Senior Software Engineer, AI (C#, Cloud)

Thomson Reuters is seeking a Senior Software Engineer, AI (C#, Cloud). This role is for someone who has s pecialized experience in machine learning/deep learning domains such as model compression, hardware aware model optimizations, hardware accelerators architecture, GPU/ASIC architecture, machine learning compilers, high performance computing, performance optimizations, numerics or SW/HW co-design.  About the Role As a Senior Software Engineer, AI (C#, Cloud) , you will: Optimize LLMs and ML models for high-performance inference using techniques such as quantization, pruning, distillation, and hardware specific tuning   Deploy and scale inference workloads on GPUs across AWS, Azure, GCP and internal Kubernetes clusters, ensuring predictable performance during peak traffic hours, especially during business hours Implement routing and failover strategies for OpenAI/Anthropic/Vertex AI traffic Integrate models into production grade APIs supporting TR products and enterprise workflows.   Develop highly optimized environment and eliminate performance bottlenecks to reduce latency Collaborate with Platform Engineering teams (Landing Zones, Network, Storage, Compute, AI) to ensure inference workloads align with TR’s cloud native patterns (AWS, Azure, GCP, OCI)   Build and optimize containerized inference pipelines using Kubernetes for large‑scale distributed workloads Ensure compliance with TR’s AI standards for deployment, monitoring, governance, and drift detection Profile inference performance, identify GPU/CPU bottlenecks, and optimize compute utilization across heterogeneous hardware Implement observability and health monitoring for inference pipelines, ensuring reliability of enterprise AI services. Collaborate with platform teams to enhance capacity forecasting for AI workloads Work with Product, Data Science, Architecture, and Enterprise AI teams to onboard new research models into production Collaborates closely with AI engineers to invent new quantization techniques, improve numerical precision, and explore non‑standard architectures. Partner with Cloud Engineers (Azure, AWS, GCP) to develop guardrails and automation that support inference workload. Support the scale out of AI infrastructure during critical releases and global product rollouts. About You You are a potential fit for the role, Senior Software Engineer, AI (C#, Cloud) , if your background includes:  Required Skills & Qualifications   Strong understanding of ML/LLM fundamentals and inference optimization techniques Experience deploying AI workloads to AWS/GCP/Azure and Kubernetes is required Experience with C# is required Hands‑on experience with GPU programming (CUDA preferred), inference runtimes (TensorRT, ONNX Runtime), and deep learning frameworks (PyTorch/TensorFlow)   Proficiency in Python and at least one systems language (C++ strongly preferred for performance critical inference paths)  Familiarity with vector search systems (OpenSearch vectors) and retrieval augmented generation pipelines  Knowledge of distributed systems, microservices, CI/CD, and cloud native architecture   Experience with AI networks, such as CNNs, transformers, and diffusion model architectures, and their performance characteristics  Understanding of GPU, Multithreading and/or other accelerators with vectorized instructions  Specialized experience in one or more of the following machine learning/deep learning domains: Model compression, hardware aware model optimizations, hardware accelerators architecture, GPU/ASIC architecture, machine learning compilers, high performance computing, performance optimizations, numerics and SW/HW co-design.  Preferred Qualifications   3+ years production experience deploying ML/LLM models at scale  Experience in managing GPU fleets or inference clusters across public cloud and container platforms.  Experience supporting enterprise grade AI workloads in regulated or compliance heavy environments. #LI-MW1 New Position: This position is open due to an existing vacancy to support our evolving business needs. What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Makin