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AI Performance Architect

AT Applied Materials
Applied Materials

AI Performance Architect

Bangalore, India

Who We Are

Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips - the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world - like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of science and engineering to make possible the next generations of technology, join us to Make Possible® a Better Future.

At Applied, we prioritize your well-being and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go.

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Applied Materials' Applied AI Systems Solutions (System to Materials) Business Unit is searching for a Software Engineer - AI Performance Architect to join our team! The Applied AI System to Materials team works on architecting differentiated AI Systems leveraging Applied's fundamental innovations.

  • Write the details of role here:
    • Benchmark AI workloads (LLMs) in single and multi-node High Performance GPU configurations.
    • Project and Analyze systems performance for LLMs using various parallelization techniques.
    • Develop methodologies to measure key performance metrics and understand bottlenecks to improve efficiency.

Requirements

  • Understanding of transformer-based model architectures and basic GEMM operations.
  • Strong programming skills in Python, C/C++.
  • Proficiency in systems (CPU, GPU, Memory, or Network) architecture analysis and performance modelling.
  • Experience with parallel computing architectures, interconnect fabrics and AI workloads (Finetuning/Inference).
  • Experience with DL Frameworks (Pytorch, Tensorflow), Profiling tools (Nsight Systems, Nsight Compute, Rocprof), Containerized Environment (Docker)

Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disabilities.

Qualifications

Education:

Bachelor's Degree

Skills

Certifications:

Languages:

Years of Experience:

7 - 10 Years

Work Experience:

Additional Information

Shift:

Day (India)

Travel:

Not Specified

Relocation Eligible:

Yes

Referral Payment Plan:

Employee Referral (Standard)

Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

Client-provided location(s): Bengaluru, Karnataka, India
Job ID: Applied_Materials-R2511080
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA With Employer Contribution
    • HSA With Employer Contribution
    • Health Reimbursement Account
    • FSA
    • HSA
    • On-Site Gym
    • Pet Insurance
    • Mental Health Benefits
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Fertility Benefits
    • Adoption Leave
    • Non-Birth Parent or Paternity Leave
    • Adoption Assistance Program
    • Family Support Resources
    • On-site/Nearby Childcare
  • Work Flexibility

    • Flexible Work Hours
    • Work-From-Home Stipend
  • Office Life and Perks

    • On-Site Cafeteria
    • Commuter Benefits Program
    • Casual Dress
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Unlimited Paid Time Off
    • Leave of Absence
  • Financial and Retirement

    • 401(K) With Company Matching
    • Stock Purchase Program
    • 401(K)
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Tuition Reimbursement
    • Access to Online Courses
    • Internship Program
    • Work Visa Sponsorship
    • Associate or Rotational Training Program
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities