Principal Data Scientist, Astera Labs
$160-240k
Office located in Santa Clara, CA
Purpose-built connectivity solutions
Open for applications
Purpose-built connectivity solutions
201-500 employees
Open for applications
$160-240k
Office located in Santa Clara, CA
201-500 employees
Company mission
To be a trusted partner for distributing data in intelligent systems.
Role
Who you are
- 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
- 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
Desirable
- 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
What the job involves
- 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
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Insights
46% employee growth in 12 months
Company
Company benefits
- Flexible time off in the US
- Parental leave
- Competitive medical, dental and vision plans
- 401K
- Retirement and pension plans
Funding (last 2 of 3 rounds)
Nov 2022
$150m
SERIES D
Sep 2021
$50m
SERIES C
Total funding: $206.4m
Our take
Astera Labs was founded in 2017 to help companies ease bottlenecks in computing-intensive tasks. This is a problem that has become increasingly urgent with the rapid development of AI technology, and constitutes what Astera Labs has described as an addressable market that will reach $8 billion by 2025.
Although still relatively young, Astera Labs has had a particularly quick start. The pace of digital transformation has continued to accelerate amongst companies, meaning it has been able to grow despite the recent slowing of the economy. On top of this, its fabless approach facilitates faster scaling, helping to position the company as a market-leading connectivity provider.
With this remarkable growth and significant funding at its back, the company has cultivated a strong reputation and a range of products that tightly address pressing market issues. Lately, it has focused on growing its products and operations, particularly in North America and Asia, as well as expanding into Canada and eyeing up an IPO for 2024.
Freddie
Company Specialist at Welcome to the Jungle