Build the future of integrated geoscience.

Core responsibilities

• PCB and circuit design in KiCad or similar, plus DAQ and electronic systems (schematic, layout, power, signal integrity, noise, wiring harness).
• Embedded systems and microcontroller programming: firmware, sensor interfacing, Arduino, and communications over Serial, Modbus, UART, and TCP.
• Develop instrument control and data acquisition systems in LabVIEW.
• Mechanical design of enclosures, components, and assemblies in Autodesk Inventor.
• WITSML for data export and import.
• Lead and mentor junior engineers.

Example projects

• Gas sensors built from off-the-shelf elements such as electrochemical, NDIR, MIR, TCD, CCD, and gas chromatographs.
• Gas and rock sampling systems.
• Automation and control systems: relays, valves, pumps, detectors, pneumatics, and imaging.
• Integration and automation of analytical instruments such as XRF.

Must-have skills

• PCB and circuit design
• LabVIEW
• Autodesk Inventor CAD

Nice-to-have skills

• JavaScript, Python, C#
• React, Node.js, Express
• MongoDB, PostgreSQL
• AWS (EC2, S3)

These enable closer work with the software team, but the role is hardware-first.

Education and experience

• A Bachelor’s degree in Engineering and 5 years of work experience in electronics, LabVIEW, and Autodesk is required.

Bonus experience

• Oil and gas experience.
• Analytical instrumentation: GC, FID, mass spec, XRF, porosity and permeability, and imaging systems.

What you will do

• Interpret geological and geochemical data sets, primarily mass spectrometric geochemical data from mudgas analysis and elemental data from XRF. Other streams include high-resolution imaging, fluid inclusion geochemistry, and porosity and permeability.
• Integrate this with mudlog and publicly available data, such as structure maps and production history, to maximize the impact of company deliverables.
• Prepare and present reports, and publish technical articles.
• Work closely with the software team to develop and improve our software offerings.
• Offer technical support to users and help increase sales.

What you will bring

• Fundamental knowledge of petroleum geochemistry, sedimentology, stratigraphy, and structural geology.
• Some knowledge of reservoir, drilling, and production engineering is helpful.
• Familiarity with various petroleum basins in the USA is required, and may be gained on the job.
• Knowledge of conventional and unconventional petroleum resources, geothermal, helium, hydrogen, and CCUS applications.

Education and experience

• A Master’s in Geosciences and 5 years of experience in operations geology, mudlogging, and geosteering is preferred.

Screening questions

• How many years of work experience do you have with mud logging?
• How many years of work experience do you have with geosteering?
• How many years of work experience do you have with petroleum geology?

Minimum of 1 year in each.

What you will do

• Collaborate on designing, developing, and maintaining software solutions.
• Build responsive, user-friendly web interfaces with ReactJS.
• Enhance data presentation using visualization libraries in Python and JavaScript, including numerical data display, data analysis, outlier detection, and report generation.
• Work with both NoSQL and SQL databases.
• Deploy, manage, and maintain applications on cloud infrastructure (AWS EC2 and S3).
• Apply machine learning and generative AI concepts, including integration of pretrained or commercially available models.
• Contribute to code reviews and act on constructive feedback to improve code quality.
• Website development and SEO, plus technical support for users.

Requirements

• Strong working experience with JavaScript, Python, and C#.
• Proficiency with the ReactJS framework.
• Familiarity with Express.js and Node.js for scalable web applications.
• Experience with MongoDB or similar NoSQL databases, and working knowledge of PostgreSQL or other SQL databases.
• Experience with cloud services, particularly AWS EC2 and S3.
• Strong knowledge of Git for collaboration and code management.
• Proficiency in English is a must.

Nice to have

• Familiarity with Redis.
• Data visualization libraries such as d3.js and plotly.js, and familiarity with Tkinter.
• Experience with LabVIEW, LaTeX, and VBA for Excel.
• A basic understanding of data structures.

Education

• A Bachelor’s in Computer Science or Electrical Engineering is required.