Senior Laboratory Automation Engineer
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Job Location:
Monthly Salary:
Posted on:
13 hours ago
Vacancies:
1 Vacancy
Job Summary
Snapshot
Science is at the heart of everything we do at Google DeepMind. From the beginning we took inspiration from science to build better algorithms and now we want to use our toolkit to accelerate scientific discovery. By bringing together specialists with backgrounds in machine learning computer science physics chemistry biology and more were optimistic that we can build new methods that will push the boundaries of what is possible and help solve the biggest problems facing humanity.
About Us
Google DeepMind is establishing the Materials Discovery Laboratory a state-of-the-art automated facility designed to bridge the gap between AI predictions and physical reality. This lab will serve as the engine of our materials research program combining high-throughput synthesis and characterization with advanced robotics to create a closed-loop discovery system.
The Role
We are seeking an experienced Senior Laboratory Automation Engineer to integrate the physical and digital infrastructure of our AI-driven lab. You will design custom hardware solutions integrate robotic platforms and build the middleware that bridges the gap between off-the-shelf equipment and our unique AI workflows.
Key responsibilities:
- Translate Science to Automation: Partner with laboratory scientists to deconstruct manual synthesis and characterization workflows identify high-value targets for automation and turn them into practical engineering roadmaps.
- Build the Digital Bridge: Develop the critical middleware and drivers that connect diverse laboratory equipment APIs (furnaces diffractometers robots) to our central AI models ensuring a seamless command-and-control loop.
- Prototyping & Integration: Co-develop and test proof-of-concept lab automation. Together with a wider team integrate off-the-shelf robotics with custom hardware creating reliable systems that can handle unique material samples.
- Lab Telemetry: Architect a comprehensive sensor and data capture ecosystem that logs the complete record of every experiment. You will design systems to harvest high-fidelity multimodal data across the entire synthesis and characterization lifecycle.
About You
In order to set you up for success as a Senior Laboratory Automation Engineerat Google DeepMind we look for the following skills and experience:
- PhD or equivalent industry experience in Robotics Mechatronics Engineering or a related field.
- Track record of building or managing a complex automated hardware system.
- Strong CAD skills (e.g. SolidWorks Fusion 360) and experience with prototyping (3D printing CNC).
- Deep knowledge of industrial communication protocols (Modbus EtherCAT TCP/IP) and interfacing with scientific hardware (Serial VISA SCPI).
- Experience using Python/C for device control (ROS microcontrollers PLC programming).
- A track record of working with domain experts (scientists mechanical engineers) to translate complex workflows into process logic and automated sequences.
In addition the following would be an advantage:
- Experience in a Self-Driving Lab or high-throughput screening environment.
- Familiarity with Laboratory Information Management Systems (LIMS) or scientific data pipelines.
- Background in materials science specifically thin films or solid-state synthesis and characterisation workflows.
At Google DeepMind we value diversity of experience knowledge backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex race religion or belief ethnic or national origin disability age citizenship marital domestic or civil partnership status sexual orientation gender identity pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation please do not hesitate to let us know.
Required Experience:
Senior IC
Key Skills
- Continuous Integration
- APIs
- Jenkins
- Junit
- Distributed Control Systems
- Testng
- GAMP
- Test Automation
- CI/CD
- Cucumber
- Programmable Logic Controllers
- Selenium
About Company
Artificial intelligence could be one of humanity’s most useful inventions. We research and build safe artificial intelligence systems. We're committed to solving intelligence, to advance science and benefit humanity.
