Senior Software Engineer - Together Cloud Infrastructure
Together AI - San Francisco
Posted Jun 3, 2025
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- $160K-$230K From the posting source checked Jun 20, 2026
- 401(k) match
- Not verified
Was this benefit information wrong? Tell us.
Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
67% above the BLS role benchmark for software engineering aggregate.
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
- Equity
- Offered From the posting source checked Jun 20, 2026
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Software Engineer - Together Cloud Infrastructure San Francisco 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 AI Infrastructure 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 SaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world. Responsibilities - Design, build, and maintain performant, secure, and highly-available backend services/operators that run in our data centers and automate hardware management, such as Infiniband partitioning, in-DC parallel storage provisioning, and VM provisioning. - Design and build out the IaaS software layer for a new GB200 data center with thousands of GPUs. - Work on a global multi-exabyte high-performance object store, serving massive datasets for pretraining. - Build advanced observability stacks for our customers with automated node lifecycle management for fault-tolerant distributed pretraining. - Perform architecture and research work for decentralized AI workloads - Work on the core, open-source Together AI platform - Create services, tools, and developer documentation - Create testing frameworks for robustness and fault-tolerance To be successful, you'll need to be deeply technical and possess excellent communication, collaboration, and
Read the full description at job-boards.greenhouse.io. FewerJobs shows a preview and links to the original posting.
Apply link not verified; last-live date unavailable.
What verified means
Verified means a displayed claim has field-level provenance to a source FewerJobs pulled: a government or employer source, or the original job posting. Posting-sourced facts are employer-stated and are labeled separately from government records.
Related jobs
-
Senior Full Stack AI Engineer
CBIZ INC - Philadelphia, PA, United States
-
Senior AI Platform Engineer
Pennymac Financial Services INC - Carrollton, Texas; Carrollton, Texas
-
Senior Software Engineer - Distributed Systems
Datadog - Boston, Massachusetts, USA; New York, New York, USA
-
Senior Software Engineer, Backend
Union Bankshares INC - Seattle Remote