Senior Compiler Engineer
Mountain View, CA
About DataPelago:
DataPelago is at the forefront of revolutionizing data processing for traditional analytics and cutting-edge GenAI preprocessing. We are building an innovative data processing engine that is transforming how Apache Spark, Apache Flink, Ray and others operate on diverse, large-scale data. Our team of engineers drive and adopt advances in hardware-accelerated computing, parallel processing of large-scale data, query optimization, distributed systems, compilers, machine learning, and cloud-native computing. We are looking for specialists to join our engineering team and shape the future of accelerated data processing.
The Opportunity:
As a Senior Compiler Engineer, you will lead the advancement of compilers for DataPelago’s data processing engine. You will enhance functional breadth, performance, scale, and reliability of DataPelago engine’s compilers in executing data processing workloads on diverse acceleration hardware infrastructure, including CPUs, GPUs. And FPGAs. This is a unique opportunity to make a significant impact on a category-defining product and work with a talented team of engineers.
What You'll Do:
• Architect: Lead the architecture of how our data processing engine will translate data processing logical and physical plans into efficient code for execution on CPU/GPU/FPGA.
• Design: Lead design of functional and performance enhancements to the compilers in our data processing engine.
• Core Development: Individually design, implement, test, optimize, and maintain components of compilers for the data processing engine.
• Innovation and Differentiation: Analyze advances in the capabilities of CPU and GPU processing elements from Nvidia, AMD, Intel, and others, compiler platforms and tools and identify opportunities for our engine to enhance technology and product leadership.
• Collaboration: Partner effectively with engineering and product management in defining language specifications of our product and ensuring compliance with industry standards, platform definitions, and workload requirements.
• Continuous Improvement: Foster best practices in design and code reviews, testing, CI/CD, and issue resolution to maintain highest product quality, security, efficiency, & productivity.
What You'll Bring:
• Bachelor's degree in Computer Science or a related field with 7+ years of relevant experience OR a Master's degree in Computer Science or a related field with 5+ years of relevant experience.
• 5+ years of deep technical experience in developing and enhancing production-quality compilers, tools, or related software.
• Demonstrated experience with auto-vectorization compiler technologies and data-parallel architectures.
• Demonstrated experience with compiler internals. Solid experience with GCC/LLVM/ MLIR.
• Demonstrated experience with parsing, IR, type systems, and static analysis. Solid experience with flex/yacc/ANTLR.
• Experience with compilation for data applications (e.g., query compilers, query planners),
data processing languages (e.g., SQL, Python), acceleration hardware (e.g., Nvidia GPU),
and data processing engines (e.g., Apache Spark, Presto) preferred.
• Exceptional programming skills in C, C++. Rust experience preferred.
• Extensive development experience in Linux environments.
• Strong analytical and problem-solving skills with a passion for performance optimization.
Why Join DataPelago?
• Technology Leadership: Shape the architecture and development of how our core engine compiles parallel data processing applications on advanced acceleration hardware.
• 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.
• Mentorship and Growth: Mentor and guide other talented engineers while expanding your own technical expertise.
• Competitive compensation, stock options, comprehensive benefits package, leadership development opportunities.
Skills Required
- Bachelor's degree in Computer Science or a related field
- 7+ years of relevant experience OR Master's degree with 5+ years
- 5+ years of experience in developing production-quality compilers
- Experience with GCC, LLVM, MLIR
- Experience with C, C++, Rust preferred
- Deep technical experience in auto-vectorization and data-parallel architectures
- Experience in Linux environments
- Strong analytical and problem-solving skills
What We Do
DataPelago is redefining how enterprises process data for AI and analytics at scale. As organizations race to operationalize artificial intelligence, they are discovering that the greatest barrier to progress isn’t a lack of models or talent – it’s the infrastructure beneath them. Data pipelines remain fragmented across specialized systems for analytics, AI, and data engineering, each optimized for specific workloads but incapable of operating as a cohesive whole. The result is inefficiency: duplicated data, stranded compute resources, and escalating costs that slow innovation. DataPelago was founded to solve this challenge. Its flagship product, Nucleus, is the world’s first Universal Data Processing Engine (UDPE) – a new layer that sits between data lakes and query engines to unify data processing within a single, hardware-aware stack. Built from first principles for accelerated computing, Nucleus allows companies to process, move, and activate their data orders of magnitude more efficiently than existing systems. At its core, Nucleus dynamically orchestrates workloads across heterogeneous compute environments – CPUs, GPUs, TPUs, and FPGAs – ensuring every job runs on the optimal hardware for maximum performance and efficiency. This unified approach eliminates the need to maintain separate infrastructure for different data workloads, dramatically reducing complexity and total cost of ownership by up to 40%. Nucleus supports structured, unstructured, and semi-structured data in a single environment, enabling AI and analytics workloads to coexist seamlessly. It integrates easily with existing data ecosystems and open-source frameworks, providing enterprises with flexibility and performance without requiring code changes or proprietary lock-in. With Nucleus, data teams can accelerate queries, streamline pipelines, and scale AI initiatives faster, all while controlling infrastructure spend. Early adopters across industries are leveraging the platform to speed up data preparation, model training, and real-time analytics by up to 10x, turning data from a bottleneck into a competitive advantage. DataPelago’s mission is to make high-performance, cost-efficient data processing achievable for every enterprise. By bridging the gap between data infrastructure and AI innovation, the company is helping organizations unlock the full potential of their data, laying the foundation for a new era of intelligence at scale.
Why Work With Us
DataPelago is pioneering the world’s first Universal Data Processing Engine, unifying AI and analytics in a single, hardware-aware platform. We’re solving one of the biggest challenges in enterprise AI – making data infrastructure faster, simpler, and more efficient. Join us to build the foundation for the next era of intelligent computing.
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