Stellar Science is a growing scientific software development company that develops custom software products and performs research and development in multiple high-tech domains. We are seeking a talented technical writer to write and edit technical reports, technical proposals, and software user documentation in support of scientists and software developers at our headquarters in Albuquerque, NM or in our office in Tysons Corner, VA. Join our unique, collaborative team to help create leading-edge scientific software documentation in fascinating domains including space situational awareness, computer vision, directed energy, metamaterials, and biothermal modeling.
This position requires excellent writing and editing skills and the ability to quickly learn new concepts while working in an agile software development environment with multiple software products. A willingness to dig into software to learn the products and document user workflows is also required.
This individual will:
- Write and edit scientific technical reports
- Edit technical proposals describing novel research
- Deliver high-quality technical documentation
- Create and maintain help files for software products
- Create training documentation
- Work in an agile software development environment
Required qualifications
- Bachelor’s Degree and minimum five years of technical writing experience
- Experience with user-focused writing and documentation
- Ability to edit highly technical and scientific documentation
- Excellent MS Word skills
- Experience with version control systems
- Excellent communication skills to include working within a distributed organization
- Solid organizational skills including attention to detail and multi-tasking skills
- Comfortable working in a fast-paced environment with tight deadlines
- Previous experience working in an agile software development environment
- Self-starter with a strong work ethic
Desired qualifications
- Experience with Markdown, Sphinx, and documentation as code
- Experience with Git and command-line shells
- Ability to create video training
- Experience implementing SharePoint workspaces
Stellar Science is a forward-thinking business that provides its employees with many benefits
- Flexible work schedules
- A generous fully employer-funded SEP IRA
- Fully employer-funded health insurance
- Dental, disability, and life insurance
- Eleven paid federal holidays (which may be floated as desired)
- Accrue three weeks of paid time off (PTO) annually
Applicants are asked to submit a cover letter and resume with their applications.
We will ask qualified candidates for a writing and editing sample as well.
Due to our work with the Department of Defense, applicants must be U.S. citizens and must be willing to undergo a background investigation.
Skills Required
- Bachelor's degree
- Minimum five years technical writing experience
- Experience with user-focused writing and documentation
- Ability to edit highly technical and scientific documentation
- Excellent MS Word skills
- Experience with version control systems
- Excellent communication skills, including working within a distributed organization
- Solid organizational skills including attention to detail and multi-tasking
- Comfortable working in a fast-paced environment with tight deadlines
- Previous experience working in an agile software development environment
- Self-starter with a strong work ethic
- Ability to quickly learn new concepts and dig into software to document user workflows
- U.S. citizenship required
- Willingness to undergo a background investigation
- Experience with Markdown, Sphinx, and documentation as code
- Experience with Git and command-line shells
- Ability to create video training
- Experience implementing SharePoint workspaces
What We Do
Stellar Science is a small but growing company developing custom scientific and engineering software. We conduct research and develop interactive software in the fields of computer vision, image enhancement, three-dimensional visualization, computational electromagnetics, scene simulation, and thermal modeling, on systems ranging from desktops to high performance supercomputing clusters.
