Rust Jobs

Work on QRT's HPC Research Platform building an in-house research platform that provides secure, efficient access to compute and data for research teams. Develop and maintain distributed services and APIs to manage job submission, scheduling, security, and observability for large-scale compute pipelines. Collaborate closely with quantitative researchers, platform engineers, and infrastructure teams to improve reliability, performance, and developer experience. Take ownership of complex technical problems and deliver pragmatic, production-ready solutions for compute-heavy environments.

Join a global quantitative firm in London as a Senior Core Developer working primarily with Python and Rust on high-performance infrastructure. You will develop and maintain core systems that support research and trading workflows, focusing on performance, reliability, and scalability. The role is permanent and requires close collaboration with quantitative researchers and engineers to deliver production-grade solutions.

As a Platform Engineer at Barclays you will design, develop and improve platform and business-facing software to deliver scalable, maintainable and secure solutions. You will collaborate with product managers, designers and engineers and be expected to use Rust, GitLab CI/CD, Docker and Kubernetes. Additional valued skills include C/C++ and AWS, and the role may involve setting strategy, advising stakeholders and mentoring others. The position is based in the Prague office and emphasizes secure coding, unit testing and industry best practices.

Senior software engineer role focused on building and owning data infrastructure for a quant investment manager. The role requires strong Rust and C++ development skills and experience with complex data structures, algorithms, multithreading and highly distributed systems processing very large volumes of data. The position is based in London, offers a competitive package (including bonus) and requires onsite attendance during probation.

Senior engineering leader to design, develop, and maintain the next-generation scalable AI platform for BlackRock's Aladdin. The role focuses on Kubernetes and cloud-native infrastructure across AWS/GCP/Azure, building CI/CD and automated pipelines for model training, testing, and deployment, with strong emphasis on security and reliability. Candidates must have production-grade experience in Rust and C++ as well as expertise in containerization, IaC, monitoring, and distributed systems, and will collaborate across multi-office, multi-country teams. This is a New York–based, hybrid role contributing to firm-wide AI platform strategy and execution.

Join a team of quants and developers to completely redevelop pricing analytics, risk management, market data, trade capture and reporting systems. You will design, develop and support high-performance, reliable components using modern languages and quantitative techniques. The role requires strong software engineering skills and familiarity with derivatives, pricing models, risk measures and PnL/hedging considerations. Experience with library design and validation of pricing/risk models is highly desirable.

Work remotely building the orderbook and execution engine for a decentralized exchange in Rust. You'll join a lean, predominantly Europe-based engineering team and should be located within approximately +/-3 hours of UTC. Candidates must have prior experience building a high-performance execution engine in crypto or TradFi and be prepared to complete a Rust-based interview including a take-home assignment. The role is fully remote and does not offer visa sponsorship, so you must have the right to work where you are based.

Join Tower Research Capital's Core Engineering team to build high-performance execution services for the Central Execution Desk, scaling mid-frequency trading capabilities. You will implement and maintain production systems in Rust and Python, collaborate closely with quantitative researchers to productionize prototypes, and build robust data pipelines and telemetry. The role emphasizes low-latency, reliability, and observability in distributed trading environments, with responsibilities spanning algo wheels, smart order routers, and market-data ingestion.

Tower Research Capital seeks a Quantitative Developer to build high-performance execution services (algo wheel, smart order routers, internalisers) in Rust and Python for its Central Execution Desk. The role partners closely with quantitative researchers and traders to turn prototypes into robust, production-ready systems, focusing on market-data ingestion, model training/inference pipelines, and post-trade analytics. You will optimize distributed trading systems for reliability and performance, and establish best practices for observability, testing, and CI/CD. This position supports scaling Tower's mid-frequency trading capabilities in a collaborative research-engineering environment.

Join a well-funded, high-growth technology company building foundational platforms for robotics, autonomy and large-scale sensor data systems. You will design, build and test core software platforms and user interfaces, collaborate with customers and cross-functional teams, and interface with autonomous systems in the field. The role requires strong programming skills in C++, Java, Rust, Go or Python and offers high ownership, a collaborative engineering culture, and meaningful equity.