Staff, Rust Engineer - Core Infrastructure
Sequen AI · Remote · United States ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Staff level role
- Rust + Tokio
- Fully remote
- AI infrastructure
- Low-latency systems
Join Sequen AI as a Core Systems Engineer to design and optimize the infrastructure powering frontier ranking models. You will build high-performance Rust systems that handle real-time behavioral streams and complex inference logic with ultra-low latency.
This role is central to the company's technical strategy, requiring you to replace bottlenecks with production-grade architectures. You will collaborate with Applied Scientists to scale neural network breakthroughs for enterprise customers.
What you'll do
- Write concurrent, memory-safe Rust code for high-performance production environments
- Optimize model serving infrastructure for ultra-low inference latency under heavy load
- Build low-latency data ingestion systems and microservices for real-time streams
- Design robust backend APIs, SDKs, and caching layers to maximize hardware efficiency
- Migrate data-heavy components from higher-overhead languages to optimized Rust
- Debug distributed system issues like deadlocks and race conditions in cloud environments
- Establish performance benchmarking, regression testing, and real-time monitoring
- Partner with scientists to implement scalable runtime solutions for ranking models
What you'll need
- 6 to 8+ years of experience in software or systems engineering
- Strong professional experience deploying production-grade Rust in high-scale systems
- Deep understanding of Rust ownership, lifetimes, and concurrency models
- Experience with asynchronous runtimes such as Tokio
- Proven ability to build robust backend systems and event-driven architectures
- Skilled in debugging and profiling high-throughput production systems
- Comfortable working with ambiguity and balancing speed with quality
Nice to have
- Experience with AWS, GCP, or Azure cloud platforms
- Knowledge of Docker and Kubernetes for container orchestration
- Background in machine learning inference optimizations or vector search databases
- Experience building large-scale data pipelines
- Previous work in early-stage startups or high-growth technical environments
Stack
- Rust
- Tokio
- AWS
- GCP
- Azure
- Docker
- Kubernetes
How you'll work
- Fully remote position
- Small, highly technical team
- Early-stage company environment