingperformance optimizationstatistics

collaborationtechnical guidanceclean code practicesdocumentationscalability focusproblem-solvingdebuggingperformance profiling

Bachelor’s degree in Computer ScienceBachelor’s degree in Engineering