The Data & AI Engineer will develop data pipelines, predictive models, and dashboards while collaborating with software teams to integrate insights into engineering processes.
We’re seeking a Data & AI Engineer to develop intelligent data pipelines and analytics solutions that power smarter decisions across silicon design, verification, and manufacturing. You’ll transform engineering data into actionable insights through automation, modeling, and visualization.
Responsibilities
- Build and maintain data pipelines to support machine learning and analytics workflows.
- Collect, clean, and transform large, complex datasets from engineering environments.
- Develop and train predictive models for yield, performance, and anomaly detection.
- Automate recurring data analysis tasks and integrate models into engineering processes.
- Collaborate with design and software teams to embed AI-driven insights into products.
- Create dashboards and visualization tools for reporting and decision-making.
- Document code, models, and processes for transparency and reproducibility.
Qualifications
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Strong skills in data manipulation (Pandas, NumPy, SQL).
- Experience with workflow orchestration (Airflow, Spark, or similar).
- 3–5 years of experience in data engineering or applied AI.
- Bachelor’s degree in Electrical Engineering, Computer Science, or related field.
Preferred / Plus
- Familiarity with semiconductor design, verification, or manufacturing datasets.
- Understanding of statistical modeling and predictive maintenance.
- Experience with cloud environments (AWS, Azure, GCP) and version control (Git).
- Knowledge of MLOps principles (deployment, monitoring, CI/CD).
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The role involves designing and building scalable data platforms for analytics and AI, optimizing data pipelines, and supporting machine learning workflows. Collaboration with stakeholders to define technical solutions and drive initiatives for data quality and observability is key.
Top Skills:
AirflowAWSAzureDatabricksDockerGCPGithub ActionsJavaKubernetesPysparkPythonSnowflakeSparkSQLTerraform
Artificial Intelligence • Healthtech
As a Founding AI/Data Engineer, you'll design and build AI-driven products, collaborate across teams, and ensure system reliability while enhancing user experiences.
Top Skills:
DjangoDockerGCPOpenaiPostgresPythonReactTypescript
Artificial Intelligence • Cloud • Enterprise Web • Information Technology • Software • Analytics • Business Intelligence
The Enterprise Account Executive drives sales in a new market, develops strategic account plans, engages with C-Suite executives, and maintains client relationships, ensuring customer needs are met while exceeding sales quotas.
Top Skills:
Crm SoftwareMicrosoft Office SuiteSales ToolsSalesforce
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
