Software Optimisation Research Engineer – Automotive

IC Resources; Toscana; In loco; EUR 40.000 - 70.000; Tempo pieno

Vantaggi offerti da questo lavoro

Dynamic and inclusive work environment

Competitive salary and bonus

Full benefits

Descrizione del lavoro

IC Resources is urgently seeking a Software Optimisation Research Engineer to join their R+D Centre in Pisa, Italy. The role focuses on developing next generation models for intelligent vehicles and edge computing systems, collaborating closely with software, hardware, and compiler teams. Ideal candidates will have a Master's or PhD in Computer Science, AI, or Computer Engineering and several years of relevant R&D experience.

The position offers a dynamic and inclusive work environment, competitive salary, bonus, and full benefits.

Competenze

• Master's or PhD in Computer Science, AI, or Computer Engineering required.
• Several years in research and development for system software applications.
• Experience in model optimisation and modern deep learning applications.

Mansioni

• Develop next generation models for intelligent vehicles and edge computing systems.
• Work closely with system software, hardware, and compiler teams.

Conoscenze

Model optimisation

AI and deep learning

Research and development experience

Performance optimisation

Formazione

Masters or PhD in Computer Science, AI or Computer Engineering

Strumenti

Distributed training frameworks

CPUs

GPUs

NPUs

Automotive SoCs

Descrizione del lavoro

This leading developer of emerging automotive software and systems urgently seeks a Software Optimisation Research Engineer to be based at their R+D Centre in Pisa.

Responsibilities

• Develop next generation models for intelligent vehicles and edge computing systems.
• Work closely with system software, hardware and compiler teams to bridge cutting edge AI research and real-world automotive applications.

Qualifications

• Successfully completed a Masters or PhD in Computer Science, AI or Computer Engineering.
• Several years of experience in research and development for system software applications.
• Experience in model optimisation, edge AI, efficient AI and exposure to distributed training frameworks, LLMs and modern deep learning applications.
• Exposure to optimising performance across CPUs, GPUs, NPUs or automotive SoCs would be beneficial.

Benefits

• Dynamic, inclusive work environment with flexibility for a full work‑life balance.
• Competitive salary, bonus and full benefits.