Job Details:Job Description: The Analyzer Engineering team within the Intel takes care of Analyzers product group. The group is looking for a college graduate/Post graduates to join in the validation of software tools to collect and analyze platform performance data from the latest Intel CPU, GPU, NPU silicon.
Key aspects of this job include:
� Be part of a team that is actively engaged with internal teams responsible for powering-on new platforms and optimizing platform firmware and drivers prior to product launch
� Understanding the CPU/GPU architecture and Analyzer/VTune product implementation to increase feature test coverage.
� Help in Validating features of platform performance and power analysis tools that are key to latest platforms running both Windows and Linux-based operating systems
� Hands-on work with pre-production development systems and participate in a variety of Designing testcases, developing test framework, automating testcases, release infrastructure, and feature/code coverage.
� Participate in a diverse, Agile team of developers and validation Engineers following standard Scrum planning processes
Qualifications:You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your school-work/classes/research and/or relevant previous job and/or internship experiences. This is an entry level position and would be compensated accordingly. Minimum Qualifications:
� 3+ years of industry experience in validation, devops and automation.
� Bachelor's/Master's degree in Computer Science Engineering or Electronics and Communication Engineering or related technical discipline.
� Relevant coursework/experience in computer architecture, software engineering, CPU/GPU Architecture, Kernel, Kernel-subsystems and operating systems concepts. � Good hands-on coding experience in C/C++, Python and embedded programming/debugging to start immediately. � Experience with software development on either of Windows and Linux platforms, particularly in Firmware, kernel, Kernel-Subsystems and device drivers.
� Hands on experience with groovy, Jenkins, docker and CI/CD environment. Preferred Qualifications:
� Familiarity with CPU/GPU architecture
� Hands on coding with Python is a plus.
� Familiarity with x86 Model Specific Registers, Memory Mapped I/O, and PCI Express would be an added advantage
� Experience with development of software analysis tools would be an added advantage
� Interest in low-level hardware monitoring registers and software that can build metrics from them for analysis purposes
� Any project done on system side during college and internship will be a plus.Job Type:Experienced HireShift:Shift 1 (India)Primary Location: India, HyderabadAdditional Locations:Business group:Enable amazing computing experiences with Intel Software continues to shape the way people think about computing – across CPU, GPU, and FPGA architectures. Get your hands on new technology and collaborate with some of the smartest people in the business. Our developers and software engineers work in all software layers, across multiple operating systems and platforms to enable cutting-edge solutions. Ready to solve some of the most complex software challenges? Explore an impactful and innovative career in Software.Posting Statement:All 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.Position of TrustN/A
Work Model for this Role
This 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.
