North American Production Sharing de México, S.A. de C.V.

ASIC DRAM PHY Designer

North American Production Sharing de México, S.A. de C.V.

Tijuana, Baja California

Enero 19 2026

Compartir:

Giro

Maquiladora (Export.)

Actividad principal

Administración de maquiladoras.

Número de empleados

10000

Sitio Web corporativo

Datos de sucursal

*****@napsmexico.com

Vía Rápida Poniente 16955-58 Río Tijuana, 3ra. Etapa Tijuana, Baja California

Descripción y detalle de las actividades

We are seeking a highly skilled engineer to develop 2.5D/3D chiplet and networking solution-based technology systems co-optimized for a unique era of heterogeneous compute as Moore’s law slows down. He/she should be able to apply that knowledge to define the company's next generation SoC and platform architectures including partitions for logic and memories and involving 2.5D/3D chiplets and networking technologies to connect them.


Candidate will also drive innovation in the group to effectively map emerging AI and other compute use cases to process and chip-integration solutions with detailed knowledge of process technology, 2.5D/3D chiplet architecture, networking technologies, and trade-offs. Knowledge of different IPs e.g., CPU, GPU, NPU and how they act together to drive an E2E use case is a plus. Candidate will work with internal architecture and system teams to develop 2.5D/3D partitions and map to 3D stacking topologies. Candidate will perform system KPI analysis to drive 3D architecture and stacking strategies for new product introduction.

Experiencia y requisitos

Minimum Qualifications:

  • Excellent understanding of generic and AI use case KPI dependency on process and system architecture involving chiplets and networking technologies.
  • Good knowledge of heterogeneous architecture, 2.5D/3D integration schemes.
  • Basic programming skills e.g., ability to model in Python or other languages system use case impact of 3D architectures and integration schemes.
  • Master's in Electrical Engineering, Computer Science, or a related field.
  • Ability to work without much supervision and as part of a team.
  • Most tasks do not have defined steps; simultaneous use of multiple mental abilities is generally required to determine the best approach.
  • Advanced data analysis and interpretation skills are required.


Minimum Qualifications:

  • Bachelor's degree in Science, Engineering, or related field and 5+ years of AI relevant System and technology or related work experience.
  • OR Master's degree in Science, Engineering, or related field and 4+ years of AI relevant System and technology or related work experience.
  • OR PhD in Science, Engineering, or related field and 3+ years of AI relevant System and technology or related work experience.

Beneficios

  • Beneficios de acuerdo a la LFT
  • Seguro de vida
  • Fondo de ahorro
  • Seguro de gastos médicos
  • Otros
  • Vales de despensa

Número de vacantes 1

Área Ingeniería

Contrato Permanente

Modalidad Presencial

Turno Diurno

Jornada Tiempo Completo

Horario
  • Tiempo completo

Salario mensual neto $1,000 - $1,001 MXN

Estudios Carrera con título profesional

Inglés Hablado: Avanzado, Escrito: Avanzado

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