Publié il y a 16 mois
Device Driver Engineer
@ EnCharge AI
Canada
En bref
EnCharge AI is hiring a Device Driver Engineer to design and implement the high-performance driver stack for its AI accelerator hardware. The role covers Linux and Windows PCIe drivers, DMA, interrupt handling and performance debugging, working closely with hardware, firmware and AI software teams. No pay, schedule or arrangement is stated.
Responsabilités :
- Develop and maintain Linux/Windows PCIe device drivers for AI accelerators
- Implement DMA, memory management and interrupt handling
- Optimize drivers for latency and throughput
- Debug PCIe protocol, kernel panics and performance bottlenecks
- Collaborate with hardware, firmware and AI software teams
Résumé des exigences :
- Bachelor's or Master's in Computer Science, Electrical Engineering or related field
- 3+ years of device driver development on Linux and/or Windows
- Strong PCIe experience including BAR, DMA, interrupts and MMIO
- Proficiency in C/C++ and kernel-mode programming
- Experience with AI accelerators (GPUs, NPUs, TPUs) is a plus
Outils et compétences
Source et dates
Site carrière / système de candidatures · greenhouse
- Date publiée par l’employeur
- 2025-07-10
- Première détection par notre source
- 2026-10-08
- Mise à jour du dossier source
- 2026-10-10
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Intermédiaire |
| Domaine | Développement logiciel |
| Expérience | 3 an(s) et plus |
| Milieu de travail | Bureau, Laboratoire |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (exigé), Maîtrise (préféré) |
| Domaines d’études | Computer Science, Electrical Engineering |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
EnCharge AI
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Where the future of AI compute is being defined and built, to unlock new levels of machine intelligence.
Description complète de l’entreprise
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.
- Abonnés LinkedIn
- 19 885
- Personnes associées sur LinkedIn
- 91
- Bureaux déclarés
- 4500 Great American Parkway, Suite 230, Santa Clara, California 95054, US
- Catégories d’activité
- Semiconductor
- Artificial Intelligence
- Software
- Embedded Software
- Artificial Intelligence (AI)
- Machine Learning
- AI Infrastructure
- Autres noms enregistrés
- EnCharge AI
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 162 900 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
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…
| Champ | Valeur |
|---|---|
| Secteur | Embedded Software Products |
| Taille | 11-50 employees |
| Siège social | Santa Clara, California |
| Type d’organisation | Privately Held |
| Fondée en | 2022 |
| Offres sur Jobsy | 7 |
| Voir la page |
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.
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