Job Details:
Job Description:
This position requires candidates to upload a resume in English; you are welcome to upload multiple versions of your resume if you prefer but an English version of your resume will be required to be considered for this position.
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 **
Demonstrate the value of Intel's neuromorphic technologies by developing, implementing and benchmarking algorithms for Intel's next generation neuromorphic architecture to enable applications in edge computing, signal processing and autonomous systems for the era of physical AI with groundbreaking performance and efficiency.
**Responsibilities **
- Support the development and benchmarking of applications on Intel's next-generation neuromorphic architecture.
- Author and publish results in top-tier conferences/journals.
- Contribute to Intel's neuromorphic SDK with documentation, code reviews, and continuous improvement of software processes.
**About the Organization: **
As part of Intel's CTO Office, you will join a vertically integrated incubation effort dedicated to bringing Intel's neuromorphic technology innovations to market. Our diverse team of engineers and researchers have pioneered sparse, event-based, neuromorphic architecture over multiple generations and is now focused on commercializing the technology in future Intel and partner products
Behavioral Traits
- Problem‑Solving Mindset: Approaches complex technical challenges with curiosity, creativity, and structured analytical thinking.
- Collaboration Skills: Works effectively with cross‑functional engineering teams, seeks input from partners, and communicates clearly in both technical and non‑technical contexts.
- Adaptability and Learning Agility: Quickly learns new tools, technologies, and methodologies; comfortable working in evolving development environments.
- Attention to Detail: Delivers high‑quality, reliable, and scalable software solutions with a focus on robustness, validation, and secure coding practices.
- Results‑Oriented: Prioritizes effectively, manages time well, and drives solutions to completion in a fast‑paced engineering environment.
- Innovation and Continuous Improvement: Looks for opportunities to optimize tools, simplify workflows, and introduce new methodologies that enhance engineering efficiency.
- Communication: Communicates ideas clearly, documents work effectively and provides concise progress updates to stakeholders.
Intern must be willing to work at least 30 hours per week.
Qualifications:
Minimum qualifications are required 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.
Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
Minimum Qualifications:
Enrolled in an MSc or PhD program in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Physics, or a related field.
3+ years of experience writing clean, efficient and modular Python and C++ code.
2+ years of experience with deep/machine learning, mathematical optimization, and AI frameworks (PyTorch, JAX, TensorFlow).
1+ years of experience in:
- Developing AI models for perception, reasoning, and control (e.g., YOLO, LLMs, or VLAs based on transformer or SSM architectures)
- Software development best practices (OO design, testing, debugging, documentation, version control, code reviews).
Advance English level.
Must have unrestricted, permanent right to work in Mexico (this role is not eligible for visa or immigration sponsorship).
Preferred Qualifications:
- Experience with edge AI HW accelerators or event-based sensors.
- Experience in developing software for robotics or other real-time control systems.
- Experience with profiling and benchmarking algorithms and hardware architectures.
A candidate who accepts an offer of employment in Mexico is required to present their own personal identification information and numbers for the following: Mexican Security Number (NSS), Tax Identification Number (RFC) and CURP identification number.
Job Type:
Student / Intern
Shift:
Shift 1 (Mexico)
Primary Location:
Mexico, Guadalajara
Additional Locations:
Business group:
The Central Engineering Group (CEG) is Intel's data-driven organization that builds scalable engineering solutions across three pillars: Product Enablement (IP, tools, and methodologies), Custom ASIC (leveraging existing IP for custom silicon), and Foundry Enablement (supporting top customers and validating technologies). The team focuses on customer-driven, end-to-end solutions with short development cycles to deliver measurable business impact across Intel's product and foundry businesses.
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
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.