Develop and operate large scale, low latency, and high throughput systems. Evaluate AI technologies (such as LLMs, SLMs, embeddings) and architectures (such as orchestration patterns, RAG, etc) when developing solutions targeting firmware/hardware improvement. Specify or implement AI platform improvements like fine-tuning or training custom ML models. Drive the continuous improvement process based on Root Cause Analysis (RCA) and identified opportunities. Contributes to data analysis and feedback integration for product engineering decisions, acting as a Designated Responsible Individual (DRI) for monitoring and restoring system functionality within Service Level Agreement (SLA) timeframe. Participates in live service operations, and supports telemetry data integration for system behavior insights, with a focus on performance, reliability, and safety. Supports the identification of dependencies and design documentation for product features, learns about system interactions and back-end dependencies, and contributes to architectural processes under guidance. Produces code to test hypotheses for technical solutions and assist with technical validation efforts. Collaborates on quality assurance plans, augments test cases, and integrates automation into testing, while understanding the implications of security and compliance in system architecture. Ensures compliance with security, privacy, safety, and accessibility standards, leverages developer tools for code creation and debugging, contributes to automation in production and deployment, and proactively seeks knowledge to improve product availability, reliability, efficiency, and performance at scale. Define and measure the success/impact of requested analytics & reporting features via quantitative measures. Doctorate in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 1+ year(s) technical engineering experience OR Master's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 4+ years technical engineering experience OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 5+ years technical engineering experience OR equivalent experience. Background or experience in firmware development, testing strategies, and requirement definitions. Experience in working with the modern server architectures - includes understanding of GPU, GPU system hardware, Memory or CPU and methods for failure analysis, debugging or validation Experience with data center hardware/software projects, from concept through deployment. Over 7+ years of experience in software development using one or more programming languages such as C, C++, C#, Python, etc.
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