Title: High Performance / Distributed Systems Engineer
Location: Remote – United States
Department: Engineering
Employment Type: Full-Time, Exempt
This role focuses on building foundational components that support TWG’s platform, where systems, tooling, and distributed infrastructure intersect to support AI and high-performance computing (HPC). The position involves contributing to core systems, refining architecture, and improving tooling, performance, and reliability. The work emphasizes development of scalable computing systems that align AI and HPC workloads while considering efficiency and resource usage.
Responsibilities
- Develop and support core system components according to defined specifications and guidelines
- Write clean, maintainable, resilient, and well-tested code
- Contribute to debugging, testing, and improving overall system behavior
- Follow established development methodologies and coding standards
- Contribute to systems written in Rust and related languages
- Work on system-level concerns such as scheduling, data placement, memory management, I/O efficiency, and storage hierarchy
- Design and implement secure, reliable solutions aligned with system architecture
- Work independently while aligning with broader system design goals
- Propose solutions at both specification and implementation levels
- Collaborate with engineers on system design, tooling, and infrastructure
- Build knowledge of distributed systems, tooling, and platform infrastructure over time
Requirements
- Experience with or interest in Rust (or system-level programming in languages such as C)
- Exposure to systems-level concepts such as operating systems, compilers, or low-level performance considerations, or willingness to learn
- Ability to work within an existing architecture and contribute high-quality components
- Ability to operate independently while collaborating with a broader team
- Interest in understanding system behavior at a low level
- Interest in developing skills in systems, tooling, or distributed engineering
Additional Experience (Preferred):
- Exposure to operating systems internals, compiler design, or language runtimes
- Experience with HPC environments
- Experience with concurrency, memory management, or performance optimization
- Familiarity with distributed systems concepts
- Experience contributing to developer tooling or internal platforms