• Design and develop effective learning solutions that address knowledge and/or performance gaps for customers and partners. • Use core instructional design principles and theories to maximize learning and produce impactful results. • Generate scripts, storyboards, and prototypes of training content to be reviewed and approved by key stakeholders. • Leverage various multimedia approaches and authoring tools to create interactive online learning experiences. • Create and update curriculum to be delivered in multiple modalities including online, instructor-led, and virtual instructor-led training. • Ensure course materials meet quality standards and align with writing and style guidelines. • Effectively own content development projects and collaborate with SMEs, curriculum managers and other internal stakeholders, as well as ILT content delivery teams.

Role Description ELT is seeking a qualified and experienced Korean language teacher for a live online program designed for adults. - Program: Live Online Korean - Duration: 30 hours available - Lesson Length: 60-minute lesson, once per week - Availability: Participant is available Saturday and Sunday mornings, KST - Participant Background: Native Russian speaker with B2 proficiency in Korean, looking to polish business Korean related to work in semiconductor manufacturing Qualifications - Minimum Bachelor's degree in a related field - Proven experience teaching language live online - Proven experience in teaching Korean to non-native speakers - Strong understanding of language acquisition and pedagogical methods

• Support the planning and execution of change management and communication strategies and activities in SAP projects (implementation, rollout, upgrade). • Assist in and lead stakeholder analysis, change impact assessments, and readiness evaluations. • Create and maintain project documentation, including communication plans, training materials, and change tracking reports. • Help develop and deliver communications, presentations, and learning materials. • Coordinate and conduct meetings, workshops, and training sessions with stakeholders and project team members. • Support the creation of metrics and reporting tools to monitor adoption and engagement. • Collaborate with project teams to integrate change management into overall project plans. • Contribute to the continuous improvement of OCM methodologies and toolkits at cbs globally.

Role Description You will be a key contributor to our training ecosystem. Your goal is to build the next-generation ML model training platform tailored for a world where compute is no longer constrained by the digital abstraction. You will co-design and implement training systems alongside novel AI models and hardware platforms that push the boundaries of physics-based compute. What You’ll Do - The Model Architectures: Build and maintain highly optimized, model-specific training stacks specifically tuned for state-of-the-art generative vision, language, and world models. - The Training Infrastructure: Design and scale multi-node distributed training systems, implementing elastic sharding and robust data streaming pipelines for fast, large-scale iteration. Implement robust model checkpointing and recovery mechanisms. - Optimization & Benchmarking: Develop and optimize kernels using low-level programming models like CUDA and Triton. Design rigorous benchmarking suites to track Model Flops Utilization (MFU), memory bandwidth, and convergence stability. - Cross-Functional Collaboration: Act as a translator, discussing algorithmic trade-offs with theorists and converting model requirements into concrete specifications for infrastructure and hardware engineering teams. Qualifications - Education: An MS/PhD or equivalent research/project experience in a quantitative field such as AI/Machine Learning, Computer Science, Physics, Electrical Engineering, or Applied Math. - Experience: Veteran of the modern ML software stack. Demonstrated ability to map state-of-the-art AI model architectures (e.g., transformers, Mixture of Experts, diffusion models) to system performance implications. Deep expertise in how models are partitioned across a cluster, with mastery of communication primitives and parallelism strategies. - Software Development: Proven track record of implementing, debugging, and maintaining production-grade training frameworks—such as Megatron-LM, DeepSpeed, Ray, PyTorch Lightning—turning raw compute into a reliable model-building factory. Preferred Qualifications (Nice to Have) - Unconventional Co-Design: A forward-looking perspective on co-designing algorithms for unconventional computing paradigms that map closely to the physics of underlying systems. Benefits - The Mission: Redefine computing for the next 50 years by solving the fundamental energy limitation of AI at a global scale. - The Impact: Shape the company's future as a foundational team member. Enjoy massive ownership and an outsized opportunity to drive change. - The Perks: A comprehensive package including best-in-class health benefits, 401k matching, truly unlimited PTO, and complimentary meals in our Palo Alto office.