Parallel Software Engineer

Emploi pas sur LinkedIn

🕒 il y a 7 mois

🏄 California – Distant

🏄 California – Remote

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

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DataPelago

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2022

🤖 Intelligence artificielle

🏢 Entreprise

🤝 B2B

Artificial Intelligence • Enterprise • B2B

DataPelago est une entreprise qui propose un moteur universel de traitement de données (DataPelago Nucleus) et le DataPelago Accelerator pour Spark afin d'accélérer drastiquement les charges de travail en GenAI et analytique. Leur plateforme exploite l'informatique accélérée hétérogène (GPU, FPGA et CPU), s'intègre aux frameworks open-source tels que Spark, Trino, et Gluten/Substrait, et vise à offrir des performances inédites et des réductions de coûts significatives sans apporter de modifications aux applications ni d'enfermement propriétaire. DataPelago cible les praticiens de la donnée et de l'IA en entreprise, offrant des guides de déploiement, des benchmarks et des études de cas démontrant de grandes économies et un traitement plus rapide pour les ensembles de données à grande échelle, structurées, semi-structurées et non structurées.

Description

• Architect: Influence the architecture of how our data processing engine harnesses the parallelism in GPUs and SIMD-capable CPUs efficiently in processing diverse large-scale data. • Design: Lead design of functional and performance enhancements to operators and functions that are accelerated by our engine. • Core Development: Individually design, implement, test, optimize, and maintain parallel implementations of operators and functions on diverse acceleration hardware. • Innovation and Differentiation: Analyze advances in accelerated computing hardware, programming models, and related tools and ensure our engine extends technology and product leadership. • Collaboration: Partner effectively with the execution engine engineering team in integrating parallel software components with the overall engine. • Continuous Improvement: Foster best practices in design and code reviews, testing, CI/CD, and issue resolution to maintain highest product quality, security, efficiency, & productivity.

🎯 Exigences

• Bachelor's degree in Computer Science or a related field with 5+ years of relevant experience OR a Master's degree in Computer Science or a related field with 3+ years of relevant experience. • 3+ years of deep technical experience in developing production applications that process large scale data using SIMD-extensions of CPUs (e.g., AVX), GPU programming models (e.g., CUDA, ROCm), or equivalent accelerated computing framework. • Demonstrated experience working with software libraries, development tools, and profiling tools specific to parallel and accelerated computing. • Demonstrated experience in troubleshooting and resolving functional and performance anomalies in both pre- and post-production scenarios. • Strong knowledge of computer architecture. • Exceptional programming skills in C, C++. • Extensive development experience in Linux environments. • Strong analytical and problem-solving skills with a passion for performance optimization.

🏖️ Avantages

• Technology Leadership: Shape the architecture and development of core parallel data processing functions of our engine. • Cutting-Edge Innovation: Work on challenging problems at the forefront of accelerated computing and data processing. • Significant Impact: Your contributions will directly impact the performance and scalability of our mission-critical platform. • Growth: Expand your technical expertise and scope of responsibilities working with other talented engineers and with a growing product. • Competitive compensation, stock options, comprehensive benefits package, leadership development opportunities