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Posted 16 months ago

Embedded SW Engineer

@ EnCharge AI

Canada

Apply now
SIGNALS

Overview

EnCharge AI is hiring an Embedded SW Engineer to develop firmware for its Edge AI processors, including the core firmware for various parts of the SOC. The work covers validating SOC IP blocks, integrating third-party device drivers, and defining driver architecture with the Runtime, Hardware and Architecture teams. The posting asks for a Bachelor's in EE or CS and advanced C/C++ kernel and systems skills; it states no salary, schedule or work arrangement.

Responsibilities:

  • Develop critical EAI firmware for inference jobs on EAI processors
  • Validate different IP blocks on the SOC
  • Evaluate and integrate third-party device drivers
  • Define driver architecture with Runtime, Hardware and Architecture teams

Requirements summary:

  • Bachelor's in EE or CS
  • Advanced C/C++ for OS kernel and systems development
  • Deep understanding of operating systems, x86-64 and accelerator architectures
  • Experience with low-level debug tools, emulators and simulators
  • Experience with system performance benchmarks
  • Excellent verbal and written communication

Tools & skills

Source and dates

Employer career site / ATS feed · greenhouse

Employer posting date
2025-07-10
First seen by our source
2026-10-08
Source record updated
2026-10-10

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

DepartmentSoftware development
Work settingOffice, Laboratory
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
EducationBachelor’s degree (required)
Fields of studyElectrical Engineering, Computer Science

Summary and details written by AI from the posting; the employer’s posting is the authority.

EnCharge AI

Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

Where the future of AI compute is being defined and built, to unlock new levels of machine intelligence.

Full company description

EnCharge AI is a leader in advanced hardware and software systems for AI computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions, at a fraction of the cost. The high-performance architecture is coupled with seamless software and will enable the immense potential of AI to be accessible in power -, energy-, and space-constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.

LinkedIn followers
19,885
People associated on LinkedIn
91
Reported office locations
  • 4500 Great American Parkway, Suite 230, Santa Clara, California 95054, US
Business categories
  • Semiconductor
  • Artificial Intelligence
  • Software
  • Embedded Software
  • Artificial Intelligence (AI)
  • Machine Learning
  • AI Infrastructure
Other recorded names
  • EnCharge AI
Profile identifies a recruitment agency
No
Reported total investment
162,900,000

Currency and observation date were not supplied; this is not a current valuation or a funding round.

EnCharge AI is a leader in advanced hardware and software systems for AI computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions, at a fraction of the cost. The high-performance architecture is coupled with seamless software and will enable the immense potential of AI to be…

FieldValue
IndustryEmbedded Software Products
Company size11-50 employees
HeadquartersSanta Clara, California
Organization typePrivately Held
Year founded2022
Open jobs on Jobsy7
LinkedInView page
Job description

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.

About the Role

EnCharge AI is looking for an Embedded SW Engineer to develop the firmware for our Edge AI processors. The candidate must possess an excellent understanding of computer architecture and operating system concepts including, but not limited to, memory management, virtualization and PCIe address space. The role includes designing and developing the core Firmware for various parts of the SOC. The candidate must possess strong communication skills to interface with Runtime, Architecture and H/W teams.

Responsibilities

  • Develop the critical pieces of EAI Firmware used to deploy inference jobs on EAI processors
  • Validate different IP blocks on the SOC
  • Evaluate and integrate third-party device drivers to interface with EnCharge’s SW stack
  • Work closely with the Runtime, Hardware and Architecture teams define the driver architecture

Qualifications

  • Bachelors in EE/CS
  • Advanced programming skills in C/C++ for operating system kernel & systems development
  • Understanding of RISC-V architecture is a plus
  • Exposure to PCIe BAR and IOMMU architecture
  • Exposure to virtualization and hypervisor technologies
  • Deep understanding of operating systems concepts, data structures, x86-64 and accelerator architectures
  • Experience with low-level debug tools as well as emulators and simulators
  • Experience running, analyzing, and tuning system performance benchmarks
  • Excellent verbal and written communication skills

EnchargeAI is an equal employment opportunity employer in the United States.

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All of CanadaRemote · Hybrid · On-site · Field

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