Jobs at D-Wave Systems

Supports 24/7 cybersecurity operations including threat detection, incident response, vulnerability management, identity and endpoint security, DLP, network and cloud security, SaaS risk evaluations, and enterprise resilience. The role develops SIEM and threat detection capabilities, enhances security controls through scripting and configuration, leads cyber incident responses, collaborates across technology teams, and delivers employee security awareness training.

Lead the design and development of software for quantum machine learning methods. Collaborate with researchers and communicate findings. Oversee best practices in machine learning systems and influence product offerings.

Conduct market and competitive intelligence research for quantum computing products; track competitors, patents, publications, financial signals, and industry trends. Use AI-enabled tools and dashboards (Tableau/Power BI/Python) to gather, analyze, and visualize data. Produce reports and presentations to inform product strategy and support cross-functional teams.

Design, build, deploy, and operate an internal AI platform and AI-powered developer workflows. Implement CI/CD for models, prompts, and evaluations; integrate Bedrock/agent frameworks; ensure security, observability, reliability, and cost/version controls; respond to incidents and participate in on-call rotations; promote AI best practices and lead architecture discussions.

Design, develop, and maintain backend services for the Leap quantum-classical hybrid cloud platform. Collaborate with product owners and architects across the SDLC to deliver features, troubleshoot and tune production systems, write clean maintainable code, participate in code reviews and on-call rotation, and mentor junior engineers to improve engineering practices and platform scalability.