About the role

Aplyr's Quick Take

This role is focused on maintaining and improving a Kubernetes-based compute platform for AI workloads. You'll be responsible for cluster management, performance monitoring, and collaborating with training teams on fault tolerance and capacity planning. It's primarily an individual contributor position that requires strong systems engineering and coding skills.

Good fit

Ideal candidates have significant experience in systems engineering, particularly with cluster management and GPU infrastructure. A background in cloud storage and a hands-on, problem-solving work style will help you thrive here.

Worth noting

The company is building foundational AI technology with a mission to make superintelligence accessible, which could be appealing for those interested in cutting-edge AI. However, the role's specifics on day-to-day tasks are somewhat vague.

Our Mission

Reflection’s mission is to build open superintelligence and make it accessible to all.

We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.

About the Role

Reflection’s Compute Platform team specializes in keeping our compute layer healthy and highly available. We run a K8s-based platform distributed across multiple neo-clouds. We manage multi-cloud scheduling, node health, and performance debugging at this scale presents genuinely hard systems problems. More broadly, you will work closely with Reflection's training teams to co-design fault tolerance, node health checks, and remediation strategies.

What You’ll Do

Cluster Management: Build and maintain tools for the automatic remediation, topology-aware scheduling, capacity planning and rapid hardware debugging.
Platform Engineering: Design and iterate on our cluster management stack for workloads across large, multi-GPU fleets
Monitoring & Observability: Implement comprehensive cluster-wide monitoring, focusing on durability and active performance benchmarking.
Roadmap Execution: Prepare the infrastructure for next-generation GPU deployments and increasingly larger cluster sizes. Long-term, you will help own multi-cloud storage, petabyte-scale data replication, and GPU-to-GPU network performance.

What We’re Looking For

• Systems-level engineering experience with a focus on cluster-wide behavior and maintenance.

• Strong coding ability and a demonstrated focus on systems or GPU infrastructure.

• Deep GPU hardware knowledge beyond standard Kubernetes,e.g., familiarity with NCCL.

• Alignment with a K8s-first architecture

• Cloud storage expertise, specifically managing high-performance data products (like VAST) across multiple data centers, connecting those storage environments together and handling datasets and checkpointing at scale.

What We Offer:

We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.

We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.

Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.
Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.
Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.
Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time.
Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

Skills & Tags

node go kubernetes ai data product design

Aplyr's read

Reflection AI leverages artificial intelligence to foster personal and professional growth, attracting talent passionate about innovation in reflective practices.
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