Top Engineering Jobs

Build and own new AI-powered recruiting products from customer discovery through production, adoption, reliability, and iteration. Responsibilities include developing AI agents, user interfaces, APIs, data models, permissions, and production systems. The role requires direct customer engagement, cross-functional product and engineering judgment, hands-on coding, and independent ownership of customer outcomes. Engineers use AI coding agents while retaining responsibility for architecture, implementation, review, debugging, and production behavior.

Design, implement, maintain, and support enterprise network infrastructure for the University of Queensland. Lead network and infrastructure projects, evaluate emerging technologies, provide technical consultancy, and promote cybersecurity, reliability, resilience, and performance. The role also requires stakeholder collaboration, customer-focused problem solving, and leadership of technical activities.

Design and optimize Wi-Fi architectures for large-scale warehouse and industrial environments. Perform RF propagation modeling, simulation, measurements, and troubleshooting. Develop RF test plans, conduct OTA and conducted testing, integrate Wi-Fi modules into robotic platforms, and validate RF shielding, filtering, and compliance in dense industrial RF environments.

Develop and deploy reinforcement learning and imitation learning policies for whole-body humanoid locomotion and manipulation. Build high-fidelity simulation environments, improve sim-to-real transfer, conduct experiments, evaluate models, write reusable code, contribute to publications, and deliver policies to production customer sites. The role spans robotics research, computer vision, model development, and end-to-end deployment.

Build AI-powered code review features involving LLM memory, multi-language codebase indexing, semantic search, autonomous testing, and deployment. Design, implement, test, and deploy full-stack features; gather user feedback; lead cross-team initiatives; establish architecture and technical standards; build shared platforms and infrastructure; and manage scaling, incidents, security, and compliance risks.

Lead design, build, and scale of Kubbly's messaging AI platform. Own architecture, reliability, observability, databases, integrations, CI/CD, and production systems while shaping product roadmap and engineering culture.

The Head of Engineering will drive technical direction, develop product architecture, and eventually lead the engineering team while coding and building AI systems.

Build and own user-facing features and core platform architecture across frontend, backend, and ML pipelines. Integrate AI workflows (LLMs, embeddings) for curriculum generation and automated evaluation. Manage end-to-end development: requirements, design, implementation, CI/CD, testing, observability, and iteration while collaborating with product, design, ML, and customer teams.

Supports plant leadership by designing manufacturing processes and leading cross-functional continuous improvement initiatives using TPS, JIT, and Kaizen principles. Identifies and eliminates waste, improves safety, quality, productivity, profitability, and lead time, and develops standardized work, tools, jigs, and flow racks. Coaches employees, coordinates projects, validates results, prepares A3 reports and management presentations, and facilitates continuous improvement training.

Work full-stack on a small mobile-focused engineering team building a product-first React Native app. Contribute to product ideation, UX, analytics, and deliver features across frontend and backend (GraphQL, PostgreSQL). Report to Head of Engineering and collaborate on technical decisions, pair-program, and help shape product strategy in a fast-paced startup.