Job-uri similare care te-ar putea interesa: |
|
---|---|
NXP - Software Internship – Automotive Security Firmware Aplica fara CV | |
Tableau Developer (Trainee) - Internship - BRD Aplica fara CV | |
Controller Key User – Controlling Aplica fara CV | |
Vezi job-uri similare (277) |
Internship System developer – Oracle Labs
This job is no longer active!View all jobs Oracle activeView all jobs Internship System developer – Oracle Labs active on Hipo.roView all jobs Internet - eCommerce active on Hipo.roView all jobs IT Hardware active on Hipo.roView all jobs IT Software active on Hipo.ro |
Employer: | Oracle |
Domain: |
|
Job type: | temporary |
Job level: | Student/Graduate |
Location: |
|
Updated at: | 23.11.2021 |
Remote work: | On-site |
Short company description
Oracle, a global provider of enterprise cloud computing, empowers businesses of all sizes on their digital transformation journey. With 430,000 customers in 175 countries, Oracle provides leading-edge capabilities in Software as a Service, Platform as a Service, Infrastructure as a Service, and Data as a Service.
Our mission is to transform our world for the better through innovative technologies.
Requirements
Requirements:
Thorough understanding of computer science fundamentals including data structures, algorithms and complexity analysis.
Basic understanding of parallel, concurrent, and distributed programming (having completed relevant courses, such as Distributed / Concurrent Algorithms, is a plus).
Excellent problem-solving and analytical skills.
Excellent C/C++ programming.
Good notions of database architecture, experience with distributed systems and knowledge of compilers are a plus.
Experience with Python data libraries (numpy, Pandas, scikit-learn) is a plus.
Responsibilities
Oracle Labs proposes various internship positions on projects aimed at developing groundbreaking technologies.
Oracle Labs
Oracle Labs is the advanced research and development arm of Oracle. We focus on the development of technologies that keep Oracle at the forefront of the computer industry. Oracle Labs researchers look for novel approaches and methodologies, often taking on projects with high risk or uncertainty, or that are difficult to tackle within a product-development organization. Oracle Labs’ research is focused on real-world outcomes: our researchers aim to develop technologies that will someday play a significant role in the evolution of technology and society.
One example of successful technology developed at Oracle Labs is the PGX project. PGX is a toolkit for graph analytics that supports graph algorithms, such as PageRank, graph queries with PGQL (an SQL-like graph query language), and graph machine learning. It includes both a single-machine in-memory engine and a distributed engine for extremely large graphs, and is already available as an option in Oracle products.
Oracle Database Multilingual Engine (MLE) is another example. MLE enables developers to work efficiently with DB-resident data in modern programming languages and development environments of their choice. MLE embeds GraalVM into the Oracle Database, focusing on tight integration of (PL/)SQL and guest languages such as JavaScript. MLE uses GraalVM's Truffle interface and speculative optimizations for efficient conversions between database and guest language data types, and leverages the GraalVM Native Image feature for embedding.
Internships
Oracle Labs technology is now leveraged to boost the performance and functionality of various Oracle products and applications including the Oracle Autonomous Database. Our internship topics include, but are not limited to:
· Leverage latest AI and ML techniques to improve the performance of Oracle Autonomous Database.
· Add or improve capabilities of the Oracle Autonomous Database such as: large scale graph processing support, execution of microservice logic closer to the data, etc
· Leverage code generation approaches and domain-specific languages to accelerate data-intensive workloads from graph, relational and machine-learning domains.
· Explore how scalable graph machine learning algorithms can be implemented and used in various ML driven applications.
· Implement new features, enhance existing functionality, measure and improve performance of various web-based data science platforms and graph applications.
Position details and contact information:
Suitable for an internship of three to twelve months with the possibility of a permanent contract extension.
Very competitive salary
Full work at home basis, work from any location in Romania.
Raporteaza eroarea la