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Leads the design and delivery of secure, scalable Java/Spring Boot microservices for UK government digital services, mentoring teams and driving cloud-native best practices.
Builds and maintains data pipelines and a knowledge graph that unify ERP, telemetry, and other systems for a company scaling AI infrastructure.
Fullstack QA engineer at a bank, testing new features manually and automating UI/API tests in Java with Selenium/Selenide/Playwright and RestAssured.
Research Product Manager who acts as PM for AI models—co-designing capabilities with researchers, architecting synthetic data pipelines and simulation environments for reinforcement learning, and running experiments/benchmarks.
Senior Software Engineer at Anza, a Solana R&D lab, working on the Agave client to improve blockchain performance, security, and scalability using Rust or C++.
Designs and enforces AI policy boundaries for conventional weapons use, balancing dual-use risks in modern weapons systems (software, autonomy, etc.). Translates technical threat models into actionable guardrails for AI models like Claude, collaborating with engineering, legal, and external experts.
Own timing methodologies and execution for AI accelerator silicon, using AI-assisted flows to drive physical design to signoff.
Design and sign off physical layouts for AI accelerator chips, using Cadence/Synopsys tools and AI-assisted flows to meet aggressive PPA targets.
Design high-speed, high-power PCB layouts for AI accelerator systems, defining stackups, routing BGAs, and managing power delivery to ensure lab-ready performance.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of…
Design and execute hardware test flows for AI accelerator systems, from packaged units to full systems, ensuring yield and reliability while reducing test time and cost.
Design and execute reliability tests for advanced AI accelerator packages, model failure physics, and predict field lifetime using stress testing and AI-assisted tools.
Develop and secure firmware for AI accelerator systems, including secure boot, BMC/embedded controllers, power management, and telemetry across ARM-based platforms.
Builds and maintains the LLM infrastructure platform to handle 37+ AI models, ensuring reliability, cost efficiency, and low latency for 60k+ daily users and 30B+ monthly tokens. Focuses on provider reliability, caching, routing, and monitoring—no model training or inference ownership.
About the Role We are seeking a visionary and results-driven Senior Director of Enterprise Data & Analytics to serve as a strategic leader and key partner to the business. This senior leadership level role will be…
On-site engineer installs, repairs, and supports medical IT equipment, troubleshoots systems, and trains users in Windows environments.
Senior Business Analyst at FxPro to shape the Invest product, mapping trading workflows and collaborating with cross-functional teams to design and deliver client-facing and internal platform features.
Build and optimize the LLVM backend for a custom AI accelerator ISA, focusing on instruction selection, register allocation, and scheduling across scalar, vector, and floating-point pipelines.
Build and deploy AI systems for construction automation, focusing on multimodal document understanding and agentic workflows to replace manual preconstruction tasks.
Overview Microsoft AI is looking for a Member of Technical Staff, Multimodal Infrastructure to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will…
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