Staff Data Engineer

Atomic Machines develops Matter Compiler technology for micromanufacturing, enabling new classes of micromachines with multi-process, multi-material capabilities.
Berkeley, CA, USASanta Clara, CA, USA
$170,000 - $220,000
Data
Staff Software Engineer
In-Person
6+ years of experience
AI · Robotics

Description For Staff Data Engineer

Atomic Machines is revolutionizing micromanufacturing with their innovative Matter Compiler (MC) technology, enabling the creation of new classes of micromachines through multi-process, multi-material manufacturing capabilities. They are seeking a Staff Data Engineer to join their AI and ModSim group in Berkeley and Santa Clara, California.

The role demands a seasoned professional with 6+ years of experience to lead data engineering initiatives for their robotic manufacturing platform. The ideal candidate will be responsible for designing and implementing robust data pipelines, ensuring data integrity, and providing valuable insights for manufacturing processes. The position requires expertise in Python, SQL, and data storage solutions, combined with a strong understanding of manufacturing processes and sensors.

This is an excellent opportunity for a data engineering professional looking to take ownership of data infrastructure at a cutting-edge technology company. The role offers a competitive salary range of $170,000 - $220,000, plus equity and benefits. The position involves working with a diverse, cross-functional team including process engineers, chemical engineers, materials scientists, and ML engineers.

Key responsibilities include designing scalable data collection systems, developing data pipelines for ML model training, ensuring real-time data handling, and establishing process monitoring frameworks. The role requires collaboration with various teams to optimize data workflows and improve manufacturing efficiency. The successful candidate will need to demonstrate strong problem-solving skills, experience in manufacturing environments, and the ability to work in a fast-paced, collaborative setting.

The company's innovative technology and focus on advancing micromanufacturing make this an exciting opportunity for someone passionate about combining data engineering with cutting-edge manufacturing processes. The role offers the chance to work on unique challenges while contributing to the development of revolutionary manufacturing technology.

Last updated 13 days ago

Responsibilities For Staff Data Engineer

  • Design, build, and maintain scalable data collection, transformation, storage, and integration systems across different manufacturing units and processes
  • Develop data pipelines to process and prepare data for ML model training and real-time analytics
  • Ensure real-time data handling for ML applications and process monitoring
  • Work with inspection engineers/technicians to collect datasets and collaborate with process designers
  • Guide the creation of validation tests to compare in-house inspection algorithms with commercial tools
  • Establish process monitoring frameworks by creating data storage solutions
  • Develop online statistics and analytics for process control and optimization
  • Analyze observable time-series data corresponding to different manufacturing process stages
  • Work with process development engineers to propose data collection requirements
  • Collaborate with cross-functional teams to optimize data workflows and improve operational efficiency

Requirements For Staff Data Engineer

Python
Kafka
  • 6+ years (after Bachelor's) of industry experience
  • Proven experience in data engineering, data flows, and big-data processing
  • Proficiency in Python and programming languages such as SQL
  • Proficiency in data storage solutions (Data Lakes, Cloud Storage, SQL, NoSQL)
  • Understanding of manufacturing processes, sensors, and process automation
  • Industry-level experience in guiding and automating data collection and processing in manufacturing environments
  • Knowledge of DevOps practices
  • Strong problem-solving skills and ability to work in a collaborative, fast-paced environment
  • Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, or a related STEM field

Benefits For Staff Data Engineer

Equity
  • Equity
  • Benefits

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