Top Hybrid Linux Jobs
As a Senior Java Engineer at Zimperium, you will design, develop, and debug complex application components for mobile threat defense solutions. You will code maintainable software, collaborate across teams, and adapt to changing requirements while ensuring scalability, performance, and security.
As a Data Ops Engineer, you'll design and maintain data infrastructure, develop ETL pipelines, integrate machine learning models, and automate data operations. You'll collaborate with cross-functional teams to optimize data capabilities, monitor systems for reliability, and document processes while driving innovation in data strategies.
As a Senior Software Engineer at Mashgin, you will develop innovative computer vision algorithms using C/C++ and Python. You'll focus on large-scale data techniques for training deep neural networks, improve existing algorithms, and maintain state-of-the-art machine learning techniques for image analysis.
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As a Full Stack Software Engineer, you will be responsible for deploying and maintaining a microservice architecture to multiple cloud providers, working with cloud services, debugging problems in Kubernetes/Docker, and debugging code across multiple languages and technologies.
The role involves designing and implementing optimized communication libraries for Deep Learning systems, collaborating with hardware and software teams to ensure data synchronization across AI accelerators, and optimizing algorithms for distributed computing applications.
Join Box, the world's leading Content Cloud, as a Senior Software Engineer focusing on Cloud Native technologies. Design and implement components and services in a Kubernetes-based platform, collaborate with developers, automate workflows, and enhance security and performance of Box's PaaS.
Aquabyte is seeking an Embedded Software Engineer to work on the hardware and software orchestrating the hardware installed at fish farms. Responsibilities include interfacing with sensors, cameras, and networks to create robust underwater systems, designing network systems at farms, deploying software on devices, and collaborating with the machine learning team to move algorithms to the edge.
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