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Archer

Staff Engineer, AI Autonomy

Archer · San Jose, California, United States

Posted about 2 months ago

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

Is this posting real?

This role has been open
71 days
Archer's roles stay open a median of 81 days
Reposted
No
Salary listed
No
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 Staff Engineer in AI Autonomy at Archer, you will develop and integrate advanced multi-model systems for eVTOL aircraft, focusing on vision-language and VLA models. Your role involves designing benchmarks, fine-tuning models, and validating them through rigorous testing in various environments, ensuring they operate effectively under real-world constraints. You will work closely with Safety and Simulation Engineers to ensure the reliability of your models in flight tests.

Our read on this posting2.0out of 5
benefits
1/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

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

  • 8+ years of experience related to position minimum
  • M.S., PhD, or equivalent experience in Computer Science, Robotics, or a related field
  • Hands-on experience building, fine-tuning, and/or integrating vision-language or VLA models
  • Solid grasp of transformer architectures and multimodal foundation models
  • Strong with PyTorch (or comparable frameworks)
  • Real 0→1 experience

Nice to have

  • VLN or embodied-agent navigation experience
  • Experience with reinforcement learning, imitation learning, or self-supervised training
  • Edge deployment experience
  • Shipped evaluation tooling or benchmarks
  • Experience in or alongside a safety-critical or regulated engineering process

What you get

  • Targeted base pay between $195,000.00 - $235,000.00
  • Pay-for-performance culture

Worth weighing

  • No specific details on the company's current projects or products before applying
  • The role requires comfort with ambiguity, which may not suit all candidates

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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