The Role
Build and maintain automated production test environments for embedded Linux instruments. Automate device identification, network boot, disk and filesystem setup, software installation, and test suites. Integrate calibration and configuration data with cloud systems, troubleshoot across hardware/software/network layers, and collaborate with cross-functional teams to improve production provisioning, testing, and recovery workflows.
Summary Generated by Built In
ABOUT US
Aeris Technologies, Inc., a subsidiary of Project Canary, develops and commercializes advanced, laser-based gas analyzers for trace gas monitoring across environmental, industrial, laboratory, and field applications. Aeris instruments deliver high-precision, real-time measurements of greenhouse gases, atmospheric pollutants, and natural gas leak indicators, helping customers collect reliable data in fixed, mobile, handheld, and aerial configurations.
Aeris Technologies, Inc., a subsidiary of Project Canary, develops and commercializes advanced, laser-based gas analyzers for trace gas monitoring across environmental, industrial, laboratory, and field applications. Aeris instruments deliver high-precision, real-time measurements of greenhouse gases, atmospheric pollutants, and natural gas leak indicators, helping customers collect reliable data in fixed, mobile, handheld, and aerial configurations.
As part of Project Canary, Aeris supports a broader climate technology platform that helps energy companies improve and report on their emissions footprint. Project Canary combines high-fidelity sensors, data from multiple technologies and sources, and proprietary analytics to deliver actionable insights that help operators stop leaks faster, reduce risk, streamline reporting, and differentiate their operations for key stakeholders.
Aeris’s technology brings lab-grade gas sensing performance into the field, supporting applications in environmental monitoring, industrial safety, air quality, research, and emissions measurement.
About the RoleThe Embedded Test Automation Engineer will build and maintain the automated production test environment for our embedded Linux instruments. This role connects hardware, embedded software, lab systems, and cloud infrastructure to support reliable device provisioning, calibration, testing, and recovery.
You will develop tools and workflows that identify and network-boot devices, configure storage and file systems, install software, and validate system functionality. You will also integrate device calibration results and configuration parameters with cloud-based systems to maintain accurate production records and support disaster recovery.
We’re looking for an engineer who enjoys solving problems across hardware and software and can turn complex production processes into reliable, repeatable automation.
Key Responsibilities
- Build and maintain an integrated automated test environment for embedded Linux hardware.
- Automate device identification, network booting, disk partitioning, file system configuration, and software installation.
- Develop secure workflows that store and retrieve device-specific calibration results and instrument configuration data from cloud-based systems.
- Design and expand automated test suites using Python, Pytest, LabVIEW, or similar tools.
- Develop Python tools that integrate with existing LabVIEW and Python calibration systems.
- Troubleshoot issues across hardware, operating systems, software, and network connections.
- Partner with hardware, firmware, test, manufacturing, and cloud teams to improve device bring-up, testing, and configuration.
- Improve the reliability, repeatability, and maintainability of production test processes.
Skills, Knowledge and Expertise
Required Qualifications:
- 4–7 years of experience in embedded systems, test automation, manufacturing test engineering, or a related field.
- Strong Python programming skills and experience building maintainable automation tools.
- Hands-on experience using Pytest or a similar framework for hardware, system, or integration testing.
- Working knowledge of embedded Linux, including boot processes, network booting, storage partitioning, and file system configuration.
- Experience integrating systems through APIs, cloud databases, or other data services.
- Ability to diagnose complex issues across hardware, operating systems, software, and networks.
- Experience working across engineering disciplines to deliver production-ready systems.
- Practical approach to documentation, error handling, and long-term maintainability.
Nice to Have:
- Experience developing or maintaining LabVIEW automation and integrating LabVIEW with Python.
- Familiarity with hardware-in-the-loop test environments and automated laboratory equipment.
- Experience applying CI/CD practices to embedded systems or physical hardware testing.
- Experience supporting production provisioning, calibration, or manufacturing test systems.
- Familiarity with cloud-based data storage, device configuration management, or disaster-recovery workflows.
Benefits
- Salary range: $130,000 - $150,000 annual base
- Health, dental, and vision insurance with low deductibles and premiums paid by company 99% for self and 50% for dependents and/or spouse
- 401K with company match (no vesting period)
- Student loan assistance
- Generous culture around time off, including:
- Unlimited PTO
- 6 days of sick time per year
- 11 paid company holidays per year
- up to 12 weeks of fully paid parental leave (gender neutral) including adoptions
About
Project Canary was founded in 2019 with a vision to measure what matters – the greenhouse gases emitted from critical parts of our energy infrastructure. Our team is constantly pushing the envelope to bring more visibility to the emissions problem than ever before – enabling the energy sector to reduce its carbon footprint.
Skills Required
- 4-7 years of experience in embedded systems, test automation, manufacturing test engineering, or related field.
- Strong Python programming skills and experience building maintainable automation tools.
- Hands-on experience using Pytest or a similar framework for hardware, system, or integration testing.
- Working knowledge of embedded Linux, including boot processes, network booting, storage partitioning, and file system configuration.
- Experience integrating systems through APIs, cloud databases, or other data services.
- Ability to diagnose complex issues across hardware, operating systems, software, and networks.
- Experience working across engineering disciplines to deliver production-ready systems.
- Practical approach to documentation, error handling, and long-term maintainability.
- Experience developing or maintaining LabVIEW automation and integrating LabVIEW with Python.
- Familiarity with hardware-in-the-loop test environments and automated laboratory equipment.
- Experience applying CI/CD practices to embedded systems or physical hardware testing.
- Experience supporting production provisioning, calibration, or manufacturing test systems.
- Familiarity with cloud-based data storage, device configuration management, or disaster-recovery workflows.
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The Company
What We Do
Project Canary® is an environmental data and software company that collects, analyzes, quantifies, and visualizes asset-level environmental risk assessments and emission profiles. As a measurement, reporting, and verification (MRV) solution, the Canary SENSE Platform™ integrates a networked sensor canopy, including 3rd party sensor data and assessment scores, to provide independently verifiable climate attribute data for upstream, midstream, and CCS (carbon capture and sequestration) projects. Project Canary’s insights help energy organizations improve performance, manage risks, and deliver auditable decarbonization data. Formed as a Public Benefit Corporation, the U.S. Colorado-based team includes scientists, engineers, and industry operators focused on the path to True Zero™.
