As a Gaussian Software & Platform Engineer, you will be responsible for leading the architecture, design, development and launch of some of the core software products. You will be working with other passionate and talented Software Engineers and Applied Scientists and have opportunities to learn various machine learning algorithms and gain insights around AI. You will have significant influence on our overall strategy by helping define these product features, drive the system architecture, and spearhead the best practices that enable a quality product. You are the ideal candidate if you are passionate about new opportunities and have a demonstrated track record of success in delivering new features and products. A commitment to team work and strong communication skills to both business and technical partners are important requirements. Creating reliable, scalable, and high performance products requires exceptional technical expertise, a sound understanding of the fundamentals of computer science, and practical experience building large-scale systems.
Responsibilities
Design, develop and deploy a secure, reliable, robust, and scalable software platform for Machine Learning services in high availability and low latency.
Work with applied scientists to collaborate on leveraging algorithm components to build the solution and product.
Optimize Machine Learning software components to exploit modern parallel architectures such as distributed clusters, multicore SMPs and GPUs.
Take responsibility for end-to-end development with high standard on software design, coding, code reviews, tests and automation of deployment within CI/CD disciplines.
Work closely with project/program managers to understand the customers’ needs and their business problems.
Key Qualifications
BS/MS/PhD degree in Computer Science and Engineering or strong industry experience in software development.
Industry experience in software development or platform engineering.
Experience in developing software with high scalability, performance, and reliability.
Experience in software development with expertise in some of data structures, algorithms, object-oriented software design, OS & computer architecture, networks, databases, etc.
Experience with at least one modern programming language such as Python, Java, JavaScript, and C/C++.
Preferred Qualifications
Experiences in Hadoop, Spark, Kafka, Redis, Cassandra, Kubernetes, Kubeflow, or container technologies.
Experiences in developing cloud platform, server platform, or data platform.
Development experience in a cloud service environment such as Amazon AWS, MS Azure, and Google Cloud Platform
