The role involves leading the architectural design and optimization of ML algorithm execution platforms for edge-to-cloud deployment. You will also drive cross-platform compatibility decisions, mentor the team, and manage CI/CD pipelines with automated hardware testing.
Team Summary
Our team consists of four software engineers and one development manager. Our main team specialization is AI/ML algorithm deployment on various embedded devices. With a focus on quality and flexibility, our team builds long-term on-device and host solutions including business logic, algorithms, and infrastructure related to ML pipelines.
Job Summary
We are seeking an experienced Software Engineer with deep expertise in IoT ecosystems and machine learning infrastructure. This role will lead the architectural design and strategic evolution of our ML algorithm execution platform in host environments, driving innovation across two critical domains: optimizing existing distributed systems and pioneering next-generation capabilities.
Responsibilities and Duties:
Profile models and bring up new hardware.
Convert models, and measure their performance.
Drive cross-platform compatibility decisions and mentor team on embedded systems ML Infrastructure Leadership Design and optimize distributed ML inference systems for edge-to-cloud deployment.
Lead performance engineering for throughput/latency optimization across heterogeneous hardware Own resource management strategies for memory-constrained embedded environments.
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