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About the Role
Speedata is modernizing analytics infrastructure with the first purpose-built ASIC processor, the Analytics Processing Unit (APU), for analytics and AI data workloads. Delivering up to 100x faster Apache Spark performance while cutting infrastructure TCO by 90%, the APU executes analytics operations directly in silicon with seamless integration and no code changes. Job Description Join a multi-disciplinary team of experts operating at the core of Speedata's software stack Lead the design and implementation of highly efficient algorithms that maximize our performance Develop time-critical Python components that translate database operations to performant, hardware-optimized C++ Co-design the next generation of our architecture alongside Hardware & Software engineering leads Research state-of-the-art algorithms and techniques for data analytics and hardware acceleration Fly high with the SW, and dive in for a byte of the HW Qualifications BSc or higher degree in Computer Science or a related field. 8+ years of experience in software development in a deep-tech context Ability for independent learning of topics, tools and languages Strong proficiency in Python Knowledge of algorithms and data structures Excellent communication skills Advantages Meaningful experience with C++ Experience with hardware systems and compilers Experience with databases and SQL High tolerance for dad-jokes Familiarity with software optimization techniques for performance-critical code Familiarity with computer architecture and low-level programming We are looking for a highly skilled professional eager to work on cutting-edge technology and play a key role in something truly impactful. We encourage you to apply if you meet the qualifications and are excited about the opportunity to work with our team.
