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Senior AI Systems Engineer

3 weeks, 5 days ago
United States
Full-time
Senior
Machine Learning Engineer
DevOps and Infrastructure
AWS Docker Kubernetes MLflow MLOps SQL
Apply Now
Archer

Archer

Archer Technologies provides enterprise governance, risk, and compliance solutions through the Archer SmartSuite framework. Additionally, Archer is designing and developing electric vertical takeoff and landing aircraft for urban air mobility networks....

Construction & Engineering
251-1K
Founded 2018
View All Jobs 31

Description

  • Architect, deploy, and manage infrastructure services for large-scale AI model training and inference.
  • Deploy, scale, and operate resilient infrastructure for distributed training and low-latency inference.
  • Maintain end-to-end MLOps tooling, including experiment tracking and model registry workflows with MLflow.
  • Optimize compute utilization and inference performance across multi-cloud and GPU-based environments.
  • Manage multi-region GPU scheduling and cloud-agnostic cluster abstraction to support AI workloads.
  • Partner with AI researchers and software engineers to productionize models and support deployment.
  • Establish monitoring systems for AI services and production workloads.
  • Debug complex performance bottlenecks at the hardware-software interface.
  • Build and support high-throughput data pipelines for large-scale training data.

Requirements

  • BS, MS, or PhD in Computer Science, Software Engineering, or a related field.
  • 3+ years of professional software engineering experience focused on AI/ML systems, high-performance computing, or ML infrastructure.
  • Experience with AWS and specialized AI-focused bare-metal or GPU clouds such as Nebius AI Cloud.
  • Hands-on experience with Docker and Kubernetes.
  • Experience using cloud-agnostic cluster tools such as SkyPilot to manage multi-region GPU availability.
  • Deep architectural understanding of large language models and serving them at scale with frameworks like vLLM and SGLang.
  • Experience building high-throughput data pipelines for large-scale training.
  • Proficiency in SQL, NoSQL, and columnar storage formats such as Parquet.
  • Familiarity with audio processing, speech-to-text frameworks, or ASR pipelines is preferred.
  • Prior experience or strong technical interest in aerospace, aviation, or autonomous systems is preferred.
  • Work authorization without requiring visa sponsorship, as Archer is unable to provide sponsorship for this role.

Benefits

  • Base salary target of $160,000 to $180,000.
  • Pay-for-performance compensation culture with pay determined by job-related knowledge, skills, and experience.
  • Opportunity to work on sustainable air mobility technology at an aerospace company.
  • Reasonable accommodations available for applicants with disabilities or sincerely held religious beliefs.
  • Equal Opportunity employer committed to diversity and inclusivity.
  • Candidate privacy protections through Archer's Candidate Privacy Policy.

Interested in this position?

Apply directly on the company website

Apply Now

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