51 to 75 of 80 Permanent Memory Management Jobs

Strong understanding of embedded hardware & driver concepts. Strong understanding of software and computer architecture concepts. Strong understanding of operating system concepts such as tasks, signals, timers, priorities, deadlocks, stacks, memory management, etc. Experience with JTAG-enabled devices and software debugger, with excellent debugging skills. Desirable : Working knowledge of cryptography and secure protocols. Qualcomm MSM and AMSS development experience. More ❯

driver components to deliver them for most recent Linux kernels and yet-to-be-published Android versions. This involves developing performance-critical driver for GPU hardware, including scheduling and memory management for Linux and Android OSs. You will provide the foundations that will make the Mali GPU implementation of Vulkan, OpenGL and OpenCL simply the best in the More ❯

fully remote AI Engineer. Fresh from securing an impressive seed funding round and backed by one of the world’s leading VCs, they are building an AI-powered financial management platform for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI … AI architecture, ensuring it remains reliable and robust within the financial domain. The role: Evolve and extend intelligent agent systems for advanced decision-making tasks Design and implement dynamic memory architectures to support contextual reasoning Build goal-setting and planning mechanisms that increase agent autonomy and adaptability Optimize LLM prompt strategies and orchestration workflows for high-complexity domains Fine … decisions What you’ll need: 2+ years of experience developing and deploying AI-driven agent systems in production environments 4+ years of professional software engineering experience Deep understanding of memory management and context handling within AI systems Strong proficiency in Python, with additional experience in TypeScript Hands-on experience building RAG pipelines Advanced skills in prompt design and More ❯

fully remote AI Engineer. Fresh from securing an impressive seed funding round and backed by one of the world’s leading VCs, they are building an AI-powered financial management platform for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI … AI architecture, ensuring it remains reliable and robust within the financial domain. The role: Evolve and extend intelligent agent systems for advanced decision-making tasks Design and implement dynamic memory architectures to support contextual reasoning Build goal-setting and planning mechanisms that increase agent autonomy and adaptability Optimize LLM prompt strategies and orchestration workflows for high-complexity domains Fine … decisions What you’ll need: 2+ years of experience developing and deploying AI-driven agent systems in production environments 4+ years of professional software engineering experience Deep understanding of memory management and context handling within AI systems Strong proficiency in Python, with additional experience in TypeScript Hands-on experience building RAG pipelines Advanced skills in prompt design and More ❯

fully remote AI Engineer. Fresh from securing an impressive seed funding round and backed by one of the world’s leading VCs, they are building an AI-powered financial management platform for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI … AI architecture, ensuring it remains reliable and robust within the financial domain. The role: Evolve and extend intelligent agent systems for advanced decision-making tasks Design and implement dynamic memory architectures to support contextual reasoning Build goal-setting and planning mechanisms that increase agent autonomy and adaptability Optimize LLM prompt strategies and orchestration workflows for high-complexity domains Fine … decisions What you’ll need: 2+ years of experience developing and deploying AI-driven agent systems in production environments 4+ years of professional software engineering experience Deep understanding of memory management and context handling within AI systems Strong proficiency in Python, with additional experience in TypeScript Hands-on experience building RAG pipelines Advanced skills in prompt design and More ❯

fully remote AI Engineer. Fresh from securing an impressive seed funding round and backed by one of the world’s leading VCs, they are building an AI-powered financial management platform for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI … AI architecture, ensuring it remains reliable and robust within the financial domain. The role: Evolve and extend intelligent agent systems for advanced decision-making tasks Design and implement dynamic memory architectures to support contextual reasoning Build goal-setting and planning mechanisms that increase agent autonomy and adaptability Optimize LLM prompt strategies and orchestration workflows for high-complexity domains Fine … decisions What you’ll need: 2+ years of experience developing and deploying AI-driven agent systems in production environments 4+ years of professional software engineering experience Deep understanding of memory management and context handling within AI systems Strong proficiency in Python, with additional experience in TypeScript Hands-on experience building RAG pipelines Advanced skills in prompt design and More ❯

fully remote AI Engineer. Fresh from securing an impressive seed funding round and backed by one of the world’s leading VCs, they are building an AI-powered financial management platform for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI … AI architecture, ensuring it remains reliable and robust within the financial domain. The role: Evolve and extend intelligent agent systems for advanced decision-making tasks Design and implement dynamic memory architectures to support contextual reasoning Build goal-setting and planning mechanisms that increase agent autonomy and adaptability Optimize LLM prompt strategies and orchestration workflows for high-complexity domains Fine … decisions What you’ll need: 2+ years of experience developing and deploying AI-driven agent systems in production environments 4+ years of professional software engineering experience Deep understanding of memory management and context handling within AI systems Strong proficiency in Python, with additional experience in TypeScript Hands-on experience building RAG pipelines Advanced skills in prompt design and More ❯

fully remote AI Engineer. Fresh from securing an impressive seed funding round and backed by one of the world’s leading VCs, they are building an AI-powered financial management platform for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI … AI architecture, ensuring it remains reliable and robust within the financial domain. The role: Evolve and extend intelligent agent systems for advanced decision-making tasks Design and implement dynamic memory architectures to support contextual reasoning Build goal-setting and planning mechanisms that increase agent autonomy and adaptability Optimize LLM prompt strategies and orchestration workflows for high-complexity domains Fine … decisions What you’ll need: 2+ years of experience developing and deploying AI-driven agent systems in production environments 4+ years of professional software engineering experience Deep understanding of memory management and context handling within AI systems Strong proficiency in Python, with additional experience in TypeScript Hands-on experience building RAG pipelines Advanced skills in prompt design and More ❯

fully remote AI Engineer. Fresh from securing an impressive seed funding round and backed by one of the world’s leading VCs, they are building an AI-powered financial management platform for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI … AI architecture, ensuring it remains reliable and robust within the financial domain. The role: Evolve and extend intelligent agent systems for advanced decision-making tasks Design and implement dynamic memory architectures to support contextual reasoning Build goal-setting and planning mechanisms that increase agent autonomy and adaptability Optimize LLM prompt strategies and orchestration workflows for high-complexity domains Fine … decisions What you’ll need: 2+ years of experience developing and deploying AI-driven agent systems in production environments 4+ years of professional software engineering experience Deep understanding of memory management and context handling within AI systems Strong proficiency in Python, with additional experience in TypeScript Hands-on experience building RAG pipelines Advanced skills in prompt design and More ❯

fully remote AI Engineer. Fresh from securing an impressive seed funding round and backed by one of the world’s leading VCs, they are building an AI-powered financial management platform for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI … AI architecture, ensuring it remains reliable and robust within the financial domain. The role: Evolve and extend intelligent agent systems for advanced decision-making tasks Design and implement dynamic memory architectures to support contextual reasoning Build goal-setting and planning mechanisms that increase agent autonomy and adaptability Optimize LLM prompt strategies and orchestration workflows for high-complexity domains Fine … decisions What you’ll need: 2+ years of experience developing and deploying AI-driven agent systems in production environments 4+ years of professional software engineering experience Deep understanding of memory management and context handling within AI systems Strong proficiency in Python, with additional experience in TypeScript Hands-on experience building RAG pipelines Advanced skills in prompt design and More ❯

fully remote AI Engineer. Fresh from securing an impressive seed funding round and backed by one of the world’s leading VCs, they are building an AI-powered financial management platform for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI … AI architecture, ensuring it remains reliable and robust within the financial domain. The role: Evolve and extend intelligent agent systems for advanced decision-making tasks Design and implement dynamic memory architectures to support contextual reasoning Build goal-setting and planning mechanisms that increase agent autonomy and adaptability Optimize LLM prompt strategies and orchestration workflows for high-complexity domains Fine … decisions What you’ll need: 2+ years of experience developing and deploying AI-driven agent systems in production environments 4+ years of professional software engineering experience Deep understanding of memory management and context handling within AI systems Strong proficiency in Python, with additional experience in TypeScript Hands-on experience building RAG pipelines Advanced skills in prompt design and More ❯

fully remote AI Engineer. Fresh from securing an impressive seed funding round and backed by one of the world’s leading VCs, they are building an AI-powered financial management platform for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI … AI architecture, ensuring it remains reliable and robust within the financial domain. The role: Evolve and extend intelligent agent systems for advanced decision-making tasks Design and implement dynamic memory architectures to support contextual reasoning Build goal-setting and planning mechanisms that increase agent autonomy and adaptability Optimize LLM prompt strategies and orchestration workflows for high-complexity domains Fine … decisions What you’ll need: 2+ years of experience developing and deploying AI-driven agent systems in production environments 4+ years of professional software engineering experience Deep understanding of memory management and context handling within AI systems Strong proficiency in Python, with additional experience in TypeScript Hands-on experience building RAG pipelines Advanced skills in prompt design and More ❯

various environments, including resource-limited devices and complex multi-modal systems. Your responsibilities include designing robust inference pipelines, establishing performance metrics, and troubleshooting bottlenecks to achieve low-latency, low-memory AI performance in real-world applications. Responsibilities : Design and deploy efficient model serving architectures optimized for diverse environments, including resource-constrained devices. Set and monitor performance targets such as … latency, throughput, and memory usage. Conduct inference testing in simulated and live environments, tracking key performance indicators and documenting results. Prepare high-quality datasets and scenarios for real-world deployment testing, focusing on low-resource devices. Analyze pipeline efficiency, diagnose bottlenecks, and optimize for scalability and reliability. Collaborate with cross-functional teams to integrate optimized frameworks into production, ensuring … related field; PhD preferred, with a strong publication record in AI R&D. Proven experience in kernel and inference optimization on mobile devices, with measurable improvements in latency and memory footprint. Deep understanding of model serving architectures, low-latency techniques, and memory management in resource-constrained environments. Expertise in CPU/GPU kernel development for mobile platforms More ❯

first-party APIs Expertise in MVVM architecture, clean code principles, and common design patterns. Advanced proficiency in SwiftUI, including: Custom components & Cupertino elements View lifecycle & screen orientation handling State management (State, EnvironmentObject, AppStorage, FocusState) Localization and internationalization Deep understanding of Swift, covering: Data structures, protocols, delegates, structs, and enums Memory management, closures, and high-order functions Modern More ❯

LLM Expertise Proficient in working with large language models (LLMs), including prompt engineering, fine-tuning, and evaluation using established AI benchmarking frameworks. Deep understanding of agent orchestration patterns, including memory management, feedback loops, tool use, and human-in-the-loop (HITL) systems. Experience designing and deploying intelligent copilots using Azure AI Studio or Copilot Studio, with a focus … IT experience with 2-3 years of Automation/Agentic-AI Experience with Microsoft 365 Copilot, Copilot connectors, and multi-channel AI deployments. Understanding of conversational UX, agent lifecycle management, and middleware integration. Microsoft certifications such as PL-500, AI-102, or Power Platform Solution Architect. Bachelor's degree in computer science, Engineering, or a related technical discipline. MORE More ❯

C++17/20) with a deep understanding of performance optimisation. Experience with GCC 12 or similar toolchains that support C++20 features. Solid understanding of low-latency systems, multithreading, and memory management. Background in real-time systems, high-frequency trading, or performance-critical applications. If this sounds interesting, please apply for more info More ❯

Description Task Description The System Administrator shall be responsible for providing network management and systems administration to maintain the customer 's High Performance Computing (HPC) infrastructure and HPC development environment Task Required Skills Experience using the Linix CLI Experience developing scripts using Bash/Python Experience performing System Administration including installation, configuration, and support of COTS/GOTS software … report generation Familiar with software frameworks used for searching, monitoring, and analyzing big data such as Splunk and Elastic Stack Experience with Linux configuration regarding Storage, Networking, Load Balancing, Memory Management, VMs, Firewalls, and System Monitoring Experience with corporate STE/STN security compliance policies, procedures, and tools Experience with corporate SSP accreditation processes Experience with IaC (Infrastructure More ❯

on Obj C and Swift programming language (Swift 4/5) Good understanding of COCOA frameworks and it's design patterns. Good understanding of Object-oriented programming. Knowledge on memory management, performance tuning, multithreading, networking etc. Familiarity on using different data stores concept. macOS UI design principles and interface guidelines (Experience using AppKit) Knowledge on threads, GCD. Handling More ❯

free data structures and event-driven architectures for sub-microsecond latency. Integrate with internal risk, compliance, and analytics systems to ensure safe and compliant trading. Optimise CPU cache usage, memory layout, and instruction pipelines for maximum throughput. Collaborate with traders to prototype and deploy new strategies in production with minimal latency overhead. Technical Requirements: Expert-level C++ (C++17/… with deep understanding of memory management, concurrency (lock-free, wait-free), and template metaprogramming. Proven experience in low-latency trading systems, preferably in ETFs, equities, or delta-one products. Strong knowledge of networking protocols (TCP/UDP, FIX, multicast), kernel bypass, and hardware timestamping. Experience with real-time market data processing, order book construction, and tick-to-trade More ❯

reports, and forms; maintaining records, historical records, survey results, reference library of training catalogs, regulations and other miscellaneous publications; establishing and maintaining office functional files and reference files; knowledge management applications e.g., SharePoint and Blackboard. Graduated and have current (within last five years) TRADOC Army Basic Instructor Course (ABIC), Foundation Instructor Facilitator's Course (FIFC), or Common Faculty Development … more years of experience and knowledge in operating system concepts such as processes, threads, context switching, user mode/kernel mode, synchronization, IO, CPU Scheduling and their associated algorithms, memory management, and file systems. An active contributor to an open-source kernel or someone providing these services who has written software that interacts with the Windows kernel would More ❯

systems. Hands-on experience with advanced inference optimisation techniques, such as KVCache, MoE, adaptive batching, or gradient checkpointing. Strong understanding of low-level operating systems concepts, including multi-threading, memory management, and performance tuning. Experience developing APIs using OpenAPI 3.0+ specifications. Knowledge of efficient training and inference evaluation strategies, with demonstrated success in improving model efficiency. In all More ❯

and LangFlow. Implement retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone, FAISS, Chroma, or PostgreSQL. Fine-tune prompts to optimise performance, reliability, and alignment. Design and implement memory modules for short-term and long-term agent behaviours. Deploy models and orchestrate AI systems on cloud platforms such as AWS Bedrock, Google Vertex AI, and Azure AI Studio. … collaboratively with their teams, Google Premier Cloud Partner experience etc Proven track record designing and deploying agentic and generative AI prototypes. Deep understanding of semantic search, vector databases, and memory management strategies. Familiarity with cloud AI tools, observability platforms, and performance optimisation. This is an opportunity to work at the forefront of AI innovation, where your work will More ❯

and LangFlow. Implement retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone, FAISS, Chroma, or PostgreSQL. Fine-tune prompts to optimise performance, reliability, and alignment. Design and implement memory modules for short-term and long-term agent behaviours. Deploy models and orchestrate AI systems on cloud platforms such as AWS Bedrock, Google Vertex AI, and Azure AI Studio. … collaboratively with their teams, Google Premier Cloud Partner experience etc Proven track record designing and deploying agentic and generative AI prototypes. Deep understanding of semantic search, vector databases, and memory management strategies. Familiarity with cloud AI tools, observability platforms, and performance optimisation. This is an opportunity to work at the forefront of AI innovation, where your work will More ❯

Work with the Studio Technical Director and the early team to set-up the project in UE5 Architect and implement foundational game systems (e.g., input, save/load, streaming, memory management, performance profiling, etc.) for a new AAA console title. Collaborate with technical leadership to define the game's technical vision and ensure alignment with project goals. Establish … UE5 (including Gameplay Framework, Blueprints, and Engine subsystems). Proven experience in architecting game systems and leading technical direction on large-scale projects. Strong understanding of console development pipelines, memory/performance constraints, and platform-specific requirements. Excellent debugging, profiling, and optimization skills. Strong communication and leadership skills, with a collaborative mindset. Passion for delivering a world class player … APPLICANTS Please be aware that all applications for roles submitted through our website will be managed by our external recruitment partner, Amiqus. While they will handle the processing and management of your application, your data will remain securely stored within our Applicant Tracking System (ATS). We are committed to protecting your privacy and ensuring the confidentiality of your More ❯

architectural patterns such as MVC and MVVM. Experience working on applications that interface with connected devices or embedded systems (e.g. Bluetooth, IoT). A solid understanding of performance tuning, memory management, and UX principles on iOS. Strong communication and leadership skills, with the ability to drive collaboration across technical and non-technical teams. Offering a competitive salary, state More ❯