Rust Jobs for Rustaceans 
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Showing 121-130 of 158 jobs

Rust Engineer - Trading
Keyrock
Active - posted 13 days ago

Staff Backend Engineer - Pyroscope (Remote, Canada)
Grafana Labs
Active - posted 14 days ago

Software Engineer
Mozilla
Active - posted 15 days ago

Lead Rust Software Engineer
Two Six Technologies
Active - posted 15 days ago

Software Engineer, Compute and Serverless
evroc
Active - posted 17 days ago

Software Development Engineer II
Esri
Active - posted 17 days ago

Cloud Software Engineer
ClickHouse
Active - posted 21 days ago

Software Engineer 3, Atlas Clusters Security
MongoDB
Active - posted 21 days ago

Embedded SW Engineer (Networking)
42dot
Active - posted 21 days ago

OS/Platform Software Engineer (Starlink)
SpaceX
Active - posted 21 days ago

AI Infrastructure Engineer, Model Serving Platform
Scale AI
Active - posted 4 days ago
Job Description
Key Responsibilities:
As a Software Engineer on the ML Infrastructure team, you will design and build platforms for scalable, reliable, and efficient serving of LLMs and AI agents. Our platform powers cutting-edge research and production systems, supporting both internal and external use cases across various environments.
The ideal candidate combines strong ML fundamentals with deep expertise in backend system design. You’ll work in a highly collaborative environment, bridging research and engineering to deliver seamless experiences to our customers and accelerate innovation across the company.
- Build and maintain fault-tolerant, high-performance systems for serving LLMs and agent-based workloads at scale.
- Build an internal platform to empower LLM capability discovery.
- Collaborate with researchers and engineers to integrate and optimize models for production and research use cases.
- Conduct architecture and design reviews to uphold best practices in system design and scalability.
- Develop monitoring and observability solutions to ensure system health and performance.
- Lead projects end-to-end, from requirements gathering to implementation, in a cross-functional environment.
Ideally you'd have:
- 4+ years of experience building large-scale, high-performance backend systems.
- Strong programming skills in one or more languages (e.g., Python, Go, Rust, C++).
- Experience with LLM serving and routing fundamentals (e.g. rate limiting, token streaming, load balancing, budgets, etc.)
- Experience with LLM capabilities and concepts such as reasoning, tool calling, prompt templates, etc.
- Deep understanding of concurrency, memory management, networking, and distributed systems.
- Experience with containers, virtualization, and orchestration tools (e.g., Docker, Kubernetes).
- Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform).
- Proven ability to solve complex problems and work independently in fast-moving environments.
Nice to haves:
- Experience with modern LLM serving frameworks such as vLLM, SGLang, TensorRT-LLM, or text-generation-inference.
- Familiarity with emerging agent frameworks such as OpenHands, Agent2Agent, MCP