Together AI

You'll lead and develop a team of ~10 SRE engineers, partnering with technical leads to shift from manual operations to **automation-first infrastructure**. Your core impact will be reducing toil and building scalable systems that keep Together AI's production running. This is a **high-impact leadership role** where you'll stay hands-on with coding, incident response, and architecture.

You'll design multi-petabyte storage systems for the world's largest AI training and inference workloads. You'll architect high-performance parallel filesystems and object stores, achieving 30-50% cost savings through intelligent tiering. You'll also build **Kubernetes-native storage operators** and **self-service platforms** for automated provisioning.

You'll lead and grow the team responsible for **building isolated compute environments** that power AI code execution across Together's platform. You'll own technical direction while building a high-performing engineering culture. **This hybrid role combines people management with hands-on technical leadership.**

You'll **design and operate** a medallion data warehouse, build **ETL pipelines** with dbt and Airflow, and help **raise data quality** across the org. This early-career role offers **mentorship from experienced engineers** and a path to technical lead.

You'll join Together AI to design and operate a **medallion data warehouse** and **ETL pipelines**. You'll build analytics-ready models with mentorship from experienced engineers. This role offers **high growth potential** into a technical lead while shaping data quality and governance across the org.

You'll **design multi-petabyte storage systems** for world's largest AI training and inference workloads, **architect high-performance parallel filesystems** like WekaFS and Lustre, and drive aggressive cost optimization achieving 30-50% savings. You'll also **build Kubernetes-native storage operators** that enable automated provisioning and multi-tenancy at cluster scale.

You'll work with customers to create business value through **Generative AI applications**. As a trusted advisor, you'll drive adoption of Together AI's platform and directly impact company growth. This role combines deep technical expertise with customer success in a fast-paced, innovative environment.

You'll **found and build the Customer Insights team** at Together AI, creating the **customer-facing visibility layer** for Together Cloud. Your work will **turn fragmented visibility patterns into coherent product foundations**, enabling customers to understand activity, investigate issues, and govern AI workloads with confidence.

You'll manage **break/fix activities** across multiple data centers, acting as the central point for **hardware incidents and vendor coordination**. Your work ensures **maximum uptime and fast issue resolution** for a research-driven AI infrastructure company.

You'll **research frontier agentic AI** and **develop training recipes** for self-learning and long-horizon reasoning. Your work will push the boundaries of what AI agents can reliably accomplish.

You'll dive into **distributed inference** and **compiler-aware optimization** for large foundation models at Together AI. Your work will co-design cross-layer optimizations to **lower cost and latency** of modern AI systems, potentially contributing to influential open-source projects.

You'll develop and optimize **GPU-accelerated kernels** for ML/AI applications, collaborating with modeling and algorithm teams. Your work will enhance the performance and efficiency of **AI systems** while contributing to **open-source research** at a leading AI company.

You'll **build and lead** Together AI's data center operations from the ground up, owning the design, commissioning, and fit-out of white space sites across the US and Asia. Your core impact will be building the break-fix team and operational playbooks that keep high-density GPU workloads running around the clock. This is a **ground-floor builder role** with real ownership and autonomy to shape infrastructure for years to come.

You'll drive the model serving layer for voice workloads at Together AI, optimizing inference for real-time voice agents. You'll profile GPU utilization, design batching strategies for streaming audio, and ensure new model architectures go from research to production quickly. This is a **foundational hire** on a small, high-impact team shaping **voice model serving** for the industry.

You'll be the first line of defense supporting customers building **training, fine-tuning, and inference solutions** with Together AI. You'll dive deep into complex technical challenges, providing swift solutions while serving as a **product expert**. Collaborate closely with product and sales to drive continuous improvement.

You'll **design and build production systems** for the Together AI inference engine, enabling reliability and performance at scale. You'll collaborate with researchers and engineers to bring new features to the world. This role offers the chance to work with **state-of-the-art large language models** and shape the future of AI inference.

You'll own the architecture for Together AI's real-time Voice AI platform, powering production-grade voice agents at scale. You'll set the technical direction for **real-time API primitives**, **autoscaling systems**, and the **multi-provider abstraction layer** that makes this platform uniquely powerful.

You'll own the **real-time API layer** for Together AI's Voice AI platform, building the WebSocket and HTTP APIs that developers use to ship voice experiences. You'll design **autoscaling for latency-sensitive streaming workloads** and ensure reliability for production voice agents handling millions of calls. This is a **foundational hire** on a small, high-impact team defining the infrastructure for voice AI.

You'll act as a trusted technical advisor to strategic customers, helping them build **Generative AI applications** using Together AI's platform. Your core impact is driving customer success and revenue growth through **complex demonstrations and POCs**. This role offers a chance to work with a cutting-edge AI infrastructure company alongside world-class researchers.

You'll build **Together AI's cloud platform** virtualizing cutting-edge ML hardware. Your work **powers self-serve AI cloud services** across dozens of data centers worldwide. This is a **high-impact role shaping the next-gen AI infrastructure**.

You'll **design core backend software components** for the Together AI Sandbox service at a **research-driven AI company**. Your work will **analyze and improve system efficiency, scalability, and stability** while collaborating with product teams. You'll also **participate in on-call rotation** to respond to critical incidents.

You'll work on **advanced post-training methods** for foundation models, conducting research that integrates into products. Your experiments will **drive efficient neural network training** techniques. Past interns published at top conferences like ICML and ICLR.

You'll build the **data layer** for Finance from scratch, creating models, pipelines, and reporting that power decision-making. This role has direct exposure to every part of the Finance organization and **shapes data-driven strategy** as the company scales. You'll work closely with the Data and Commerce engineering team to ensure **reliable, trusted metrics**.

You'll be the first line of defense for customers building training, fine-tuning, and inference solutions with **Together AI**. You'll dive deep into complex technical challenges, providing swift solutions while serving as a **product expert**. Collaborate with product and sales to drive continuous improvement in a fast-paced AI environment.

You'll partner with AI Research and Engineering leadership to scale world-class teams. You'll drive **full-cycle recruiting** for specialized AI talent and build relationships across academia and industry. This role offers a chance to shape **hiring strategy** at a leading AI infrastructure company.

You'll define Together AI's global data center strategy, owning site selection, vendor negotiations, and technical diligence. You'll **evaluate colocation and power deals** while balancing cost, risk, and speed across regions. This role uniquely blends **technical depth in power and cooling** with commercial negotiation at an AI infrastructure leader.

You'll **lead a cloud platform engineering team** building the **AI Acceleration Cloud** at Together AI. Your impact spans from distributed GPU scheduling to global management plane design. This role offers the chance to shape cutting-edge AI infrastructure across dozens of data centers.

You'll be the analytical backbone of the Infrastructure Strategy team, owning research, benchmarking, and decision frameworks for **compute infrastructure sourcing** and **deployment at scale**. You'll translate complex operational data into actionable recommendations for leadership, driving **cost optimization** and strategic decisions.

You'll build and run infrastructure powering **large-scale AI services** at a **research-driven AI company**. Your work ensures reliability and scalability for millions of users, contributing to open-source advancements like **FlashAttention**.

You'll design and develop distributed inference engines for LLMs and multimodal models at **Together AI**, optimizing for low-latency and high-throughput. You'll push the boundaries of performance and cost-efficiency through **software-hardware co-design** and GPU optimizations. This is a unique chance to shape the future of AI inference infrastructure.

You'll build a **container platform** optimizing autoscaling and minimizing cold starts for custom AI models. Your work will directly impact **end-to-end model performance** and **developer experience** through robust tooling. This role combines ML performance expertise with deep infrastructure engineering.

You'll join the Data Platform team to build backend services and **data products** that power data movement across the company. You'll create **self-serve platform primitives** like event streams, access layers, and APIs. And you'll work on **LLM-adjacent services** such as prompt categorization and enrichment.

You'll build the inference platform that powers advanced generative AI models at scale. You'll optimize latency and resource utilization across thousands of GPUs, working with research teams to bring frontier models into production. You'll contribute to open-source projects like SGLang and vLLM, shaping the tools that advance the industry.

You'll build the next-generation AI cloud platform, virtualizing cutting-edge ML hardware across global data centers. Your work will enable **self-serve AI cloud services** and power **state-of-the-art ML practitioners**. You'll contribute to open-source projects and shape the future of decentralized AI.

You'll drive the **model serving layer for voice workloads** at Together AI, optimizing inference for models like Whisper and Parakeet on cutting-edge hardware. You'll **own the voice inference roadmap** and shape the architecture for real-time speech-to-text, text-to-speech, and speech-to-speech systems. This is a foundational role on a small, high-impact team pushing the frontier of **voice AI latency and throughput**.

You'll **define, build, and scale** the core systems powering Together AI's mission-critical cloud control-plane APIs. In partnership with infrastructure and product teams, you'll **drive the evolution** from a monolithic Next.js API layer to **purpose-built, scalable platforms** optimized for diverse traffic patterns. This hands-on role offers the chance to shape the API strategy for a rapidly growing AI Cloud.

You'll join Together AI to build the next-generation AI cloud platform, virtualizing cutting-edge ML hardware across global data centers. You'll design and operate high-performance infrastructure services, enabling state-of-the-art AI workloads at massive scale. This role offers the chance to shape the future of AI infrastructure with a research-driven team.

You'll serve as the **named technical owner** for a strategic enterprise relationship at **Together AI**, bridging infrastructure expertise and customer partnership. You'll drive operational health of large-scale GPU deployments across compute, networking, storage, and facilities. This role is critical for both customer success and company growth.

You'll develop and optimize **GPU-accelerated kernels** for ML/AI applications at Together AI. Your core impact will be co-designing **GPU kernels and model architecture** to boost performance and efficiency. You'll collaborate across hardware and software teams to advance **next-generation AI infrastructure**.

You'll own product positioning and GTM strategy for Together AI, a fast-growing AI cloud platform. **Your work will drive adoption** across key product launches and **shape messaging** across all channels. You'll lead and scale a high-performing PMM team in a **frontier AI company**.

You'll shape AI development tools for technical users, owning complex UX initiatives from concept to high-fidelity prototypes. You'll partner with engineering, product, and research to drive design strategy and evolve our design system. This role offers the chance to lay design foundations for a growing organization while working on cutting-edge **AI infrastructure**.

You'll manage **critical data center builds** for a leading AI infrastructure company, coordinating projects from contract negotiation through commissioning and fit-out. Your core impact will be ensuring these high-density AI compute environments are delivered on time and budget.

You'll own the systems and tooling that empower engineers to ship high-quality software faster. You'll **optimize workflows**, enhance testing, and enable **reliable CI/CD pipelines**. Your work directly impacts release velocity and developer happiness.

You'll design and maintain high-performance network infrastructure for AI systems at Together AI. Your work will directly impact **scalability and reliability** of production services. Join a **research-driven team** building next-generation AI infrastructure.

You'll own the **design of whitespace environments** for high-density AI GPU clusters. Your core impact will be ensuring rack layouts, power, cooling, and cabling meet scale requirements. This role on a high-accountability team directly shapes **capacity deployment**.

You'll keep user-facing services and production systems running smoothly at **Together AI**. You'll apply engineering principles and automation to ensure reliability and scalability. Your work will directly impact the growth of next-generation AI infrastructure.

You'll be the first line of defense for customers building **AI training and inference solutions** on GPU clusters. You'll dive into complex technical challenges, providing swift solutions while collaborating with **product and engineering teams**. This role offers the chance to shape the roadmap of a **pioneering AI company**.

You'll own end-to-end accounting for **fixed assets, CIP, and leases** supporting our AI infrastructure, building scalable processes for a rapidly growing company. Your core impact will be ensuring accurate financial reporting and compliance while partnering cross-functionally to drive automation. This role offers a chance to shape the accounting department at a leader in open-source AI.

You'll partner with engineering leaders to drive hiring for diverse roles across our **AI Acceleration Cloud** platform. Your core impact will be managing the candidate journey from sourcing to offer, shaping hiring strategies with **data-driven insights**, and ensuring an exceptional experience. This role offers a chance to scale hiring for a **high-growth AI startup** with cutting-edge technology.

You'll own the **Product UI Platform** that powers full-stack features across our web surface. Your core impact will be evolving the monolithic architecture into a **scalable, modular platform**. You'll partner with Backend and API Platform leaders to drive cohesive architectural evolution.

You'll **define and build the data infrastructure** for a rapidly scaling AI company handling millions of events daily. Your work will power **usage-based billing, real-time analytics, and internal BI tools**. This role offers the chance to shape a **foundational data platform** from the ground up.

You'll partner with strategic AI model builders as a deep-domain specialist in **large-scale GPU clusters**, ensuring their infrastructure is optimized for multi-node training. You'll directly impact company growth by **hardening our core platform** through rigorous testing and tailored optimization. This role stands out for its direct influence on cutting-edge AI infrastructure.

You'll drive **cross-functional excellence** by streamlining workflows for a pioneering AI infrastructure company. Your role ensures global GPU resources operate efficiently, enabling cutting-edge AI advancements. You'll join top engineers to shape the future of AI infrastructure.

You'll **design and iterate on novel speculator algorithms** bridging research and production deployment for generative AI models. Your work directly impacts customer success through **fine-tuning models on curated data**. Collaborate with experts in a fast-paced, high-impact role at the cutting edge of AI.

You'll be the first line of defense supporting customers building **training, fine-tuning, and inference solutions** on Together AI's platform. You'll dive deep into complex technical challenges with **Kubernetes GPU clusters** and collaborate with product and sales teams to drive improvements.

You'll **develop systems and APIs** for inference and fine-tuning LLMs at Together AI. You'll enable **reliability and performance at scale** for the Together Cloud inference and fine-tuning APIs. This role combines **systems engineering and AI/ML expertise** in a research-driven environment.

You'll push the frontier of efficient inference and RL-driven training for Together's API, working across algorithms, engines, and production systems. Your core impact is making models faster and cheaper while improving capabilities through RL-based post-training. This role uniquely blends **deep RL and inference systems expertise** with **full-stack ownership** from kernels to serving stacks.

You'll **translate new RL algorithms and inference optimizations** into production-grade systems powering Together's API. Your core impact is **shipping measurable improvements in latency, throughput, cost, and model quality** at scale. This role sits at the intersection of efficient inference and RL/post-training systems, building and operating the infrastructure behind the API.

You'll own the technical vision and architecture for our **commerce platform** powering Together Cloud's usage-based billing, payments, and analytics. Your work will **directly impact revenue and customer experience** while mentoring engineers and driving cross-functional alignment with product, finance, and go-to-market teams. This role offers the chance to **shape monetization infrastructure** at a leading AI research company.

You'll architect Together AI's model library, negotiating creative deals with leading model builders. Your work will directly shape the AI building blocks available to developers. This high-impact role sits at the intersection of Product, Finance, and Marketing.

You'll be a hands-on technical partner to strategic customers, optimizing inference and post-training pipelines for **production AI teams** at scale. Your core impact is driving successful POCs and platform adoption through deep-domain expertise in **inference optimization** and **fine-tuning workflows**. This role uniquely combines engineering, customer success, and product feedback loops to shape both the platform and model roadmap.

You'll own the end-to-end node lifecycle for **one of the most demanding GPU fleets** in the industry, driving cross-functional resolution for failures, repairs, and re-integration. Your core impact will be making fleet operations more visible and accountable through **dashboards and process improvements**. This role offers a chance to solve genuinely novel problems alongside frontier engineers.