puestos de It Software Engineer en United States

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Job Description

Intel Flex is an Embedded Consulting Unit that works across different business units, functional groups and product teams to deliver high-impact results to Intel; through software engineering services, solution development, organization transformation, project/program management and outsourcing management.

Our mission is to make it easier to move faster on the things that matter most to Intel.

In Intel Flex, you will have the opportunity to move between projects in various product groups to gain experience, learn new skills and grow your cross-organization professional network while making high-value contributions across the company.

Our management team will work with you to prioritize projects that align with your skills and areas of growing interest.

The responsibilities of the AI Software Development Engineer include but are not limited to:

1. Design, develop, integrate, test, validate, and/or debug software to enable Intel product features to enable or utilize Artificial Intelligence, including machine learning and deep learning.
2. Understand internal and external partner software and develop software across the stack (spanning firmware, drivers, OS, middleware, frameworks, algorithms, and applications) as required to enable and optimize specific AI features, capabilities, solutions, reference platforms, or Intel products.
3. May include the development of reference AI software and improving or enabling customer designs to obtain the greatest value of Intel AI products, the development and/or optimization of workloads for AI benchmarks, and workloads for simulation to support preSi power and performance analysis and architecture recommendations.

Qualifications

Bachelor's Degree in Computer Science, Computer Engineering, Electronics Electrical Engineering or Software Engineering or related technical field. Master's or Ph.D. preferred.

Minimum of 7 years of AI software development experience.

Proficiency in one of the popular programming languages, like Python, C/C++, Golang.

Hands-on experience with AI frameworks and libraries such as TensorFlow, PyTorch, Keras, etc.

Understanding of NPU/GPU hardware and performance optimization.

Proficiency in guiding and mentoring others in AI technical leadership.

Good project management and stakeholder management skills.

Familiarity with software development best practices, version control systems (e.g. Git), and agile methodologies.

Preferred Qualifications:

Knowledge of OpenVINO for AI model optimization.

Knowledge of Large Language Models (LLM) and Retrieval-Augmented Generation (RAG).

Familiarity with OpenCL/SYCL/OneAPI for parallel computing.

Skilled in feature engineering and deep learning training.

Familiar with DLStreamer/GStreamer for real-time data processing.

Inside this Business Group

Intel's Information Technology Group (IT) designs, deploys and supports the information technology architecture and hardware/software applications for Intel. This includes the LAN, WAN, telephony, data centers, client PCs, backup and restore, and enterprise applications. IT is also responsible for e-Commerce development, data hosting and delivery of Web content and services.

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.

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. (https://jobs.intel.com/en/benefits)

Working Model

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. * Job posting details (such as work model, location or time type) are subject to change.