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Scientific Software Developer Jobs in Alberta (NOW HIRING)

These are tools used daily by engineers and scientists at the world's largest energy companies and ... At Landmark, that means working on software that oil and gas operators depend on for high-stakes ...

These are tools used daily by engineers and scientists at the world's largest energy companies and ... At Landmark, that means working on software that oil and gas operators depend on for high-stakes ...

They are looking for a senior C++ developer to join their team. They have a range of products with ... science * Strong proficiency in C/C++ development * 5+ years experience developing complex software ...

They are looking for a senior C++ developer to join their team. They have a range of products with ... science * Strong proficiency in C/C++ development * 5+ years experience developing complex software ...

They are looking for a senior C++ developer to join their team. They have a range of products with ... science * Strong proficiency in C/C++ development * 5+ years experience developing complex software ...

They are looking for a senior C++ developer to join their team. They have a range of products with ... science * Strong proficiency in C/C++ development * 5+ years experience developing complex software ...

SDET

Edmonton, AB ยท On-site

... for a Software Developer in Test to join our team and drive our projects to success. Position ... BSc (minimum) in Engineering, Computer Science, or comparable area of studies - or equivalent. * 4 ...

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Scientific Software Developer information

See Alberta salary details

$11K

$138K

$253K

How much do scientific software developer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for scientific software developer in Alberta is $138,044.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,000.00 and $141,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Scientific Software Developer position, and why are they important?

A Scientific Software Developer requires strong programming skills (such as Python, C++, or Java), a solid background in scientific concepts, and typically a degree in computer science, engineering, mathematics, or a related field. Familiarity with scientific computing libraries, version control systems (like Git), and experience using high-performance computing (HPC) resources are often expected; certifications in these tools can be advantageous. Excellent problem-solving, communication, and collaboration skills help contribute effectively to research-driven, multidisciplinary teams. These capabilities are vital to translate complex scientific needs into reliable and reproducible software solutions that advance research goals.

What does a Scientific Software Developer do?

A Scientific Software Developer designs, develops, and optimizes software tools to support scientific research and analysis. They work closely with scientists to create algorithms, simulations, and data-processing pipelines tailored to specific research needs. This role often involves proficiency in programming languages like Python, C++, or Fortran, as well as expertise in numerical computing, data visualization, and high-performance computing.

What kinds of projects or research areas might a Scientific Software Developer typically work on?

Scientific Software Developers are often involved in developing, optimizing, and maintaining software used in fields such as bioinformatics, physics simulations, environmental modeling, data analysis, and computational chemistry. Their projects can span from designing algorithms for processing large-scale scientific data to creating user interfaces or automating laboratory workflows. Depending on the employer, you may work closely with scientists and researchers to understand domain-specific needs and translate them into technical solutions. This collaborative environment enables you to contribute directly to scientific discoveries while growing your technical and domain expertise.

What are popular job titles related to Scientific Software Developer jobs in Alberta? For Scientific Software Developer jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Scientific Software Developer jobs in Alberta look for? The top searched job categories for Scientific Software Developer jobs in Alberta are:
Infographic showing various Scientific Software Developer job openings in Alberta as of May 2026, with employment types broken down into 2% As Needed, 89% Full Time, 3% Part Time, 3% Temporary, and 3% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $138,044 per year, or $66.4 per hour.

Staff Software Developer, AI (Calgary, Canada)

Syndio

Calgary, AB โ€ข Remote

CA$240K/yr

Other

Retirement

Posted 17 days ago


Job description

About the role:

We are seeking a talented Staff-level AI Developer to join our applied AI team. In this role, you will be responsible for designing, building, and scaling our AI systems that solve complex problems related to compensation and compliance. You'll work closely in a cross-functional squad that includes data scientists, software engineers, product managers, and business stakeholders.ย 

You will have the opportunity to work at the forefront of AI innovation-exploring emerging tools and techniques while translating them into production-ready solutions that deliver real business impact.

Why this job is exciting:

  • Design, develop, and deploy production AI/ML systems that deliver business impact to our customers.ย 
  • Build and maintain LLM-based applications leveraging context engineering techniques and toolsets.ย 
  • Collaborate with data scientists to transition approved proof of concepts from a research environment into production.ย 
  • Integrate AI capabilities into existing products and services through APIs and microservices.
  • Design and implement evaluation frameworks to assess model accuracy, reliability, and task-specific performance.
  • Monitor production performance and implement optimizations based on evaluation metrics and real-world usage patterns.
  • Stay up-to-date with the rapid changes in the AI landscape (e.g., new foundation models, quantization techniques) and prototype new ideas quickly.

About you:

  • Proficiency developing clean modular and efficient code with Python
  • Track record building and deploying AI systems within Google Cloud Platform, familiarity with BigQuery, Firebase, and Vertex AI
  • Working knowledge of Google Gemini, OpenAI, and Anthropic APIs
  • Familiarity with evaluation methodologies for assessing LLM accuracy, hallucinations, and task-specific performance
  • Exposure to-or strong interest in-vector databases, semantic search, agent frameworks, and protocols like MCP for connecting AI systems to external tools and data sources
  • Fluent with AI-assisted development tools (Cursor, Claude Code, GitHub CoPilot)
  • Foundational knowledge of machine learning concepts, model architectures, and LLM capabilities and constraints
  • Natural curiosity and passion for staying current with rapidly evolving AI technologies
  • Ability to balance innovation with practical business requirements
  • Adaptable when navigating ambiguity and rapidly shifting priorities
  • Comfortable communicating technical concepts and trade-offs to non-technical stakeholders

Bonus Points:

  • Bachelor's degree in Computer Science, Machine Learning, Mathematics, Statistics, Data Science, or quantitative field OR equivalent hands-on experience in a related professional industry

How we work:

  • We believe in starting simple, soon - progress over perfection. We value architectural clarity and execution speed. You'll be joining a small, ambitious team committed to high trust, low ego collaboration. It's a dynamic environment where teams embrace ambiguity, adapt quickly to change, and move fast to seize opportunity. As such, we empower engineers to make bold moves and back it up with a culture that supports learning through iteration.
  • Applicants must currently reside within commuting distance of Calgary, Alberta, Canada for consideration.ย Relocation is not currently offered.
    • Kindly note, you must also be eligible to work in Canada legally, as we are NOT able to provide visa support or transfer at this time.
Why you'll love it here:
  • Competitive Compensation. For this role our base salary is targeted at $205-240k CAD. Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location.ย 
  • Syndio Equity. So you can share in Syndio's success.
  • 20 days annually. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, and voting leave.ย 
  • Pension Contribution
  • Remote-First with opportunities for local meet-ups in Calgary #LI-Remoteย 

Role progression:

  • Month 1: Immediate Impact
    From day one, you'll be immersed in our platform, infrastructure, and codebase. We expect a rapid learning curve and the ability to quickly contribute. A key deliverable for your first month will be deploying a feature that demonstrates your grasp of our systems and your ability to execute effectively.
  • Month 2: Proactive Contribution
    You'll move beyond the initial learning phase and take a proactive role in identifying opportunities for improvement. This will involve deep dives into our endpoints, independent problem-solving, and a demonstrated ability to iterate and enhance our product.
  • Month 3: Driving Innovation
    By the third month, you'll be a fully integrated member of our AI team, operating at full capacity. This includes active participation in technical discussions, independent execution of complex tasks, and the ability to propose and implement innovative technical solutions.

The Interview Overview:

Below you'll find an outline of the interview plan for our Staff AI Developer position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.

  1. 30 min - Phone call with a member of our Talent Team
  2. 75 min - Zoom interview with the Hiring Manager
  3. Skills Evaluation - Take-home Assignment
  4. 75 hr - Technical Interview with Team
  5. 30 min - Executive Interview