Together AI jobs

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

Senior Software Engineer - Together Cloud Platform 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 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

Senior Machine Learning Engineer, Voice AI San Francisco About the Role Together AI is building the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications - serving speech-to-text and text-to-speech models with best-in-class latency and reliability. We're looking for a Senior ML Engineer to drive the model serving layer for voice workloads. You'll work hands-on with inference engines like TRT-LLM and SGLang to optimize how we serve models like Whisper, Parakeet, Orpheus, and Kokoro - pushing latency and throughput to the frontier. You'll profile GPU utilization, design batching strategies for streaming audio, and ensure new model architectures can go from research to production quickly. This is a foundational hire on a small, high-impact team. Voice inference has unique challenges - streaming audio, tokenization, real-time latency budgets - that require dedicated ML engineering focus. You'll shape how Together serves voice models as the industry moves from pipeline architectures (ASR → LLM → TTS) toward end-to-end speech-to-speech. - Own the model serving stack that powers Together's voice platform across STT, TTS, and speech-to-speech. - Work directly with state-of-the-art accelerators (H100s, H200s, B200s) to optimize voice model inference. - Collaborate with model partners (Cartesia, Deepgram, Rime, and others) to bring their models to production on Together's infrastructure. - Build quality evaluation frameworks that guide model selection for customers and inform the roadmap. - Join a small, early-stage team with outsized impact on a fast-growing product area. Responsibilities - Optimize inference performance for voice models (STT,

AI Infrastructure Engineer San Francisco As an AI Infrastructure Engineer at Together, you are responsible for keeping all user-facing services and production systems running smoothly. You are a blend of a pragmatic operator and a software engineer that applies sound engineering principles, operational discipline, and mature automation to our operating environments and codebase. You specialize in systems (operating systems, storage subsystems, networking), while implementing best practices for availability, reliability and scalability, with varied interests in algorithms and distributed systems. Responsibilities - Participate in on-call rotation (Pagerduty) to respond to production incidents - Build and run our infrastructure with Ansible, Terraform, and Kubernetes to enable scaling to a massive number of concurrent users - Build monitoring systems to ensure the highest quality service for our customers - Design and implement operational processes (such as deployments and upgrades) - Debug production issues across all services and levels of the stack - Identify improvements for the product architecture from the reliability, performance and availability perspectives - Plan the growth of Together AI's infrastructure Requirements - 5+ years of professional AI Infra or related experience - Bachelor's degree in Computer Science or a related field or equivalent work experience - Knowledge of Ansible (roles, playbooks), Terraform, and Kubernetes - Proficiency in programming/scripting languages - Direct experience in monitoring and observability practices - Knowledge of cloud services - Ability to thrive in a collaborative environment involving different stakeholders and subject matter experts About Together AI Together AI is a research-driven artificial intelligence company. We believe

Lead/Manager Together Cloud Infrastructure Amsterdam 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 Lead/Manager, you will play a key role in building the Together cloud platform engineering team in the Netherlands. We are 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. 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. Hybrid working 2 days a week at our offices in Amsterdam Responsibilities - Lead/Manage a team of 8 together cloud Infrastructure Engineer in Amsterdam, - Identify, design, and develop foundational backend services that power Together's commerce 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

Staff Machine Learning Engineer, Voice AI San Francisco About the Role Together AI is building the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications - serving speech-to-text and text-to-speech models with best-in-class latency and reliability. We're looking for a Staff ML Engineer to drive the model serving layer for voice workloads. You'll work hands-on with inference engines like TRT-LLM and SGLang to optimize how we serve models like Whisper, Parakeet, Orpheus, and Kokoro - pushing latency and throughput to the frontier. You'll profile GPU utilization, design batching strategies for streaming audio, and ensure new model architectures can go from research to production quickly. This is a foundational hire on a small, high-impact team. Voice inference has unique challenges - streaming audio, tokenization, real-time latency budgets - that require dedicated ML engineering focus. You'll shape how Together serves voice models as the industry moves from pipeline architectures (ASR → LLM → TTS) toward end-to-end speech-to-speech. - Own the model serving stack that powers Together's voice platform across STT, TTS, and speech-to-speech. - Work directly with state-of-the-art accelerators (H100s, H200s, B200s) to optimize voice model inference. - Collaborate with model partners (Cartesia, Deepgram, Rime, and others) to bring their models to production on Together's infrastructure. - Build quality evaluation frameworks that guide model selection for customers and inform the roadmap. - Join a small, early-stage team with outsized impact on a fast-growing product area. Responsibilities - Own the voice inference roadmap end-to-end -

Staff Platform Engineer, Voice AI San Francisco About the Role Together AI is defining the infrastructure layer for the next generation of voice applications. Our Voice AI platform powers production-grade, real-time voice agents at scale - and we're looking for a Staff Platform Engineer to own the architecture that makes it possible. This isn't a role about maintaining what exists. You'll set the technical direction for how developers interact with Together's voice platform - from the real-time API primitives they build on, to the autoscaling systems that keep latency SLOs intact under unpredictable load, to the multi-provider abstraction layer that makes our platform uniquely powerful. Voice infrastructure is categorically harder than text inference: bidirectional audio streams, stateful long-lived connections, millisecond latency requirements, and complex multi-model routing don't forgive architectural shortcuts. You'll bring the judgment to get this right the first time, at scale. This is a foundational hire on a small, high-conviction team. The decisions you make in this role will define the platform architecture for years. Responsibilities - Own the architecture and reliability of Together's real-time API layer - set the technical direction for WebSocket and HTTP streaming APIs powering STT and TTS at scale; establish the reliability bar (connection lifecycle, backpressure, graceful degradation, reconnection) that production voice agents - contact centers, AI agents, communication platforms - depend on. - Lead autoscaling architecture for latency-sensitive voice workloads - design and ship orchestration systems that handle bursty, real-time traffic across tens of thousands of GPUs; solve the hard problems at

Senior Platform Engineer, Voice AI San Francisco About the Role Together AI is building the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications - serving speech-to-text and text-to-speech models with best-in-class latency and reliability. We're looking for a Senior Platform Engineer to own the API and infrastructure layer for voice workloads. You'll build the real-time WebSocket and HTTP APIs that developers use to ship voice experiences, design autoscaling for latency-sensitive streaming workloads, and ensure our multi-provider voice platform is reliable enough for production voice agents handling millions of calls. This is a foundational hire on a small, high-impact team. Voice APIs have fundamentally different infrastructure requirements than text-based inference - bidirectional audio streaming, stateful connections, tight latency SLOs, and complex multi-model routing. You'll define how developers interact with Together's voice platform as we grow from early customers to the default infrastructure for voice AI. - Own the real-time API layer (WebSocket + HTTP streaming) that powers Together's voice platform. - Design autoscaling and orchestration for voice workloads running on tens of thousands of GPUs. - Build the developer experience - APIs, observability, and tooling - for a fast-growing product area. - Work with production voice customers (contact centers, AI agents, communication platforms) to ship what they actually need. - Join a small, early-stage team with outsized impact on a new product line. Responsibilities - Build and harden real-time WebSocket and HTTP streaming APIs for STT and TTS - including connection lifecycle

Senior Technical Recruiter San Francisco About the Role Together AI is building the AI Acceleration Cloud. We are building an end-to-end platform for the generative AI lifecycle, integrating fast, reliable inference and model-shaping services with cutting-edge AI cloud infrastructure. We seek a seasoned Senior Technical Recruiter to collaborate with Engineering leaders to drive hiring for diverse roles within our team. Responsibilities - Partner with executives and engineering leadership to assess current and future hiring needs in core engineering functions - Manage the candidate journey from sourcing handoff to offer stage, ensuring a seamless and exceptional experience. - Provide market intelligence, funnel metrics, and competitive insights to shape hiring strategies and influence decisions. - Collaborate with sourcers, coordinators, and recruiters to streamline processes and deliver a consistent, brand-aligned candidate experience. - Act as a strategic thought partner to leaders, scaling from concept to execution with data-driven insights, creativity, and sound judgment. Requirements - 5+ years of technical recruiting experience in high-growth tech environments. - Proven success in hiring for hyperscale startups - Strong ability to build and maintain relationships with leadership and hiring teams. - You thrive in a fast-paced, ambiguous environment with rapidly shifting priorities. - Expertise in designing new interview processes and hiring strategies from the ground up. - You adapt gracefully under pressure and navigate changing priorities with ease. - Ability to do more with less, you thrive in a scrappy environment and you find creative solutions to problems About Together AI Together AI is a research-driven artificial

Infrastructure Accounting Manager San Francisco About the Role Together AI is looking for an Infrastructure Accounting Manager to help shape the future of the department by building scalable and reliable accounting processes for our rapidly growing capital asset and lease portfolios. This position will report to the Director of FinOps and Accounting and will own end-to-end accounting for Together AI's fixed assets, construction-in-progress (CIP), and lease obligations supporting our AI infrastructure. The ideal candidate is a highly skilled, detail-oriented professional with deep technical accounting expertise and a proactive, cross-functional mindset. If you thrive in a fast-paced environment with the opportunity to lead, influence, and innovate across both day-to-day operations and high-impact accounting policy decisions, we want to talk to you. Responsibilities - Own end-to-end accounting for Together AI's fixed asset portfolio, including GPU infrastructure, networking equipment, racks, and related data center assets; help build and maintain capitalization policy and asset classification guidelines, including useful life determinations, in accordance with ASC 360. - Review and approve asset additions, transfers, disposals, and retirements; ensure accurate depreciation calculations and subledger-to-GL reconciliations; maintain and continuously improve capitalization policies and related internal controls. - Manage accounting for Construction in Progress (CIP) related to GPU infrastructure deployments and data center buildouts, tracking asset commissioning and ensuring timely capitalization once assets are placed into service. - Partner with engineering, infrastructure, and business operation teams to validate deployment milestones, cost allocations, and in-service dates; monitor CIP aging and ensure appropriate classification and capitalization timing. - Manage accounting and

Solutions Architect San Francisco About the Role As a Solutions Architect at Together AI, you will work with customers and prospects to create business value through Generative AI applications. Solutions Architects at Together are trusted advisors to our customers that evaluate, identify and demonstrate how Together can solve their AI needs. As key contributors to our sales organization, Solution Engineers add tremendous value to the customer journey and directly impact company growth and revenue. This is an exciting opportunity for a deeply technical professional passionate about AI and customer success to make a significant impact in a fast-paced, innovative environment. Responsibilities - Act as a technical advisor to our most strategic customers, deeply embedding with them to support the ideation and development of innovative applications using OSS models on Together AI - Run complex demonstrations and POCs of Together's entire stack, including both hardware and software solutions - Collaborate with sales to qualify new prospects and support existing customers along their journey to build cutting-edge Generative AI solutions - Build and maintain strong relationships with customer leadership and stakeholders, ensuring the successful deployment and scaling of their applications - Deliver high-value feedback to our Product, Engineering, and Research teams, ensuring our platform continues to evolve to meet customer needs - Build educational content and tooling for both internal and external use around Together's solutions (i.e., playbooks, blogs, demos, etc.) Qualifications - 5+ years of experience in a customer-facing technical role with at least 2 years in a pre-sales function -

AI infrastructure Engineer (SRE) Amsterdam Amsterdam As a AI Infrastructure Engineer (SRE) at Together, you are responsible for keeping all user-facing services and production systems running smoothly. You are a blend of a pragmatic operator and a software engineer that applies sound engineering principles, operational discipline, and mature automation to our operating environments and codebase. You specialize in systems (operating systems, storage subsystems, networking), while implementing best practices for availability, reliability and scalability, with varied interests in algorithms and distributed systems. Requirements - 7+ years of professional SRE or related experience - Bachelor's degree in Computer Science or a related field or equivalent work experience - Expert knowledge of Ansible (roles, playbooks), Terraform, and Kubernetes - Proficiency in programming/scripting languages - Direct experience in monitoring and observability practices - Advanced knowledge of cloud services - Ability to thrive in a collaborative environment involving different stakeholders and subject matter experts Responsibilities - Be on an on-call (PagerDuty) rotation to respond to incidents that impact availability - Build and run our infrastructure with Ansible, Terraform, and Kubernetes to enable scaling to a massive number of concurrent users - Build monitoring systems to ensure the highest quality service for our customers - Design and implement operational processes (such as deployments and upgrades) - Debug production issues across all services and levels of the stack - Identify improvements for the product architecture from the reliability, performance and availability perspectives - Plan the growth of Together AI's infrastructure About Together AI Together AI is a

Director, Data Center Operations San Francisco About the Role Together AI is scaling its physical AI infrastructure rapidly - and we're looking for a Director of Data Center Operations to help us build it right. This is a ground-floor opportunity to own the operational foundation of Together's growing data center portfolio across the US and Asia. You'll be responsible for designing and commissioning white space deployments - taking pre-built environments and fitting them out with the power distribution, cooling distribution, and systems infrastructure needed to run high-density GPU workloads at scale. At the same time, you'll be building the break-fix and smart hands team from scratch: hiring, defining the playbook, and standing up the function that keeps our sites running around the clock. This is not a steady-state operations role. It's a builder role. You'll be joining a small but fast-moving team, with real ownership over outcomes and the autonomy to shape how Together AI operates its physical infrastructure for years to come. If you've scaled data center infrastructure through hypergrowth before and want to do it again with more ownership - this is that opportunity. Responsibilities - Own the design, fit-out, and commissioning of white space sites across the US and Asia, with a focus on power distribution (PDUs), cooling distribution (CDUs), and IT-adjacent infrastructure - Build and lead a ~20-person break-fix and smart hands team from scratch - define the operating model, hire the initial team, and establish the processes and playbooks that keep sites running - Manage

Solutions Architect (Inference) London About the Role As a Solutions Architect (Inference) at Together AI, you will work with customers and prospects to create business value through Generative AI applications. Solutions Architects at Together are trusted advisors to our customers that evaluate, identify and demonstrate how Together can solve their AI needs. As key contributors to our sales organization, Solution Engineers add tremendous value to the customer journey and directly impact company growth and revenue. This is an exciting opportunity for a deeply technical professional passionate about AI and customer success to make a significant impact in a fast-paced, innovative environment. Responsibilities - Act as a technical advisor to our most strategic customers, deeply embedding with them to support the ideation and development of innovative applications using OSS models on Together AI - Run complex demonstrations and POCs of Together's entire stack, including both hardware and software solutions - Collaborate with sales to qualify new prospects and support existing customers along their journey to build cutting-edge Generative AI solutions - Build and maintain strong relationships with customer leadership and stakeholders, ensuring the successful deployment and scaling of their applications - Deliver high-value feedback to our Product, Engineering, and Research teams, ensuring our platform continues to evolve to meet customer needs - Build educational content and tooling for both internal and external use around Together's solutions (i.e., playbooks, blogs, demos, etc.) Qualifications - 7+ years of experience in a customer-facing technical role with at least 2 years in a pre-sales function

Senior Developer Productivity Engineer San Francisco About the Role 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 and engineers in our journey in building the next generation AI infrastructure. As a Senior Developer Productivity Engineer at Together AI, you'll own the systems and tooling that empower engineers to ship high-quality software faster. You'll optimize workflows, enhance testing, enable reliable and reusable CI/CD, and work with developers to build out stable local environments. Your work will directly impact release velocity, developer happiness, and cross-cutting enablement ensuring engineers spend less time churning on infrastructure and more time building. Responsibilities - Automate CI/CD pipelines for zero-downtime deployments (e.g., Canary, Blue/Green). - Create smart pipelines encouraging reusable workflows and simplicity - Streamline build/test/deploy workflows. - Build shared tooling (CLIs, codegen, IDE plugins) to accelerate teams. - Reduce friction (e.g., faster builds, hot-reload, test tooling). - Collaborate with developers to identify pain points and streamline workflows. - Champion best practices through documentation. Requirements - Bachelor's degree in Computer Science, Engineering, or related field or

Machine Learning Engineer - Inference San Francisco About the Role Together AI is seeking a Machine Learning Engineer to join our Inference Engine team, focusing on optimizing and enhancing the performance of our AI inference systems. This role involves working with state-of-the-art large language models models and ensuring they run efficiently and effectively at scale. If you are passionate about AI inference, PyTorch, and developing high-performance systems, we want to hear from you. This position offers the chance to collaborate closely with AI researchers and engineers to create cutting-edge AI solutions. Join us in shaping the future at Together AI! Responsibilities - Design and build the production systems that power the Together AI inference engine, enabling reliability and performance at scale. - Develop and optimize runtime inference services for large-scale AI applications. - Collaborate with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world. - Conduct design and code reviews to ensure high standards of quality. - Create services, tools, and developer documentation to support the inference engine. - Implement robust and fault-tolerant systems for data ingestion and processing. Requirements - 3+ years of experience writing high-performance, well-tested, production-quality code. - Proficiency with Python and PyTorch. - Demonstrated experience in building high performance libraries and tooling. - Excellent understanding of low-level operating systems concepts including multi-threading, memory management, networking, storage, performance, and scale. - Preferred: Knowledge of existing AI inference systems such as TGI, vLLM, TensorRT-LLM, Optimum - Preferred: Knowledge of AI inference

Machine Learning Engineer San Francisco About the Role Together AI is looking for an ML Engineer who will develop systems and APIs that enable our customers to perform inference and fine tune LLMs. Relevant experience includes implementing runtime systems that perform inference at scale using AI/ML models from simple models up to the largest LLMs. Requirements - 5+ years experience writing high-performance, well-tested, production quality code - Bachelor's degree in computer science or equivalent industry experience - Familiar with LLM inference ecosystem, including frameworks and engines (e.g. vLLM, SGLang, TRT, ...) - Demonstrated experience in building large scale, fault tolerant, distributed systems like storage, search, and computation - Expert level programmer in one or more of Python, Go, Rust, or C/C++ - Experience implementing runtime inference services at scale or similar Responsibilities - Design and build the production systems that power the Together Cloud inference and fine-tuning APIs, enabling reliability and performance at scale - Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world - Analyze and improve efficiency, scalability, and stability of various system resources - Conduct design and code reviews - Create services, tools & developer documentation - Create testing frameworks for robustness and fault-tolerance - Participate in an on-call rotation to respond to critical incidents as needed 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

Staff Engineer, API Core Platform San Francisco Staff Engineer - API Core Platform About the role Together AI is seeking an experienced Backend Engineer to found Together's API Platform team within the Production Foundations organization. In this role, you will define, build, and scale the core systems and architecture that power Together's mission-critical cloud control-plane APIs - including public customer APIs used directly by customers and through SDKs and CLIs, as well as the client APIs powering Together's Cloud UI. This team is distinct from Together's dedicated Inference API team, but partners closely with it to deliver a cohesive customer platform experience. In the near term, you will improve and standardize the backend API layer within our primary Next.js monolith, raising the bar on reliability, performance, and consistency. In parallel, you will design and lead the evolution toward scalable, purpose-built next-gen API platform solutions optimized for different Public API and Client API use cases and traffic patterns - defining the long-term architecture and driving its incremental rollout. This is a deeply hands-on role for an engineer who thrives on writing critical-path code and building platforms that unify engineering efforts across teams. You will work across backend systems, infrastructure layers, identity and access flows, and developer tooling to establish a cohesive API strategy that supports Together's rapidly growing AI Cloud. Responsibilities - Design and drive the evolution of Together's API platform, defining how APIs are built, versioned, secured, tested, and operated across the company - Own and improve the backend API

Systems Research Engineer, GPU Programming San Francisco About the Role As a Systems Research Engineer specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems. Collaborating with the hardware and software teams, you will contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise in GPU programming and parallel computing. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation. Requirements - Strong background in GPU programming and parallel computing, such as CUDA and/or Triton. - Knowledge of ML/AI applications and models - Knowledge of performance profiling and optimization tools for GPU programming - Excellent problem-solving and analytical skills - Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent practical experiences Responsibilities - Optimize and fine-tune GPU code to achieve better performance and scalability - Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems - Stay up-to-date with the latest advancements in GPU programming techniques and technologies 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

AI Engineer Novato, California, United States As an AI Engineer at Cloud Chamber you will join our talented development team to further push the development of the AI Systems and AI Archetypes for BioShock 4. We have high ambitions for tying AI and storytelling together in our project. It will be your responsibility to support several AI Systems and bring our AI Archetypes to life. In this role, you'll help push the state of the art, and experiment with unproven ideas. We are attempting new and ambitious things with AI in this game. You are a bold and curious engineer who believes in an iterative, experimental approach to game development; moving comfortably between design and engineering, collaborating and communicating ambition and limitations. What You'll Do: - Collaborate with the engineering and design teams to iterate and polish existing AI Systems and Archetypes. - Support the development of architecture and implementation within the systems of your domain. - Collaborate with other engineers to implement and maintain AI behavior trees and associated systems. - Test our AI Systems and Archetypes, reporting on their performance operation and memory budgets. - Test and suggest improvements for combat design-facing authoring and encounter scripting tools for - Maintain technical documentation. What We'll Do Together: You will work closely with our Design, Animation, Audio, VFX, and Art departments to support and finalize the implementations for core AI systems: Combat Management, Perception, Steaming/Memory/Performance, etc. You will also help support the creation of new AI Archetypes and finalize existing

Senior AI Engineer Novato, California, United States Cloud Chamber is seeking a Senior AI Engineer to join our talented development team to further push the development of the AI Systems and AI Archetype for BioShock 4. We have high ambitions for tying AI and storytelling together in our project. It will be your responsibility to crystallize that ambition, helping to support several AI systems, and bring several AI Archetypes to life. In this role, you'll collaborate with an engaged team to push the state of the art and experiment with unproven ideas. We are attempting new and ambitious things with AI in this game. You are bold, brave, and believe in an iterative, experimental approach to game development, moving comfortably between design and engineering, collaborating and communicating ambition and limitations. What You'll Do: - Collaborate with the team to: - Iterate and polish existing AI Systems and Archetypes. - Bring new Archetypes into existence. - Take confident ownership over the architecture and implementation within the systems of your domain. - Work on implementation and maintenance of AI behavior tree and associated systems. - Focus and help plan for ensuring all of our AI Systems and Archetypes operate performantly and within memory budgets. - Improve design-facing tools for authoring and scripting combat encounters. - Create and maintain technical documentations. - Review the work of other engineers and share expertise in your area of knowledge. What We'll Do Together: You will work closely with our Design, Animation, Audio, VFX, and Art departments

Associate AI Developer/ AI Developer (Full stack) - SAP Labs East Asia Singapore Associate AI Developer/ AI Developer (Full stack) - SAP Labs East Asia Singapore | Country Singapore | Internal Posting Location Singapore We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. *SAP will be prioritizing candidates with full working rights in Singapore* A bout SAP A market leader in end-to-end business application software, SAP helps more than 425,000 customers worldwide work together more efficiently. We know that a diverse and inclusive workforce keeps us competitive and provides opportunities for all. We believe that together we can transform industries, grow economics, lift societies, and sustain our environment. Because it's the best-run businesses that make the world run better and improve people's lives. At SAP, we build breakthroughs, together. What you'll build Pur pose and objectives As an Associate AI Developer / AI Developer, you will work together with a team of dedicated experts including AI scientists, data engineers, dev-ops engineers, and architects with a single goal

Forward Deployed Solution Architect – Applied AI FDE Dublin, , Ireland Company Description: It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description: Team Bio: ServiceNow's Applied AI Forward Deployed Engineering (FDE) team is where bold ideas meet transformative action. We partner with our most strategic customers to shape the future of enterprise AI. Together, we identify high-value opportunities, accelerate business outcomes, and build reusable AI-native solutions that advance the Now AI Platform. Our mission: We partner deeply with our customers to build intelligent, scalable AI solutions that solve their most mission-critical challenges. By embedding in real-world complexity, we deliver fast, iterate with purpose, and transform every success into reusable patterns that accelerate transformation across the Now Platform and the broader enterprise. Why This Role Matters: Enterprise leaders aren't just experimenting with AI-they're demanding outcomes. The next wave of adoption will be led by those who can move fast, deliver measurable

Associate Director, Biostatistics & AI Remote - USA Mavericks Wanted When was the last time you achieved the impossible? If that thought feels overwhelming, you might want to pause here, but if it sparks excitement...read on In 2015, we pioneered a “moneyball for biotech” approach, pooling projects and promising early-stage research from academia together under one financial umbrella to reduce risk and unleash innovation. This model allows science and small teams of experts to lead the way. We build bridges to groundbreaking advancements in rare disease, and develop life-changing medicines for patients with unmet needs as fast as humanly possible. Together we define white space, push boundaries, and empower people to solve problems. If you're someone who defies convention, join us and work alongside some of the most respected minds in the industry. Together, we'll ask "why not?" and help reengineer the future of biopharma. At BridgeBio, we value curiosity and experimentation-including the ethical & thoughtful use of AI to improve clarity, speed, and quality of work. What You'll Do The Associate Director, Biostatistics & AI is a senior individual contributor and emerging people leader responsible for the delivery of high-quality statistical analyses and for designing, building, and embedding AI/ML interfaces into the day-to-day workflows of the biometrics function. This role sits at the intersection of pharmaceutical statistical science and applied AI engineering - and is the primary internal resource for setting up, validating, and governing AI tooling in a GxP-compliant environment. A successful candidate will bring either deep pharmaceutical