Systems SW Engineer - Neuromorphic Computing

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Job Details:

Job Description: 

The Opportunity For nearly a decade, Intel's Neuromorphic Computing Lab-together with a global ecosystem of 250+ research groups-has explored architectures, algorithms, and software inspired by the brain's extraordinary efficiency, scalability, and adaptability. Our Loihi series of research chips pioneered event-driven, sparse, and massively parallel neuro-inspired processing, fueling over 100 peer-reviewed publications that validate the promise of this novel approach. Now, we're entering an exciting new chapter: transforming these breakthroughs into real-world products that will power the coming era of physical AI systems-beyond the reach of GPUs and mainstream AI accelerators. If you are passionate about pushing the boundaries of computing, from transistor-level innovation to software abstractions, join us. Help define the next wave of AI technology that harnesses the proven advantages of Intel's neuromorphic computing technology with the versatility demanded by modern AI workloads. Position Overview We are growing our systems team and are seeking an experienced systems software engineer to develop the runtime framework for our next generation neuromorphic systems. As part of the systems team, you will enable user-compiled models from higher-level application layers to run efficiently on a variety of Loihi based platforms. You will collaborate with the software team to define the abstractions required to run, debug and validate these models on the hardware. Candidates should be open to learning standard and custom interfaces (like Ethernet, MIPI) used in silicon to transact data. Responsibilities • Develop and test operating system components and runtime features for Intel's future neuromorphic products and evaluation platforms. • Support bring-up, debug, and validation of prototype chips and platforms. • Implement performance tuning and scaling of customer workloads. • Develop automated test and validation frameworks for seamless deployment of Loihi systems and software to end customers.

Qualifications:

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

Minimum qualifications

  • Bachelors & 4+ years or Masters & 3+ years in Computer Science, Electrical/Computer Engineering, or a related field.
  • 2+ years of experience in run-time software development and system-level programming.
  • 2+ years of experience in performance optimizations and/or scaling software to large scale systems.
  • 2+ years of experience in C/C++ and scripting.
Preferred qualifications
  • Experience with LLVM and MLIR.
  • Proficiency in Python.
  • Familiarity with real-time operating systems (e.g. Zephyr RTOS).
  • Familiarity with Ethernet protocols.

    Job Type:

    Experienced Hire

    Shift:

    Shift 1 (United States of America)

    Primary Location: 

    US, Oregon, Hillsboro

    Additional Locations:

    US, Arizona, Phoenix, US, California, Folsom, US, California, Santa Clara, US, Texas, Austin

    Business group:

    Intel makes possible the most amazing experiences of the future. You may know us for our processors. But we do so much more. Intel invents at the boundaries of technology to make amazing experiences possible for business and society, and for every person on Earth. Harnessing the capability of the cloud, the ubiquity of the Internet of Things, the latest advances in memory and programmable solutions, and the promise of always-on 5G connectivity, Intel is disrupting industries and solving global challenges. Leading on policy, diversity, inclusion, education and sustainability, we create value for our stockholders, customers, and society.

    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: $122,440.00-200,340.00 USDThe 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.
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    Slack_Slacker19 hours ago

    expecting niche neuromorphic experience for 122k in santa clara is laughable, bet they ghost everyone who applies anyway.