Publié il y a 16 mois
AI Runtime Engineer
@ EnCharge AI
Canada
En bref
EnCharge AI is hiring an AI Runtime Engineer to build and optimize the execution software stack for its next-generation AI accelerator. The role covers low-latency runtime code for deep learning inference and training across cloud and edge, working with hardware, compiler and framework teams.
Responsabilités :
- Develop and optimize the AI runtime software stack for deep learning workloads
- Implement task scheduling, memory management and kernel execution
- Optimize host-device data movement over PCIe, DMA and shared memory
- Integrate runtime components with AI compilers and inference frameworks
Résumé des exigences :
- Bachelor's or Master's in Computer Science, Electrical Engineering or related field
- 3+ years of low-level runtime development for AI accelerators, GPUs or HPC
- Strong C/C++ and low-level systems programming
- Experience with dataflow architectures and hardware-aware optimization
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 an AI Runtime Engineer to develop and optimize the execution stack for our next-generation AI accelerator. In this role, you will work on low-latency, high-performance runtime software that enables efficient execution of deep learning models on specialized hardware. You will collaborate with hardware, compiler, and AI framework teams to deliver optimized AI inference and training performance across cloud and edge environments.
Responsibilities
- Develop and optimize the AI runtime software stack for executing deep learning workloads on AI accelerators.
- Implement task scheduling, memory management, and kernel execution strategies for efficient computation.
- Optimize data movement between host and device using PCIe, DMA, shared memory.
- Design and implement high-performance APIs for AI Inference frameworks such as OpenVino, ONNX Runtime, vLLM
- Work on graph execution optimizations, including kernel fusion, pipelining, tensor tiling, and caching.
- Integrate runtime components with AI compilers (LLVM, MLIR, XLA, TVM) for optimized execution.
- Ensure scalability and reliability of the AI runtime for cloud-based and edge AI deployments.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
- 3+ years of experience in developing low-level runtime software for AI accelerators, GPUs, or HPC systems.
- Strong proficiency in C/C++ and low-level systems programming.
- Deep understanding of task scheduling, concurrency, and memory hierarchy.
- Experience with hardware-aware optimizations and dataflow architectures.
- Familiarity with deep learning execution frameworks (ONNX Runtime, TensorRT, TVM, OpenVINO).
- Experience with low-latency, high-throughput workload execution for AI models.
- Strong debugging and profiling skills for optimizing AI execution performance.
- Exposure to AI model deployment pipelines (Triton, TensorFlow Serving).
EnchargeAI is an equal employment opportunity employer in the United States.
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