Efficient Computer
Technical Content Writer
$180K
San Fransisco, Bay Area OR Pittsburgh, PA OR Austin, TX +5 · Remote · Full-time · Posted Oct 30, 2026
- Location
- San Fransisco, Bay Area OR Pittsburgh, PA OR Austin, TX
Austin, TX
Pittsburgh, PA
Remote, United States
San Francisco, California, United States
San Jose, CA - Experience
- At least three years in semiconductors, embedded systems, or processor and compiler tools; engineering, marketing, or a combination of the two.
- Education
- Degree in electrical engineering, computer engineering, or computer science, or equivalent professional experience.
About the job
Creates hands-on technical content explaining Efficient Computer’s processor architecture, products, and measured results to developers, customers, and business audiences.
What you'll do
- Produce technical articles, application notes, white papers, benchmark reports, newsletters, web content, presentations, and video scripts.
- Bring up evaluation hardware, build and port applications, measure energy use and performance, analyze results, and create reproducible examples.
- Support sales and field teams, webinars, conferences, and workshops; track content performance and update materials as products evolve.
What they ask for
- Degree in electrical engineering, computer engineering, or computer science, or equivalent professional experience.
- At least three years of experience in semiconductors, embedded systems, or processor and compiler tools.
- Examples of writing for a technical audience.
- Fluency in C or C++; experience with development hardware; working knowledge of Python or a similar language.
Nice to have
- Experience with low-power systems, energy measurement, compilers, or instruction set architectures.
- Experience in the listed application areas, embedded machine learning, DSP, or real-time control; HTML, CSS, and JavaScript; technical visualization or public speaking.
Pay
$120,00-180,000 (base salary); 10% annual bonus
Tools
Electron E1, Fabric, Evaluation Kit (EVK), effcc Compiler, C, C++, Python, HTML, CSS, and JavaScript
AI focus
Explains and demonstrates computing architecture and applications for AI, including measured energy and performance results; no direct AI model development is stated.
Model-written summary · the original posting is authoritative