# Senior Software Engineer

**Company**: CoreWeave
**Location**: Livingston, NJ
**Experience**: senior
**Job type**: full-time
**Salary**: $153,000 to $204,000
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/coreweave/jobs/4710738006?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_2580c0ca-00c

## Description

CoreWeave is The Essential Cloud for AI. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence.

The Runtime & GPU Systems team builds and operates secure, high-performance environments for multi-tenant Kubernetes platforms at scale. As a GPU & Runtime Systems Engineer, you will design, build, and evolve secure sandboxed runtime environments for Kubernetes workloads, focusing on runtime isolation, performance, and security.

Responsibilities:

- Design and implement secure execution environments for containerized and virtualized workloads.

- Build GPU-aware scheduling, isolation, and resource management strategies for multi-tenant workloads.

- Optimize container, VM, and I/O performance across GPU-accelerated workloads.

- Conduct profiling, benchmarking, and performance tuning for runtime, virtualization, and GPU stacks.

- Contribute to architectural decisions across Linux internals, container runtimes, virtualization layers, and GPU drivers.

- Collaborate with security, platform, and infrastructure teams to define and implement runtime isolation and performance standards.

Requirements:

- 3+ years of experience in systems, platform, infrastructure, or production engineering at scale.

- Strong hands-on experience with Kubernetes, container orchestration, and cloud-native architectures.

- Experience designing, implementing, or operating secure execution environments.

- Practical experience with lightweight virtualization and sandboxing technologies.

- Experience supporting GPU-accelerated workloads in multi-tenant environments.

- Proficient in systems-oriented programming with strong Linux internals knowledge.

- Skilled at diagnosing and resolving complex performance, reliability, or isolation issues.

Preferred:

- Experience building systems for safely executing untrusted or sensitive workloads in shared environments.

- Familiarity with GPU drivers and low-level virtualization or I/O optimization techniques.

- Experience defining threat models and implementing runtime security policies in multi-tenant systems.

The base salary range for this role is $153,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We offer a comprehensive benefits program, including medical, dental, and vision insurance, company-paid Life Insurance, short and long-term disability insurance, flexible spending account, health savings account, tuition reimbursement, and more.

## Skills

### Required
- Kubernetes
- container orchestration
- cloud-native architectures
- secure execution environments
- lightweight virtualization
- sandboxing technologies
- GPU-accelerated workloads
- Linux internals
- systems-oriented programming

### Nice to have
- building systems for safely executing untrusted or sensitive workloads
- GPU drivers
- low-level virtualization
- I/O optimization techniques
- defining threat models
- implementing runtime security policies

---

Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/coreweave/jobs/4710738006?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)