Software Enabling and Optimization Architect

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

Benefits offered by this job

Hybrid work model

Total compensation package

Job summary

Intel invites experienced professionals to join its Datacenter group, shaping leadership data center products and AI strategy. The role focuses on debugging and optimizing scientific applications on Intel CPUs/GPUs, leveraging ML for AI-assisted workflows, and deep knowledge of OpenMP, MPI, and CPU/GPU architectures.

Ideal candidates have strong communication skills, can convey architectural intent across teams, and bring multi-disciplinary experience in software architecture and

Qualifications

• Bachelor's degree in Computer Science/Engineering, Computational Science, Math, or Physics.
• Experience path: 6+ years with a BA, 4+ with an MS, or 2+ with a PhD in related areas.
• Experience in computer architecture and power/performance software optimization techniques.
• Experience with Python or C++.
• Experience with parallel programming models, frameworks, or tools such as OpenMP or MPI.

Responsibilities

• Provide hands-on debugging and optimization of scientific applications on Intel CPUs and GPUs.
• Maintain ML knowledge to develop AI-assisted workflows.
• Understand OpenMP, MPI, and architectural details of Intel CPUs/GPUs.

Skills

Strong communication skills

Cross-functional collaboration

Education

Bachelor's degree in Computer Science/Engineering, Computational Science, Math, Physics, or related field

6+ years with a Bachelor's degree; 4+ years with a Master's; 2+ years with a PhD in software architecture, modeling, debugging, or prototyping

Tools

Python

C++

OpenMP

MPI

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 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.

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.