Sr Software Engineer - Engineer

What you'll do

• Design and optimize scalable, low-latency search and AI-serving systems, including GPU inference and real-time feature serving.
• Integrate and productionize LLMs and machine-learning models for retrieval, ranking, and personalization.
• Improve reliability, observability, experimentation, and production performance; troubleshoot complex system issues.

What they ask for

• 5+ years of professional software engineering experience building large-scale backend or distributed systems.
• Strong programming skills in Go, Java, C++, Python, or a similar language.
• Experience building high-throughput, low-latency online serving systems and experience with search, recommendation, ranking, ML serving, or other large-scale data-intensive systems.
• Experience operating production systems, including observability, monitoring, capacity planning, incident response, and reliability engineering.

Nice to have

• Experience building search and recommendation systems and hands-on experience with search technologies such as Elasticsearch, OpenSearch, Solr, Vespa, or Lucene.
• Experience with LLM/ML model-serving infrastructure or optimizing GPU-based inference workloads.

Pay

USD $202,000 per year - USD $224,000 per year (base salary, San Francisco, CA); USD $202,000 per year - USD $224,000 per year (base salary, Sunnyvale, CA)

Tools

Go, Java, C++, Python, Kafka, Flink, Spark, Elasticsearch

AI focus

Builds AI-native search infrastructure, integrating LLM and ML models for retrieval, ranking, and personalization, and optimizing GPU inference and model serving.