Tech companies in Israel ‹ Speedata.io ‹ SW Engineering Manager – Performance Modeling
Skills from the role
Software team managementHardware simulators (functional & performance models)Performance modelingComputer architectureSystem-level modelingSW-HW co-developmentPythonC++Compiler optimizationDesign, testing, and performance tuning
Job description
SW Engineering Manager – Performance Modeling | Speedata
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SW Engineering Manager – Performance Modeling
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
We’re looking for an experienced SW Team Manager to join our Simulators Team, where you'll lead the design and development of our hardware simulators - functional and performance models that serve as the source of truth, drive architectural exploration and compiler optimization.
Our simulators model diverse cores within a cutting-edge SoC designed to accelerate Big Data and Database Analytics.
You will collaborate closely with hardware and software teams, contributing to co-design efforts that influence architecture, tooling, and system-level behaviour.
Requirements
• BSc (or higher) in Computer Science, Math, Physics or Electrical Engineering.
• 3+ years of experience managing or leading software engineering teams
• 5+ years of experience developing hardware simulators
• Strong understanding of computer architecture and system-level modelling.
• Proven track record in technical leadership.
• Experience in SW-HW co-development environments, influencing both architecture and tooling.
• Proficiency in Python and C++.
• Solid software engineering skills, including design, testing, performance tuning, and maintainability.
Responsibilities
• Lead & grow a team of experienced engineers
• Develop new hardware simulators and continue evolving existing one.
• Collaborate with Architecture, VLSI, and Software teams to drive co-design initiatives.
• Provide insights that influence chip architecture, compiler optimization, and system-level performance.
• Develop tools that drive the chip development cycle.
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About Speedata.io
Speedata is the creator of the Analytics Processing Unit (APU), the first processor purpose-built for Apache Spark SQL, batch ETL, and AI data preparation workloads. By executing Spark operations natively in silicon rather than memory, the APU delivers up to 100x faster performance and 90% lower total cost of ownership compared to general-purpose compute — with zero code changes required. In one enterprise AI data preprocessing deployment, customers replaced 38 servers with just 3. Speedata integrates directly into existing data pipelines, accelerating the most demanding analytics and AI data layer workloads at scale.