---
title: 'Device Driver Engineer at EnCharge AI'
canonical: 'https://feeny.ai/job/device-driver-engineer-encharge-ai-united-states-canada-germany-norway-s4ahp9pjdmh4'
type: 'job'
last_seen: '2026-09-12'
---

# Device Driver Engineer at EnCharge AI

- **Company:** EnCharge AI
- **Location:** United States / Canada / Germany / Norway
- **Work type:** remote
- **Posted:** 2025-07-10
- **Last confirmed live:** 2026-09-12
- **Apply:** https://job-boards.greenhouse.io/enchargeai36/jobs/4008062009

## 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 seeking a highly skilled Device Driver Engineer to design and implement high-performance driver stack for our cutting-edge AI accelerator hardware. In this role, you will work closely with hardware, firmware, and AI software teams to develop low-latency, high-bandwidth communication between the host system and AI accelerator.

## Responsibilities

- Develop, optimize, and maintain Linux/Windows PCIe device drivers for AI accelerators.
- Implement low-level hardware interactions, DMA, memory management, and interrupt handling.
- Work on driver optimizations to reduce latency and improve throughput for AI workloads.
- Debug and troubleshoot PCIe protocol, kernel panics, crashes, and performance bottlenecks.
- Collaborate with hardware, firmware, and AI software teams to define driver interfaces.
- Ensure compliance with PCIe standards (Gen4/Gen5), SR-IOV, BAR memory mapping, and IOMMU.
- Support virtualization (VFIO, SR-IOV, DPUs) and containerized environments (Kubernetes, Docker, etc.).
- Develop tools for profiling, debugging, and monitoring driver performance.
- Contribute to open-source kernel modules if applicable.

## Qualifications

- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
- 3+ years of experience in device driver development for Linux and/or Windows.
- Strong experience with PCIe-based hardware, including BAR regions, DMA, interrupts, and MMIO.
- Proficiency in C/C++ and kernel-mode programming (Linux Kernel, Windows WDDM/WDF/MCDM).
- Experience with AI-specific accelerators (e.g., GPUs, NPUs, TPUs) is a plus.
- Knowledge of low-level debugging tools (gdb, perf, ftrace, dmesg, PCIe analyzers).
- Understanding of multi-threading, synchronization, and memory management in kernel space.
- Familiarity with high-performance AI/ML workloads is a plus.
- Experience in hypervisor interactions, VFIO, and passthrough solutions.
- Knowledge of secure boot, firmware updates, and trusted execution environments (TEE).

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

## About EnCharge AI

## Company Overview
- **One-liner**: EnCharge AI develops analog in-memory computing hardware and software to deliver high-efficiency, low-cost AI inference from edge devices to cloud data centers.
- **Entity Type**: Private (Series B – II stage)
- **Headquarters**: Santa Clara, California, United States
- **Founded**: 2022
- **Founders**: Naveen Verma, Ph.D. (CEO) and Kailash Gopalakrishnan, Ph.D. (CTO)

## Core Business
- **Primary industry**: AI semiconductor hardware and embedded software products
- **Target customers**: B2B – enterprises deploying AI at scale, edge-device manufacturers, cloud service providers, and defense/industrial sectors
- **Mission**: Democratize advanced AI by enabling deployment beyond cloud infrastructure to local servers and mobile devices, while slashing costs and environmental impact

## Products & Services
- **Analog In-Memory Computing GPUs & Digital AI Accelerators**: Custom silicon (chiplets, ASICs) and standard-form-factor PCIe cards that perform AI inference using analog computation for orders-of-magnitude better energy efficiency and compute density.
- **Software Stack**: Seamless orchestration layer that supports on-device and cloud deployment, enabling model portability, quantization, and compiler optimizations across EnCharge’s hardware.
- **Edge-to-Cloud Platforms**: Integrated solutions for power-, space-, and cost-constrained environments, covering autonomous systems, smart devices, data center inference, and private on-premise AI.

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed
- **Key Metrics**: Annual Revenue ~$10M (LinkedIn estimate) | Total Funding $162.9M
- **Notable Investors & Partners**: Tiger Global Management (led $100M Series B, Mar 2025), Anzu Partners (led $21.7M Series A, Dec 2022), DARPA ($18.6M grant, Mar 2024), and others including corporate/institutional backers.
- **Growth Signals**: 
  - 58.6% YoY headcount growth (75 employees, as of mid-2025)
  - 39 active job openings spanning hardware, compiler, and AI architecture roles
  - 150+ patents granted, 300+ technical publications
  - Talent inflows from Intel, IBM, Cerebras, AMD, Meta, Microsoft

## Competitive Advantages
- **Analog In-Memory Computing Moa**t: A proprietary compute architecture that uses charge-domain analog circuits, validated silicon, and leverages existing semiconductor supply chains.
- **Record Efficiency**: Claims 20× higher TOPS/W, 9× higher compute density (TOPS/mm²), 10× lower total cost of ownership, and 100× lower CO₂ emissions compared to leading cloud/GPU alternatives.
- **Deep IP Portfolio**: 150+ granted patents and 300+ publications from 20+ years of foundational research by the founding team (Princeton, IBM, etc.).
- **End-to-End Solution**: Full-stack hardware and software (compiler, quantization, runtime) designed for seamless edge-to-cloud orchestration without vendor lock-in.

## Strategic Focus
- Scale production and customer deployments of their analog in-memory compute chips for high-volume edge and data center inference.
- Expand software ecosystem to support mainstream AI frameworks (PyTorch, TensorFlow, ONNX) and enable easy drop-in replacement for existing GPU-accelerated workloads.
- Deepen partnerships with defense (DARPA) and enterprise cloud providers, emphasizing data privacy, security, and sustainability.
- Double down on sustainability messaging (100× lower CO₂) to meet ESG mandates in enterprise AI procurement.

## Why Work Here
- **Mission-Driven Impact**: Opportunity to make AI accessible to the “99%” by dramatically reducing energy and cost barriers. Work is cited as a “once-in-a-lifetime” chance by leadership.
- **World-Class Team**: Colleagues include industry luminaries from Princeton, IBM, and top semiconductor houses; 57% of staff are in technical roles (engineering, research, compiler).
- **Culture of Collaboration & Innovation**: The careers page highlights integrity, growth, and collaborative problem-solving in a fast-paced startup environment.
- **Comprehensive Rewards**: Benefits package includes typical startup perks; equity likely offered given funding stage.
- **Work Policy**: Hybrid presence indicated by offices in Santa Clara, Canada, Germany, Norway, South Korea, and India. Remote flexibility likely for some roles.
- **Active Hiring**: 39 open positions across DFT, physical design, compiler engineering, and NPU architecture – strong signal of scaling and technical investment.

## Sources
1. [EnCharge AI Official Website](https://www.enchargeai.com/)
2. [EnCharge AI Careers Page](https://www.enchargeai.com/careers)
3. [EnCharge AI About Us (Leadership & Founders)](https://www.enchargeai.com/about-us)
4. [EnCharge AI LinkedIn Company Page](https://www.linkedin.com/company/encharge-ai)
5. [CB Insights Profile – EnCharge AI](https://www.cbinsights.com/company/encharge-ai)

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