Job Description
Join QuantumLeap's elite AI/ML engineering team in the heart of San Francisco's tech hub. We're revolutionizing enterprise AI solutions and seeking a visionary Senior Software Engineer to architect scalable ML pipelines. Work alongside PhD-level researchers and build cutting-edge systems that process petabytes of data daily. Enjoy unlimited PTO, $10k annual learning stipend, and state-of-the-art facilities in our LEED-certified downtown campus.
Responsibilities
- Design and implement distributed ML serving infrastructure using Kubernetes and TensorFlow Serving
- Optimize data processing pipelines for real-time inference at 99.99% SLA
- Mentor junior engineers and conduct technical design reviews
- Develop CI/CD automation for model deployment and monitoring
- Collaborate with product teams to translate business requirements into scalable architectures
- Contribute to open-source ML infrastructure projects
Qualifications
- 5+ years experience in production-level ML infrastructure development
- Expertise in Python, Go, and cloud-native technologies (AWS/GCP)
- Deep understanding of distributed systems and microservices architecture
- Proven track record of optimizing high-throughput data pipelines
- Strong background in MLOps tools (MLflow, Kubeflow, Airflow)
- BS/MS in Computer Science or equivalent practical experience
- Published papers at ML conferences or major open-source contributions