Software Engineer (AI Infra Visibility)

Формат работы

onsite

Тип работы

fulltime

Грейд

middle

Английский

Страна

Описание вакансии

Текст:

TL;DR

Software Engineer (AI Infra Visibility): Design, build, and scale backend systems for AI and GPU cluster observability with an accent on high-performance distributed systems that power telemetry ingestion, data processing, and APIs. Focus on detecting complex infrastructure issues that impact AI workloads.

Location: On Site, Palo Alto, California

Company

Clockwork Systems is pioneering a software-driven approach to AI fabrics by delivering cross-stack observability, workload fault tolerance, and performance acceleration.

What you will 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.

Requirements

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)