![D-Wave is hiring for remote Staff AI Platform Developer [590]](/assets/4684c976-ddf9-4270-8619-f60f54c3a193.jpeg){kind=small}
Lead the architecture and development of internal AI solutions, including LLM applications, agents, and RAG systems. Drive the adoption of AI capabilities across product development teams while ensuring security, reliability, and cost-effectiveness.
D-Wave
10 Remote Job Openings at D-Wave
You will design, build, and operate internal AI-powered tools and platforms to streamline developer productivity and automate workflows. Additionally, you will manage deployment pipelines for AI models and ensure the reliability and security of the AI infrastructure.
The Senior Application Developer will design and implement quantum applications using Python to solve complex problems for commercial and government customers. They will collaborate with internal teams to optimize code performance and ensure successful project delivery.
Lead the architectural design and development of software to enable rapid prototyping of quantum machine learning methods. Research and develop ML methods that leverage the optimization, sampling, and simulation capabilities of annealing quantum computers.
Design, implement, and maintain core networking infrastructure across AWS and on-premise Cisco environments. Ensure network security and reliability while automating provisioning through infrastructure-as-code practices.
Lead process development initiatives and optimize the process of record for superconducting IC fabrication at partner foundries. Collaborate with cross-functional teams to drive improvements in yield, performance, and reliability of complex superconducting circuits.
Develop and maintain automated calibration systems and tooling for quantum processing units. Collaborate with cross-functional teams to architect and deploy full-stack web applications and reliable back-end systems.
Lead research and development for hybrid quantum-classical algorithms and benchmarking strategies to optimize system performance. Develop graph-theoretical algorithms for mapping optimization problems to quantum computer topologies.
Develop and maintain new features for the Leap quantum-classical hybrid cloud platform while collaborating with cross-functional stakeholders. The role involves owning the full software development lifecycle, mentoring junior developers, and ensuring high system availability through on-call rotations.
Lead the end-to-end development of complex, high-value proposals for U.S. government funding in quantum computing and hardware R&D. Coordinate cross-functional teams to manage budgeting, resourcing, and the submission of technical bids.
