StripedHyena ↗
Official project, model family or research program. Follow the source for versions, releases and terms.
◎ San Francisco, United States
Together AI develops StripedHyena models.
Official project, model family or research program. Follow the source for versions, releases and terms.
Michael Poli, Stefano Massaroli, Eric Nguyen, Daniel Y. Fu, Tri Dao
Stefano Massaroli, Michael Poli, Daniel Y. Fu, Hermann Kumbong, Rom N. Parnichkun
Roles are tied to the linked sources. Paper authors are credited as contributors, which does not establish current employment.
Browse the institution’s own website for its latest presentations and demonstrations.
This role involves owning the production reliability of a Kubernetes-native GPU inference fleet, including managing the provisioning state machine and extending automated self-healing systems. Candidates must have hands-on experience with large-scale distributed systems, InfiniBand/RDMA troubleshooting, and Kubernetes controller/CRD patterns.
This role involves owning the production reliability of a Kubernetes-native control plane for a GPU inference fleet. Candidates must have hands-on experience with distributed systems, InfiniBand/RDMA troubleshooting, and Kubernetes controller patterns.
The role involves building a Kubernetes-native control plane and self-service API to provision and manage a GPU inference fleet. Candidates must have experience with Go, Python, or Rust, durable workflow orchestration, and event-driven systems.
The role involves designing and building automation systems for a large GPU fleet used in frontier model training and inference. Candidates must have strong software engineering skills and experience with distributed systems, infrastructure platforms, or large-scale backend software.
The role involves building and operating large-scale GPU fleet automation systems for AI training and inference. Candidates must have 3+ years of experience in distributed systems and strong software engineering skills in Python, Go, or Rust.
The role involves building and operating large-scale GPU fleets for frontier model training and inference. Candidates must have 3+ years of experience in distributed systems and strong software engineering skills in Python, Go, or Rust.
The Associate, Infrastructure Strategy & Operations role supports the Infrastructure Strategy team with research, benchmarking, and operational analysis for capacity planning and compute sourcing. Candidates must have 3+ years of experience in consulting or operations, strong quantitative skills, and proficiency in Excel, SQL, or data visualization tools.
The Commercial Counsel role supports enterprise customer and partnership deals by negotiating commercial agreements, managing risk, and advising Sales and Partnerships teams. Candidates must have a JD, active bar license, and at least five years of experience in commercial and technology transactions, with strong knowledge of data privacy and security terms.
The Customer Success Engineer serves as the technical owner for a strategic customer, managing infrastructure across compute, networking, storage, and facilities. The role requires five years of customer-facing technical experience and deep expertise in GPU infrastructure and large-scale Ethernet or InfiniBand fabric architecture.
The Data Center Operations Coordinator manages break/fix activities, ticket queues, and vendor dispatches across multiple data centers. The role requires experience in data center operations, hardware support, and ticketing systems to ensure SLA compliance and uptime.
The Director of Brand will lead brand marketing at Together AI, creating narratives and executing campaigns to build brand awareness. The role requires 5+ years of experience leading brand teams and managing budgets in B2B marketing.
The Director of Investor Relations at Together AI will own investor relationships and build the company's investment narrative while managing board reporting and long-range planning. The role requires a background in equity capital markets, strong financial modeling skills, and the ability to communicate complex technical and financial concepts to investors.
The role involves establishing and scaling a technical accounting function, defining U.S. GAAP policies, and leading investor reporting for a private company. Candidates must have a bachelor's degree, CPA, and 12+ years of progressive accounting experience with deep expertise in complex ASC standards.
The Director of Debt Capital Markets leads debt financing initiatives and manages lender relationships to support infrastructure growth. The role requires 10+ years of experience in debt capital markets or private equity, along with strong financial modeling and negotiation skills.
The role involves planning and executing industry conferences, tradeshows, and flagship events for Together AI. Candidates must have 3+ years of experience in event marketing and strong project management skills.
The Field Marketing & Community Manager role involves building account-based field programs and community events to engage priority accounts and accelerate pipeline. Candidates must have 5-7+ years of experience in field marketing or ABM, with strong project management and cross-functional collaboration skills.
The role involves partnering with strategic customers to optimize inference engines and manage post-training pipelines for production AI teams. Candidates must have 5+ years of technical experience, expert knowledge of inference engines like vLLM, and proficiency in Python.
This role involves acting as a technical partner to strategic customers for post-training LLMs, focusing on data strategy, algorithm selection, and evaluation. Candidates require 5+ years of ML experience and expert-level hands-on knowledge of fine-tuning and reinforcement learning techniques.
This role involves partnering with strategic customers to optimize inference engines and production AI deployments. Candidates require 5+ years of technical experience, expert knowledge of inference engines like vLLM, and strong Python skills.
This role involves driving growth for a PLG business through experimentation and campaign execution across email, landing pages, and paid media. Candidates must be data-driven, analytical, and currently pursuing a bachelor's degree or MBA.
The GTM Engineer role involves architecting an AI-native tech stack and building automated engines to drive revenue outcomes. Candidates must have 3-5+ years of experience in Growth, GTM, or Revenue Operations, along with direct Salesforce expertise and strong systems thinking.
This role involves contributing to secure AI systems by designing and prototyping security solutions for hardware, firmware, and cloud infrastructure. Candidates must have a Bachelor's degree in a related field, foundational knowledge of computer architecture, and strong programming skills in Python or Bash.
This role involves designing and implementing security solutions for AI infrastructure, including hardware, firmware, and cloud services. Candidates must have strong programming skills in Python or Bash and a foundational understanding of computer architecture and operating systems.
The Head of Distribution Partnerships role involves sourcing and building 0-to-1 partnerships to drive token distribution for Together AI's inference infrastructure. Candidates must have at least 5 years of experience in product partnerships or technical alliances, along with the technical acumen to scope integrations and negotiate commercial terms.
The role involves leading a team of AI infrastructure systems engineers in Amsterdam to maintain user-facing services and production systems. Candidates must have 7+ years of SRE experience and expert knowledge of Ansible, Terraform, and Kubernetes.
The role involves leading a team of eight cloud infrastructure engineers in Amsterdam to build and manage distributed GPU scheduling and global management planes. Candidates require five or more years of experience in large-scale distributed systems and strong backend development skills.
The role involves designing and building production systems for the Together AI inference engine to optimize large language model performance at scale. Candidates must have 3+ years of experience writing high-performance code and proficiency with Python and PyTorch.
The role involves managing international cloud compute supplier relationships and contract lifecycles to support global GPU fleet scaling. Candidates require 5+ years in cloud sourcing, experience negotiating multi-million dollar contracts, and the ability to translate technical requirements into commercial terms.
The role involves designing and operating backend infrastructure and Kubernetes-based systems for model customization and evaluation. Candidates require 3+ years of experience in production infrastructure, Linux, and Python or Go.
This role involves owning day-to-day product work for AI infrastructure products, including GPU clusters, managed storage, and observability. Candidates must demonstrate strong data and analytics skills, high agency, and a technical foundation in cloud or infrastructure.
This role leads partner marketing at Together AI, focusing on strategy and execution for NVIDIA and model labs. Candidates need 5+ years of partner marketing experience, preferably with cloud hyperscalers or NVIDIA, and strong analytical skills.
The Recruiting Coordinator role involves managing the hiring process from start to finish, including scheduling interviews, coordinating with hiring managers, and handling candidate communications. The position requires 1-3 years of experience in recruiting or HR, familiarity with Applicant Tracking Systems, and strong organizational and communication skills.
The role involves sourcing and engaging passive candidates for business-side hiring across GTM, Infrastructure Strategy, and G&A. Candidates must have 5+ years of sourcing experience and strong outreach skills to build pipelines and sourcing playbooks.
The role involves designing and optimizing large-scale training infrastructure for foundation models at Together AI. Candidates must have strong Python and PyTorch skills, along with experience in multi-GPU training and ML systems.
The role involves developing a platform for customizing open-source models and building Fine-Tuning, Reinforcement Learning, and Evaluation services. Candidates must have 2+ years of experience deploying ML services and hands-on knowledge of inference engines like SGLang and vLLM.
This research internship focuses on developing and evaluating frontier AI agents for complex, multi-step tasks in text and speech. Candidates must be pursuing a Ph.D. with strong machine learning fundamentals, Python skills, and experience with deep learning frameworks.
This research internship focuses on developing and evaluating frontier AI agents for complex, multi-step tasks in text and speech. Candidates must be pursuing a Ph.D. with strong machine learning fundamentals, Python skills, and experience with deep learning frameworks.
This research internship focuses on developing speculative decoding algorithms and draft models to accelerate large language model generation. Candidates must have strong machine learning fundamentals and hands-on experience training large models with distributed frameworks.
This research internship focuses on developing speculative decoding algorithms and draft models to accelerate large language model generation. Candidates must have strong machine learning fundamentals and hands-on experience training large models with distributed frameworks.
This research internship focuses on developing efficient and scalable inference systems for large foundation models, including distributed inference and compiler-aware optimization. Candidates must be final-year students with strong machine learning fundamentals, Python programming skills, and experience with deep learning frameworks.
This research internship focuses on developing efficient and scalable inference systems for large foundation models, including distributed inference and compiler-aware optimization. Candidates must be final-year students with strong machine learning fundamentals, Python programming skills, and experience with deep learning frameworks.
This role involves researching and implementing novel techniques in post-training, efficient neural network training, and foundation model evaluation. Candidates must be currently pursuing a degree in a related field with strong machine learning fundamentals and experience with deep learning frameworks.
This role involves researching and implementing novel techniques in post-training, efficient neural network training, and foundation model evaluation. Candidates must be currently pursuing a degree in a related field with strong machine learning fundamentals and experience with deep learning frameworks.
The Sales Development Engineer role involves surfacing, qualifying, and converting opportunities for GPU and API platform sales at Together.ai. Candidates must have 1-2 years of technical experience, strong communication skills, and experience with cold and warm calling.
The Senior ABM & Campaign Manager role involves owning account-based programs and integrated campaigns for AI-native companies. Candidates must have 6+ years of B2B demand generation experience and deep ABM expertise.
The role involves building and optimizing global request routing, load balancing, and auto-scaling systems for a large-scale inference platform. Candidates must have 5+ years of experience in distributed systems and expert-level programming in Rust, Go, Python, or TypeScript.
The Senior Counsel role involves building legal and compliance programs for AI infrastructure, focusing on product terms, privacy, export controls, and patent strategy. Candidates require a JD, 7+ years of experience, and expertise in global privacy law and export controls.
The role involves owning CI/CD pipelines, release infrastructure, and testing systems to improve engineering productivity. Candidates must have 5+ years of production software experience and proficiency in Python, Go, and JavaScript/TypeScript.
The role involves optimizing inference performance for voice models and owning the model serving stack for STT, TTS, and speech-to-speech workloads. Candidates must have 5+ years of ML engineering experience, proficiency in Python and PyTorch, and hands-on experience with LLM serving engines.
The role involves designing, deploying, and operating global network infrastructure for high-performance AI compute environments. Candidates must have 8+ years of experience with large-scale production networks, deep TCP/IP knowledge, and strong troubleshooting skills across Linux and Kubernetes.
The role involves designing, deploying, and operating global multi-vendor network infrastructure for high-performance AI compute environments. Candidates must have 8+ years of experience with large-scale production networks, deep TCP/IP knowledge, and hands-on experience with RoCE or InfiniBand.
The role involves building software state machines and self-service APIs to automate the provisioning and lifecycle management of GPU inference clusters. Candidates must have strong software engineering experience in Go, Python, or Rust, along with expertise in durable workflow orchestration and control plane systems.
The role involves building a Kubernetes-native control plane and self-service API to provision and manage a GPU inference fleet. Candidates must have strong software engineering skills and experience with durable workflow orchestration, control planes, and event-driven systems.
The Senior Product Engineer role involves owning the frontend UI for Together AI's revenue-critical commerce flows, including spend controls and payment management. Candidates must have 4+ years of frontend experience with strong React, TypeScript, and API integration skills.
The role involves building and shipping fullstack features for Together AI's core product surfaces, including Playground and Model Garden. Candidates must have 4-7 years of experience with strong TypeScript, React, and full-stack engineering skills.
This role involves owning the product direction for Together's model APIs and developer experience, including chat, multimodal, voice, and batch inference. Candidates must have meaningful experience with APIs and developer tools, along with strong product judgment and a willingness to build prototypes.
The role manages data center builds and infrastructure deployment for Together AI, overseeing projects from contract negotiation through commissioning. Candidates require 7+ years in technical program management with 5+ years focused on data center or high-density infrastructure builds.
The Senior G&A Recruiter role involves owning end-to-end hiring for Finance, Legal, and Business Strategy functions at Together AI. Candidates must have 5+ years of G&A recruiting experience in high-growth tech environments and strong leadership partnership skills.
The Senior GTM & Business Recruiter owns end-to-end hiring for GTM and Business functions at Together AI's San Francisco headquarters. The role requires 5+ years of recruiting experience in high-growth tech environments and the ability to partner with leadership to define hiring strategies.
The Senior Software Engineer role focuses on building and owning major components of Together Cloud's next-generation AI infrastructure, including GPU virtualization and distributed control planes. Candidates must have 5+ years of experience, strong backend proficiency, and demonstrated ownership of large-scale, high-performance systems.
The role involves building and owning major components of a next-generation AI cloud platform, including GPU virtualization and distributed control planes. Candidates must have 5+ years of software development experience, strong systems knowledge, and proficiency in backend languages like Golang.
The role involves building foundational backend services for a global AI cloud platform that virtualizes ML hardware and manages distributed GPU scheduling. Candidates must have 5+ years of experience in large-scale distributed systems, strong systems knowledge, and proficiency in Golang or similar languages.
The role involves building production AI agents and core platform systems to diagnose and automate operations for a large GPU fleet. Candidates must have 5+ years of experience in backend or distributed systems and strong skills in AI agent systems, knowledge graphs, or retrieval.
The role involves building production AI agents and core platform systems to diagnose and automate operations for a large GPU fleet. Candidates must have 5+ years of experience in backend or distributed systems and strong skills in AI agent systems, knowledge graphs, or retrieval.
The role involves building production AI agents and core platform systems to diagnose and automate operations for a large GPU fleet. Candidates must have 5+ years of experience in backend or distributed systems and strong skills in AI agent systems, knowledge graphs, or retrieval.
The role involves designing and implementing a scalable observability platform using tools like Prometheus, Grafana, and OpenTelemetry. Candidates must have strong programming skills in Go or Python and experience with infrastructure-as-code tools such as Terraform and Kubernetes.
The role involves partnering with AI Research and Engineering leadership to scale research teams across kernels, inference optimization, and applied AI. Candidates must have 5+ years of technical recruiting experience and a proven track record hiring exceptional AI researchers and engineers.
The Solutions Architect role involves advising customers on Generative AI applications and demonstrating Together AI's stack. Candidates need 5+ years in customer-facing technical roles, with at least 2 years in pre-sales, and strong skills in AI, ML, and Python.
The role involves building and executing EMEA field marketing and community strategies to support market entry and pipeline growth. Candidates must have 8+ years of B2B marketing experience, strong sales partnership skills, and the ability to manage regional budgets and events.
This role involves operating and scaling multi-petabyte storage systems for AI training and inference workloads. Candidates must have 8+ years of storage engineering experience and strong skills in Go and Python.
The role involves operating and scaling multi-petabyte storage systems for AI workloads, including high-performance parallel filesystems and object stores. Candidates must have 8+ years of storage engineering experience, deep Kubernetes expertise, and strong coding skills in Go and Python.
The role involves driving the model serving layer for voice workloads, optimizing inference engines like TRT-LLM and SGLang for models such as Whisper and Parakeet. Candidates must have 8+ years of ML engineering experience, deep expertise in LLM serving engines, and strong proficiency in Python, PyTorch, and GPU optimization.
This role involves driving service and platform infrastructure strategy for Together AI's engineering organization. Candidates must have 7+ years of experience in platform engineering or SRE with deep production knowledge of Kubernetes and AWS.
This Staff Software Engineer role focuses on AI Compute within the Together Cloud organization, requiring the candidate to set technical direction for and build major components of a next-generation AI cloud platform. The position demands 7+ years of professional software development experience, expert proficiency in at least one backend language, and deep systems knowledge across compute, networking, and storage.
This role involves setting technical direction for and building major components of a next-generation AI cloud platform, including GPU virtualization and global management planes. Candidates must have 7+ years of experience, expert proficiency in a backend language, and a track record of owning large distributed system architectures.
The role involves building a Kubernetes-native control plane and self-service API to provision and manage a GPU inference fleet. Candidates must have strong software engineering skills and experience with durable workflow orchestration, control planes, and event-driven systems.
The Strategic Account Executive role involves owning a portfolio of high-priority AI-native and enterprise accounts to generate pipeline and close new business. The position requires 7+ years of B2B technology sales experience, technical fluency in ML/infrastructure, and the ability to manage complex sales cycles.
The Strategic Account Executive role involves owning a portfolio of high-priority AI-native and enterprise accounts to generate pipeline and close new business. Candidates must have 7+ years of B2B technology sales experience and a track record of closing complex inference opportunities.
This role involves owning the cost base and forecasting for data center build-outs, including hardware capex and operating costs. Candidates must have 4+ years of experience in data center finance or infrastructure investing, with strong financial modeling and budget-versus-actual skills.
This role involves developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Candidates must have a strong background in GPU programming, parallel computing, and CUDA or Triton.
This internship involves developing and optimizing GPU-accelerated kernels for ML/AI applications at Together AI. Candidates must have strong backgrounds in GPU programming, parallel computing, and CUDA or Triton.
The role involves developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Candidates must have strong background in GPU programming, parallel computing, and knowledge of ML/AI models.
The Technical Marketing Engineer role involves creating technical content and managing developer communities to build Together AI's credibility. Candidates must have 3+ years of product or technical marketing experience and a portfolio of in-depth technical content for engineers.
This role requires an engineer to source top-tier technical talent in the Bay Area and other hubs. Candidates must evaluate GitHub profiles and conduct deep technical first calls to identify elite engineers.
This role supports customers with complex technical challenges involving Kubernetes GPU clusters for training, fine-tuning, and inference. Candidates need 3+ years in customer-facing technical roles, with at least 1 year in AI or SaaS support, and strong knowledge of GPU technologies and HPC environments.
This role supports customers with Kubernetes GPU clusters, requiring 3+ years in customer-facing technical support and SRE experience. Candidates must have strong knowledge of AI, ML, GPU technologies, and HPC infrastructure.
This role supports customers with complex technical challenges in AI inference and fine-tuning services, acting as a customer-facing SRE for GPU clusters and Kubernetes endpoints. Candidates require 6+ years of experience in customer-facing technical roles, SRE, or infrastructure engineering, with at least one year in AI service support.
This role involves writing and testing documentation for Together AI's developer products, including guides and API references. Candidates must have strong written communication skills, a working knowledge of Python or TypeScript, and experience with Git.
Current official-feed vacancies. Follow each job for its complete description and application terms.
Profile reviewed 2026-10-30. City-level approximate marker; not a lab street address.