AI Autonomy Engineer — Edge ML for Flight Systems

Archer; San Jose (CA); On-site; USD 160,000 - 235,000; Full time

Job summary

Archer, headquartered in Silicon Valley, is a leader in the next-gen aerospace sector building an end-to-end advanced air mobility platform delivering air taxis, UAS, and AI solutions to customers worldwide.

As the AI Autonomy Engineer, you’ll help bring intelligent behavior to real aircraft by developing vision-language and multimodal models, evaluating them against baselines, and deploying them on edge hardware with strict latency and power constraints.

Qualifications

• MS/PhD or equivalent in CS/Robotics or related field with strong ML depth.
• 8+ years of related experience.
• Hands-on experience building, fine-tuning, and/or integrating vision-language or VLA models.
• Strong with transformer architectures and multimodal models; fine-tuning a pre-trained checkpoint.

Responsibilities

• Develop and integrate multi-model systems; VLN/VLA, perception, and language models.
• Design benchmarks, measure success and failure modes against baselines and publish results.
• Fine-tune and adapt foundation models, weigh tradeoffs clearly.
• Validate through data-driven testing in simulation, on hardware, and in flight tests.
• Take models from prototype to deployed, running on edge hardware with real latency constraints.

Skills

8+ years exp

VLA models

PyTorch

Transformers

Edge deployment

0→1 development

Ambiguity tolerance

Hands-on ML

ML systems

Education

MS/PhD or equivalent

Tools

NVIDIA Jetson

Job description

Archer, headquartered in Silicon Valley, is a leader in the next-gen aerospace sector building an end-to-end advanced air mobility platform delivering air taxis, UAS, and AI solutions to customers worldwide.

As the AI Autonomy Engineer, you’ll help bring intelligent behavior to real aircraft by developing vision-language and multimodal models, evaluating them against baselines, and deploying them on edge hardware with strict latency and power constraints.