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New Grad Computer Engineer Jobs in Calgary, AB (NOW HIRING)

Viridien

Machine Learning Engineer

Calgary, AB

With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions ... Qualifications Preferred Education Degree in Computer Science, Mathematics, Physics, Electrical ...

Mount Royal University

Data Engineer

Calgary, AB · On-site

Develop data designs, scripts, and code for new projects of moderate to high complexity. Design ... Qualifications A Bachelor degree-preferably in computer science, computer/software engineering or ...

ShyftLabs

Data Engineer

Calgary, AB

Identify opportunities to improve data reliability, automate workflows, and generate new insights ... Degree in Computer Science, Engineering, Mathematics, or related STEM discipline . * Strong ...

Vista Projects Limited

Project Engineer

Calgary, AB · On-site

Where We Work The benefits of our approach apply to new asset developments and brownfield ... and CAD support Preferred * Experience in at least one major/large-cap project lifecycle

Rising Edge Group

Studies Engineer

Calgary, AB · On-site

Apply and maintain knowledge of relevant and new legislations, standards, regulations, guides and ... Navigate computer-assisted engineering and design software and equipment to perform engineering ...

Postman

Enterprise Solutions Engineer

Calgary, AB · Remote

Bachelor's degree in Computer Science, a related field, or relevant work experience * Remote work ... Fast learner, excited & willing to learn new technology on an ongoing basis * Excellent ...

Targeted Talent

Senior C++ Software Engineer

Calgary, AB · Remote

$120K - $150K/yr

The work will be heavily related to developing and implementing new features for an SDK. You Have ... A degree in Computer Science. Masters is preferred. * Knowledge and or interest in computer ...

Showpass

Senior Mobile Application Developer

Calgary, AB · On-site

We help event organizers grow their businesses, bring new creators into the live events space, and ... Post-secondary education in a Computer/Engineering/Media/Design/Marketing related field is an asset

Targeted Talent

Senior C++ Software Engineer

Calgary, AB · Remote

$120K - $150K/yr

The work will be heavily related to developing and implementing new features for an SDK. You Have ... A degree in Computer Science. Masters is preferred. * Knowledge and or interest in computer ...

Rising Edge Group

Studies Engineer

Calgary, AB

Apply and maintain knowledge of relevant and new legislations, standards, regulations, guides and ... Navigate computer-assisted engineering and design software and equipment to perform engineering ...

Serve Robotics

Lead Machine Learning Engineer

Calgary, AB · Remote

$225K - $260K/yr

... new model ideas or training approaches. Qualifications * Master's or PhD in Computer Science ... Strong programming skills in Python for implementing machine learning models, data pipelines, and ...

Showpass

Senior Front End Developer

Calgary, AB

We help event organizers grow their businesses, bring new creators into the live events space, and ... Post-secondary education in a Computer/Engineering/Media/Design related field * Minimum 7 years ...

Showpass

Senior Front End Developer

Calgary, AB · On-site

We help event organizers grow their businesses, bring new creators into the live events space, and ... Post-secondary education in a Computer/Engineering/Media/Design related field * Minimum 7 years ...

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Showing results 1-20

All JobsNew Grad Computer Engineer JobsNew Grad Computer Engineer Jobs in Calgary, AB

New Grad Computer Engineer information

What is the difference between New Grad Computer Engineer vs Software Developer?

AspectNew Grad Computer EngineerSoftware Developer
Required CredentialsBachelor's in Computer Engineering or related fieldBachelor's in Computer Science, Software Engineering, or related field
Work EnvironmentHardware and software integration, embedded systems, networkingApplication development, coding, debugging
Employer & Industry UsageTech companies, hardware firms, embedded systemsTech firms, startups, software companies

While both roles often require a bachelor's degree, New Grad Computer Engineers focus on hardware-software integration and embedded systems, whereas Software Developers primarily work on application coding and software solutions. The roles may overlap in tech companies, but their core responsibilities and skill sets differ.

What are the key skills and qualifications needed to thrive as a New Grad Computer Engineer, and why are they important?

To thrive as a New Grad Computer Engineer, you need a solid understanding of computer science fundamentals, programming languages (such as Python, Java, or C++), and a relevant bachelor's degree. Familiarity with development tools, version control systems like Git, and experience with software or hardware development environments are typically required. Problem-solving, strong communication, and a willingness to learn new technologies help new grads stand out. These skills are crucial for effectively contributing to project teams, adapting to evolving industry demands, and building a successful engineering career.

What does a New Grad Computer Engineer do?

A New Grad Computer Engineer typically works on designing, developing, testing, and maintaining computer hardware or software systems. They may collaborate with teams to create and optimize systems, troubleshoot technical issues, and contribute to various stages of product development. As recent graduates, they often receive mentorship and training to build their skills and adapt to professional environments. Their roles can vary widely depending on the industry and company, ranging from embedded systems to application development.

What are some common challenges new grad computer engineers face when transitioning from academia to a professional work environment?

New grad computer engineers often find the transition to a professional setting challenging due to the need to quickly adapt to real-world development processes, such as agile workflows, version control systems, and collaborative coding practices. Unlike academic projects, industry work typically involves larger codebases, strict deadlines, and cross-functional teamwork, requiring strong communication skills and the ability to ask for help when needed. Additionally, understanding business requirements and balancing technical decisions with organizational goals can be a learning curve, but these challenges provide valuable opportunities for growth and skill development.
New Grad Computer Engineer jobs near you

Machine Learning Engineer

Viridien

Calgary, AB

Full-time

Posted 5 days ago

Job description

Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.

Machine Learning Engineer

Calgary, AB, Canada

Full-time

Company Description

Viridien is a global technology and HPC leader that provides data, products, services and solutions in Earth science, data science, sensing and monitoring. Our unique portfolio supports our clients in efficiently and responsibly solving complex digital, energy transition, natural resource, environmental, and infrastructure challenges for a more sustainable future.

Job Description

Viridien is looking for a Machine Learning (ML) Engineer to help us create artificial intelligence systems and tools. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. Strong skills in statistics and programming, as well as knowledge of data science and software engineering. As an integral member of our team, we highly encourage the contribution of ideas and drive in the generation of new concepts to maintain our outstanding leadership position for technology and service delivery in the marketplace.

Must be legally authorized to work in Canada.

Qualifications

Preferred Education

Degree in Computer Science, Mathematics, Physics, Electrical Engineering, or other related technical disciplines.

Key Skills & Competencies

  • Passion and aptitude for programming and technology
  • Enthusiasm for analytical and problem-solving challenges
  • Strong enterprise project experience with Machine Learning and AI
  • Strong programming skills within one or more of these development languages - C / C++ / R / Java / Python
  • Good experience with Large Language Model technologies
  • Experience within Data Engineering/Data Structuring
  • Experience creating Machine Learning Algorithms and/or Libraries.
  • Proven experience with deep learning frameworks and usage of DL libraries (TensorFlow/PyTorch)
  • Proficiency to design, build, test, and support innovative solutions.
  • Ability to define and manage project deadlines and balance workloads across a wide variety of projects.
  • Effective communication skills to keep all stakeholders regularly informed on progress.
  • Drive to innovate and have fun through collaboration and generation of ideas which lead to enhancements of our workflows.
  • Enthusiastic attitude towards learning and flexibility to adapt to new challenges or changes in direction.

Other Skills/Experience:

  • Data Visualization
  • Predictive Analysis
  • Statistical Modeling
  • Data Mining
  • Clustering & Classification
  • Data Analytics
  • Quantitative Analysis
  • Web Scraping
  • Model Development

Responsibilities:

  • Design machine learning systems
  • Collaborate with stakeholders and technology team to efficiently develop AI solutions.
  • Research and implement appropriate ML algorithms and tools.
  • Develop machine learning applications according to requirements.
  • Provide support to achieve successfully deployed models at conclusion of projects.
  • Plan and manage data analysis workflows.
  • Create charts, graphs, maps, and data visualization tools to provide an accessible way to see/understand trends, patterns, outliers, in data.
  • Select appropriate datasets and data representation methods.
  • Run machine learning tests and experiments.
  • Train and retrain systems when necessary.
  • Extend existing ML libraries and frameworks.

We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.

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