Rust Software Engineer Jobs

Build foundational search-engine infrastructure at Perplexity, focusing on indexing pipelines, data processing, storage formats, and retrieval systems operating at the scale of billions of pages. This systems-focused role combines low-level performance optimization with distributed, high-load production engineering.

Build the internal platform and tooling that helps Cloudflare engineering teams measure service reliability at massive scale. You’ll develop distributed systems for reliability testing, availability reporting, and SLI/SLO measurement.

Lead the architecture and development of Snowflake’s Agentic Harness and agent evaluation platform, taking production-grade LLM applications from prototype to dependable enterprise value. This staff-level role combines agent infrastructure, evaluation, distributed systems, and hands-on technical leadership.

Senior software engineer responsible for developing and maintaining FICC Pricing Applications, with a strong focus on Java back-end development, full-stack delivery, and DevOps ownership. The role partners closely with business stakeholders and technical teams to automate, improve platform performance, and deliver reliable solutions.

Build VirtSat, Amazon Leo’s virtual satellite simulation platform, at the intersection of cloud infrastructure, embedded Linux, and satellite operations. You’ll develop virtualization, emulation, provisioning, and networking software used to test satellite releases before launch.

Build the virtualization and emulation platform that enables Amazon Leo teams to develop, provision, and test virtual satellites and related systems before launch. This embedded systems role spans Linux systems programming, cloud infrastructure, hardware emulation, and satellite operations.

Build and operate highly available backend services for Salesforce’s core Secrets product, with a focus on distributed systems, cryptography, zero-trust identity, and secure secret delivery. The role combines hands-on software development with architecture, production operations, mentoring, and AI-first engineering practices.

Build and operate the distributed dataset infrastructure powering Meta’s largest AI training runs across regions and clouds. You’ll own high-throughput storage paths, lifecycle correctness, production reliability, and performance for systems used by major model programs.