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Job ID: JR0006436
Job Category: Engineering
Primary Location: Hillsboro, OR US
Other Locations:
Job Type: Experienced Hire

Senior Software Machine/Deep Learning Engineer

Job Description
Job Description:Intel's software engineers have the opportunity to touch the entire software ecosystem! In fact, by number of employees, we are one of the most influential software companies in the world. At Intel, you'll be at forefront of everything from enhanced usability and security, to integrated software and hardware solutions, to seamless connectivity. We're looking for more great software engineers who will help us push computing capabilities even further. And who are passionately motivated by seeing their creations used by millions of end users. Check out this cool video on YouTube: In Intel's Connected Device Software CDS group, you will work alongside a team of Intel engineers to design, implement, and optimize solutions for some of the toughest computing problems of today and tomorrow. Our engineers work on diverse technologies including Deep Learning, Computer Vision, Data Analytics, Hardware-rooted Security, Software Runtimes and Machine Learning. We partner with divisions across Intel -- e.g. Data Center Group, Client Computing Group, and Internet of Things Group -- to deliver solutions into customer hands. CDS is in need of a software engineer with experience in Machine Learning, Deep Learning, and/or Data Analytics to develop workloads, and do performance analysis of projects directed towards customer use cases. Your responsibilities will include: - Implement, test and optimize advanced analytics applications for devices and clients- Advise, educate, and evangelize new machine learning, deep learning, and data analytics technology- Collaborate with engineers from other Intel groups and divisions- Troubleshoot and debug issues that arise- Provide engineering designs for new software solutions to help solve new customer use cases- Contribute performance analysis results to improve Intel hardware architectures- Maintain technical documentation- Provide mentorship to junior engineers - Develop a familiarity with, and share, new tools and best practices


Qualifications:Candidate should have a degree in Computer Science, Computer Engineering, Electrical Engineering or related area. Minimum requirement is BS + 6 years of experience, MS + 4 years of experience, or PhD + 2 years of experience. Prefer 8+ years development experience with at least 4 years focused on Machine Learning, Deep Learning and/or Data Analytics. Other required qualifications include:- Proven work experience as a software machine/deep learning engineer- Detailed technical knowledge of techniques, standards and state-of-the art capabilities for machine learning, deep learning, and data analytics such as SVM, decision trees, Caffe, TensorFlow, and statistical data analytic methods- Software development experience in at least one of the following core languages: C, C++, Java- Interest in all aspects of machine learning, deep learning, and data analytics- Demonstrable development experience in a Linux environment- Strong leadership skills, including communication, stakeholder management, ability to delegate and lead others, and ability to work in an environment with change and ambiguity- Ability to scope and plan work needed for areas of ownership and provide clear feedback to the team on risks, issues, and help needed

Inside this Business Group

The Intel Software and Services Group (SSG) connects Intel to the worldwide software community. SSG strives to bring competitive advantage to Intel platforms by helping independent software vendors, operating system developers, OEMs, channel members and systems integrators deliver exceptional customer value and achieve differentiation on Intel® processor technologies. SSG provides global leadership to the software community through its technical expertise, industry enabling activities, and developer products and programs.

Posting Statement. Intel prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
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