Job Details:

Job Description: 

Do you have a passion for developing high-quality software? Do you strive to extract every bit of performance from your code? Do you enjoy thinking outside the box to challenge existing solutions? Intel Labs is seeking a motivated AI research engineer in the area of cutting-edge AI systems. This is a part-time contract employee position with the Brain-Inspired Computing Lab (BCL). BCL is creating the next generation of AI systems, pushing the boundaries of research and technology in terms of scale, performance, and capabilities to positively impact society. You have the opportunity to join our world-class international team of researchers and engineers, working together to unleash and democratize the power of AI at scale. At BCL, we develop new models, algorithms, frameworks, and systems that go beyond today's deep learning and make new computing possible. We research, experiment, prototype, and implement ideas, spanning software, hardware, and their co-design, that have a transformative impact on Intel and its customers across a wide range of AI applications. We work in close collaboration with leading academic, government and industry partners to accomplish our mission.

We have:

• The most difficult technical challenges with immediate real-world impact
• A team of experts with diverse backgrounds
• A collaborative and open-minded environment
   

In this position, you will be responsible for building new SW and HW systems to realize machine learning and artificial intelligence research. You will work in close collaboration with BCL research scientists and other Intel teams to maximize the value of new Intel architectures and technological

advancements.

You will:

• Lead the charge on software engineering for our AI systems.
• Write production-ready code, optimized for existing and upcoming Intel architectures, stemming from AI research prototypes.
• Write code for proof-of-concept experiments and prototypes.
• Experiment with the latest AI models and algorithms.

We expect you to bring experienced software engineering, along with a solid understanding of state-of-the-art parallel and distributed computing, computer architecture, and algorithm optimization and benchmarking. Familiarity with techniques in machine learning, deep learning, and/or

reinforcement learning is appreciated. You must also possess strong verbal and written communication skills and a demonstrated ability to work in a demanding team-oriented collaborative environment. You are expected to maintain substantial knowledge of state-of-the-art principles, theories, and

practices, as well as contribute regularly to open-source projects and the research community at-large. You may also participate in the development of intellectual property.

This position is not open for intel immigration sponsorship.

Qualifications:

You must possess the below requirements to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your schoolwork and/or classes and/or research and/or relevant previous job and/or internship experiences.

Minimum Qualifications:

• The candidate must possess a Master degree or PhD degree in Computer Science, Electrical/Computer Engineering, or a relevant engineering discipline.
• 2+ years of experience in software optimization for AI
• 3+ years of software engineering experience, with strong skills in scripting (e.g., Python) and high-performance programming (e.g., C++)
• 3+ years of experience in computer architecture

Preferred Qualifications:

• Experience in distributed and parallel programming.
• Experience coding in alternatives architectures (e.g., GPUs, FPGAs)
• Publications in conferences and journals in the fields of systems research, computer architecture, hardware and emerging technologies, and AI software optimization

Job Type:

Intel Contract Employee

Shift:

Shift 1 (United States of America)

Primary Location: 

Virtual US

Additional Locations:

Business group:

Intel Labs is the company's world-class, industry leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.

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

Benefits:

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://www.intel.com/content/www/us/en/jobs/benefits.html

Annual Salary Range for jobs which could be performed in

US, Colorado, New York, Washington, Washington DC, California:$52,000.00-$200,000.00

Salary range dependent on a number of factors including location and experience.

Work Model for this Role

This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. This role may also be available as 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.The application window for this job posting is expected to end by 09/20/2024