{"id":68791,"url":"https://alion.io/job/clockwork-senior-software-engineer-network-observability","title":"Senior Software Engineer – Network Observability","company":{"id":39049,"name":"Clockwork","domain":"clockwork.io","url":"https://alion.io/company/clockwork-io","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":95,"open_postings":6,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":252,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Palo Alto, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":140000,"max":210000,"currency":"USD","period":"year","gross":null,"usd_annual":210000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"C++","optional":false},{"name":"Datadog","optional":false},{"name":"DNS","optional":false},{"name":"Go","optional":false},{"name":"Grafana","optional":false},{"name":"InfiniBand","optional":false},{"name":"Linux","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Splunk","optional":false},{"name":"TCP/IP","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"eBPF","optional":true},{"name":"GCP","optional":true},{"name":"HPC","optional":true},{"name":"Kubernetes","optional":true},{"name":"NCCL","optional":true},{"name":"Tcpdump","optional":true},{"name":"Time Series Forecasting","optional":true},{"name":"Wireshark","optional":true}],"status":"live","first_seen_at":"2026-05-02T00:56:12Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-10-16T21:56:23Z","board_verified":true,"closed_at":null,"days_open":167,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":167},"description":"About Clockwork Systems\nClockwork.io - Software Driven Fabrics to increase GPU cluster utilization\nClockwork 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.\nTo learn more, visitwww.clockwork.io.\nAbout the Role\nWe are seeking an experienced Senior Software Engineer to contribute to the architecture, development, and scaling of a high-performance network monitoring and observability platform. This role will focus on building systems that provide deep visibility into RDMA, RoCE, InfiniBand, and TCP/IP networks. The ideal candidate has strong experience in distributed systems, Linux networking, and modern observability stacks (e.g., Grafana/Prometheus).\nWhat You Will Do\nDesign, develop, and scale high-performance network monitoring platforms for RDMA, RoCE, InfiniBand, and TCP/IP infrastructure.\nBuild backend telemetry services, observability dashboards, alerts, diagnostics, anomaly detection, SLA monitoring, and traffic analysis workflows.\nTroubleshoot complex production issues across application, OS, server, RDMA, and network layers while optimizing low-latency collection, aggregation, and alerting.\nCollaborate with cross-functional teams to deliver scalable solutions, improve engineering practices, automate operational workflows, and contribute to the technical direction of the platform.\nWhat We’re Looking For\nBachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.\nStrong hands-on programming experience in C++, Go, Python, Rust, or similar systems programming languages.\nProven experience delivering complex infrastructure projects and contributing to the design and implementation of distributed systems.\nExperience building distributed systems, backend services, telemetry pipelines, or observability platforms.\nHands-on experience with RDMA, RoCE, InfiniBand, or other high-performance network fabrics.\nFamiliarity with libibverbs, RDMA verbs, RDMA CM, queue pairs, completion queues, memory registration, and related RDMA concepts.\nStrong knowledge of Linux networking, TCP/IP, DNS, HTTP, routing, MTU, congestion control, packet loss, latency, and performance tuning.\nExperience with traceroute-style diagnostics, path discovery, network reachability checks, synthetic probes, or active network measurements.\nExperience with monitoring and visualization platforms such as Prometheus, Grafana, Datadog, Splunk, OpenTelemetry, or similar tools.\nStrong debugging skills across software, operating system, server, and network layers.\nExperience operating production systems in Linux-based environments.\nStrong technical judgment and ability to build reliable, scalable, and maintainable systems.\nNice to Have\nExperience supporting AI/ML, HPC, storage, or GPU cluster infrastructure workloads.\nExperience with large-scale RoCE or InfiniBand deployments.\nExperience with NCCL, distributed training infrastructure, or AI cluster diagnostics.\nExperience with eBPF, XDP, DPDK, perf, tcpdump, Wireshark, ethtool, iproute2, rdma-core, or Linux kernel networking tools.\nExperience with cloud infrastructure on AWS, GCP, or Azure.\nExperience with Kubernetes, service discovery, configuration management, and infrastructure automation.\nKnowledge of security, compliance, and infrastructure best practices.\nExperience designing time-series data systems, alerting pipelines, or high-cardinality telemetry platforms.\nEnjoy\nChallenging projects.\nA friendly and inclusive workplace culture.\nCompetitive compensation.\nA great benefits package.\nCatered lunch.\nCompensation 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 $140,000 - $210,000. The offered compensation package may also include stock options or other equity awards, subject to Clockwork’s equity program and applicable approvals.\nIn addition to cash compensation, this role is eligible to participate in the company’s equity program, which may include stock options granted in accordance with the company’s equity plan and subject to approval and applicable vesting schedules.\nClockwork 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. 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