2 Peerreviewed Publications Jobs

You will be working at an advanced-technology scale-up focused on Quantum Computing, Artificial Intelligence, and Semiconductor Engineering. The hardware division of the company specializes in designing full-stack enterprise quantum computers, including superconducting processors, cryogenic control electronics, and RF instrumentation. The goal is to unlock breakthroughs across various sectors such as life sciences, finance, transportation, and space. As the Quantum Processor Architect, your primary responsibility will be to design fully fault-tolerant and scalable quantum processors. This involves crafting blueprints and error-correction strategies for next-generation devices, with a focus on developing patentable intellectual property. You will also be tasked with designing, simulating, and benchmarking various quantum error-correction codes on noise-biased hardware. Collaboration with cryo-control and fabrication teams to iterate solutions will be crucial in this role. You will need to build numerical tool-chains using Python/QuTiP/Qiskit to model error propagation, mitigation, and gate-fidelity limits. These tools will provide data-driven design insights to enhance the quantum processor's performance. Additionally, prototyping dynamical-decoupling and error-mitigation schemes will be part of your responsibilities to extend coherence and enable bias-preserving logical gates. In this position, it is essential to publish peer-reviewed papers, file patents, and author internal Department of Energy (DoE) reports that influence the company's roadmap and funding decisions. Furthermore, you will play a key role in championing rigorous peer reviews, mentoring junior researchers, and promoting cross-functional knowledge-sharing within the organization. To excel in this role, you are required to have a PhD or MS in Physics, Mathematics, Computer Science, or a related field with a focus on quantum technologies. A minimum of 3 years of experience in designing quantum error-correction codes and fault-tolerant architectures is necessary. Proficiency in Python, MATLAB, and quantum software stacks for large-scale simulations and data analysis is a must. Hands-on experience with dynamical decoupling and error-mitigation techniques on experimental platforms is highly desirable. A strong track record of peer-reviewed publications and successful research projects is also expected. Additionally, familiarity with noise-biased bosonic codes, experience in writing DoE and experimental-improvement reports, and a background in cryogenic control electronics, RF instrumentation, or superconducting-qubit fabrication are preferred qualifications. Proven patent filings or open-source contributions in quantum technology, exposure to GPU-accelerated simulators, and engagement with industry consortia or standards bodies advancing quantum-error-correction research will be advantageous in this role. As the Quantum Processor Architect, your skill set should include expertise in numerical tool-chains, qubit-control schemes, artificial intelligence, dynamical decoupling, Python-based quantum platforms, quantum error-correction codes, problem-solving, superconducting-qubit error-correction schemes, computational modeling of quantum circuits, LDPC codes, communication, quantum software stacks, and fault-tolerant architectures. Your contributions will play a critical role in advancing the company's capabilities in the field of quantum computing and semiconductor engineering.,

As a Senior ML/AI Engineer at our Technology Innovation Lab, you will be a key member of a cross-disciplinary team dedicated to advancing AI and intelligent automation at HERE. Your primary responsibility will be to develop cutting-edge machine learning systems that leverage Agentic AI, Generative AI, and foundational ML techniques to drive the next generation of applications. Collaborating closely with technical leads, researchers, and engineers, you will prototype solutions to address real-world spatial, operational, and knowledge-driven challenges. Your role will involve architecting and implementing AI-first systems using technologies such as Large Language Models (LLMs), Autonomous Multi-Agent Architectures, and Classical ML models like regression, clustering, XGBoost, SVM, and tree-based learners. Leading the development of Agentic AI solutions will be a core aspect of your role, encompassing tasks such as orchestration, memory/context management, tool invocation, and human-agent collaboration. You will also be responsible for designing and delivering end-to-end Generative AI applications for various purposes including text generation, summarization, code synthesis, image generation, and multi-modal interfaces. Your expertise in deep learning techniques, including CNNs, RNNs (LSTM, GRU), GANs, Diffusion Models, Transformers, and Graph Neural Networks, will be crucial for tackling real-world tasks in vision, language, and planning. You will collaborate across teams to translate domain-specific problems into scalable, explainable, and production-ready AI solutions while incorporating responsible AI principles. Staying at the forefront of AI research will be essential, as you evaluate and implement emerging LLM models, agentic frameworks, and open-source innovations to ensure technical currency in this rapidly evolving field. You will also design and lead experiments across advanced AI/ML areas, encompassing computer vision, NLP, LLMs, and emerging domains like quantum computing, distributed computing, 3D modeling, AR/VR, and LiDAR/drone data processing. Writing efficient, production-quality code using Python and leveraging frameworks like PyTorch, TensorFlow, and Spark for large-scale ML training and inference will be part of your daily tasks. Defining and tracking KPIs at both individual and business unit levels, in collaboration with your manager, will ensure that your work drives impactful innovation. Supporting and mentoring engineers and data scientists in best practices related to prompt design, agent workflows, evaluation frameworks, and research translation will also be part of your responsibilities. Additionally, contributing to HERE's innovation footprint through patents, internal IP development, and peer-reviewed publications will be encouraged. To qualify for this role, you should hold a Master's degree or Ph.D. in Computer Science, AI/ML, Mathematics, or a related field. Candidates with a Master's degree should have 5-7 years of experience, while Ph.D. holders may have 3-5 years of relevant experience. A strong understanding of ML fundamentals, hands-on experience with deep learning architectures, proficiency in Python, and familiarity with ML frameworks are essential qualifications. Curiosity and exposure to adjacent technologies like TinyML, Quantum Computing, or 3D modeling/AR will be considered advantageous. At HERE Technologies, we are a location data and technology platform company dedicated to empowering our customers and making a positive impact on people's lives. If you are passionate about driving innovation and creating positive change in an open world, we invite you to join us on this exciting journey.,