AI Infrastructure Engineer
156k - 226k USD
On-site
Full Time
#Artificial Intelligence
#Machine Learning
#Research
#Systems Engineering
#Linux
#Containerization
#Virtualization
#Go
#Rust
#C++
#Networking
#Security
As a Software Engineer on the ML Infrastructure team, you will design and build the platform for our agent sandboxing platform: the secure, high-performance code execution layer powering our agentic workflows. This system underpins critical applications and research initiatives, and is deployed across both internal and customer-managed environments.
This position requires deep expertise in systems engineering: operating systems, virtualization, networking, containers, and performance optimization. Your work will directly enable agents to execute untrusted or user-submitted code safely, efficiently, and repeatedly, and with fast startup times, strong isolation guarantees, and support for snapshotting and inspection.
You will:
- Design and build the sandboxing platform for code execution across containerized and virtualized environments.
- Ensure strong isolation, security, and reproducibility of execution across user sessions and workloads.
- Optimize for cold-start latency, memory footprint, and resource utilization at scale.
- Collaborate across security, infra, and product teams to support both internal research use cases and enterprise customer deployments.
- Lead architecture reviews and own projects from design through deployment in fast-paced, cross-functional settings.
Ideally you'd have:
- 3+ years of experience building high-performance systems software (e.g. OS, container runtime, VMM, networking stack).
- Deep understanding of Linux internals, process isolation, memory management, cgroups, namespaces, etc.
- Experience with containerization and virtualization technologies (e.g., Docker, Firecracker, gVisor, QEMU, Kata Containers).
- Proficiency in a systems programming language such as Go, Rust, or C/C++.
- Familiarity with networking, security hardening, sandboxing techniques, and kernel-level performance tuning.
- Comfort working across infrastructure layers, from kernel modules to orchestration frameworks (e.g., Kubernetes).
- Strong debugging skills and the ability to make performance/security tradeoffs in production systems.
Nice to haves:
- Familiarity with LLM agents and agent frameworks (e.g., OpenHands, Agent2Agent, MCP).
- Experience running secure workloads in multi-tenant or untrusted environments (e.g., FaaS, CI sandboxes, remote notebooks).
- Exposure to snapshotting and restore techniques (e.g., CRIU, VM snapshots, overlayfs).
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
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