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.

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.

Requirements:

• BSc or higher degree in Computer Science or a related field.
• 6+ 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

Responsibilities:

• 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

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