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Senior AI Systems Engineer (ML Infrastructure & AI Platforms)

archer • United State
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AI Summary

Lead the design, deployment, and optimization of large-scale AI infrastructure at Archer, focusing on distributed model training, low-latency inference, and MLOps tooling. Collaborate with AI researchers and engineers to productionize advanced models while ensuring hardware-software efficiency. Requires 3+ years of AI/ML systems expertise with multi-cloud, Kubernetes, and GPU optimization.

Key Highlights
Architect and manage scalable AI infrastructure for distributed model training and low-latency inference
Leverage MLOps tooling (MLflow) and optimize LLM serving frameworks (vLLM, SGLang)
Collaborate cross-functionally to debug performance bottlenecks and deploy cutting-edge AI models

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Key Responsibilities
Deploy, scale, and manage resilient infrastructure services for distributed AI model training and low-latency inference
Utilize and maintain end-to-end MLOps tooling (e.g., MLflow) to streamline AI development lifecycle
Optimize compute and inference performance using specialized frameworks (e.g., vLLM, SGLang) and multi-cloud scheduling
Partner with AI researchers and software engineers to productionize models, establish monitoring systems, and debug hardware-software bottlenecks
Technical Skills Required
Machine Learning Operations (MLOps) Kubernetes Multi-Cloud Infrastructure (AWS, Nebius AI Cloud)

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Benefits & Perks
Competitive base pay ($160,000 - $198,000)
Pay-for-performance culture
Equal Opportunity employer with diversity and inclusivity commitment

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Nice to Have
Experience with audio processing or ASR pipelines
Prior exposure to aerospace, aviation, or autonomous systems
Technical interest in safety-critical software or edge-AI deployments

Job Description

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.
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Job Overview
Posted Date Oct 04, 2026
Employment Type Full-time
Experience Level Associate
Location United State
Category Devops
Company archer
Mentioned Skills
nosql artificial intelligence ai asr storage kubernetes aws docker cloud containerization cloud native sql mlflow mlops machine learning

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