…Collaborate closely with x-functional teams, including ML researchers, software engineers, data engineers, and hardware engineers, to define requirements and align on architectural decisions…

…This role is for a software engineer in the Distributed Training team for AWS Neuron. This role is responsible for development, enablement and performance…

…high-performing and scalable software for training models. - Develop new tools to support and accelerate research and LLM training. - Coordinate with other engineering teams…

…AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the…

…This dynamic role requires excellent technical and interpersonal skills to analyze, define, implement and optimize AI/ML and HPC software and system solutions at…

…platform improvements QUALIFICATIONS - 5+ years of experience in software engineering, forward deployed engineering, solutions engineering, or similar roles, with a track record of building…

…High-Performance Software Development – Develop high-performance software modules that incorporate planning, decision-making, and behavior execution strategies for dynamic and adversarial environments. Behavior…

P-1439 As a Senior Applied ML/AI Engineer at Databricks, you will apply machine learning and optimization algorithms to improve the usability and…

…optimization systems. Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions Improve system performance across…

…performant applications, systems and infrastructure for large software projects leveraging MongoDB. Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies…

…Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for…

…Collaborate with researchers and ML engineers to resolve bottlenecks in data pipeline performance. Improve runtime goodput of ML training workload, including optimizing input data…

…3+ years of relevant software engineering experience Track record of building and shipping products at scale Ability to thrive in a fast-paced, high…

…software engineering experience, ideally in high-growth, product-focused environments Proven track record of shipping production systems at scale Drive reliability and performance across…

…ML accelerator architectures and dataflow optimization - RTL design and verification (Verilog/SystemVerilog) - Cycle-accurate simulation tools (gem5, SystemC, or custom simulators) - Power and performance…

…You'll dive deep into performance analysis, scrutinizing workloads running on thousands of GPUs to find optimization opportunities that will shape the future design…

…experience) 6+ years of overall experience in developing, debugging and optimizing high-performance software using C++ and parallel programming; ideally for sparse linear algebra…

…Debug and optimize distributed systems, with a focus on reliability and performance under load. Collaborate with ML, product, and infrastructure teams to unblock critical…

…You will shape product direction, drive experimentation, and apply your deep understanding of both AI systems and software engineering to solve open-ended problems…

…As a Machine Learning (ML) Engineer, you will be entrusted with the critical role of innovating and applying innovative research in foundation models to…

…ML systems that will define the way the new AI world consumes information, this is the place for you. As a Web Crawler engineer…

…Front End, QA and Infra engineers to get things done Uphold best practices in code quality, performance optimization, and data management are upheld across…

…This includes everything from designing microservices, optimizing our routing algorithms, understanding road network graphs, building monitoring and analytics infrastructure, optimizing our deployment pipeline, and…

…optimizations to high-level model design Qualifications: Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field Strong software engineering…

…ML models on Cerebras CSX systems. - Work across the stack: model architecture translation, graph lowering, compiler optimizations, runtime integration, and performance tuning. - Debug performance…