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Develop low-level firmware for Pixel mobile SoCs and PMICs to optimize power efficiency and battery life, ensuring hardware stability and smooth integration.
Build and maintain UpCloud’s high-performance cloud infrastructure, automate deployments with Kubernetes and IaC, and ensure reliability and scalability of distributed systems.
Build and maintain Google Cloud’s Security SOAR platform, designing Kubernetes and GCP infrastructure to automate and scale security operations at Google’s scale.
Builds and shapes Google Kubernetes Engine’s storage layer for AI/ML workloads, designing scalable solutions for training, inference, and agentic workflows while driving upstream Kubernetes standards.
Build and lead the Android Google Dialer’s AI-driven calling platform, designing secure, personalized call experiences for over a billion users using Kotlin and on-device AI.
Build and deploy ML models to optimize Databricks’ distributed infrastructure, improving performance and cost efficiency for serverless compute products.
Principal Storage and Data Protection Administrator safeguards classified systems by managing enterprise storage, backup tools (Veeam, NetBackup), and recovery processes for aerospace/defense programs in St. Petersburg, FL.
Designs and maintains the company’s data platform using Databricks, collaborating with architects to integrate systems and models while optimizing pipelines for performance and scalability.
Builds and optimizes custom software solutions using Microsoft Azure Databricks and cloud data pipelines, focusing on scalable analytics and distributed computing.
Build and optimize scalable data pipelines and governed lakehouse platforms using Databricks, Spark, and AWS to support analytics and AI in a regulated biotech environment.
Build and maintain scalable data pipelines and cloud-native data infrastructure on AWS, using Python, Spark, and SQL to process large datasets for analytics.
Be the one building AI-powered experiences where they matter most. At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people,…
Lead architecture and optimization of high-performance CT image reconstruction pipelines using C++/CUDA, parallel computing, and AI/ML for next-gen medical imaging products.
Build and deploy AI/ML models for healthcare claims processing using PyTorch/TensorFlow, MLOps pipelines, and cloud tools to reduce payment inaccuracies and waste.
Design and deliver scalable technology architecture for platforms or products, focusing on performance and edge computing solutions while aligning with business goals.
Design and maintain data pipelines, ETL processes, and scalable architectures to ensure high-quality data processing and migration across systems.
Build and optimize scalable data pipelines using PySpark to deliver custom software solutions for enterprise clients.
Build and optimize custom software solutions using modern frameworks and agile practices, focusing on scalable data engineering and pipeline development.
Designs and deploys advanced ML models to extract insights from large property datasets, using Python, PyTorch, and cloud platforms to power real-estate intelligence.
Build and deploy generative AI systems for RBC Capital Markets sales teams, including agentic frameworks, RAG pipelines, and conversational AI to automate client insights and deal workflows.
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