Software Automation Engineer for Intel Artificial Intelligence Product Group

Job description

Job Description

About Us :

The Artificial Intelligence Products Group (AIPG) is developing breakthrough technologies that will lead the next evolution of compute by offering end-to-end AI solutions that broadly spans from the data center to the edge.
Our team is focusing on Deep-Learning software and hardware technologies dedicated for state-of-the-art inference techniques.

About You:

In this role you will define and develop testing features for automation framework to test a software stack of an embedded product. This automation framework support executing functional, performance, and regression tests in several testing environments.

You are expected to be fluent working with Linux, and common scripting languages such as Bash and Python. You should have the knowledge to develop a testing framework that can execute and process results of tests from the driver level and up to an SDK level.

The successful candidate is expected to be able to understand the entire environment (software stack and HW components), and be able to design and implement the framework. The candidate is expected to execute tests and debug failures.

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Inside this Business Group

Intel Nervana, leveraging Intel's world leading position in silicon innovation and proven history in creating the compute standards that power our world, is transforming Artificial Intelligence (AI). Harnessing silicon designed specifically for AI, end-to-end solutions that broadly span from the data center to the edge, and tools that enable customers to quickly deploy and scale up, Intel Nervana is inside AI and leading the next evolution of compute.

Desired profile

Qualifications

Requirements:
B.Sc. in EE/CS
3 years' experience in developing and debugging validation tests in embedded system environments
Proven experience in scripting languages such as Bash and Python
Knowledge in C/C++ coding
Hands on experience in software configuration management (SCM) tools (i.e. Gerrit)
Advantage:
Good knowledge in Linux tools and system administration activities
Experience in validation in simulated environments
Knowledge in code building mechanisms (i.e. scripts, make files)
Knowledge of deep learning environments and tools