Technical Content Writer

present of AI; San Francisco, Pittsburgh, Austin (CA, Allegheny County, TX); On-site; USD 90,000 - 130,000; Full time

Job summary

present of AI seeks a writer who can turn engineering work into clear, reproducible technical content. A strong candidate has hands-on experience with embedded systems or processor tools, can read and modify C or C++ code, and can bring up evaluation hardware and measure results.

They also need a track record of writing for technical audiences and the discipline to verify every published number. AI enables faster drafting and searching, but human judgment remains essential for interpreting

Qualifications

• Hands-on experience with embedded systems or processor tools.
• Ability to read and modify C or C++ code.
• Experience bringing up evaluation hardware and measuring results.
• Proven ability to write for technical audiences and verify published numbers.

Responsibilities

• Turn engineering work into clear, reproducible technical content for engineers and stakeholders.
• Bring up evaluation hardware and run measurements to validate results.
• Develop demos and reference projects to illustrate AI workloads on edge hardware.
• Ensure accuracy by verifying numbers and documenting methods for reproducibility.

Skills

C/C++ fluency

Evaluation board bring-up

Technical writing samples

Energy measurement skills

Effcc Compiler

Tools

Effcc Compiler

Job description

This role asks for someone who can turn engineering work into clear, reproducible technical content. A strong candidate has hands‑on experience with embedded systems or processor tools, can read and modify C or C++ code, and can bring up evaluation hardware and measure results. They also need a track record of writing for technical audiences and the discipline to verify every published number.

How it fits the AI era

AI makes the writing work faster to draft and easier to search, but the core value stays in understanding the hardware and explaining measured results honestly. The role sits close to the engineering, so the human judgment about what a result means and whether a claim is ready to publish cannot be automated. AI helps with production and reach, while the writer still does the hands‑on testing and accuracy checks.

How it builds AI experience

The writer would gain direct experience with edge AI hardware by running benchmarks on the Electron E1 and explaining compiler behavior for AI workloads. Building small demos and reference projects with the effcc Compiler would deepen practical knowledge of how AI runs on low‑power processors. This hands‑on work with real measurements is a strong way to build AI experience specific to efficient computing.

Worth showing

• C or C++ fluency
• Evaluation board bring‑up
• Technical writing samples
• Energy measurement skills

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Efficient Computer

Post‑von‑Neumann spatial processors and optimizing compilers for edge AI, which the company describes as ultra‑low‑power.