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About the Role

Microsoft AI is seeking experienced Software Engineers to build and maintain the compute infrastructure software that powers frontier AI models at a global scale. This role involves designing and implementing control planes, APIs, and automation for large-scale GPU systems, focusing on transforming raw compute capacity into secure, observable, and reliable clusters. You will play a key role in improving production time, fleet availability, and researcher velocity by automating operational workflows and failure modes.

Responsibilities

Design and build distributed services, control planes, and platform APIs for the end-to-end lifecycle of AI compute clusters.
Build foundational primitives for repeatable and secure capacity enablement, including cluster bootstrap, Kubernetes control planes, networking, and infrastructure as code.
Own software systems to automate rack and node qualification, topology validation, and scale testing for faster cluster bring-up.
Develop the node and fleet health platform to detect, isolate, and remediate unhealthy components with minimal human intervention.
Build policy-driven and agent-assisted automation for certification, maintenance, and software rollouts/rollbacks.
Use production evidence, benchmarks, and fault injection to improve system architecture, efficiency, and recovery times.
Translate incidents and operational work into durable software, stronger abstractions, and automated guardrails.
Partner with various teams to shape the long-term architecture of Microsoft AI compute infrastructure.
Provide technical leadership through design reviews, architecture decisions, code quality, and mentoring.
Embody our culture and values.

Requirements

Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field AND 4+ years of software engineering experience building production distributed systems, infrastructure platforms, or control-plane services OR equivalent experience.
4+ years of experience designing and implementing scalable software for cloud, datacenter, cluster, or fleet infrastructure using one or more general-purpose languages such as Go, Rust, C++, C#, Java, or Python.
Experience with Kubernetes or comparable cluster-orchestration systems, Linux systems, public-cloud infrastructure, and infrastructure-as-code or declarative configuration.
Demonstrated ability to debug complex behavior across service, control-plane, operating-system, networking, and hardware boundaries and turn findings into robust software improvements.
Experience leading projects across multiple teams and communicating technical tradeoffs clearly to engineering and non-engineering stakeholders.
Master's Degree in Computer Science or a related technical field AND 6+ years of software engineering experience building distributed systems or infrastructure platforms OR equivalent experience.
Experience building or managing compute infrastructure at hyperscale.
Experience with cluster and node lifecycle systems.
Depth in Kubernetes internals or related orchestration technologies.
Experience building cloud foundations.
Experience designing health, diagnostics, and remediation platforms.
Low-level systems experience with Linux kernels, device drivers, firmware, BMC or Redfish, secure boot or attestation, virtualization, or hardware-health agents.
Experience with GPU or accelerator systems and high-performance interconnects.
Experience owning production reliability and incident response while systematically eliminating recurring toil through software and automation.
Dedication to writing clean, testable, maintainable, secure, and well-documented code.
Ability to create alignment across senior stakeholders, mentor engineers, and drive complex multi-quarter technical initiatives.
Passion for learning rapidly evolving infrastructure technologies.

Skills

Distributed systems
Infrastructure platforms
Control-plane services
Go
Rust
C++
C#
Java
Python
Kubernetes
Linux systems
Public-cloud infrastructure
Infrastructure-as-code
Declarative configuration
Debugging complex behavior
Project leadership
Technical communication
Hyperscale compute infrastructure
Cluster lifecycle management
Node lifecycle management
Kubernetes internals
Orchestration technologies
Cloud foundations
Virtual networking
CNI
Private connectivity
DNS
Workload identity
RBAC
Secrets management
Image and artifact distribution
Terraform
Health platforms
Diagnostics platforms
Remediation platforms
Event-driven architectures
Durable workflows
State machines
Telemetry pipelines
Automated decisioning
Safe recovery mechanisms
Linux kernels
Device drivers
Firmware
BMC
Redfish
Secure boot
Attestation
Virtualization
Hardware-health agents
GPU systems
Accelerator systems
High-performance interconnects
InfiniBand
RoCE
RDMA
NVLink
NCCL
Collective communication
High-performance storage
Data movement
Production reliability
Incident response
Software automation
Clean code
Testable code
Maintainable code
Secure code
Well-documented code
Scalability
Operability
Platform evolution
Stakeholder alignment
Mentoring engineers
Technical initiative leadership
Infrastructure technologies

Location

United Kingdom

Work Type

Onsite (minimum 4 days/week if within specified distance of office)

Experience Level

4+ years of software engineering experience
6+ years of software engineering experience (preferred)

Education Level

Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field
Master's Degree in Computer Science or a related technical field (preferred)

Salary/Compensations

£ 93,500.00 - £ 161,800.00 per year

Benefits

Certain roles may be eligible for benefits and other compensation.

About the Company

Microsoft AI's mission is to build AI that amplifies human potential and empowers people around the world, striving to deliver breakthroughs that advance science, education, productivity, and global well-being.
We partner with incredible product teams, giving our models the chance to reach billions of users and create immense positive impact.
We are looking for brilliant, highly-ambitious, and low-ego individuals to join us in working on our next generation of models.

Equal Opportunity

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.
If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.