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Together Ai Jobs (NOW HIRING)

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 ...

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 ...

AI Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

Together AI is a research-driven artificial intelligence company focused on creating innovative AI systems. As an AI Infrastructure Engineer, you will be responsible for maintaining user-facing ...

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 ...

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 ...

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Together Ai information

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How much do together ai jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for together ai in the United States is $16.58, according to ZipRecruiter salary data. Most workers in this role earn between $13.94 and $18.99 per hour, depending on experience, location, and employer.

What is the difference between Together Ai vs Data Analyst?

AspectTogether AiData Analyst
Required CredentialsTypically requires knowledge of AI tools, programming, and data scienceRequires degrees in statistics, mathematics, or related fields; often certifications in data analysis
Work EnvironmentTech companies, AI startups, or organizations implementing AI solutionsBusiness, finance, healthcare, and various industries analyzing data sets
Employer & Industry UsageUsed by AI-focused companies and tech teamsCommon across multiple industries for data-driven decision making
Search & Comparison IntentUnderstanding AI-specific roles and toolsAnalyzing data to inform business strategies

While Together Ai focuses on AI-driven solutions and tools, Data Analysts primarily interpret data to support business decisions. Both roles require analytical skills, but Together Ai emphasizes AI technology expertise, whereas Data Analysts focus on data interpretation and reporting.

What are the key skills and qualifications needed to thrive as an AI Engineer at Together AI, and why are they important?

To thrive as an AI Engineer at Together AI, you need a solid background in computer science, machine learning, and deep learning, typically supported by a degree in a related field. Proficiency with Python, frameworks like PyTorch or TensorFlow, and experience with cloud computing platforms are commonly required, along with familiarity with distributed systems. Strong problem-solving abilities, teamwork, and effective communication distinguish top performers in this role. These skills and qualities enable the development and deployment of robust AI models and solutions in a collaborative and innovative environment.

What are some common challenges faced by machine learning engineers working at AI startups like Together Ai?

Machine learning engineers at AI startups such as Together Ai often encounter challenges related to rapid prototyping and scaling models efficiently. Balancing the need to innovate quickly with maintaining high-quality, reliable code can be demanding, especially in a fast-paced startup environment. Additionally, collaboration across cross-functional teams—such as product, research, and engineering—requires strong communication skills to align technical solutions with business goals. Adaptability and continuous learning are key, as both the AI landscape and company priorities can shift rapidly.

What is Together AI?

Together AI is a technology company that provides open-source generative AI models and cloud infrastructure for running large-scale artificial intelligence applications. Their platform enables businesses and developers to train, fine-tune, and deploy powerful AI models with cost-effective compute resources. Together AI is known for collaborating with the open-source community and offering tools that make it easier to build and scale AI-powered solutions.
More about Together Ai jobs
What cities are hiring for Together Ai jobs? Cities with the most Together Ai job openings:
What states have the most Together Ai jobs? States with the most job openings for Together Ai jobs include:
Infographic showing various Together Ai job openings in the United States as of June 2026, with employment types broken down into 4% As Needed, 66% Full Time, 23% Part Time, and 7% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $34,486 per year, or $16.6 per hour.

Senior Software Engineer - Together Cloud Infrastructure

Together AI

San Francisco, CA • On-site

$160K - $230K/yr

Full-time

Medical

Posted 10 days ago


Job description

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 diplomacy skills. You have strong fundamental software development skills. In addition, you have strong systems knowledge and troubleshooting abilities.
Requirements
  • 5+ years of professional software development experience and proficiency in at least one backend programming language (Golang desired)
  • 5+ years experience writing high-performance, well-tested, production quality code
  • Demonstrated experience with building and operating high-performance and/or globally distributed micro-service architectures across one or more cloud providers (AWS, Azure, GCP)
  • Excellent communication skills - able to write clear design docs and work effectively with both technical and non-technical team members
  • Deep experience with Kubernetes internals a big plus, such as implementing non-trivial Kubernetes operators, device/storage/network plugins, custom schedulers, or patches thereon or Kubernetes itself
  • Deep experience with VMs/hypervisors a big plus, such as QEMU/KVM, cloud-hypervisor, VFIO, virtio, PCIE passthrough, Kubevirt, SR-IOV
  • Deep experience with DC networking tech + solutions a big plus, such as VLAN, VXLAN, VPN, VPC, OVS/OVN
  • Experience with Cluster API or similar a big plus
  • Experience working on high-performance compute, networking, and/or storage a big plus
  • Experience virtualizing GPUs and/or Infiniband a big plus
  • Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale
  • Experience with infrastructure automation tools (Terraform, Ansible), monitoring/observability stacks (Prometheus, Grafana), and CI/CD pipelines (GitHub Actions, ArgoCD)
  • Experience building IaaS or PaaS systems at scale a plus
  • Experience with DPUs/SmartNICs a plus
  • GPU programming, NCCL, CUDA knowledge a plus
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 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 in our journey in building the next generation AI infrastructure.
Compensation
We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
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.
Please see our privacy policy at https://www.together.ai/privacy