Engineering Manager, Runtime Fabric (Storage Products)

Baseten; Toronto; In loco; CAD 235.000 - 470.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity compensation

Medical, dental, vision insurance (US)

Flexible PTO

Parental leave

Fertility and family-building stipend

401(k)

Descrizione del lavoro

Baseten is seeking an Engineering Manager for the Runtime Fabric team to drive technical direction and build a world-class systems engineering group. You will own container startup performance, GPU-aware isolation, and multi-tenant inference strategies while aligning with product and leadership on long-term roadmaps.

You will collaborate across functions to ensure the integration and reliability of the Runtime Fabric across Baseten's platform, contributing to open-source ecosystem work and

Competenze

• Proven experience managing engineering teams in systems, infrastructure, or low-level runtime contexts.
• Deep familiarity with the Linux container ecosystem: containerd, runc, OCIRuntime, Linux namespaces, and cgroups; able to engage Credibly in code reviews.
• Strong systems programming background in Go and/or C/C++.

Mansioni

• Lead and grow the Runtime Fabric team, setting technical direction and roadmap.
• Guide improvements to containerd, runc, and related OCI projects to meet GPU-specific production AI needs.
• Oversee Baseten Delivery Network expansion to include container images and deployment artifacts; ensure end-to-end performance.

Conoscenze

Team leadership

Linux container ecosystem

Go / C/C++

Distributed storage

Strumenti

containerd

runc

OCI Runtime

Linux namespaces

cgroups

Descrizione del lavoro

About BasetenBaseten powers mission-critical inference for the world's most dynamic AIcompanies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer.By uniting applied AI research, flexible infrastructure, and seamless developertooling, we enable companies operating at the frontier of AI to bringcutting-edge models into production. We're growing quickly and recently raisedour $1.5B Series F, led by Altimeter Capital, Conviction Partners, and SparkCapital. Join us and help build the platform engineers turn to ship AI products.

THE ROLE

Container runtimes were designed for general-purpose software workloads. AIinference is not a general-purpose workload.

Running large models at production scale exposes cracks in every layer of thecontainer stack: runtimes unaware of GPU memory constraints, images that takeminutes to pull when a model needs to scale to thousands of replicas, andisolation mechanisms that weren't designed for the multi-tenant servingenvironments that production AI requires. The tools the industry has relied onfor a decade weren't built for this, and patching around those limitations athigher layers only goes so far.

Baseten owns the entire pipeline, from the moment a developer pushes a model tothe moment a request gets a response. That vertical ownership means we can fixthese problems at the root. The Runtime Fabric team is doing exactly that:purpose-building the container runtime and storage layers for AI inferenceworkloads, led by some of the world's top containerd maintainers.

As Engineering Manager of the Runtime Fabric team, you will lead this work,setting technical direction, growing a world-class team of systems engineers,and ensuring the team's output shapes not just Baseten's infrastructure but theopen-source container ecosystem at large. If you've contributed to containerd,runc, or related OCI projects and are ready to lead a team solving some of thehardest problems in infrastructure today, we'd love to talk.

Responsibilities

Team Leadership & Culture

• Recruit, hire, and develop a high-performing team of systems engineers with deep container and Linux expertise.
• Foster a culture of technical rigor, open-source contribution, and continuous improvement.
• Provide regular coaching, feedback, and career development support to your direct reports.
• Partner with engineering leadership to define the long-term vision androadmap for container runtime and storage infrastructure.

Technical Direction

• Guide the team in extending and hardening containerd, runc, and related OCI ecosystem projects to meet the GPU-specific requirements of production AI inference, including startup performance, GPU device access, and multi-tenant isolation.
• Oversee the architecture and evolution of the Baseten Delivery Network: the tiered caching and weight delivery system that makes cold starts 2–3x faster and eliminates thundering herd failures during burst scaling events.
• Drive the expansion of BDN's architecture, currently focused on model weights, to container images, training checkpoints, and deployment artifacts.
• Provide technical oversight on GPU-aware isolation mechanisms for multi-tenant inference, including secure container runtimes, Linux namespace hardening, and longer-term micro-VM integration.
• Ensure the team maintains end-to-end ownership of the container startup performance path, from snapshotter initialization through weight delivery to first inference request.
• Champion the team's contributions back to the open-source containerd ecosystem alongside a team of core maintainers.

Cross-Functional Partnership

• Act as the primary advocate for Runtime Fabric across the organization,ensuring upstream and downstream teams have the integration support theyneed.
• Collaborate with product and engineering stakeholders to prioritizeinvestments based on business impact and infrastructure reliability.
• Communicate team progress, technical trade-offs, and architectural decisionsclearly to leadership.

Requirements

• Proven experience managing and growing engineering teams in a systems,infrastructure, or low-level runtime context.
• Deep familiarity with the Linux container ecosystem: containerd, runc, OCIRuntime Spec, Linux namespaces, and cgroups, with the ability to engagecredibly in code reviews and architectural discussions.
• Contributions to containerd/containerd, opencontainers/runc, google/gvisor,kata-containers/kata-containers, or closely related open-source projects.
• Strong systems programming background in Go and/or C/C++.
• Experience with distributed storage systems, content-addressable storage, orlarge-scale caching infrastructure.
• Understanding of how container images are structured, stored, and deliveredat scale.
• Strong written and verbal communication skills, with the ability to influencewithout authority across teams.

NICE TO HAVE

• Experience with GPU device access in containers: NVIDIA Container Toolkit,CDI (Container Device Interface), or GPU-aware scheduling.
• Familiarity with lazy-loading snapshotters (stargz, soci, EROFS/Nydus) orpeer‑to‑peer image distribution.
• Experience with secure container runtimes (gVisor, Sysbox) or micro‑VMtechnologies (Firecracker, Cloud Hypervisor).
• Understanding of containerd's shim API (v2) and experience building customshim implementations.
• Background in multi‑tenant infrastructure or security‑sensitive servingenvironments.

Benefits

• Competitive compensation, including meaningful equity
• (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
• Flexible PTO policy including company wide Winter Break (our offices areclosed from Christmas Eve to New Year's Day!)
• Paid parental leave
• Fertility and family-building stipend through Carrot
• (U.S. only) Company-facilitated 401(k)
• Exposure to a variety of ML startups, offering unparalleled learning andnetworking opportunities.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Compensation Range: $165K - $330K