
Speedata is transforming the data center landscape with the world's first purpose-built Analytics Processing Unit (APU), designed specifically to accelerate complex database analytics and AI workloads. Their C200 APU offers unparalleled scalability and efficiency by integrating hardware and software into a unified platform, delivering up to 100X performance gains without requiring software changes. This massively parallel architecture enables enterprises to process massive datasets faster, reduce data center footprint, and cut costs dramatically, empowering instant insights and sustainable competitive advantage. Speedata's technology targets complex analytics pipelines, ETL workflows, and AI data preparation, providing significant capital, space, and power savings compared to CPUs and GPUs. The company is led by a team with extensive semiconductor, software, and cloud infrastructure experience, driving innovation in data infrastructure for next-generation insight-driven innovation.

Speedata is transforming the data center landscape with the world's first purpose-built Analytics Processing Unit (APU), designed specifically to accelerate complex database analytics and AI workloads. Their C200 APU offers unparalleled scalability and efficiency by integrating hardware and software into a unified platform, delivering up to 100X performance gains without requiring software changes. This massively parallel architecture enables enterprises to process massive datasets faster, reduce data center footprint, and cut costs dramatically, empowering instant insights and sustainable competitive advantage. Speedata's technology targets complex analytics pipelines, ETL workflows, and AI data preparation, providing significant capital, space, and power savings compared to CPUs and GPUs. The company is led by a team with extensive semiconductor, software, and cloud infrastructure experience, driving innovation in data infrastructure for next-generation insight-driven innovation.
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’re seeking an outstanding hands-on System Software Engineering Manager with deep knowledge of low-level software design to lead a team of experts and play a vital role in designing and implementing our firmware, drivers, and runtime components.
If you're passionate about hardware/software interaction and thrive in a collaborative, problem-solving environment - we want you!
Requirements:
Responsibilities