Postdoctoral Researcher - Edge AI and Vision Models

NASA Jet Propulsion Laboratory; United States; On-site; USD 75,000 - 92,000; Full time

Benefits offered by this job

Health, dental, vision benefits

Retirement plans

Paid time off

Flexible schedule

Parental leave

Job summary

NASA Jet Propulsion Laboratory in Pasadena, CA, seeks a Postdoctoral researcher to advance edge Vision Language Models and Foundation Models on embedded devices. The role emphasizes deployment, fine-tuning, and evaluation, with publication in peer-reviewed venues.

You will collaborate with a JPL advisor, drive results to open literature, and contribute to cutting-edge AI deployed on edge hardware, including Nvidia NX/AGX platforms.

Qualifications

• Ph.D. in Computer Science, AI, CV, Robotics or related field.
• Research in Vision Language Models, Foundation models, or embedded AI.
• Experience deploying AI on embedded platforms (NVIDIA NX/AGX).
• Hands-on fine-tuning (LoRA, SFT) and multi-head vision systems (segmentation, YOLO).
• Experience with evaluation pipelines, including LLM-based methods.
• Peer-reviewed publications in scholarly venues.

Responsibilities

• Conduct research in edge Vision Language Models (VLMs) and Foundation models.
• Deploy foundation models to embedded platforms (e.g., Nvidia NX, AGX).
• Fine-tune models with LoRA and SFT techniques.
• Develop and integrate multiple vision heads (segmentation, YOLO, open vocabulary).
• Design, run evaluation and benchmark pipelines, including LLM-driven methods.
• Publish results and present at conferences.

Skills

Vision Language Models

Foundation models

embedded AI

LoRA

SFT

YOLO

Research publications

Education

Ph.D. in Computer Science / AI / CV / Robotics

Tools

NVIDIA NX

NVIDIA AGX

LLM‑driven evaluation

Job description

NASA Jet Propulsion Laboratory in Pasadena, CA, seeks a Postdoctoral researcher to advance edge Vision Language Models and Foundation Models on embedded devices. The role emphasizes deployment, fine-tuning, and evaluation, with publication in peer-reviewed venues.

You will collaborate with a JPL advisor, drive results to open literature, and contribute to cutting-edge AI deployed on edge hardware, including Nvidia NX/AGX platforms.