- North Bridge Road Downtown Core Central Region (Singapore) Singapore
Full Time Staff Software Engineer Jobs, Salary up to SGD 29,000 in COREWEAVE SINGAPORE PTE. LTD. Central Region (Singapore) - Maukerja
Staff Software Engineer
COREWEAVE SINGAPORE PTE. LTD.
Share
Save
Working Location
Job Description
Responsibilities
What You’ll Do:
As a
Staff Software Engineer
on the
AI Workload Orchestration Platform
team, you will act as a technical leader for CoreWeave’s Kubernetes-native orchestration strategy for AI workloads.
You will define and evolve the architecture for how AI workloads are admitted, scheduled, and governed across large GPU clusters using frameworks such as
Kueue, Volcano, and Ray
. This platform serves as a strategic complement to
SUNK (Slurm on Kubernetes)
and underpins both training and inference workloads across the CoreWeave cloud.
This role requires strong systems thinking, cross-team influence, and a long-term view of platform scalability, reliability, and developer experience.
About the role:
Own the technical vision and architecture for major portions of the AI Workload Orchestration Platform
Design scalable, reliable orchestration primitives for AI workloads across multiple schedulers and runtimes
Lead cross-team architecture reviews and drive alignment across infrastructure, CKS, and managed inference teams
Define platform standards for reliability, observability, capacity management, and operational excellence
Identify and resolve systemic performance, scalability, and fairness issues across large GPU clusters
Mentor senior engineers and grow technical leadership within the organization
Represent the platform in technical reviews and influence broader CoreWeave platform strategy
Who You Are:
8+ years of professional software engineering experience, with deep expertise in distributed systems or cloud platforms
Strong proficiency in
Go
and experience designing large-scale, long-lived production systems
Deep knowledge of
Kubernetes internals
, scheduling mechanisms, and controller-based architectures
Demonstrated experience designing or evolving orchestration, scheduling, or resource-management platforms
Proven ability to lead technical initiatives across teams without direct authority
Strong operational mindset with experience owning mission-critical systems at scale
Preferred qualifications:
Hands-on experience with
Kueue, Volcano, Ray
, or similar Kubernetes-native orchestration frameworks
Background in AI infrastructure, ML platforms, HPC, or large-scale batch and streaming systems
Deep understanding of scheduling concepts including
fairness, pre-emption, quota management, and multi-tenant isolation
Experience defining and operating
SLOs
, capacity models, and large-scale reliability improvements
Contributions to open-source infrastructure or orchestration projects
Wondering if you’re a good fit? We believe in investing in our people and value candidates who can bring their diverse experiences to our teams – even if you aren't a 100% skill or experience match.
Why CoreWeave?
At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:
Be Curious at Your Core
Act Like an Owner
Empower Employees
Deliver Best-in-Class Client Experiences
Achieve More Together
We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!
The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
As a
Staff Software Engineer
on the
AI Workload Orchestration Platform
team, you will act as a technical leader for CoreWeave’s Kubernetes-native orchestration strategy for AI workloads.
You will define and evolve the architecture for how AI workloads are admitted, scheduled, and governed across large GPU clusters using frameworks such as
Kueue, Volcano, and Ray
. This platform serves as a strategic complement to
SUNK (Slurm on Kubernetes)
and underpins both training and inference workloads across the CoreWeave cloud.
This role requires strong systems thinking, cross-team influence, and a long-term view of platform scalability, reliability, and developer experience.
About the role:
Own the technical vision and architecture for major portions of the AI Workload Orchestration Platform
Design scalable, reliable orchestration primitives for AI workloads across multiple schedulers and runtimes
Lead cross-team architecture reviews and drive alignment across infrastructure, CKS, and managed inference teams
Define platform standards for reliability, observability, capacity management, and operational excellence
Identify and resolve systemic performance, scalability, and fairness issues across large GPU clusters
Mentor senior engineers and grow technical leadership within the organization
Represent the platform in technical reviews and influence broader CoreWeave platform strategy
Who You Are:
8+ years of professional software engineering experience, with deep expertise in distributed systems or cloud platforms
Strong proficiency in
Go
and experience designing large-scale, long-lived production systems
Deep knowledge of
Kubernetes internals
, scheduling mechanisms, and controller-based architectures
Demonstrated experience designing or evolving orchestration, scheduling, or resource-management platforms
Proven ability to lead technical initiatives across teams without direct authority
Strong operational mindset with experience owning mission-critical systems at scale
Preferred qualifications:
Hands-on experience with
Kueue, Volcano, Ray
, or similar Kubernetes-native orchestration frameworks
Background in AI infrastructure, ML platforms, HPC, or large-scale batch and streaming systems
Deep understanding of scheduling concepts including
fairness, pre-emption, quota management, and multi-tenant isolation
Experience defining and operating
SLOs
, capacity models, and large-scale reliability improvements
Contributions to open-source infrastructure or orchestration projects
Wondering if you’re a good fit? We believe in investing in our people and value candidates who can bring their diverse experiences to our teams – even if you aren't a 100% skill or experience match.
Why CoreWeave?
At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:
Be Curious at Your Core
Act Like an Owner
Empower Employees
Deliver Best-in-Class Client Experiences
Achieve More Together
We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!
The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
Important Information
Never provide your bank or credit card details when applying for jobs. Do not transfer any money or complete unrelated online surveys. If you see something suspicious, Report this Job ad.
Learn More