Full-Time
Senior Solutions Engineer
Solutions Engineering, AI Networking
Posted on 8/15/2025
Clockwork Systems
1-10 employees
Advanced clock synchronization for distributed systems
No salary listed
Palo Alto, CA, USA
In Person
Occasional travel to conferences/events; on-site in Palo Alto, CA.
 Sales & Solution Engineering (2) |
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- 5+ years in a solutions architect or engineering role, preferably within cloud or AI infrastructure domains.
- Previous pre-sales experience, including POCs, with client stakeholders, including senior technical staff and management.
- Hands-on experience with cloud platforms (AWS, GCP, Azure, OCI).
- Strong understanding of Kubernetes and container orchestration.
- Familiarity with GPU infrastructure and related technologies.
- Extensive knowledge of networking protocols.
- Excellent communication and relationship-building abilities, with a customer-centric mindset.
- Demonstrated ability to troubleshoot complex technical issues and provide effective solutions.
- A degree in computer science, electrical engineering or related field.
- Proficiency with Python, SQL, and Linux (Golang, C, C++, and Java are a plus).
- Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
- Lead proof of concept evaluations to showcase the value of Clockwork's solutions within customer environments.
- Provide technical leadership during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
- Work closely with Clockwork's sales team to complete PoC evaluations and close deals.
- Collaborate with product and engineering teams, and identify opportunities for product enhancement.
- Offer valuable insights on product features, functionality, and performance, contributing to discussions about product strategy and architecture.
- Stay abreast of the latest developments and trends in AI networking, Kubernetes, and cloud computing, sharing your thought leadership with customers and internal stakeholders.
- Represent Clockwork at conferences and industry events, with occasional travel as required.
Clockwork Systems provides clock synchronization technology for mission-critical distributed systems, ensuring precise timing across operations. Its solutions run in both cloud and on-premises environments and are delivered through software licensing, subscriptions, and professional services. The company differentiates itself with deep timing expertise and end-to-end timing across networks, framed by tools like Latency Sensei for cloud latency monitoring. Its goal is to help customers achieve reliable, accurate synchronization to boost performance and reduce timing-related issues in time-sensitive applications.
Company Size
1-10
Company Stage
Early VC
Total Funding
$41.6M
Headquarters
Palo Alto, California
Founded
2018
Simplify's Take
What believers are saying
- Raised $20.6M Series A in 2022 led by NEA for FleetIQ launch.
- Serves hyperscalers, banks, pharma labs optimizing model training.
- Hired NetApp exec Suresh Vasudevan as CEO in 2025.
What critics are saying
- NVIDIA software stack bundles GPU management, blocks penetration in 12-24 months.
- Hyperscalers like Meta, Google build proprietary fabrics in 18-36 months.
- Customer concentration risks 30-50% revenue loss from one cloud exit.
What makes Clockwork Systems unique
- FleetIQ delivers microsecond visibility into GPU clusters for AI workloads.
- Software-driven fabric runs on NVIDIA, AMD, InfiniBand, RoCE, Ethernet.
- Stanford spinout founded 2018 extends clock sync to AI training.
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Benefits
Competitive Salary
Company News
Clockwork.io has launched TorchPass Workload Fault Tolerance, a software solution that eliminates costly GPU training failures through Live GPU Migration technology. The system allows AI training workloads to continue running through hardware failures, network disruptions and node crashes without requiring checkpoint restarts. The company claims TorchPass can save over $6 million annually in a typical 2,048-GPU deployment by reducing wasted training progress by 95%. In large clusters, it cuts lost time from approximately three hours per day to under ten minutes. Independent testing by SemiAnalysis found TorchPass delivered faster fault-tolerant performance than standard checkpoint-restart approaches and higher Model FLOPs Utilisation than leading open-source alternatives. The solution typically completes recovery in approximately three minutes whilst training continues uninterrupted. TorchPass is now available as part of Clockwork.io's FleetIQ platform.
Clockwork Raises $20.57 Million in Funding
Stanford spinout Clockwork has raised $20.6 million, led by NEA with participation from notable investors, to address AI's GPU inefficiency. The funding coincides with the launch of FleetIQ, a software solution aimed at enhancing GPU performance by improving communication between GPUs, clusters, and clouds. This innovation seeks to reduce crashes, shorten restarts, and increase utilization rates, making AI infrastructure more efficient and sustainable.