• Deliver on the most technically complex application, network, and adversary services engagements. • Architect and build AI-powered platforms — including agentic systems — that automate reconnaissance, attack path discovery, exploitation, and reporting across the offensive lifecycle. • Maintain a relentless focus on outputs that move the P&L: tooling that compounds across engagements and improves over time. • Act as a hands-on senior leader in secure software development, model integration, and the engineering discipline required to build durable internal platforms. • Act as a trusted advisor to our clients’ senior leadership on security matters, providing insights and recommendations to inform strategic decision-making. • Collaborate with our sales and marketing teams to drive opportunity identification and rapidly grow the practice.

• Architect end-to-end computer vision pipelines for real-world safety detection — object detection, tracking, semantic segmentation, multi-camera fusion, and beyond • Drive the technical roadmap for edge and cloud perception, including how we optimize and deploy models on constrained hardware without sacrificing accuracy • Partner closely with our hardware and firmware teams — we build our own devices, which means you'll have a rare ability to co-design the full stack • Work with petabyte-scale multimodal data (video, sensor, telematics, diagnostics) to train and iterate on production models • Stay at the frontier of CV and perception research and translate what matters into shipped product • Mentor and technically guide senior scientists and engineers across the team • Bring clarity to ambiguous problems — translating customer and business needs into precise, solvable engineering challenges.

• Shape your function's AI strategy and build the solutions that deliver it. • Manage the full lifecycle: understanding how work flows today, prioritising what gets built. • Prototype solutions, configure agents, and prove what's possible before pulling in engineering support.

• Design advanced mathematical problems for frontier AI training and evaluation • Create deterministic problems with exactly one correct answer • Write complete, verified solutions and clearly document the reasoning process • Develop problems that test deep mathematical reasoning, not just memorization • Where relevant, use Python or specialized tools to build computational workflows • Ensure all outputs are technically precise, reproducible, and well-written in English