Senior Software Engineer - AI Infra Visibility
Role summary
Clockwork Systems is seeking a Senior Software Engineer to design and build scalable backend systems for AI and GPU cluster observability. This role involves working on high-performance distributed systems for telemetry ingestion, data processing, and APIs to monitor large-scale GPU clusters and AI workloads. The ideal candidate will have 7+ years of experience in production software systems, a strong foundation in data structures, algorithms, and software design, and fluency in languages like C, C++, Go, Java, or Python. Experience with distributed systems, service-oriented architectures, cloud platforms (AWS, GCP, Azure), databases, and operating systems fundamentals is required. Familiarity with networking protocols, GPU/AI infrastructure, and observability systems is a plus.
About Clockwork Systems
Clockwork.io – Software Driven Fabrics to increase GPU cluster utilization
Clockwork Systems was founded by Stanford researchers and veteran systems engineers who share a vision for redefining the foundations of distributed computing. As AI workloads grow increasingly complex, traditional infrastructure struggles to meet the demands of performance, reliability, and precise coordination. Clockwork is pioneering a software-driven approach to AI fabrics by delivering
cross-stack observability
to catch and quickly resolve problems,
workload fault tolerance
to keep jobs running through failures, and
performance acceleration
that dynamically routes and paces traffic to avoid congestion.
To learn more, visit
www.clockwork.io
.
About The Role
We are looking for a strong
Senior Software Engineer
to help design and build scalable 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
- 7+ 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
.
- Experience designing, building, and scaling
large distributed systems
.
- Hands-on experience with
service-oriented architectures
and
cloud platforms
(AWS, GCP, Azure).
- 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.
Enjoy
- Challenging projects.
- A friendly and inclusive workplace culture.
- Competitive compensation.
- A great benefits package.
- Catered lunch.
Compensation for this position will vary based on the skills and experience you bring, as well as internal equity considerations. For candidates hired at the posted level, the expected base salary range is $150,000 - $230,000. The offered compensation package may also include stock options or other equity awards, subject to Clockwork’s equity program and applicable approvals.
*Clockwork Systems is an equal opportunity employer. We are committed to building world-class teams by welcoming bright, passionate individuals from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, religion, age, sex, sexual orientation, gender identity or expression, national origin, disability, or protected veteran status. We believe diversity drives innovation, and we grow stronger together.*