Software Engineer, Core Technology

3+ years of professional software engineering experience in building production ML systems, training infrastructure, or research platforms (ML Track) Proficiency in Python, additional experience with at least one other systems language (C++, C#, Java, Rust, or Go) (ML Track) Hands-on experience with PyTorch or TensorFlow in production or research environments (ML Track) Experience building or maintaining ML training pipelines or data workflows (ML Track) Familiarity with model deployment, inference optimization, or MLOps practices (ML Track) 3+ years of professional software engineering experience in building real-time software frameworks, cross-platform systems, or performance-critical applications (Framework Track) Proficiency in C++/C#, additional experience with at least one other systems language (C++, C#, Java, Rust, or Go) (Framework Track) Experience with cross-platform development (Framework Track) Proven track record with performance optimization, real-time systems, or hardware abstraction layers (Framework Track) Experience building developer APIs or software frameworks used by other engineers (Framework Track)

Design and build training pipelines, data workflows, and model integration systems Develop infrastructure that accelerates research iteration Build systems for data collection, curation, and preprocessing at scale Create tools and automation to move experiments toward production readiness Optimize data pipelines for reliability, performance, and observability Collaborate with ML researchers to understand their needs Work on model serving infrastructure and integration with the production framework Design and develop a robust, performant, cross-platform framework for sensing, detection, haptics, and ML inference Build efficient runtime execution systems and hardware abstraction layers Develop developer APIs that make complex sensing and inference accessible Optimize for real-time performance on multimodal data streams Work on camera, microphone, and haptics integration Implement code that runs reliably across different platforms and hardware configurations Improve framework stability, performance, and developer experience Write clean, well-tested code that maintains high engineering standards Participate in code reviews and help raise the engineering bar across the team Contribute to shared tools, infrastructure, and cross-role projects (20% Time) Work with the dual-leadership model to understand priorities and technical direction Document systems and decisions to support team knowledge sharing