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Intel

DevOps Engineer

San Diego, CA

Job Description
Habana Labs is a young and innovative company focused on developing purpose-built AI processors, disruptive solutions that will shape the future of AI and Deep Learning computing. Habana was founded in 2016 by successful entrepreneurs, launched its first AI Inference processor in 2018, its Training processor in 2019 and was acquired by Intel in December 2019.  The company now operates as an autonomous subsidiary of Intel.  Our vision to take AI processing from its current limits to the peak of its potential continues. We see challenges as opportunities, laser focus on execution and are determined to fulfill our vision to improve the quality of life, work and leisure with our AI solutions. We are looking for exceptionally smart people who believe that AI will change the world and would like to join us on our exciting journey!

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We are looking for a hands-on DevOps Engineer with strong background on DevOps tools and has good knowledge on Deep learning domain. Hands on coding skills in python and C++ is a must.
Hands-on skills to root cause bugs and track for the fixes.

Roles and Responsibilities:
  • Build and support Jenkins scripts in groovy and supporting infrastructure.
  • Build and maintain dockers and Kubernetes for DevOps and releases.
  • Build C++ Habana stack modules for CD releases
  • Support the Gerrit /GIT integration of patches for the customer branches.
  • Develop new test cases for new AI models being enabled on Habana HW in python /C++.
  • Debug and run the existing AI test cases on Jenkins for accuracy & performance


Qualifications
Minimum Qualifications
  • BS in Engineering, Computer Science or related field with 6+ years of relevant experience
  • 3+ years of experience in -on coding experience in Python and C++ programming languages
  • 3+ year  of DevOps and Hands on experience on Jenkins and tools
  • 3+ years of experience in QA related practices and solid expertise in building tools and test cases
  • 1+ years of experience in various Linux environments

Preferred qualifications
  • 1+ years of experience in Familiarity with Deep Learning frameworks and theory (TF, Caffe, PyTorch, OpenCV, etc.) 
  • 2+ years of  experience on MLOps implementation experience
  • 3+ years of  experience on GO for building stacks

Additional skills
  • Fast learner
  • Good communication skills

Inside this Business Group
The Data Center Group (DCG) is at the heart of Intel's transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies-spanning software, processors, storage, I/O, and networking solutions-that fuel cloud, communications, enterprise, and government data centers around the world.

Other Locations
US, California, Santa Clara;

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.
US JR0147352 San Diego Data Center Group

Job ID: intel-JR0147352
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • HSA
    • On-Site Gym
    • Pet Insurance
    • Mental Health Benefits
    • Virtual Fitness Classes
  • Parental Benefits

    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
    • On-site/Nearby Childcare
  • Work Flexibility

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

    • Commuter Benefits Program
    • Casual Dress
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

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

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

    • Tuition Reimbursement
    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Work Visa Sponsorship
    • Leadership Training Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Woman founded/led
    • Black founded/led

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