Astera Labs is seeking to leverage advanced statistical methods and machine learning algorithms to identify issues early and accelerate time-to-quality improvements in their data-driven applications.
Requirements
- Familiarity with the latest cloud solutions for data storage, ETL, and analytics
- 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
- Familiarity 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
Responsibilities
- Partner with hardware and software teams to align on objectives, refine complex problem statements, and co-develop innovative data collection strategies
- Leverage advanced statistical methods and machine learning algorithms to identify issues early and accelerate time-to-quality improvements
- Architect and deploy robust, cloud-native solutions for managing data pipelines, ensuring scalability and seamless integration across platforms
- 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
Other
- 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
- 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
