Job Details:

Job Description: 

Develops and/or validates software that enables Intel GPUs. Scope can span the entire stack, from firmware and device drivers through APIs and the application layer, and may also include the tools, infrastructure, and technologies necessary to develop, profile, optimize, and productize Intel GPUs or graphics/GPGPU software solutions.

We are seeking a highly skilled End-to-end AI/ML Engineer with strong expertise in Python and AI/ML for automation, debug, and optimization. The ideal candidate will possess the ability to quickly learn and adapt to new technologies. This role requires excellent communication and written abilities, as well as the capability to thrive in a fast-paced environment. Additionally, the candidate should have a good understanding of both Windows and Linux operating systems, experience with SQL and PowerBI, and familiarity with PowerShell and Bash scripting. 

As a GPU Software Development Engineer your responsibilities will include but are not limited to: 

• Establish AI/ML Automation CI/CD, report functional/performance status to respective stakeholders

• Debug, triage, and optimize AI/ML workloads

• Work with cross-functional teams to enable bleeding-edge foundational AI/ML workloads

 Behavioral traits that we are looking for: 

• Excellent problem-solving skills and attention to detail.

• Strong communication and written abilities.

• Ability to work effectively in a fast-paced environment.

• Strong collaboration skills and ability to work in a team-oriented environment.

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.

Minimum Qualifications

• Master's degree in computer science, Engineering, or a related field OR

• Bachelor's degree in computer science, Engineering, or a related field with 1 plus year of relevant experience

Preferred Qualifications

• Experience in Python development and AI/ML libraries (e.g., TensorFlow, Pytorch, DirectML) and foundational models

• Proven track record of working on AI/ML projects.

• Familiarity with Open VINO/one API/SYCL/Pytorch/CUDA/TensorRT

• Familiarity with optimizing/debugging AI/ML workloads.

• Experience with CI/CD tools and practices.

• Experience with automation frameworks and validation processes.

• Understanding of both Windows and Linux operating systems.

• Experience with SQL and PowerBI.

• Familiarity with PowerShell and Bash scripting.

• Experience with version control systems (e.g., Git).

Requirements would be obtained through a combination of prior education level classes, and current level school classes, projects, research, and relevant previous job and/or internship experience.

          

Job Type:

College Grad

Shift:

Shift 1 (United States of America)

Primary Location: 

US, California, Folsom

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 v