Senior Software Engineer - Together Cloud Platform
Together AI
Senior Software Engineer - Together Cloud Platform at Together AI is a full time role based in San Francisco, California, United States. It was published on 4 June 2025 and was open at last check.
| Role | Senior Software Engineer - Together Cloud Platform |
|---|---|
| Company | Together AI |
| Location | San Francisco, California, United States |
| Employment type | Full Time |
| Published | 4 June 2025 |
| Status | Open at last check |
About the Role
Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure.
As a Senior Backend Engineer, you will play a key role in building the next generation AI cloud platform – a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs) and enables state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal StaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world.
Some of what you’ll work on:
- Work on a distributed GPU scheduling system for the on-demand clusters product, Instant Clusters.
- Build out a global management plane for managing our data center compute, networking, and storage.
- Design and build new customer-facing cloud platform services, delivering killer enterprise AI cloud features.
Responsibilities
- Identify, design, and develop foundational backend services that power Together’s cloud platform
- Analyze and improve the robustness and scalability of existing distributed systems, APIs, databases, and infrastructure
- Partner with product teams to understand functional requirements and deliver solutions that meet business needs
- Write clear, well-tested, and maintainable software and IaC for both new and existing systems
- Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance
- Participate in an on-call rotation to address critical incidents when necessary
Requirements
- 5+ years of demonstrated experience in building large scale, fault tolerant, distributed systems and API microservices
- Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources
- Excellent communication skills – able to write clear design docs and work effectively with both technical and non-technical team members
- Demonstrated experience with building and operating high-performance and/or globally distributed microservice architectures across one or more cloud providers (AWS, Azure, GCP)
- Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale
- Experience developing against and managing a relational database, such as PostgreSQL
- Expert-level programmer in one or more of programming language (Golang preferred)
- Proficiency in version control practices and integrating IaC with CI/CD pipelines.
- Experience with Kubernetes and containers preferred
- Experience building and operating data infrastructure (Kinesis, Airflow, Kafka, etc) a plus
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.
Compensation
We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy
Create your free OnJob profile to apply — we'll take you to Together AI's application after sign-up. · Posted 4 Jun 2025.
Senior Software Engineer - Together Cloud Platform at Together AI — questions answered
What does the Senior Software Engineer - Together Cloud Platform role at Together AI pay?
Together AI does not publish a salary on this Senior Software Engineer - Together Cloud Platform listing, so OnJob shows no figure for it rather than an estimate. For what this role pays across the market, the OnJob salary guides aggregate the live listings that do disclose pay.
Where is the Senior Software Engineer - Together Cloud Platform role at Together AI based?
Together AI lists this Senior Software Engineer - Together Cloud Platform role in San Francisco, California, United States, advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with Together AI before you apply.
Is the Senior Software Engineer - Together Cloud Platform role at Together AI still open?
The Senior Software Engineer - Together Cloud Platform posting at Together AI was open at OnJob's last check of the employer's careers page, having been published on 4 June 2025. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
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