Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and…

…engineering, or forward deployed engineering projects - Strong proficiency with TypeScript, React, and modern backend architectures - Deep understanding of relational databases (e.g., PostgreSQL), system…

…of professional software engineering experience building backend systems, distributed systems, or platform infrastructure - Strong proficiency with TypeScript, React, and modern backend architectures - Strong understanding…

…You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross…

…Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform…

…Required Qualifications - BS, MS, or PhD in Computer Science, Computer Engineering or related field. - 12+ years building compiler, ML systems, or infrastructure software. - 5…

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

…5 years of experience in a formal engineering technical leadership role, leading software engineering teams. 2 years of experience in LLM training or inference…

…Engineering or Computer Science or equivalent practical experience. Experience in software development, programming in C, C++, script, or Android programming. Experience in AI/ML…

…As a Software Engineering Manager, you will lead the architecture and execution of large-scale ML infrastructure, requiring a deep understanding of Large Language…

…As an ML Agents and Planning Machine Learning Engineer you will work on the bleeding edge of the industry, developing novel machine learning pipelines…

…Expert-level software engineering fundamentals using Python, PyTorch, or JAX, with a track record of building reliable, highly scalable ML systems. Proven ability to…

…Forward Deployed Engineer, Applied AI Engineer, Solutions Architect, ML Engineer with field exposure, or technical founder. - Demonstrated ability to build production software with customers…

…develop, evaluate and deploy, innovative and highly scalable ML models Work closely with software engineering teams to drive real-time model implementations Work closely…

…systems that ensure Amazon's AI is fair, safe, transparent, and compliant with emerging global regulations. We are looking for a Software Development Engineer…

…systems that ensure Amazon's AI is fair, safe, transparent, and compliant with emerging global regulations. We are looking for a Software Development Engineer…

…and software layers - Analyze failure data and trends to identify systemic problems and propose fixes - Work with senior engineers to understand server architecture, GPU…

…credibility with ML researchers and platform engineers. This person should be comfortable reading code, writing examples, building demos, running benchmarks, explaining architecture tradeoffs, profiling…

…Ability to design and influence automated response playbooks using SOAR platforms Practical experience creating reference architectures and patterns for engineering teams. Proven ability to…

…Experience with formal training or certification on software engineering concepts. Strong understanding of SRE principles, including SLIs, SLOs, error budgets, and incident management. Ability…

…including model training and fine-tuning, computer vision pipelines, multimodal systems, and computation optimizations. –Designs and reviews the architecture of ML and AI solutions…

…Forward Deployed Engineer, Applied AI Engineer, Solutions Architect, ML Engineer with field exposure, or technical founder. - Demonstrated ability to build production software with customers…

…Strong foundational knowledge in data queries (SQL or similar), database schemas, and data architecture concepts. AI Fluency: A strong understanding of core AI/ML…

…Set technical direction for the agentic Growth Engine — making architecture decisions on the systems that generate creatives, optimize bids and budgets, and manage audiences…

…on large-scale distributed systems, ML infrastructure, hardware systems, manufacturing, supply chain, data center development, or the physical engineering systems required to bring massive…