Das ist der Job
About the role:Throughput.
Darum lohnt es sich
It operates as a distributed, international team spanning more than thirty countries across Europe, North America, Latin America, and APAC. About our client:Our client is a fast-scaling automation platform that operates cloud-native and AI infrastructure at scale.
By embedding autonomous decision-making directly into Kubernetes and cloud environments, the platform continuously optimizes performance, reliability, and efficiency in production, replacing tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change.The company is trusted by over two thousand organizations, including a number of globally recognized enterprises across technology, automotive, media, and financial services.
The business recently reached unicorn status following a strategic investment from a major corporate venture arm, with a valuation now in excess of one billion dollars and strong momentum behind its next phase of growth. Latency. KV cache utilization. Move those three numbers in the right direction, and two things happen.
Customers get faster, cheaper inference, and our client's margins improve. That is the entire thesis of this role. Every kernel you tune, every quantization scheme you ship, and every scheduler tweak you land shows up directly in a customer's p99 and on the P&L. This is a high-impact seat, and a high-autonomy one.
You will be given the room to lead the technical direction of inference optimization rather
