Senior Software Engineer - Together Cloud Platform
Together AI · San Francisco
CHECKED 3H AGO
InfrastructureonsiteSenior$160k–$230k
At a glance
Highlights
- Build highly available global AI cloud virtualizing cutting-edge ML hardware.
- Develop distributed GPU scheduling for on-demand Instant Clusters product.
- Build global management plane spanning dozens of data centers worldwide.
What they offer
- Startup equity
- Health insurance
- Flexibility in terms of remote work
Ideal candidate
A seasoned backend engineer with 5+ years building large-scale distributed systems who thrives on hard infrastructure challenges and cares deeply about scalability, reliability, and clean design.
Requirements
- 5+ years building large-scale, fault-tolerant distributed systems and API microservices
- Experience designing and improving efficiency, scalability, and stability of system resources
- Excellent communication skills and ability to write clear design docs
- Experience building and operating high-performance, globally distributed microservices on AWS, Azure, or GCP
- Strong systems knowledge across compute, networking, and storage including concurrency and performant I/O
- Experience developing against and managing PostgreSQL
- Expert-level programmer, Golang preferred, with version control and IaC with CI/CD proficiency
- Experience with Kubernetes and containers preferred
- Experience with data infrastructure such as Kinesis, Airflow, Kafka a plus
- Bachelor's or Master's in Computer Science, Computer Engineering or related field or equivalent experience
- remote policy
- Flexibility in terms of remote work
Lab profile
About Together AI
AI-native cloud for training and inference on large-scale GPU infrastructure for AI apps and agents.
What they build
- AI-native cloud platform
- GPU clusters for training and inference
- Platform for AI applications and agents
Known for
- Operating large-scale GPU fleets
- Automated infrastructure at massive scale
- Multi-site data center deployment
Key facts
- Over 1M developers
- Operates one of the world's largest GPU fleets
- Infrastructure managing tens of thousands of GPUs