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Computer Science Environmental Jobs in Ontario (NOW HIRING)

We aim to achieve this by cultivating a work environment where all team members belong and have the ... Computer Science, or a related area * Hands-on technical experience in experimentation, causal ...

... environment Minimum Qualifications * Bachelor's degree in a relevant field, such as Engineering, Data Science, Statistics, Computer Science, Economics, or equivalent experience * 5+ years of ...

Background in scientific teaching or exam/problem-set design. * Experience with computational reproducibility and containerized environments. Application Process (Takes 20-30 mins to complete)

Data Scientist

Woodbridge, ON

CA$85K - CA$115K/yr

A University degree in Engineering, Statistics, Mathematics, or Computer Science. * Minimum 3-5 ... We aim to create a safe and supportive environment where all employees can thrive. Accommodation ...

Associate Data Scientist - GenAI

Toronto, ON · Hybrid

CA$69K - CA$115K/yr

D. in Computer Science, Data Science, Statistics, or a related field. * Proven experience as a Data ... We'll recognize and support you in a flexible environment where well-being and inclusion are more ...

Required Qualifications: * Advanced degree in Statistics, Mathematics, Computer Science ... We'll recognize and support you in a flexible environment where well-being and inclusion are more ...

A University degree in Engineering, Statistics, Mathematics, or Computer Science. * Graduate degree ... Advanced coding skills with Python within AWS cloud environment is required. Knowledge of Tableau ...

Showing results 21-40

Computer Science Environmental information

See Ontario salary details

$20K

$67K

$135.5K

How much do computer science environmental jobs pay per year?

As of Aug 22, 2026, the average yearly pay for computer science environmental in Ontario is $67,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $90,500.00 per year, depending on experience, location, and employer.

What is a computer science environmental?

A Computer Science Environmental job involves applying computer science skills to solve environmental challenges, such as climate modeling, data analysis for sustainability, or developing software for environmental monitoring. Professionals in this field work with big data, machine learning, and simulation models to assess environmental impacts and optimize resource management. They may collaborate with scientists, policymakers, and engineers to develop technology-driven solutions for conservation, pollution control, and energy efficiency.

What kinds of projects do computer science environmental professionals typically work on?

Professionals in Computer Science Environmental roles commonly work on projects such as developing models to predict the impacts of climate change, creating software tools for environmental data analysis, or building systems for monitoring air and water quality. You may collaborate with environmental scientists, engineers, and policy makers to design technology-based solutions that address environmental issues. These projects often involve handling large data sets, implementing algorithms, and visualizing results for diverse audiences. This dynamic role offers the opportunity to make a tangible impact on sustainability efforts by leveraging your technical expertise in real-world applications.

What are the key skills and qualifications needed to thrive in the computer science environmental position, and why are they important?

To thrive as a Computer Science Environmental professional, you should possess a solid background in computer science, data analysis, and environmental science, often supported by a relevant degree. Familiarity with programming languages (such as Python or R), geographic information systems (GIS), climate modeling software, and environmental databases is typically required. Strong problem-solving skills, attention to detail, and collaborative communication help individuals stand out in multidisciplinary teams. These skills are vital for effectively developing, analyzing, and implementing technology-driven solutions to complex environmental challenges.

What are popular job titles related to Computer Science Environmental jobs in Ontario?

For Computer Science Environmental jobs in Ontario, the most frequently searched job titles are:

Infographic showing various Computer Science Environmental job openings in Ontario as of August 2026, with employment types broken down into 70% Full Time, 20% Part Time, and 10% Temporary. Highlights an 90% In-person, and 10% Hybrid job distribution, with an average salary of $67,046 per year, or $32.2 per hour.

Principal Analog/Mixed-Signal CAD Engineer

Marvell

Toronto, ON • On-site

Full-time

Re-posted yesterday


Job description

About Marvell

Marvell's semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities.

At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead.

This is an existing vacancy.

Your Team, Your Impact

Analog/Mixed-Signal Design Methodology team supporting AMS and Silicon Photonics IC design teams.

What You Can Expect

  • Setup, maintain and support AMS simulation environment for CMOS FinFET and BiCMOS high speed design projects

  • Work closely with analog design teams and EDA vendors in solving simulation related issues

  • Collaborate with TCAD and foundry technology teams on device/circuit modeling related topics

  • Periodically evaluate/benchmark AMS simulation tools and present to design teams

  • Define, develop and validate custom circuit checks and model QA flows

  • Create automation scripts to improve design/verification team's efficiency

What We're Looking For

  • Bachelor's degree in Computer Science, Electrical Engineering or related fields and 5-10 years of related professional experience or Master's degree and/or PhD in Computer Science, Electrical Engineering or related fields with 3-5 years of experience or equivalent professional experience in lieu of a formal degree

  • Experience in setting up and maintaining analog/mixed-signal simulation flows for advanced FinFET process technologies

  • Proficient in using industry standard analog/mixed-signal simulation tools such as ADE, AMS Designer, Spectre, FineSim, AFS, etc.

  • Good understanding of AMS flows including design entry, simulation, parasitic extraction and post-layout simulation

  • Understanding of device models and experience in debugging complex high speed analog/RF simulation issues

  • Knowledge in Virtuoso Schematic Editor, PDK, CDF, netlisting is desirable

  • Programming skills in TCL, Python, Perl, SKILL, etc. is a plus

  • Good written and verbal communication skills along with the ability to collaborate well with cross-functional teams

Expected Base Pay Range (CAD)

131,300 - 175,000, $ per annum

Additional Compensation and Benefit Elements

With competitive compensation and great benefits, you will enjoy our workstyle within an environment of shared collaboration, transparency, and inclusivity. We're dedicated to giving our people the tools and resources they need to succeed in doing work that matters, and to grow and develop with us. For additional information on what it's like to work at Marvell, visit our Careers page.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

Interview Integrity

To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.

These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.

This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.

Marvell may employ artificial intelligence technologies to assist in the evaluation of job applications. All application reviews include meaningful human involvement, and no hiring decisions are made solely on the basis of automated processing.

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