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Archer

Senior AI Systems Engineer

Archer · San Jose, California, United States

Posted about 3 months ago · $160,000 - $198,000

or apply directly on Archer's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Archer's roles stay open a median of 81 days
Reposted
No
Salary listed
Yes
93% of Archer's roles list one
Ghost-job risk at Archer
high
156 stale, 5 reposted of 158 open
Hiring momentum
226 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from Archer's own greenhouse board since 2026-08-03. Full hiring picture for Archer.

About this role

As a Senior AI Systems Engineer at Archer, you will be responsible for architecting, deploying, and managing infrastructure services essential for large-scale AI model training and inference. Your role will involve optimizing machine learning platforms, collaborating with AI researchers and software engineers, and utilizing tools for MLOps to enhance the AI development lifecycle.

Our read on this posting3.0out of 5
benefits
1/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Archer as an employer.

What you need

  • BS/MS/PhD degree in Computer Science, Software Engineering, or a related field
  • 3+ years of professional software engineering experience focused on AI/ML systems, high-performance computing (HPC), or ML infrastructure
  • Familiarity with hyper-scaler infrastructure (AWS) and AI-centric bare-metal and GPU clouds
  • Hands-on experience with containerization (Docker) and orchestration (Kubernetes)
  • Deep architectural understanding of large language models and their serving infrastructure
  • Experience building high-throughput data pipelines with proficiency in SQL, NoSQL, and columnar storage formats optimized for ML

Nice to have

  • Familiarity with audio processing, speech-to-text frameworks, or Automatic Speech Recognition (ASR) pipelines
  • Prior experience or deep technical interest in aerospace, aviation, or autonomous systems

What you get

  • Targeted base pay between $160,000 - $198,000
  • Pay-for-performance culture

Worth weighing

  • No specific mention of remote work options
  • Vague on the exact responsibilities and daily tasks beyond infrastructure management
  • Salary range provided but actual compensation depends on various factors

Summarised from Archer's posting. Read the full original.

Listed by Archer on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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