AI Software Development Engineer

ROU - Timisoara

Intel

Intels Innovation in den Bereichen Cloud-Computing, Rechenzentren, Internet der Dinge und PC-Lösungen macht die intelligente und vernetzte digitale Welt von heute möglich.

View company page

Job Details:

Job Description: 

Designs, develops, integrates, tests, validates, and/or debugs software to enable Intel product features to enable or utilize Artificial Intelligence, including machine learning and deep learning. Understands internal and external partner software and develops 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. 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:

Minimum qualifications are required 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. Minimum Qualifications: - Driving design for a compilation flow that will scale to future Neural Network architectures and target platforms. - Implementing compilation passes for enabling and optimizing Neural Networks workloads. - Development of performance analysis, visualization, and profiling tools. - Integrating and testing changes, owning the tasks execution end-to-end. - Contributing into compilation features roadmap planning. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

          

Job Type:

College Grad

Shift:

Shift 1 (Romania)

Primary Location: 

Romania, Timisoara

Additional Locations:

Business group:

The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth.

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 Trust

N/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.
Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture Deep Learning Machine Learning Research Testing

Region: Europe
Country: Romania
Job stats:  17  2  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.