Principal Data Scientist

Astera Labs is a global leader in purpose-built connectivity solutions that unlock the full potential of AI and cloud infrastructure. Our Intelligent Connectivity Platform integrates PCIe®, CXL®, and Ethernet semiconductor-based solutions and the COSMOS software suite of system management and optimization tools to deliver a software-defined architecture that is both scalable and customizable. Inspired by trusted relationships with hyperscalers and the data center ecosystem, we are an innovation leader delivering products that are flexible and interoperable. Discover how we are transforming modern data-driven applications at www.asteralabs.com. 

Job Description

Astera Labs is seeking a skilled and motivated Data Scientist. As a Principal Data Scientist, you will partner closely 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

• Familiarity with the latest cloud solutions for data storage, ETL, and analytics.
• Experience working with subject matter experts (SMEs) to translate business and engineering goals into data science problems and develop solutions.
• Ability to execute from feasibility to prototype and provide solutions for production deployment.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
• Experience with data visualization tools.

Preferred Experience

• Familiarity with hardware and software lifecycle is a huge plus.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong knowledge of SQL and NoSQL databases.
• Knowledge of containerization technologies like Docker and Kubernetes.
• Familiarity with big data technologies like Hadoop, Spark, or Kafka.
• Understanding of DevOps practices and tools for CI/CD.

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.

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.