Rust Software Engineer - Distributed Systems

Alignerr; New York (NY); On-site; USD 140,000 - 170,000; Full time

Job summary

Alignerr is seeking a seasoned Rust engineer to design, build, and optimize high-performance Rust systems used in AI data pipelines and evaluation workflows. You will collaborate with cross-functional teams to improve existing production Rust codebases and implement robust fixes.

The ideal candidate has 3-5+ years of production-grade Rust experience and a strong background in distributed services, with proven ability to debug concurrency issues and communicate effectively across teams.

Qualifications

• 3-5+ years of production-grade Rust experience.
• Strong background in building distributed services.
• Experience debugging concurrency issues and clear communication skills are required.

Responsibilities

• Design, build, and optimize high-performance Rust systems for AI data pipelines and evaluation workflows.
• Collaborate with teams to improve existing production Rust codebases and implement robust fixes.

Skills

Rust

Distributed Systems

Concurrency

Data Pipelines

Backend Services

Data Annotation

Quality Control

Model Training

Evaluation Systems

Debugging

RPC Frameworks

Async Instrumentation

Tracing Tools

Communication

Collaboration

Scalability

Job description

Design, build, and optimize high-performance Rust systems for AI data pipelines and evaluation workflows. Collaborate with teams to improve existing production Rust codebases and implement robust fixes.

Requirements: Candidates should have 3-5+ years of experience in production-grade Rust and a strong background in building distributed services. Experience with debugging concurrency issues and clear communication skills are also required.

Key Skills:

• Rust
• Distributed Systems
• Concurrency
• Data Pipelines
• Backend Services
• Data Annotation
• Quality Control
• Model Training
• Evaluation Systems
• Debugging
• RPC Frameworks
• Async Instrumentation
• Tracing Tools
• Communication
• Collaboration
• Scalability