Senior Remote Sensing Systems Scientist (Real-Time Data)

Sandia National Laboratories; Albuquerque (NM); On-site; USD 118,000 - 236,000; Full time

Benefits offered by this job

Flexible work arrangements

Relocation assistance

Generous vacation and benefits

Job summary

Sandia National Laboratories in Albuquerque seeks a Software Engineer for real-time data processing in remote sensing systems. You will design and develop software for high-throughput satellite data processing, collaborating with architects, developers, customers, and end users to deliver extensible applications.

The role requires working onsite with potential limited travel, and involves engaging with diverse experts in data fusion, ML, cloud, and visualization to advance Sandia's national

Qualifications

• BS degree in a relevant field with at least five years of directly related experience or equivalent mix of education and experience.
• Ability to obtain and maintain a DOE Q and SCI security clearance.

Responsibilities

• Develop software solutions and algorithms for remote sensing systems handling real-time satellite data.
• Collaborate with architects, developers, leads, customers, and end users to collect requirements and design extensible software.
• Analyze existing systems and create new approaches that push the envelope of what is possible.
• Lead image processing and data-centric R&D projects.
• Work with data fusion, signal and image processing, analytics, cloud computing, ML, and visualization experts.

Skills

C++

Python

Object Oriented programming

Kubernetes

GitLab

Education

Bachelor's degree in a relevant discipline

Tools

Kubernetes

GitLab

Job description

Sandia National Laboratories in Albuquerque seeks a Software Engineer for real-time data processing in remote sensing systems. You will design and develop software for high-throughput satellite data processing, collaborating with architects, developers, customers, and end users to deliver extensible applications.

The role requires working onsite with potential limited travel, and involves engaging with diverse experts in data fusion, ML, cloud, and visualization to advance Sandia's national