
11 - 50 employees
🤖 Artificial Intelligence
🔧 Hardware
🏢 Enterprise
Artificial Intelligence • Hardware • Enterprise
Delos Data is a company of software, system, and silicon experts building specialized interconnects and infrastructure optimized for AI inference. They focus on distributing compute and memory efficiently to make inference faster and more responsive, offering real-time visibility into always-on AI infrastructure and positioning their technology for enterprise AI deployments. Delos emphasizes inference-specific networking and hardware design rather than repurposing HPC or cloud training solutions, and they engage with the AI community at events like NVIDIA GTC.
🕒 March 18
🇺🇸 United States – Remote
💵 $140k - $200k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
⚙️ Software Development Engineer in Test (SDET)
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11 - 50 employees
🤖 Artificial Intelligence
🔧 Hardware
🏢 Enterprise
Artificial Intelligence • Hardware • Enterprise
Delos Data is a company of software, system, and silicon experts building specialized interconnects and infrastructure optimized for AI inference. They focus on distributing compute and memory efficiently to make inference faster and more responsive, offering real-time visibility into always-on AI infrastructure and positioning their technology for enterprise AI deployments. Delos emphasizes inference-specific networking and hardware design rather than repurposing HPC or cloud training solutions, and they engage with the AI community at events like NVIDIA GTC.
• Design, develop, and maintain a robust automated testing framework from the ground up that supports distributed AI training and inference workloads. • Develop complex test plans that go beyond unit tests, focusing on end-to-end system integration, stress testing, and hardware-software boundary conditions. • Partner closely with System Engineers to debug deep-seated issues in distributed clusters, using telemetry and profiling tools to identify bottlenecks.
• Strong proficiency in Python (for automation and orchestration). • Proven experience building or extending test automation frameworks for complex back-end systems. • Proven ability to troubleshoot automated test failures within complex large-scale distributed systems, and identify root causes. • Experience with containerization (Docker/Kubernetes) and modern CI/CD tools (GitHub Actions, GitLab CI, or Jenkins).
• meaningful equity • benefits • 401k
Apply Now🕒 March 14
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