Part-Time
Hardware Technical Writer
EnCharge AI
51-200 employees
Analog in-memory AI hardware and software
Compensation Overview
$50 - $55/hr
Remote in USA + 1 more
More locations: Remote in Canada
Remote
Remote role; US or Canada only; ~10 hours/week contract.
 Content & Writing (1) |
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- 5+ years experience in Technical Writing
- Experience with writing technical design specifications, user manuals, and datasheets
- Experience in collaborating with Engineering teams to gather technical information
- Experience in Technical Writing for ASIC or VLSI teams
- B.S. in Electrical Engineering or similar field
- Clear communication with engineers to ensure accuracy
- Experience in tools such as Markdown, LaTeX, Microsoft Word
- Collaborate with internal Architecture, Analog and Digital Design Engineering Teams to gather information for technical documents
- Writing design specifications, user manuals, and datasheets for AI Hardware
- Reviewing and revising architecture specifications, conference papers, integration guides
- Produce Government reports, Integration Guides, SDK User Manuals
- Translates complex ASIC or VLSI concepts into clear and concise documentation for engineers and customers
- Work experience in Technical Writing for Artificial Intelligence companies is a plus
EnCharge AI develops hardware and software for artificial intelligence computation, ranging from edge devices to cloud servers. The company utilizes analog in-memory computing through chiplets, ASICs, and PCIe cards to process AI tasks directly within memory, which reduces the power and space required for complex calculations. Unlike competitors using traditional digital methods, EnCharge AI offers significantly lower CO2 emissions and a lower total cost of ownership by integrating its specialized technology into the existing semiconductor supply chain. The company's goal is to democratize advanced AI by making it economically viable and sustainable for businesses to solve large-scale human challenges.
Company Size
51-200
Company Stage
Series B
Total Funding
$162.9M
Headquarters
Santa Clara, California
Founded
2022
Simplify's Take
What believers are saying
- $144M Series B from Tiger Global and Samsung Ventures funds 2025 EN100 commercialization.
- RTX Ventures investment unlocks defense contracts needing low SWaP AI solutions.
- Recent hires of Jason Huang and Leslie Szeto prepare for IPO-scale growth.
What critics are saying
- Analog noise sensitivity delays EN100 commercialization beyond 2025 benchmarks.
- Mythic captures edge AI market with proven chips shipping since 2023.
- TSMC delays from Nvidia overload push EnCharge production past 2025 targets.
What makes EnCharge AI unique
- EnCharge AI uses charge-domain analog in-memory computing with metal capacitors for 20x efficiency gains.
- EN100 accelerator delivers 200 TOPS at 40+ TOPS/W on 16nm for laptops and workstations.
- Scalable chiplets, ASICs, and PCIe cards integrate into existing semiconductor supply chains.
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People at EnCharge AI who can refer or advise you
Benefits
Health Insurance
401(k) Retirement Plan
Remote Work Options
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 0%2 year growth
↓ -2%EnCharge AI has introduced the EN100 accelerator to run AI inference directly on local devices.
EnCharge AI, an AI chip startup from Princeton University, has raised $144 million to advance its analog in-memory computing technology. Their EN100 AI accelerator chip offers improved performance per watt, enabling advanced AI on laptops and edge devices while reducing energy use. The funding will help expand their technology and software suite. Investors include Tiger Global, Samsung Ventures, and others. The company is poised for growth in the AI PC and edge device market.
EnCharge AI has appointed Jason Huang as VP of Finance and Leslie Szeto as Director of HR following a $100 million Series B funding round. Huang will enhance financial strategy for growth, while Szeto will focus on talent acquisition and organizational development. These hires support EnCharge's transition from development to commercialization of its AI accelerator products. Huang and Szeto bring extensive experience in high-growth transitions, IPOs, and acquisitions.
EnCharge AI has secured over $100 million in a Series B funding round, bringing its total funding to over $144 million. The company is developing a new AI accelerator chip that aims to match desktop GPU performance with only 1% of the power consumption. Their chip, which uses analog capacitors for computation, is expected to launch later this year for mobile devices, PCs, and workstations, with commercialization planned for 2025.
EnCharge AI raises $100m from Samsung, Foxconn.