Parallel Software Engineer

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🕒 Outubro 29, 2025

🏄 California – Remoto

🏄 California – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

🦅 Patrocina Visto H1B

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DataPelago

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2022

🤖 Inteligência Artificial

🏢 Corporativo

🤝 B2B

Artificial Intelligence • Enterprise • B2B

A DataPelago é uma empresa que fornece um mecanismo universal de processamento de dados (DataPelago Nucleus) e o DataPelago Accelerator para Spark para acelerar drasticamente cargas de trabalho GenAI e de análise. Sua plataforma aproveita a computação acelerada heterogênea (GPUs, FPGAs e CPUs), integra-se com frameworks de código aberto como Spark, Trino e Gluten/Substrait, e visa oferecer uma performance várias ordens de magnitude superior e uma redução significativa de custos sem necessidade de alterações nas aplicações ou dependência de fornecedores. A DataPelago tem como público-alvo profissionais de dados e IA em empresas, oferecendo guias de implantação, benchmarks e estudos de caso que demonstram grandes economias e processamento mais rápido para conjuntos de dados grandes e estruturados, semiestruturados e não estruturados.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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