We believe in greater freedom, security, and access to money.
That’s why we built the first real-world currency platform on the Bitcoin Blockchain.
Tether provides a secure, fast, and low-cost way to store, send, and receive money on the Blockchain as if it were bitcoin.

Tether.to

Browse and apply for open jobs at Tether.to.

artificial-intelligence

Tether.to is a leading digital asset company that pioneers the use of stablecoins in the blockchain space. As the most widely adopted stablecoin, Tether tokens are designed to be pegged 1-to-1 with fiat currencies, offering a stable digital asset option for users. The platform facilitates these token transactions across multiple blockchains, enhancing cross-border transactions while maintaining transparency with daily records of total assets and reserves. Tether's initiatives include educational programs promoting digital asset usage, especially targeting regions like the Middle East, Turkey, and the Philippines. Tether thus positions itself as a disruptor in the traditional financial system by enabling a stable, efficient method of handling transactions in the digital currency world.

We believe in greater freedom, security, and access to money. That’s why we built the first real-world currency platform on the Bitcoin Blockchain. Tether provides a secure, fast, and low-cost way to store, send, and receive money on the Blockchain as if it were bitcoin.

• Deliver new features and bug fixes with a focus on reliability, performance, and user satisfaction
• Design and develop new tools and modules enabling new AI capabilities
• Ensure success across a wide variety of model types and sizes
• Maintain high codebase quality through coding standards, code reviews, and automated testing
• Implement and develop P2P technology for use with local AI
• Push QVAC to new levels using P2P technology to enable limitless scale
• Develop innovative ways to connect people to local AI and integrate AI into everyday life

AI Harness Engineer

AI Harness Engineer building reliable AI tools, agent harnesses, and P2P systems for Tether’s local AI platform. Developing QVAC features that connect users to scalable local AI.

full-stack-engineer

• Own the end-to-end platform architecture through architecture proposals, high-level and low-level designs, reviews, and maintenance of the baseline
• Lead and line-manage a distributed team of about twelve engineers across backend, frontend, DevOps, QA, and documentation
• Establish engineering standards, conduct code and design reviews, manage release gates, hold one-to-ones, and provide growth and performance input
• Design, build, and operate a managed Slurm service for research users
• Own controller and accounting, partitions and login nodes, node onboarding, driver and CUDA baselines and upgrades, stalled-job and node-health detection, drain and autohealing, storage visibility, identity, and isolation
• Own Kubernetes cluster bootstrap and lifecycle on partner-provided bare metal
• Implement NVIDIA GPU Operator and Network Operator, VM-based GPU isolation with KubeVirt and VFIO, upgrades, backup and recovery, and node replacement
• Own managed inference architecture, including serving, multi-GPU and multi-node parallelism, autoscaling, request routing, endpoint reliability, and confidential-compute-capable capacity
• Establish metrics, logging, alerting, and SLOs across the control plane, GPU fleet, and application tiers
• Lead incident response, post-incident reviews, and development of a sustainable on-call model
• Serve as the primary technical interface to infrastructure partners and vendors
• Translate requirements into written specifications and acceptance tests, manage escalations, and contribute to capacity planning and hardware sourcing
• Work with research, model-training, and product teams to translate workloads into platform requirements and broker capacity
• Complete the platform team and set the technical bar for new engineers

Technical Lead – GPU Infrastructure

Technical Lead owning Tether’s bare-metal GPU, Slurm, Kubernetes, and inference platform architecture. Leading a distributed infrastructure team supporting Tether’s global digital-finance products.

• Design, build, and maintain scalable backend services and APIs in Node.js
• Develop reliable infrastructure components supporting high-availability systems
• Improve system scalability, performance, and operational resilience
• Contribute to architecture discussions and technical decision-making
• Work on integrations with blockchain networks and digital asset infrastructure
• Support systems related to token operations, permissions, transaction workflows, and operational controls
• Contribute to internal tooling and platform reliability improvements
• Help maintain secure and scalable infrastructure standards
• Improve observability, monitoring, and operational tooling
• Support deployment workflows and infrastructure automation
• Collaborate on performance optimization and system reliability initiatives
• Contribute to technical documentation and engineering best practices
• Work closely with Product, Engineering, and other internal teams

Senior Software Architect

Senior Software Engineer at Tether designing scalable backend systems for blockchain infrastructure. Collaborate globally on mission-critical financial products and tokenized assets development.

ai-research-scientist

• Drive innovation in model serving and inference architectures for advanced AI systems.
• Focus on optimizing model deployment and inference strategies.
• Work on a wide spectrum of systems, from resource-efficient models to complex, multi-modal architectures.
• Develop, test, and implement novel serving strategies and inference algorithms.
• Engineer robust inference pipelines, establish performance metrics, and resolve bottlenecks in production environments.
• Enable high-throughput, low-latency, low-memory footprint, and scalable AI performance that delivers tangible value.

AI Research Engineer – Kernel & Inference Optimization

AI Research Engineer specializing in kernel and inference optimization for advanced AI systems at Tether. Driving innovation in model serving architectures with a global remote team.

• Conduct end-to-end research and engineering initiatives to advance post-training of agentic and tool-use models to achieve SOTA results.
• Drive broad, cross-cutting model improvements, including factuality, instruction adherence, tool/function use, multi-agent coordination, and reasoning calibration.
• Design and enhance large-scale post-training systems, including data pipelines, training workflows, evaluation frameworks, and benchmark infrastructure.
• Develop rigorous evaluation suites and diagnostic tools to assess model readiness for deployment.
• Strengthen feedback loops from real-world product usage, incorporating both explicit and implicit user signals into post-training.
• Collaborate with tooling, product, and training teams to improve the usefulness, reliability, and agentic capabilities of frontier models.
• Closely liaise with research, engineering and cross-functional teams to determine which integrations are production-ready for inclusion in major model releases.

AI Research Engineer – Agentic Post-training

AI Research Engineer innovating post-training methodologies at Tether for agentic behavior and tool use optimization. Engaging in cutting-edge AI research on large language models and decision-making.

program-manager

• Assist in the rigorous tracking of engineering and product team performance by updating dashboards and verification logs
• Maintain and organize operational standards, coordination protocols, and technical standards within Confluence to ensure department-wide visibility
• Provide administrative support in the tracking and reporting of OKRs on the agreed-upon cadence
• Update and monitor the hiring pipeline data to ensure the leadership team has an accurate view of candidate influx and resource needs
• Support in-depth due diligence by gathering necessary data and documentation to verify that teams are functioning as intended
• Assist in overseeing budget spreadsheets and expenditure logs to help identify potential cost overruns or inefficiencies.

Program Manager Associate

Data Maintenance & Reporting role supporting Engineering and Product departments at Tether. Collaborating on operational excellence and tracking performance metrics for team success.

research-engineer

• Pioneer multimodal and video-centric research that moves fast and breaks ground, contributing directly to usable prototypes and scalable systems.
• Design and implement novel AI architectures for multimodal language models, integrating text, visual, and audio modalities.
• Engineer scalable training and inference pipelines optimized for large-scale multimodal datasets and distributed GPU systems across thousands of GPUs.
• Optimize systems and algorithms for efficient data processing, model execution, and pipeline throughput.
• Build modular tools for preprocessing, analyzing, and managing multimodal data assets (e.g., images, video, text).
• Collaborate cross-functionally with research and engineering teams to translate cutting-edge model innovations into production-grade solutions.
• Prototype generative AI applications showcasing new capabilities of multimodal foundation models in real-world products.
• Develop benchmarking tools to rigorously evaluate model performance across diverse multimodal tasks.

Senior Research Engineer – Multimodal, Video Foundation Model

AI researcher driving innovation in multimodal and video foundation model architecture at Tether. Engaging in cutting-edge research and development of scalable AI architectures and tools.

Tether.to

About the company

Open jobs

7 jobs found

AI Harness Engineer

Tether.to

Technical Lead – GPU Infrastructure

Tether.to

Senior Software Architect

Tether.to

AI Research Engineer – Kernel & Inference Optimization

Tether.to

AI Research Engineer – Agentic Post-training

Tether.to

Program Manager Associate

Tether.to

Senior Research Engineer – Multimodal, Video Foundation Model

Tether.to