archer56 · San Jose, California, United States
Skills: SQL, AWS, Docker
Headquartered in Silicon Valley, California, Archer is a leader in the next-gen aerospace sector building an end-to-end advanced air mobility platform that delivers air taxis, unmanned aircraft systems (“UAS”), aviation-related physical artificial intelligence (“AI”) solutions, and other technologies to customers worldwide across the commercial aerospace and defense sectors. Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members. What You’ll Do As a Staff AI Systems Engineer, you will architect, deploy, and manage the critical infrastructure services required for large-scale AI model training and inference. You will ensure our machine learning platforms are robust and efficient, bridging the gap between raw data and high-performance AI models. Infrastructure & Orchestration: Deploy, scale, and manage resilient infrastructure services tailored for distributed AI model training and low-latency inference. Maturity & MLOps: Utilize and maintain end-to-end tooling—including MLflow for experiment tracking and model registry—to streamline and optimize the AI development lifecycle. Compute & Inference Optimization: Leverage specialized frameworks to maximize hardware utilization, managing multi-cloud compute scheduling alongside advanced LLM serving engines. Cross-Functional Collaboration: Partner closely with AI researchers and Software Engineers to productionize cutting-edge models, establish monitoring systems, and debug complex performance bottlenecks at the hardware-software interface. What You Need Education: BS/MS/PhD degree in Computer Science, Software Engineering, or a related field. Experience: 5+ years of professional software engineering experience with a dedicated focus on A…
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