Principal Data Scientist

Overview

Astera Labs (NASDAQ : ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions grounded in open standards. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL, Ethernet, PCIe, and UALink semiconductor-based technologies with the COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. Discover more at www.asteralabs.com.

Job Description

Data Scientist / Principal Data Scientist role partnering with hardware and software teams to align on objectives, refine complex problem statements, and co-develop innovative data collection strategies. You will leverage advanced statistical methods and machine learning algorithms to identify issues early and accelerate time-to-quality improvements. In this role, you will architect and deploy robust, cloud-native solutions for managing data pipelines, ensuring scalability and seamless integration across platforms. Additionally, you will establish comprehensive business intelligence and analytics frameworks, providing detailed engineering insights and executive-level roll-ups to drive data-driven decision-making and impactful reporting.

Basic Qualifications

• Master\'s or PhD in Electrical or Computer Engineering, Statistics, Mathematics, or Data Science domains.
• 8+ years of experience applying AI / ML concepts to build solutions for semiconductor, hardware or software industry.
• Demonstrated ability to learn continuously and keep up with the latest research and tools in the AI / MLOps domains.

Required Experience

Preferred Experience

Compensation

The base salary range is $160,000.00 USD – $240,000.00 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

Diversity and Inclusion

We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.

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