AIML Software Engineer
Sunnyvale, CA - USA
Job Summary
You will work closely with Multimodal GenAI researchers and engineers to develop world-class audio-video perception and representation algorithms. The role focuses on building integrating and maintaining complex real-time systems within a large production software stack. Deep understanding of machine learning inference and performance oriented development is highly desirable. As a member of a fast-paced team you have the unique and rewarding opportunity to shape upcoming products that will delight and inspire millions of people every ideal candidate should possess these qualities:nn* Be highly-motivated and take initiative to achieve goals while delivering on schedule.n* Has a sense of curiosity and willingness to learn new things in order to improve the quality of their solutions.n* Works well in a collaborative setting.
Design and drive software architecture for both production systems and internal toolsnImplement and optimize performance-critical algorithms for mobile and embedded platformsnDeveloping and integrating agentic workflow frameworks with tool calling componentsnIntegrate multimodal models with audio image and video modalities for efficient on-device inferencenBuild tooling for visualization logging debugging and evaluationnIntegrate real-time perception 3D representation and animation systems into a broader end-to-end software stack
Bachelors degree in Computer Vision Computer Graphics Machine Learning Computer Science Computer Engineering or related fields.n5 years of relevant industry proficiency in C/C or Swift writing clean and well-structured mathematical foundation in linear algebra and numerical breaking down large problems and delivering robust developing user-facing APIs for complex about new technologies and flexibility to work across different layers of the software stack.
MS/PhD with relevant industry with audio computer vision 3D graphics and animation deploying algorithms to GPUs or other hardware of SW/HW parallelism threads processes and asynchronous or macOS development experience using frameworks like Foundation Models MLX ARKit of diffusion transformer models especially in context of on-device inference.
Required Experience:
IC
About Company
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