Parallel Software Engineer

DataPelago

Parallel Software Engineer developing advanced parallel software that enhances data processing capabilities. Working with GPUs and SIMD-capable CPUs, impacting performance and scalability of core functions.

Posted 7/29/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in architecting and optimizing data processing engines for large-scale data using parallel computing techniques, with strong programming skills in C and C++. Proven ability to lead design enhancements and foster best practices in software development and performance optimization.

Highest-signal resume keywords

GPU Programming Models (CUDA, ROCm)SIMD-Extensions (AVX)Parallel Computing FrameworksC, C++ ProgrammingLinux Development Environments

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Processing Engine ArchitecturePerformance OptimizationParallel ImplementationsSoftware LibrariesDevelopment ToolsProfiling ToolsTroubleshootingCode ReviewsContinuous Integration/Continuous Deployment (CI/CD)Computer Architecture

Soft Skills

Analytical SkillsProblem-Solving SkillsCollaboration

Industry Keywords

Large Scale Data ProcessingAccelerated ComputingFunctional EnhancementsPerformance AnomaliesBest Practices

Tech Stack

Tools & technologies

Linux

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Competitive compensation
Stock options
Comprehensive benefits package
Leadership development opportunities