We are now looking for a highly motivated Full-Stack Web Applications Engineers to join this dynamic and innovative Hardware Infrastructure team! Our team is building new infrastructure to deliver highly available services to run scalable web services, development environments, repositories, databases, data streams, and data visualization frameworks. This software development team is a multifaceted Agile software team with high production quality standards, producing tools used by engineering across the company for tracking, triaging and debugging various kinds of data processing flows. We are looking for motivated engineers to build and maintain a new generation of infrastructure that will host these services.
What you'll be doing:
Working on backend and frontend design and development of web applications.
Collecting requirements and provide consultation to end users about their needs and use cases.
Analyzing performance bottlenecks.
Supporting and maintaining large scale data platform with high QoS.
Building infrastructure and microservices for various big-data scenarios.
What we need to see:
Bachelors or Masters in Computer Science or related engineering or equivalent experience.
6+ yrs experience Proven knowledge of Java Language, common Java API's and JVM.
Experience with JavaScript and Node.js
Knowledge of modern frontend frameworks like Vue.js, Ember.js
Experience with design and development of distributed microservices.
In depth understanding of database concepts and object modeling. Detailed knowledge of object oriented design, data structures and algorithms
Excellent interpersonal skills
Ways to stand out from the crowd:
Experience with SQL and at least one SQL database server.
Demonstrable knowledge of Elastic Stack (Elasticsearch, Kibana, Logstash) and Kafka.
Experience with MongoDB or other noSQL datastores.
Knowledge of Python or Golang
Flexibility/adaptability for working in a dynamic diverse environment with different frameworks and requirements.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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