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Building Science Engineer Jobs in British Columbia

Cadence

Distributed Systems Engineer

Burnaby, BC · On-site

About the Role We're building a next-generation distributed transistor-level electromigration and ... Experience with scientific/engineering data visualization * HPC experience with job schedulers ...

Vancity

Senior Machine Learning Engineer

Vancouver, BC · Remote

As a Senior Machine Learning Engineer, you will join our Data Science & AI Pod, focused on designing, building, and deploying enterprise-wide AI and machine learning solutions that support business ...

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Building Science Engineer information

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$24.5K

$92K

$184K

How much do building science engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for building science engineer in British Columbia is $91,981.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $114,000.00 per year, depending on experience, location, and employer.

What is a building science engineer?

A Building Science Engineer is a professional who applies scientific principles to the design, construction, and operation of buildings to ensure they are energy-efficient, sustainable, and comfortable for occupants. They analyze how different building materials, designs, and systems interact with environmental factors such as heat, air, and moisture. Their work helps optimize building performance, reduce energy consumption, and improve indoor air quality. Building Science Engineers often collaborate with architects, contractors, and other engineers to develop solutions that address both the structural and environmental aspects of buildings.

What are some common interdisciplinary collaborations for a building science engineer, and how do they influence project outcomes?

Building Science Engineers often work closely with architects, structural engineers, HVAC specialists, and sustainability consultants to create energy-efficient and healthy buildings. These collaborations are essential for integrating advanced building systems, ensuring compliance with environmental standards, and optimizing occupant comfort. Regular teamwork and communication help identify potential conflicts early, streamline the design process, and deliver innovative solutions that meet project goals. Being proactive in interdisciplinary teamwork is key to driving successful project outcomes and professional growth in this field.

What are the key skills and qualifications needed to thrive as a building science engineer, and why are they important?

To thrive as a Building Science Engineer, you need expertise in building physics, energy modeling, sustainable design, and typically a degree in engineering or architecture. Familiarity with simulation software such as EnergyPlus, WUFI, and AutoCAD, as well as certifications like LEED or ASHRAE, is commonly required. Strong problem-solving, teamwork, and communication skills help you collaborate with multidisciplinary teams and clients. These competencies are vital for designing energy-efficient, durable, and healthy buildings that meet both regulatory and client expectations.

What is the difference between Building Science Engineer vs Building Envelope Consultant?

AspectBuilding Science EngineerBuilding Envelope Consultant
CredentialsEngineering degree, certifications like LEED or PEEngineering or architecture background, certifications like LEED
Work EnvironmentDesign firms, consulting firms, construction sitesConsulting firms, design teams, construction projects
Industry UsageBuilding design, energy efficiency, sustainabilityBuilding envelope performance, moisture, air leakage

Building Science Engineers and Building Envelope Consultants both focus on building performance, but the former has a broader scope including energy and sustainability, while the latter specializes in envelope systems like insulation and waterproofing. Both roles often collaborate during design and construction phases to ensure building durability and efficiency.

What do building science engineers do?

Building science engineers analyze and improve the performance of buildings by assessing factors such as energy efficiency, indoor air quality, moisture control, and thermal comfort. They use tools like modeling software and conduct field inspections to develop solutions that enhance building durability and sustainability, often working closely with architects, contractors, and clients.

What are popular job titles related to Building Science Engineer jobs in British Columbia?

For Building Science Engineer jobs in British Columbia, the most frequently searched job titles are:

What job categories do people searching Building Science Engineer jobs in British Columbia look for?

The top searched job categories for Building Science Engineer jobs in British Columbia are:

What cities in British Columbia are hiring for Building Science Engineer jobs?

Cities in British Columbia with the most Building Science Engineer job openings:

Building Science Engineer jobs near you
Infographic showing various Building Science Engineer job openings in British Columbia as of August 2026, with employment types broken down into 91% Full Time, and 9% Temporary. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $91,981 per year, or $44.2 per hour.

Distributed Systems Engineer

Cadence Design Systems Inc.

Burnaby, BC • On-site

Full-time

Re-posted 9 days ago

Cadence Design Systems rating

9.0

Company rating: 9.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

33rd of 245 rated software companies

Job description

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

About the Role

We're building a next-generation distributed transistor-level electromigration and IR drop analysis tool. Our team has strong expertise in numerical solvers and circuit simulation algorithms. We're looking for a motivated distributed systems engineer to help build the scalable data processing infrastructure for handling massive circuit designs across distributed computing resources.

What You'll Build

You'll contribute tothe core distributed infrastructure for a Python-based platform orchestrating high-performance C++ solvers, working on:

Data Pipeline & I/O Management

  • Build ingestion pipelines for large-scale netlists and simulation data

  • Implement high-performance I/O for multi-TB circuit databases

  • Develop serialization/deserialization layers bridging Python and C++ components

  • Design streaming interfaces for distributed solver results

Job Orchestration & Workflow

  • Implement task distribution with fault-tolerant scheduling for long-running simulations

  • Develop resource management and load balancing across compute clusters

  • Build monitoring and observability for distributed workflows

  • Optimizetask granularity and dependency management

Visualization & Analytics

  • Develop scalable visualization for multi-dimensional TB-scalesimulation results

  • Implement interactive data exploration with optimization techniques (downsampling, LOD, progressive rendering)

Required Expertise

Distributed Systems

  • 3+ years building distributed systems with Python

  • Experience with distributed computing frameworks (Dask, Spark, Ray, or Celery)

  • Understanding of distributed computing patterns, data locality, and fault tolerance

Data Engineering

  • Experience with high-performance data formats (HDF5, Parquet, Arrow, or similar columnar formats)

  • Familiarity with data partitioning strategies and streaming patterns

  • Some exposure to Python/C++ interop (pybind11, nanobind)

Software Engineering

  • Strong Python, C++ programming skills with production code experience

  • Comfortable working in large codebases and collaborative development environments

  • Understanding of software engineering best practices (testing,code review)

Nice to Have

  • Background in EDA, VLSI, semiconductor design, or computational engineering

  • Experience with scientific/engineering data visualization

  • HPC experience with job schedulers (Slurm, PBS, LSF)

  • GPU acceleration knowledge

  • Familiarity with modern tools (Go, Plotly, Bokeh, Holoviews, Datashader)

  • Open-source distributed computing or other contributions

  • Experience with cloud platforms (AWS, GCP, Azure)

Why Join Us

We bring strong expertise in numerical methods and circuit analysis algorithms, well-defined solver interfaces, and a clear technical vision. You'll work alongside experienced engineers building greenfield distributed infrastructure with modern tools. This is an opportunity to grow your expertise in production-scale distributed systems while solving challenging problems in chip design.

What You'll Learn

  • Production distributed systems architecture and patterns

  • Large-scale data pipeline design and optimization

  • Performance engineering for multi-TB datasets

  • Building reliable, observable infrastructure

  • Working with domain experts in circuit simulation and numerical methods

Ideal Candidate

You're eager to deepen your distributed systems expertise and excited about data pipeline architecture. You have foundational experience with Python distributed computing and want to tackle production-scale challenges. You're comfortable learning new technologies, asking questions, and collaborating with both systems and domain experts. You value clean code, observability, and user experience alongside performance.

No circuit simulation expertise needed. We need your enthusiasm for building scalable, reliable infrastructure and your willingness to grow into a distributed systems expert.

Position Location

  • This is a full-time, on-site position based in Burnaby (Greater Vancouver Area) Canada. In-office attendance is required.

The annual salary range for British Columbia is 89,600 CAD to 166,400 CAD.

You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location.

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