76 to 100 of 135 Memory Management Jobs

building trading, pricing, risk, analytics, market data, execution, or financial technology systems. Strong understanding of multi-threaded application design, distributed systems, data structures, algorithms, memory management, and system design. Ability to work directly with Traders, Sales, Quantitative Researchers, and Engineers in a fast-paced front-office environment. Highly ...

Spark (SQL, PySpark, Scala), and Delta Lake.• Deep understanding of Spark execution plans, shuffle optimization, and data partitioning strategies.• Experience tuning job configurations (e.g., memory management, parallelism, caching, adaptive query execution).• Familiarity with orchestration tools: Databricks Workflows, Airflow, or Azure Data Factory.• Proficiency in Python or Scala ...

operational stability. Ability to develop, debug, and maintain code using modern programming languages and database querying languages. Good understanding of Java 17+ fundamentals, concurrency, memory management, and object-oriented programming paradigms with hands-on experience with Spring and server-side frameworks (e.g., Spring Boot) and good API design ...

degree in Computer Science or a closely related field (Bachelor’s or higher), with a strong grasp of core computer science concepts such as memory management, concurrency, and backend development principlesStrong programming skills, supported by several years of professional software engineering experienceExperience with Java, C, C++, or similar ...

demonstrate professional experience of developing using C++ to produce production-grade released code. Including use of modern (C++14 or later) C++ features, such as memory management, multithreading, STL libraries, etc.Able to demonstrate an understanding of design and architecture best practices such as object-orientation, SOLID principals and clean ...

controls for production mobile applications or SDKs. Technical Skills Expert‐level proficiency in Swift Deep understanding of: iOS architecture and internals Entitlements Application lifecycle Memory management Mach‐O binaries Apple Security Frameworks Knowledge of cryptography, secure communications, and authentication mechanisms. Security Expertise Runtime Application Self‐Protection (RASP) Anti ...

building developer tooling and data‐processing workflows Experience building JavaScript or TypeScript frameworks or working on JS virtual machines and runtimes Working knowledge of memory management, threading, concurrency, and debugging Experience improving CI pipelines, including validation and quality gates Familiarity with logging, telemetry concepts, and data quality improvements ...

experience for building developer tooling and data-processing workflowsExperience building JavaScript or TypeScript frameworks or working on JS virtual machines and runtimesWorking knowledge of memory management, threading, concurrency, and debuggingExperience improving CI pipelines, including validation and quality gatesFamiliarity with logging, telemetry concepts, and data quality improvementsAbility to design ...

complex and business‐critical changes, setting the standard for quality, performance, and maintainability.Provide hands‐on expertise in Java‐based systems, including concurrency, performance tuning, memory management, and API design.Non‐Functional Ownership & System PerformanceTake a leading role in defining, implementing, and validating non‐functional requirements, including system latency, throughput … scalability, and reliability.Drive solutions for cloud scaling and capacity management, ensuring the platform performs predictably under variable and peak loads.Provide deep expertise in working with large databases and data stores, including performance optimisation, data access patterns, and operational scaling.Problem Solving & Technical Decision SupportSolve the most complex and ambiguous technical ...

complex and business‐critical changes, setting the standard for quality, performance, and maintainability.Provide hands‐on expertise in Java‐based systems, including concurrency, performance tuning, memory management, and API design.Non‐Functional Ownership & System PerformanceTake a leading role in defining, implementing, and validating non‐functional requirements, including system latency, throughput … scalability, and reliability.Drive solutions for cloud scaling and capacity management, ensuring the platform performs predictably under variable and peak loads.Provide deep expertise in working with large databases and data stores, including performance optimisation, data access patterns, and operational scaling.Problem Solving & Technical Decision SupportSolve the most complex and ambiguous technical ...

deployment infrastructureExperience across the full lifecycle from POC to production — including the hard part: evaluation design, prompt engineering at scale, guardrails, cost optimisation, latency management, and monitoring in live environmentsThe ability to look at a GenAI architecture and immediately identify what will break, what will be too slow, what … will cost too much, and what the team has not thought about yetGenuine familiarity with agentic AI patterns — multi-agent orchestration, tool use, memory management, human-in-the-loop design — and where they succeed and fail in real delivery contextsRequired — Technical LeadershipExperience leading engineering and cross-functional teams ...

Lead Software Engineer at JPMorganChase within the AI and Machine Learning Platform team, you will build and scale AI infrastructure that modernizes traditional infrastructure management and site reliability engineering through applied AI. You will own the reliability, performance, and cost-efficiency of the large language model inference platform … automate remediation to improve platform stability and developer experienceBuild and maintain multi-agent systems with strong orchestration, including planning, coordination, tool-calling, state and memory management, and workflow control where appropriateDrives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality ...

understand their compute challenges and design optimised solutions.Profiling, benchmarking and tuning large-scale training and inference workloads for performance on distributed CPU, GPU and memory-intensive jobs.Developing reference implementations, libraries and tools to improve job efficiency and reliability.Collaborating closely with systems, architecture and platform teams to evolve our compute … frameworks, such as PyTorch.Strong background in data structures, algorithms, and parallel programming on heterogeneous systems.Deep understanding of Linux OS fundamentals, such as as scheduling, memory management, NUMA, networking, and filesystems.Familiarity with profiling and monitoring tools, such as nsys, ncu, eBPF-based tools, and performance counters.Strong communication skills with ...

their compute challenges and design optimised solutions. Profiling, benchmarking and tuning large-scale training and inference workloads for performance on distributed CPU, GPU and memory-intensive jobs. Developing reference implementations, libraries and tools to improve job efficiency and reliability. Collaborating closely with systems, architecture and platform teams to evolve … PyTorch. Strong background in data structures, algorithms, and parallel programming on heterogeneous systems. Deep understanding of Linux OS fundamentals, such as as scheduling, memory management, NUMA, networking, and filesystems. Familiarity with profiling and monitoring tools, such as nsys, ncu, eBPF-based tools, and performance counters. Strong communication skills ...

keen to speak with engineers who have experience in: Modern C++ development Linux application development Embedded Linux environments Software performance optimisation and memory management TCP/IP networking and communications protocols Developing software that interacts with hardware or runs on embedded devices You'll be someone who enjoys ...

Expert-level proficiency in TypeScript, React, HTML5, CSS, and JavaScript (ES6+) Demonstrated experience profiling and optimising high throughput React applications (Web Workers, virtual rendering, memory management) Experience with desktop containers: Chromium, Electron, or OpenFin; familiarity with FDC3 for cross-application interoperability Experience with real-time messaging systems: Kafka ...

Expert-level proficiency in TypeScript, React, HTML5, CSS, and JavaScript (ES6+) Demonstrated experience profiling and optimising high throughput React applications (Web Workers, virtual rendering, memory management) Experience with desktop containers: Chromium, Electron, or OpenFin; familiarity with FDC3 for cross-application interoperability Experience with real-time messaging systems: Kafka ...

/ML systems; strong Python proficiency and backend development expertiseHands-on experience building GenAI apps with LangChain and LangGraph, including agent design, state/memory management, and graph-based orchestration.Proficiency in ML/NLP and generative models; experience with embeddings, vector stores, RAG, and LLM integration/fine ...

/ML systems; strong Python proficiency and backend development expertiseHands-on experience building GenAI apps with LangChain and LangGraph, including agent design, state/memory management, and graph-based orchestration.Proficiency in ML/NLP and generative models; experience with embeddings, vector stores, RAG, and LLM integration/fine ...

track record of building scalable data integration systems (beyond simple ETL jobs)Strong proficiency in Java and the JVM ecosystem, including deep knowledge of memory management, garbage collection tuning, and performance profiling.Solid experience with concurrent programming in Java, including threads, executors, and reactive or asynchronous patterns.Outstanding written ...

using computer vision pipelines on aion's infrastructure Implement sophisticated multi-agent orchestration with(or similar) frameworks like LangChain or LlamaIndex—enabling tool use, memory management, and autonomous task completion Rapidly prototype POCs in 2-4 weeks, coding alongside client teams to validate concepts and iterate based … with Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code Cloud platforms experience with AWS, Azure, or GCP for ML workloads and infrastructure management Exceptional communication ability to explain complex AI concepts clearly to both technical and business stakeholders Customer-facing experience in Solutions Architecture, Technical Account Management ...

with researchers, senior stakeholders and engineers to understand compute challenges and design optimised solutionsProfiling, benchmarking and tuning large-scale workloads across CPU, GPU and memory-intensive jobsDeveloping reference implementations, libraries and tools to improve job efficiency and reliabilityCollaborating with systems, architecture and platform teams to evolve our compute stackInfluencing … scale workloadsProficiency in one or more programming languages, with strong grounding in algorithms and performance optimisationDeep understanding of Linux internals, for example across scheduling, memory management, NUMA, networking and filesystemsExperience with HPC schedulers and Kubernetes workload orchestrationHands-on experience with heterogeneous compute, such as GPUs, multi-core ...

Engineer programme. Key Responsibilities Design and build production-grade agentic systems end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and lifecycle observability Build and own RAG pipelines: embeddings, chunking strategy, vector search, context window engineering and tuning against real quality targets … Integrate and abstract across multiple LLM providers — OpenAI, Anthropic, Vertex AI, and open-source models — with fallback routing, token, cost, and latency management Implement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoring Embed directly with client ...

Engineer programme. Key Responsibilities Design and build production-grade agentic solutions end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and lifecycle observability Build and own RAG pipelines: embeddings, chunking strategy, vector search, context window engineering and tuning against real quality targets … Integrate and abstract across multiple LLM providers — OpenAI, Anthropic, Vertex AI, and open-source models — with fallback routing, token, cost, and latency management Implement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoring Embed directly with client ...

including Vulkan, DirectX, OpenGL ES, and OpenCL. Kernel & Firmware: Work deep in kernel‐mode drivers and GPU firmware to improve hardware control, stability, scheduling, memory management, and execution efficiency. Performance: Identify, analyze, and eliminate bottlenecks across the stack—including driver overhead, memory bandwidth, GPU scheduling, compute throughput … more industry‐standard APIs such as Vulkan, DirectX 12, OpenCL, or OpenGL ES. You understand GPU internals at a deep level, including memory hierarchies, command submission, scheduling, synchronization, pipeline architecture, and performance bottlenecks. You enjoy working across boundaries—from API design to kernel drivers, firmware, compiler interaction, and hardware ...