Automotive Dependability Intern - AI, Safety & Systems

InternHunt

Valbonne

A distancia

EUR 24.000 - 30.000

Jornada completa

Hace 2 días
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Descripción de la vacante

Arm’s Sophia Antipolis design centre invites interns to join the Central Technology team for a six-month placement starting in 2027. You will work on Functional Safety, cybersecurity, and reliability architecture using SysML and dependable tools, in collaboration with a global team shaping automotive technologies.

You will explore new architectures, contribute to AI-driven dependability initiatives, and align with a master’s thesis project.

Formación

  • Pursuing a master’s degree in CS, EE, or related field.
  • RTL development & verification experience.
  • Software development and testing experience.
  • Knowledge of computer architecture.
  • Understanding of AI workloads.
  • Familiarity with Cyber Security, Reliability, and Functional Safety.

Responsabilidades

  • Work on Functional Safety, cybersecurity, and reliability architecture using SysML modelling and dependable tools for analyses.
  • Collaborate with a team developing architectures emphasizing dependability in the automotive market.
  • Explore new architectures and processes, collaborating with Arm engineers to build automotive strategies.
  • Involve AI and dependability as part of a master’s thesis project.

Conocimientos

RTL development
Verification
Software development
AI workloads
Cybersecurity
Functional Safety
Model Based Systems Engineering

Educación

Master's degree in CS/EE or related
PhD candidate (advantage)

Herramientas

SysML modelling

Descripción del empleo

Arm’s Sophia Antipolis design centre invites interns to join the Central Technology team for a six-month placement starting in 2027. You will work on Functional Safety, cybersecurity, and reliability architecture using SysML and dependable tools, in collaboration with a global team shaping automotive technologies.

You will explore new architectures, contribute to AI-driven dependability initiatives, and align with a master’s thesis project.

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