Together AI

Senior Backend Engineer, Inference Platform

San Francisco · Senior · Full-time

Sponsorship not specified$160k-$250kDetected 11 days ago

PythonGoRustDistributed SystemsAlgorithmsKubernetesMachine LearningLLMsDesign SystemsLoad BalancingResearch

About the role

Our platform powers multi-tenant serverless workloads and dedicated endpoints, enabling developers, enterprises, and researchers to harness the latest LLMs, multimodal models, image, audio, video, and speech models at scale.
If you get a thrill from optimizing latency down to the last millisecond, this is your playground.
You'll work hands-on with tens of thousands of GPUs (H100s, H200s, GB200s, and beyond), figuring out how to fully utilize every FLOP and every gigabyte of memory.

Build and optimize global and local request routing, ensuring low-latency load balancing across data centers and model engine pods.
Develop auto-scaling systems to dynamically allocate resources and meet strict SLOs across dozens of data centers.
Design systems for multi-tenant traffic shaping, tuning both resource allocation and request handling - including smart rate limiting and regulation - to ensure fairness and consistent experience across all users.
Optimize prefix caching to reduce model compute and speed up responses.
Collaborate with ML researchers to bring new model architectures into production at scale.
Continuously profile and analyze system-level performance to identify bottlenecks and implement optimizations.
You'll collaborate directly with research teams to bring frontier models into production, making breakthroughs usable in the real world.
Partner with world-class researchers to bring new model architectures into production.

Knowledge of modern LLMs and generative models and how they are served in production is a plus.
Experience working with the open source ecosystem around inference is highly valuable
familiarity with SGLang, vLLM, or NVIDIA Dynamo will be especially handy.
Experience with Kubernetes or container orchestration is a strong plus.
Familiarity with GPU software stacks (CUDA, Triton, NCCL) and HPC technologies (InfiniBand, NVLink, MPI) is a plus.
Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience.

We offer competitive compensation, startup equity, health insurance and other competitive benefits.
The US base salary range for this full-time position is: $160,000 - $250,000 + equity + benefits.
Our salary ranges are determined by location, level and role.
Individual compensation will be determined by experience, skills, and job-related knowledge.

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.

t 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

This listing is sourced directly from Together AI's careers page and normalized into a canonical job model.