Software Enabling and Optimization Architect

Intel Corporation; Austin (TX); Hybrid; USD 150,000 - 285,000; Full time

Benefits offered by this job

Stock bonuses

Health insurance

Retirement plan

Vacation

Job summary

Intel Corporation's Datacenter business group focuses on leadership data center products and AI strategy, including Aurora at Argonne National Laboratory. The role involves debugging and optimizing scientific applications on Intel CPUs/GPUs and leveraging ML to support AI-assisted workflows.

The candidate should have strong architecture knowledge, be able to communicate across diverse teams, and may travel up to 5 percent.

Qualifications

• Minimum qualifications include a computer science/engineering degree and 6+ years with a bachelor’s, 4+ with a master’s, or 2+ with a PhD.
• Proficiency in Python or C++ and experience with OpenMP or MPI for parallel programming.
• Strong communication skills and a track record in software architecture and debugging.

Responsibilities

• Provide hands-on debugging and optimization of scientific applications on Intel CPUs and GPUs.
• Maintain knowledge of ML to help develop AI-assisted scientific workflows.
• Evaluate ecosystem technology designs and readiness; convey architectural intent across teams.
• Travel may be required (up to 5 percent).

Skills

Python

C++

OpenMP

MPI

Software architecture

Communication skills

Machine learning knowledge

Education

Bachelor’s degree in Computer Science/Engineering or related field

Master’s degree

PhD

Job description

Job Details:

Job Description:

Come and join the winning team at Intel. The Datacenter business group focuses on developing leadership data center products as well as helping drive the company’s overall artificial intelligence (AI) strategy. This group leads the effort to maintain optimized user applications on the Aurora supercomputer located at Argonne National Laboratory. Aurora represents an Exascale Class computer aimed at driving unprecedented innovation and scientific breakthroughs.

Responsibilities include but are not limited to:

• Providing hands-on assistance debugging and optimizing scientific applications on Intel CPUs and GPUs.
• Maintaining sufficient knowledge of ML to help develop AI assisted scientific workflows.
• Possessing working knowledge of OpenMP, MPI, and architectural details of Intel CPUs and GPUs.

The successful candidate will have:

• A good understanding of open-source community software and related ecosystems.
• Ability to evaluate ecosystem technology designs and readiness is also required.
• Strong communication skills, with the ability to convey architectural intent and technical requirements across diverse teams.

This role periodically calls for :

• Making high-level design choices for software structure, frameworks, protocols, and algorithms.
• Determining coding practices, development tools, and validation requirements is therefore part and parcel of this unique opportunity.
• Experience interacting with senior technologists across Intel and within the industry, and with developers and project managers to evaluate feasibility of requirements, is a key part of the skill set required.
• Travel may be required but less than 5 percent.

Qualifications:

The Minimum qualifications are required to be initially considered for this position. Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / or schoolwork/classes/research. The preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications

• Bachelor’s degree in Computer Science/Engineering, Computational Science, Math, Physics, or a related field.
  • 6+ years of experience with a Bachelor’s degree
  • 4+ years with a Master’s degree,
  • 2+ years with a PhD in software architecture, modeling, debugging, or prototyping.
• 3 + years of experience in computer architecture and familiarity with power and performance software optimization techniques.
• Experience in at least one programming language, such as Python or C++.
• Experience with parallel programming models, frameworks, or tools such as OpenMP or MPI.

Preferred Qualifications

• Post graduate degree in in Computer Science/Engineering, Computational Science, Math, Physics, or a related field.
• Experience in designing scalable, high-performance software solutions.
• Experience in customer engagement, consulting, and problem solving to deliver measurable results.

Bring your passion for innovation and technical excellence to Intel and apply now to shape the future of technology.

Job Type:

Experienced Hire

Shift:

Shift 1 (United States of America)

Primary Location:

US, Texas, Austin

Additional Locations:

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, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $149,600.00-284,580.00 USD

The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

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

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.