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# Senior HPC Compute Architect

- **Company:** Xcelyst Limited
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £156,000.0 - £208,000.0
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Application Integration Architecture, Batch Processing, C++ (Programming Language), Cloud Computing, Cloud Engineering, Digital Architecture, Memory Management, Protocol Buffers, Performance Tuning, Regression Testing, Google Cloud, Low Latency, Grid Computing
- **Published:** June 5, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=a5454d251d48704c

## About the Role

Do you have experience in gRPC?, * Expert-level C++ (8+ years) within numerical computation, risk engines, or high-performance systems.

 * Strong understanding of SIMD optimization, cache efficiency, memory layouts, and performance tuning.
 * Production Rust experience (3+ years), including:
 * Tokio async runtime
 * Memory management
 * Unsafe Rust
 * FFI integration
 * End-to-end workload optimization

HPC / Grid Computing

 * Distributed compute orchestration and workload scheduling.
 * Large-scale risk batch processing architectures.
 * Cloud-native HPC or Grid Computing frameworks.
 * GCP-based compute optimization and scaling.

Google Cloud Platform

 * GKE batch workloads
 * Compute Engine optimization
 * Cloud Batch or equivalent compute orchestration solutions, * Investment Banking Risk Technology experience.
 * Risk computation engines, pricing engines, sensitivities, and scenario-based risk frameworks.
 * Experience working within Tier-1 investment banks or equivalent environments.
 * Knowledge of Equity Derivatives products including:
 * Options
 * Warrants
 * Equity Finance structures

## Description

This role will own the strategy and design for optimizing a large-scale risk computation stack across both C++ and Rust platforms. The successful candidate will be responsible for architecture definition, performance optimization, validation frameworks, benchmarking methodologies, and extending computation capabilities from End-of-Day (EOD) processing to near-real-time risk calculations., * Define performance optimization architecture across C++ and Rust compute libraries.

 * Design architecture roadmaps with explicit EOD and near-real-time performance targets.
 * Establish benchmarking frameworks, regression testing strategies, and validation criteria.
 * Define technical performance metrics and optimization measurement standards.
 * Lead Proof of Concepts for real-time and intraday compute workloads.
 * Collaborate with Technical Leads on quant library integration and compute interfaces., * CPU and memory profiling using tools such as:
 * perf
 * Intel VTune
 * gprof/gperf
 * Latency analysis and statistical benchmarking methodologies.

Architecture & Integration

 * Near-real-time compute architecture design.
 * Sub-second latency systems.
 * C++/Rust interoperability using:
 * FFI
 * gRPC
 * Protocol Buffers
 * Integration with Java-based systems.


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