Senior Staff Software Engineer, Serving

Liftoff, United States (remote)

What you will do

Design, build, and operate the high-throughput, low-latency services that receive bid requests, execute Liftoff’s bidding logic, and respond to ad exchanges in real time.
Improve the performance, scalability, and reliability of systems that process millions of requests per second under strict latency constraints.
Develop and optimize GPU-powered inference services that execute neural network models using TensorRT.
Profile end-to-end inference pipelines to identify and eliminate bottlenecks in GPU utilization, batching, memory access, serialization, networking, and request handling.
Partner with machine learning engineers to productionize new model architectures and features, translating modeling requirements into efficient and reliable serving implementations.

Liftoff, United States (remote)

$219K–$310K

a year

This base pay is above the median for staff inference and ML systems jobs in the US.

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.

The Liftoff site opens in a new tab.

Compare your résumé with this job. See where you match, what is missing and which lines to change.

Design, build, and operate the high-throughput, low-latency services that receive bid requests, execute Liftoff’s bidding logic, and respond to ad exchanges in real time.
Improve the performance, scalability, and reliability of systems that process millions of requests per second under strict latency constraints.
Develop and optimize GPU-powered inference services that execute neural network models using TensorRT.
Profile end-to-end inference pipelines to identify and eliminate bottlenecks in GPU utilization, batching, memory access, serialization, networking, and request handling.
Partner with machine learning engineers to productionize new model architectures and features, translating modeling requirements into efficient and reliable serving implementations.