Primary record

Staff Infrastructure Engineer - Models

Tenstorrent Indexed employerBelgrade, Serbia
Source-hosted applyChecked 5h agoInternship
Apply at Tenstorrent

Tenstorrent receives this application through Greenhouse. Babu Careers does not claim delivery.

Workplace

hybrid

Employment

Internship

Published

Aug 11, 2026

Closes

No date supplied

The role

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.

Our AI Software Infrastructure team builds the Kubernetes-native applications, services, and platform tooling that power large-scale AI workloads across internal and customer-facing environments. In this role, you will design and operate the systems that make complex inference, training, CI/CD, and development workflows easier to deploy, scale, monitor, and support in production. If you enjoy building reliable backend and platform software, working close to infrastructure and automation, and helping raise the operational maturity of high-performance systems, this is where it all comes together.

This role is hybrid, based out of Belgrade, Serbia.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• Strong backend, infrastructure, or platform engineer with deep experience designing and running production workloads on Kubernetes.

• Strong understanding of Kubernetes-native application design, workload orchestration, scaling, reliability and production d

Requirements

Department: AI SW: Product SWE - Models Infrastructure