Job DescriptionBy joining Intel Data Analytics Software group you will be part of a highly talented software team that focuses on making big data and analytics software greater on Intel hardware platforms as well as bringing values to our customers. You will have the opportunities to work on various big data and analytics software projects in the ecosystem from Hadoop to Spark from storage scheduling to execution engines and upper layer SQL Streaming Machine Learning libraries from hardware acceleration technologies to new features that address customers needs. You will have the opportunity to run Spark on a very large scale with thousands of nodes and solve challenges in scalability and performance. You will work with an international team interact with customer and deal with the cutting edge technologies in your daily job. Your responsibilities include work with hardware and software architects to design prototype and implement software features and improvements for hardware workloads; benchmarking and performance analyzing to identify issues opportunities and validate performance improvements; work with open source communities to get Intel desired features and optimizations accepted by open source; pathfinding on new opportunities and new software technologies; other duties as assigned by management.QualificationsN/AInside this Business GroupThe Machine Learning Performance (MLP) division is at the leading edge of the AI revolution at Intel, covering the full stack from applied ML to ML / DL and data analytics frameworks, to Intel oneAPI AI libraries, and CPU/GPU HW/SW co-design for AI acceleration. It is an organization with a strong technical atmosphere, innovation, friendly team-work spirit, and engineers with diverse backgrounds. The Deep Learning Frameworks and Libraries (DLFL) department is responsible for optimizing leading DL frameworks on Intel platforms. We also develop the popular oneAPI Deep Neural Network Library (oneDNN), and new oneDNN Graph library. Our goal is to lead in Deep Learning performance for both the CPU and GPU. We work closely with other Intel business units and industrial partners. Posting StatementAll qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.BenefitsWe offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, and benefit programs. Find more information about our Amazing Benefits here: https://www.intel.com/content/www/us/en/jobs/benefits.htmlWorking ModelThis role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.