Top Tech Jobs & Startup Jobs

Serve as the named technical owner for a strategic customer, managing end-to-end GPU infrastructure (compute, networking, storage, facilities). Lead incident lifecycle, RCAs, RMA coordination, observability, capacity expansions, and cross-functional escalation while driving technical roadmaps and executive communications.

Build and ship full-stack features across Together AI's product surfaces (Playground, Model Garden, Fine-Tuning, File Management, Batch Processing, Model Evals). Own projects end-to-end from data model and API design to UI, instrument product analytics, monitor system health, and collaborate with design and product to deliver user value while improving frontend and full-stack quality.

Own and ship Commerce frontend features end-to-end: build typed React/Next.js UIs, consume APIs, ensure accessibility and observability, handle billing/payment edge cases, and iterate on product UX with product, design, and backend partners.

Architect and automate an AI-native GTM tech stack, centralize and maintain CRM/data warehouse integrity, lead Salesforce CPQ design and integrations, implement governance, and replace manual GTM tasks with intelligent automation to drive revenue outcomes.

Design and operate multi-petabyte, high-performance storage for large-scale AI/HPC clusters. Architect parallel filesystems and object stores, build Kubernetes-native storage operators, optimize RDMA/InfiniBand and NVMe-based data paths for 10–50 GB/s per node, implement multi-tier caching and prefetching, ensure observability and 99.9%+ uptime, and collaborate with ML/SRE teams while driving cost and performance improvements.

Develop and maintain a global AI cloud infrastructure, focusing on high-performance backend services, IaaS software, and robust observability solutions.

Design and build production systems for AI inference, optimize runtime services, and collaborate on AI solutions with researchers and engineers.

As a Senior Backend Engineer, you will develop foundational backend services, enhance existing systems, and ensure scalability and robustness in a generative AI cloud platform.

The role involves developing and optimizing GPU-accelerated kernels for ML/AI applications, collaborating with teams to enhance AI systems' performance.

The Senior Backend Engineer will optimize and build systems for the Inference Platform, focusing on low-latency, scalability, and performance for generative AI models. Responsibilities include enhancing request routing, developing auto-scaling systems, and collaborating with ML researchers to implement new model architectures in production.