AI Research Engineer – Data Generation & Optimization - Remote

Overview

Axelera is a European, high-growth Series B startup revolutionizing the AI landscape with our in-memory computing platform. We specialize in creating AI hardware and software optimized for high-performance inference, catering to cutting-edge use cases across high-end edge computing, embodied AI, and server-side AI deployments. We are looking for passionate, innovative research engineers to join our team and help drive the future of AI.

In Short

• Develop cutting-edge compression techniques for Generative AI models.
• Optimize models for memory usage and computational efficiency.
• Collaborate with AI researchers and engineers.
• Stay updated on AI and model compression advancements.
• Implement best practices for model testing and deployment.

Requirements

• Proven experience in model compression techniques.
• Expertise in deep learning frameworks like TensorFlow, PyTorch, or JAX.
• Experience optimizing models for resource-constrained environments.
• Strong understanding of deep learning algorithms and neural networks.
• Ability to work collaboratively in a fast-paced environment.

Benefits

• Work on groundbreaking technology in AI applications.
• Join a diverse and driven team.
• Significant growth opportunities in a Series B startup.
• Competitive salary, equity options, and benefits package.