Hudson River Trading★4.5 (2)· London

You will write and maintain critical trading infrastructure using C/C++ or Python on Linux, working closely with engineers who design trading algorithms in a fast-paced, real-time environment. The role is with Hudson River Trading, a firm that brings a scientific approach to trading financial products.

Design, build, and optimize large-scale HPC/AI infrastructure using GPU optimization (CUDA, NCCL, GPUDirect RDMA, NVLink). You'll work with triple-digit petabyte-scale storage and massive CPU/GPU clusters, using Python, C/C++, and Linux in globally distributed data centers. This role covers HPC cluster design, performance tuning, and automation for thousands of nodes.

Manage a team of test and DevOps engineers building CI/CD, Yocto-based embedded Linux, test automation, and cloud infrastructure (Python, C/C++, AWS/GCP/Azure) for non-invasive neuromonitoring medical devices.

Lead a team of test and DevOps engineers owning CI/CD, Yocto-based embedded Linux, and test automation infrastructure. The role uses Python, C/C++, infrastructure-as-code (Terraform, CDK), and cloud platforms (AWS/GCP/Azure) for a non-invasive neuromonitoring medical device company.

Amazon★3.5 (56k)· London

You will architect and build a real-time middleware and runtime platform using Rust, C/C++, or Python, integrating industrial protocols like IEC 61131-3, EtherCAT, PROFINET, Modbus, OPC-UA, and IO-Link. This platform powers the industrial control systems across AWS Data Centers, connecting industrial hardware to cloud services. As the technical lead, you will own the platform’s architecture, set multi-quarter strategy, and mentor junior and mid-level SDEs.

Apple★4.1 (14k)· London

Work with GPU architectures, C/C++, Python, and GPU APIs like Metal, CUDA, Vulkan or DX12. You will develop GPU workloads, automated flows, and tools for verifying Apple silicon graphics processors, supporting teams in pre- and post-silicon design bring-up.

Lead Software Engineer roles using Golang, Rust, C, Kubernetes, Linux, and Cloud Native technologies to build distributed systems. The team develops Greenfield code for a sustainable cloud native platform, disrupting the cloud industry.

Bloomberg★3.8 (1.1k)· London

Work with C++, Python, and Linux/Unix on the Ticker Plant team, which builds a real-time market data system processing billions of financial events daily. The SRE team focuses on the system’s correctness, performance, and availability through code, design, and analysis.

You will design and build the agent sandboxing platform using Go or Rust, working with containerization (Docker, Firecracker, gVisor) and virtualization technologies on Linux. The team provides a secure, high-performance code execution layer for agentic workflows deployed across internal and customer-managed environments.

Amazon★3.5 (56k)· London

You will work with Rust, C/C++, Python, industrial protocols (IEC 61131-3, EtherCAT, PROFINET, Modbus, OPC-UA, IO-Link), and real-time middleware like DDS/Zenoh

Man Group★3.6 (14)· London

Lead development of Man Group’s core Python compute platform, working with Kubernetes, Spark, Hadoop Yarn, Ray, and Airflow on Linux for systematic and discretionary investment strategies. You will build the research platform and APIs for researchers and developers.

Cint★3.5 (13)· London

Design, implement, and scale backend systems processing large volumes of data using Java, Python, PySpark, Spark, Kafka, Avro, Docker, SQL, and NoSQL databases. You will work on event-driven and API-based integrations, contributing to a domain-based architecture for Cint’s digital survey research platform. The role is on the international Data Solutions & Measurement team, collaborating across three engineering teams.

You'll work with Python, CUDA, C/C++, NCCL, GPUDirect RDMA, NVLink, and configuration management tools (Salt, Ansible) to design and optimize large-scale GPU clusters. This supports a top algorithmic trading firm's sophisticated HPC/AI research environment, with the team managing global trading infrastructure including petabyte-scale storage and massive CPU/GPU clusters.

You will write C/C++ and Python to build audio validation tools, automated pipelines, and regression-detection systems for the PlayStation SDK. The SDK Quality Engineering team focuses on low-level audio libraries and runtime features used by PlayStation game developers.

Work with C/C++, PyTorch, JAX, and distributed inference stacks (vLLM, SGLang, NVIDIA Dynamo, TensorRT-LLM) to own the runtime and serving stack for the DX-1 accelerator, a dataflow architecture for decode deployed in a disaggregated inference environment. The role scales inference across many accelerators and drives bring-up on simulation, emulation, FPGA, and ASIC.

Apple★4.1 (14k)· London

You will design and ship Swift frameworks and XPC services that form the on-device client side of Apple's privacy-preserving cloud inference platform, using Protocol Buffers, async/await, GCD, and Instruments for profiling. Your code handles every Apple Intelligence and Foundation Models request before it leaves iPhone, iPad, Mac, or Vision Pro.

Work with C#, .NET (WinForms, WPF), C, C++, interop (P/Invoke, C++/CLI), Git, CMake, and MSBuild to develop the SDK Manager Windows Application. You will join the game integration platform (Partners Platform) to improve delivery and integration of PlayStation SDK components for game developers.

JPMorgan★3.9 (20k)· London

Lead a team building JPMorgan's Risk Data Platform using Java, Python, Kafka, Redis, Airflow, and observability tools like Dynatrace and Splunk. Design and enhance large-scale enterprise data engineering solutions supporting corporate risk technology, while driving adoption of AI-assisted development practices and fostering engineering communities of practice across the organization.

Nebius★0.0· London

You'll work with GPU computing, InfiniBand networking, KVM/QEMU virtualization, Kubernetes, and Linux kernel systems, using C/C++, Go, or Python. The GPU & InfiniBand team optimizes Nebius's hyperscaler cloud platform for AI workloads, focusing on performance tuning, hardware integration, and infrastructure automation across multi-GPU HPC environments. You'll troubleshoot root causes, enhance monitoring automation, and configure device fabrics to support new GPU hardware at scale.

Apple★4.1 (14k)· London

You'll work on kernel-level virtualization support, Apple's Hypervisor and Virtualization frameworks, and device emulation using C/C++, with knowledge of Armv8/Armv9 architectures and Arm assembly. The Virtualization team builds foundational technologies enabling diverse operating systems to run reliably on Mac while integrating with hardware-software co-design across Apple's ecosystem.

JPMorgan★3.9 (20k)· London

Senior Lead Software Engineer who develops and maintains KDB+/Q applications for JPMorgan's Data Analytics team, handling large-scale cross-asset market data storage for real-time and historical access while migrating to AWS and re-architecting systems. Requires 7+ years professional KDB experience with 2+ years in a lead role, expertise in KDB+tick design, query optimization, scaling and high-availability architecture. Lead team members on requirements capture, design, development, testing, and continuous improvement of coding standards using agile methodologies.

JPMorgan★3.9 (20k)· London

You'll work with Java, Python, Kafka, Redis, Airflow, Spark/PySpark, Snowflake, Databricks, and observability tools like Dynatrace and Splunk to design and build large-scale data engineering solutions for JPMorgan's Corporate Risk Technology Data Platform & Strategy team. This senior lead role involves architecting secure, scalable data platforms, leading technical strategy across teams, and driving innovation in enterprise data systems while fostering team culture and assessing external vendors.

JPMorgan★3.9 (20k)· London

You'll develop ultra-low-latency C++ trading solutions using FPGA hardware acceleration on Unix/Linux platforms, integrating hardware pipelines with software stacks for market gateway and risk management systems. The Electronic Trading Technology team at JPMorgan Chase builds market-leading solutions powering high-speed trading across global markets, requiring deep expertise in multithreading, TCP/IP networking, and hardware-software integration.

You'll work with Python (NumPy, SciPy, Pandas, PyTorch, JAX), C/C++, distributed computing frameworks (Spark, Dask, MPI, OpenMP, CUDA), cloud platforms (AWS, Azure, GCP), Docker, and Kubernetes to design, build, and optimize machine learning models—especially deep learning and foundation models—for PhysicsX's AI-driven simulation software stack serving aerospace, materials, energy, and automotive industries. In this research leadership role, you'll shape team strategy, set technical direction for work-streams, mentor junior engineers, and translate prototype models into production implementations at scale.

PhysicsX builds AI-driven simulation software for engineering and manufacturing across aerospace, materials, energy, semiconductors, and automotive. You'll design and optimize machine learning models using Python (PyTorch, JAX), distributed training frameworks (Spark, Dask), cloud platforms (AWS, Azure, GCP), and C/C++ for scientific computing, working with research scientists to scale foundation models and translate prototypes into production libraries and tools.