We are seeking a Senior Data Engineer to join our growing team within the AI and Modeling and Simulation group and support manufacturing processes on our robotic manufacturing platform. The ideal candidate will be responsible for designing, implementing, and maintaining robust data pipelines and infrastructure to ensure the availability, integrity, traceability, and interpretability of manufacturing data. This role involves working closely with Process, Design, and AI engineers to validate manufacturing outcomes and monitor process performance through data-driven insights.
Experience in data engineering, data flows, and big-data processing, as well as proficiency in Python, are essential for this role. Importantly, candidates will be expected to have an industry-level understanding of manufacturing processes and sensors, and to be able to work with process engineers on metrology needs and hardware requirements. Experience in data science for manufacturing – e.g., building data-driven predictive pipelines using statistics- and/or ML-based methods – is desirable.
This is an excellent career opportunity for a professional with a proven track record of creating and deploying data pipelines in manufacturing environments. The ideal applicant thrives working in a cross-functional environment, unifies and integrates efforts of a highly diverse team, actively engages in the development process, and is excellent at documenting and presenting work products.
- Data Engineering & Infrastructure
- Design, build, and maintain scalable workflows for data collection, transformation, and storage.
- Process and analyze structured or semi-structured manufacturing data.
- Develop data pipelines to process and prepare data for ML model training and data analysis.
- Develop, customize, and maintain interactive dashboards, reports, and visualizations for experimentation results and business metrics.
- Ensure real-time data handling for ML applications (e.g., digital twins) and process monitoring.
- Validation & Quality Control
- Work with inspection engineers/technicians to collect datasets and collaborate with process engineers to ensure quality control in manufacturing processes.
- Experience with real-time data processing frameworks (Apache Kafka, Spark Streaming, etc.)
- Experienced with BI toolsets and data-visualization frameworks (including Apache Superset) for reporting and analytics.
- Build validation tests to compare in-house inspection algorithms with commercial tools.
- Process Monitoring & Optimization
- Establish process monitoring frameworks by creating data storage solutions and implementing structured labeling for process input parameters and associated outputs.
- Develop online statistics and analytics for process control and optimization.
- Analyze observable time-series data corresponding to different manufacturing process stages.
- Documentation & Collaboration
- Work with process engineers on data collection requirements and communicate those requirements to hardware designers.
- Collaborate with cross-functional teams, including process engineers, chemical engineers, materials scientists, simulation engineers, software developers, data scientists, and AI engineers, to optimize data workflows and improve operational efficiency.
- 6+ years after Bachelor’s / 4+ years after Master’s of industry experience.
- A first-principles mindset — you question assumptions, reframe problems from the ground up, and approach challenges with a foundational understanding rather than relying solely on precedent.
- 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.
- Strong analytical mindset, attention to data quality, and ability to translate complex data into clear insights for both technical and non-technical stakeholders.
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, or a related STEM field.
- Experience with real-time data processing frameworks (Apache Kafka, Spark Streaming, etc.)
- Experienced with BI toolsets and data-visualization frameworks (including Apache Superset) for reporting and analytics.
The compensation for this position also includes equity and benefits.
Top Skills
What We Do
Atomic Machines is redefining humanity’s relationship with matter. We see a future where our tools will allow us to reorganize matter at the atomic level at will, where we will go from bits to atoms for any object or machine that can be designed in alignment with physical laws. We have begun our journey with the development of a robotic manufacturing platform capable of making an entirely new class of micro-electromechanical (MEMS) devices. We are well funded and have exceptionally strong product/market fit and a clear go-to-market path for the device we will make first with our platform. Our platform breaks traditional manufacturing paradigms and constraints, enabling inexpensive rapid prototyping as well as large scale manufacturing with highly compelling economics.
Joining forces with us means becoming part of an incredibly talented, inventive and passionate multi-disciplinary team working on a massive world-changing mission. You will have the opportunity to help define the company from its early days. You’ll be challenged to learn and grow as a builder and a leader as the company itself grows rapidly. And you will receive significant equity compensation - you’ll truly be a company owner and benefit financially from our overall success.
