About The Role

We are looking for a strong Software Engineer to help design, build, and scale backend systems for AI and GPU cluster observability. In this role, you will work on high-performance distributed systems that power telemetry ingestion, data processing, and APIs for monitoring large-scale GPU clusters and AI workloads.

What You’ll Do

• Design and build scalable backend systems for metric collection, processing, and analysis.
• Develop robust methods to detect complex infrastructure issues that impact AI workloads.
• Build large distributed systems running in production environments.
• Collaborate across teams to deliver reliable, performant, and maintainable systems.

What We Are Looking For

• 2+ years of industry experience building and operating production software systems.
• Strong foundation in data structures, algorithms, and software design.
• Fluency in one or more programming languages: C, C++, Go, Java, or Python.
• Solid understanding of operating systems fundamentals (threads, scheduling, synchronization; kernel programming is a plus).
• Experience with databases, including design, development, or scaling.
• Excellent debugging, problem-solving, and communication skills.

Nice to Have

• Knowledge of networking protocols; familiarity with NIC architecture and operation.
• Understanding of GPU or AI infrastructure (e.g., DCGM, PyTorch).
• Familiarity with observability systems (metrics, logs, traces); experience with OpenTelemetry, Prometheus, or distributed tracing is a bonus.
• Experience designing, building, and scaling large distributed systems.
• Hands-on experience with service-oriented architectures and cloud platforms (AWS, GCP, Azure)

Enjoy

• Challenging projects.
• A friendly and inclusive workplace culture.
• Competitive compensation.
• A great benefits package.
• Catered lunch.