Über
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 silicon team, seeking physical design engineers passionate about innovation at the intersection between emerging semiconductor technology and novel computing paradigms. As a member of Intel's neuromorphic silicon team, you will play a hands‑on role in ensuring designs meet performance, area, power and scan coverage targets. An openness to learning new technologies and methodologies, such as asynchronous design, is essential.
Responsibilities
Understand design dataflow and chip‑level floor‑planning constraints to set up partition floorplans with macro/pin placements and keep‑outs.
Work with RTL designers to define timing constraints; run synthesis and place‑and‑route trials; fix timing, EM/IR and DRC violations.
Run back‑annotated VCS+SDF simulations and iterate on meeting power/performance targets.
Write custom scripts and define tool flows to manipulate synthesis and physical design tools for low power/high performance custom designs.
Qualifications Minimum Qualifications
Bachelors & 4+ years or Masters & 3+ years or PhD with hands‑on physical design experience.
3+ year of experience in synthesis, place and route and timing/layout closure.
3+ years of experience with scripting languages such as Perl, TCL, Python, etc.
Preferred Qualifications
Experience in chiplet integration and/or advanced packaging.
Static timing experience with multiple interfaces (SerDes, UCIe, etc..)
Experience in Synopsys tools (Fusion Compiler, Primetime, VCS)
Experience in EDA/CAD software development using object‑oriented programming languages like Java or C++.
Experience in asynchronous architectures and circuits.
Job Type College Grad
Shift Shift 1 (United States of America)
Primary Location US, Oregon, Hillsboro
Additional Locations US, California, Folsom
US, California, San Jose
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.
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 - 232,190.00 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.
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Sprachkenntnisse
- English
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