Senior Design Verification Engineer - Neuromorphic ComputingIntel • United States
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Senior Design Verification Engineer - Neuromorphic Computing
Intel
- United States
- United States
À propos
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 an experienced pre-silicon verification engineer 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 developing a scalable verification framework spanning software, RTL and emulation models to verify these novel architectures. An openness to learning new technologies and methodologies, such as asynchronous design and AI automation, is essential.
Responsibilities
Creating unit-level and system-level test plans.
Write directed and random tests for design partitions and chip-level.
Debugging test failures, tracking coverage and working with designers to fix failures and improve coverage.
Maintaining assertions, scoreboards and any tools/flows that are developed.
Minimum Qualifications
Bachelors and 8+ years OR Masters and 6+ years of silicon engineering experience.
5+ years of verification experience in SoC accelerators or custom ASIC designs.
5+ years of experience in UVM/OVM and constrained random verification methods.
2+ years of experience owning the entire verification stack including test planning, test development, coverage tracking, and interfacing with emulation models.
1+ year of experience using AI tools for test generation, debugging and improving overall productivity.
Preferred Qualifications
Experienced in neuromorphic computing or AI/ML accelerator design.
Experience with commercial Verification IPs for standard IO interfaces, PHYs, and protocols such as Ethernet, PCIE, MACsec/IPsec, RoCEv2, MIPI CSI-2, JESD204.
Experience with DFX, low power and UPF verification techniques.
Experience leading silicon design/verification teams.
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
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 Annual Salary Range for jobs which could be performed in the US: $164,470.00 - 311,890.00 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 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.
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Compétences linguistiques
- English
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