Senior Staff Software Engineer, Serving

Liftoff builds technology for mobile app growth and advertising. The Senior Staff Software Engineer will build and operate high-throughput, low-latency ad-serving systems, optimize GPU-powered model inference, and support machine learning teams with reliable serving infrastructure and tools.

Responsibilities:

• 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
• Design and operate large feature store fleets that provide low-latency access to real-time and precomputed features
• Develop benchmarking and performance-analysis tools that help engineers compare models, understand latency and throughput trade-offs, and identify regressions before deployment
• Improve experimentation tooling that allows machine learning teams to orchestrate offline training runs, evaluate candidate models, and maintain model leaderboards
• Own changes through their full lifecycle—from system design and implementation to testing, deployment, observability, capacity planning, incident response, and continued optimization

Requirements:

• Strong core Computer Science fundamentals (data structures, algorithms, system architecture)
• 10+ years of industry experience
• M.S.. or higher in Computer Science (or equivalent work experience)
• Experience with Go is a plus