SLB’s Software Technology Innovation Center (STIC) is looking for an experienced software engineer with enthusiasm to explore new technologies and drive innovation projects in the Foundations Lab. Drawing on solid foundations in computer science and experience with a variety of technologies, the successful candidate will have the opportunity to build prototypes, de-risk solution ideas, innovate with emerging technologies and collaborate with other labs in the technology center, and across the global organization to help build the next generation of solutions for the Energy Industry. A self-motivated individual with an affinity to push the boundaries, work under uncertainty and enjoy the opportunity to create and innovate will thrive in this role. The candidate should have demonstratable, hands-on skills in at least two of the main themes of the Foundations Lab which include: + Databases and data platforms + RAG, LLMs & AI agents + Distributed system architectures + ML & MLOps. + Cloud & Kubernetes + Large scale data systems Reporting to the Foundations Lab manager, the position enjoys a highly visible role within the organization with opportunities to collaborate closely with leading technology players in the Silicon Valley network. This is a very hands-on role, where the candidate will be expected to lead by owning solutions from inception to delivery. **Responsibilities** Depending on their level of experience, the successful candidate would be expected to contribute in several of the following areas: + Establish and drive thought leadership opportunities related to topics of importance. + Generate innovative ideas, establish new technology development directions, and shape and execute technical projects. + Work with AI engineers to integrate ML solutions in the wider technology landscape. + Maintain state-of-the-art knowledge and contribute to technical discussions and reviews as an expert in related areas of responsibility. + Actively disseminate knowledge via webinars, talks and tutorials for the technical community within SLB. + Work across multiple cross-functional teams in high-visibility roles to prototype end-to-end data and software solutions. + Apply best practices in software design, DevOps, coding, testing, security and automation. + Willingness to provide technical, social, and practical mentorship guidance to others as needed. _The compensation and benefits for this role are listed in compliance with applicable law. We are committed to offering fair and competitive pay aligned with each candidate’s skills, experience, and qualifications, within the designated salary range for the role. Please note that the listed compensation and benefits apply only to successful candidates hired onto a local United States payroll. The anticipated annual salary range for this position is $ 142,400- $213,600._ + MS / Ph.D. in Computer Science, Electrical Engineering, Information Science or similar disciplines. + 15+ years of relevant experience in technical areas related to cloud computing, distributed computing, ML Engineering, natural language processing, database systems, security, data platforms. + Software development best practices. + Experience with cloud environments such as GCP, Azure and AWS. + Strong oral and written communication skills. Company policy is to provide every individual a fair and equal opportunity to seek employment and advancement at the Company without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, citizenship, genetic information, veteran or military status, disability, creed, ancestry, pregnancy (including pregnancy, childbirth and related medical conditions), marital status or any factors protected by federal, state, or local laws. We are an “Equal Opportunity Employer". For more information please, refer to the latest version of "Know Your Rights" poster and the "Pay Transparency Nondiscrimination Poster" located here: https://www.dol.gov/agencies/ofccp/posters. The Company is a VEVRAA Federal Contractor - priority referral Protected Veterans requested.