• Desarrollar y producir características del juego en colaboración con miembros del equipo y clientes. • Proporcionar a productores, gerentes de ingeniería y/o líderes información detallada sobre el progreso y los problemas cuando sea necesario. • Asistir a miembros junior del equipo cuando sea necesario, proporcionando perspectivas basadas en la experiencia y conocimientos. • Proporcionar opciones de solución y estimaciones de tareas en relación con esfuerzo y riesgos cuando sea necesario. • Desarrollar, codificar/configurar y probar características y sistemas de acuerdo con los requisitos del proyecto. • Producir documentación de los procesos según lo definido por el Líder Técnico. • Aplicar y promover las mejores prácticas de desarrollo, siguiendo las convenciones de codificación estandarizadas.

• Desarrollar y producir características del juego en colaboración con los miembros del equipo y clientes. • Proporcionar información detallada sobre el progreso y problemas cuando sea necesario a productores, gerentes de ingeniería y/o líderes. • Asistir a miembros más jóvenes del equipo cuando sea necesario, proporcionando información basada en la experiencia y el conocimiento. • Proporcionar opciones de solución y estimaciones de tareas sobre esfuerzos y riesgos cuando sea necesario. • Desarrollar, codificar/configurar y probar características y sistemas de acuerdo con los requisitos del proyecto. • Producir documentación de los procesos según lo definido por el líder técnico. • Aplicar y promover las mejores prácticas de desarrollo, siguiendo las convenciones de codificación estandarizadas. • Servir como un miembro activo de Nimble Giant, ayudando a mejorar nuestros equipos de ingeniería y fomentar la colaboración entre todos los departamentos.

• Design and optimize analog state preparation protocols, including adiabatic, variational, counter-diabatic, and optimal-control approaches. • Conduct original research in quantum algorithms, quantum algorithm complexity, and quantum information theory. • Design and benchmark algorithmic primitives aligned with neutral-atom capabilities. • Collaborate with application teams to optimize performance under realistic architectural constraints. • Contribute to the software stack, including prototyping, maintaining, and improving libraries. • Document and publish results internally and externally, contributing to the company’s scientific visibility. • Keeping a regular technological watch. • Having an inventive activity in the scientific and technical fields related to the Company's research, products, technologies and markets; filing patents.

Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Responsibilities Your future team As a Principal Forward Deployed Engineer (FDE) at Atlassian, you’ll be at the forefront of applied AI, working directly with customers and cross-functional teams to deliver innovative, AI-powered solutions. The FDE team partners with top organizations across industries, helping them leverage Atlassian’s AI capabilities to solve complex, real-world problems. You’ll collaborate with product, engineering, and design, rapidly growing your technical and domain expertise while making a tangible impact on business outcomes. This is a high-visibility, high-impact role for those who thrive in fast-paced, ambiguous environments and are passionate about shaping the future of AI-powered teamwork. What you’ll do As a Principal Forward Deployed Engineer, you will: - Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs, leveraging frameworks such as TensorFlow, PyTorch, and agent-based platforms (e.g., LangChain, LlamaIndex). - Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise-scale systems. - Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction. - Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency. - Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement. - Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks. - Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous learning. - Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership. - Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results. Qualifications Your background On the first day, we'll expect you to have: - Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. - 12+ years of experience in backend software development, with at least 5 years in a principal/staff-level role. - 5+ years of experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development. - Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks. - Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration. - Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments. - Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority. - Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR). - Strategic and innovative thinking, with a track record of aligning technical solutions to business goals. It's great, but not required, if you have: - Experience with Atlassian Intelligence, Rovo AI, or AI-powered Atlassian features. - Familiarity with regulated industries (e.g., finance, healthcare). - Experience deploying AI solutions to complex production systems at scale. - Prior experience mentoring or leading engineering teams. Our perks & benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh.