Mechanical Engineer
Regardless of level, the primary responsibilities of mechanical engineers are:
Responsibilities
Section titled “Responsibilities”Building Science & Research
Section titled “Building Science & Research”- Conduct building science research with an emphasis on formulation of questions to inform product design in the mid to long term
- Work with the data science/data engineering folks to adapt building science approaches and models to data-driven approaches backed by a modern data pipeline
- Ensure that recommendations created using our tools are technically sound and will speed building decarbonization in existing buildings
- Incorporate climate justice into building science practice
Cross-Functional Collaboration
Section titled “Cross-Functional Collaboration”- With the marketing and content folks, translate science insights into effective context-aware end-user education
- Interface with customers in a support or leadership role and translate customer requests into potential software features
- Clearly articulate scope of accountability in work plans
- Wear multiple hats as necessary - data quality assurance and scientific analysis may make up a significant portion of the workload
Levels
Section titled “Levels”- Principal Mechanical Engineer (Senior) - generally take leadership roles in making meaningful directional decisions
- Mechanical Engineer
Top 5 Competencies
Section titled “Top 5 Competencies”This role combines Manager of One competencies with:
- Understand building science fundamentals - Deep familiarity with HVAC, building envelopes, and operations impacting energy and carbon
- Think in systems - Understand interconnections between building infrastructure and marketplace participants
- Apply decarbonization strategies - Ensure recommendations are technically sound and speed building decarbonization
- Use data to drive decisions - Adapt building science models to data-driven approaches with modern pipelines
- Collaborate and elevate the team - Technical polyglot bridging building science, data science, and software engineering
Additional Domain Expertise
Section titled “Additional Domain Expertise”-
Open-minded Pragmatist
- Sound judgment on what analysis frameworks and technologies are constructive to leverage in order to meet deeper decarbonization goals and which ones are necessary to cast aside.
- A deep enough appreciation of complexity in order to most effectively identify sufficiently simplified decarbonization approaches.
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Systems Thinker
- An understanding of the interconnections between building infrastructure elements as well as marketplace participants that impact how this infrastructure is maintained and replaced.
- An understanding of how the behavior of any system follows from its design and therefore why realizing different behavior requires system redesign.
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Decarbonization Mechanics
- Deep familiarity with the real world performance of HVAC, building envelopes and building operations that impact energy use and carbon emissions.
- Appreciation for the relative strengths of different decarbonization technologies in different applications.
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Technical Polyglot
- Communication in the languages of building science, data science, software engineering and non-technical language to share information with and learn from a diverse group of collaborators.
- An ability to contribute to software development by reviewing and potentially writing code for data analysis and calculation methodologies.
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360-degree leadership
- Comfortable leading others to solutions
- Comfortable asking for and giving help
Requirements
Section titled “Requirements”-
Minimum 5 years or 10 years (Principal) of experience scoping, analyzing and/or commissioning retrofit upgrades in existing multifamily and commercial buildings including:
- Benchmarking
- Energy auditing and retro-commissioning
- Decarbonization feasibility studies
- Retrofit project implementation services
- Building systems data analysis
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1-5 years experience leading or contributing to building science research projects and/or technical guideline development around building performance to support policymakers and program administrators.
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Proficiency with some programming language used for software development or data analysis, and a willingness to learn new languages. Examples include: SQL, R, PHP, Python.