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Senior Software Backend Engineer, Platform Computing
- United States
- United States
À propos
We are seeking a Senior Software Backend Engineer, Platform Computing to integrate and operate the compute layer that powers data processing and model inference across Iambic's drug discovery platform. You will work within the Software Platform team, partnering with ML engineers and scientists to ensure production workloads are reliable, performant, and scalable. Your focus will be on integrating and operating compute infrastructure and orchestration systems that enable scientific workflows across the platform. This position will be based at our San Diego Headquarters. Key Responsibilities
Integrate and maintain the compute layer supporting data processing and model inference workflows in production Ensure reliable and performant execution of workloads through monitoring, troubleshooting, and failure resolution Operate and extend workflow orchestration systems (e.g., Prefect, Coiled, Modal or similar frameworks) Support deployment and execution of ML model outputs in production environments Enable scientific workflows by integrating external data sources and supporting analysis and inference workloads within and outside of Insight (e.g., large-scale assay refits) Collaborate with ML engineers and cross-functional teams to translate model capabilities into production-ready systems Integrate new compute capabilities into the platform as they are developed, ensuring scalability and flexibility Establish and maintain best practices for reliability, observability, and operational support Qualifications
10+ years of relevant experience with a Bachelor's degree; or 8 years and a Master's degree; or equivalent experience Strong software engineering skills with proficiency in Python Experience integrating and operating distributed or cloud-based systems in production Familiarity with workflow orchestration frameworks (e.g., Prefect, Modal, Coiled, Airflow or similar) Experience supporting data processing or compute-intensive workloads, including troubleshooting and performance optimization Familiarity with containerization and deployment patterns (e.g., Docker, Kubernetes) Solid understanding of cloud infrastructure (AWS preferred), including compute, networking, and storage Ability to collaborate effectively with ML engineers to operationalize model outputs (e.g., working with PyTorch, Hugging Face, or similar frameworks at the integration level) Experience working with data-intensive or scientific workflows is a plus Demonstrates strong engineering rigor, including testing, version control, code quality, and observability practices About Iambic Therapeutics Iambic is a clinical-stage life-science and technology company developing novel medicines using its AI-driven discovery and development platform. Based in San Diego and founded in 2020, Iambic brings together pioneering AI experts and experienced drug hunters. The Iambic platform has demonstrated delivery of new drug candidates to human clinical trials with unprecedented speed and across multiple target classes and mechanisms of action. Iambic is advancing a pipeline of potential best-in-class and first-in-class clinical assets, both internally and in partnership, to address urgent unmet patient need. Mission & Core Values Our mission is to deliver better medicines through innovations in AI-based discovery technologies. The culture and work at Iambic Therapeutics are profoundly strengthened by the diversity of our people and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. We are committed to building an inclusive environment where a diverse group of talented humans work together to discover therapeutics and create technologies. Pay and Benefits We offer industry leading competitive pay, company paid healthcare, flexible spending accounts, voluntary life insurance, 401K matching, and uncapped vacation to our team. We are in a brand-new state-of-the art facility in beautiful San Diego with an onsite gym, dining, and easy access to great places to live and play.
Compétences linguistiques
- English
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