Staff Deep Learning Engineer – Perception Technology

About the role

Join our team to shape the future of perception technology. You will drive real‑time, deep‑learning‑based solutions for autonomous and non‑autonomous platforms, turning cutting‑edge research into field‑ready capabilities.

Key responsibilities

• Research, design and implement state‑of‑the‑art perception capabilities, turning ideas into world‑class field solutions.
• Deploy our AI stack to edge devices and ensure robust operation.
• Collaborate with other deep learning engineers to architect tools that scale deep learning operations.
• Stay current with literature and actively contribute to various R&D projects.

Required profile

• 3–5 years of industry experience delivering deep‑learning solutions for computer vision problems.
• Strong understanding of convolutional neural networks and/or transformers for object classification, recognition or segmentation.
• Experience with recent foundation models.
• Proficiency in implementing novel architectures using frameworks such as TensorFlow, Caffe, PyTorch or similar.
• Relevant tertiary qualification (BSc/MSc/PhD in Computer Science or related field).

Required skills

• Python development.
• C++ development.
• TensorFlow, PyTorch, Caffe frameworks.
• Convolutional Neural Networks (CNN) and Transformers.
• Foundation models.
• Object detection and target tracking.
• Simultaneous localisation and mapping (SLAM) and 3D reconstruction.
• Model pruning, quantisation and performance tuning.
• MLOps systems and services.