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Bs In Computer Science Jobs in Quebec (NOW HIRING)

Partner with the algorithms team (signal processing, computer vision) on integration with their lower-level pipelines What we're looking for * BS in Computer Science, Engineering, or a related field ...

Skills: • Bachelor's Degree in Computer Science, Computer Engineering or similar. • 5+ years of experience developing and supporting large production systems. • Fixed Income domain knowledge ...

New

Senior C++ Software Engineer

Quebec, QC · Remote

$120K - $150K/yr

A degree in Computer Science. Masters is preferred. * Knowledge and or interest in computer graphics, document formats (especially page description languages such as PDF, SVG, XPS, PostScript), image ...

A degree in Computer Science. Masters is preferred. * Knowledge and or interest in computer graphics, document formats (especially page description languages such as PDF, SVG, XPS, PostScript), image ...

Senior C++ Software Engineer

Quebec, QC · Remote

$120K - $150K/yr

A degree in Computer Science. Masters is preferred. * Knowledge and or interest in computer graphics, document formats (especially page description languages such as PDF, SVG, XPS, PostScript), image ...

A degree in Computer Science. Masters is preferred. * Knowledge and or interest in computer graphics, document formats (especially page description languages such as PDF, SVG, XPS, PostScript), image ...

Have a Bachelor in Computer Science, Software Engineering, Information Technologies or a relevant combination of studies and experience * Good communication skills to provide trainings, explain ...

A degree in computer science * Strong proficiency in C/C++ development * 5+ years experience developing complex software projects and applications. * Knowledge and/or interest in computer graphics ...

Showing results 21-40

Bs In Computer Science information

What can you do with a BS in Computer Science?

A Bachelor of Science (BS) in Computer Science prepares graduates for a wide range of careers in technology and related fields. Common job roles include software developer, systems analyst, data scientist, cybersecurity analyst, and IT consultant. Graduates can work in industries such as finance, healthcare, education, and entertainment, or pursue advanced degrees in computer science or related disciplines. The degree equips students with skills in programming, problem-solving, and system design, which are highly sought after in today’s digital world.

What are the key skills and qualifications needed to thrive with a BS in Computer Science?

To thrive with a BS in Computer Science, you need a solid understanding of programming languages, algorithms, data structures, and software development principles, typically backed by a bachelor's degree in the field. Familiarity with tools such as version control systems (e.g., Git), integrated development environments (IDEs), and common frameworks or platforms is often required. Strong problem-solving abilities, teamwork, and effective communication make candidates stand out in technical environments. These skills are crucial for building reliable software solutions, collaborating efficiently, and adapting to the rapidly evolving tech landscape.

What types of entry-level roles are commonly available to candidates with a BS in Computer Science, and how do these roles typically support career growth?

Graduates with a BS in Computer Science often find entry-level opportunities such as software developer, quality assurance analyst, IT support specialist, or data analyst. These roles typically involve working within a collaborative team, gaining hands-on experience with real-world projects, and learning from senior engineers or mentors. As you build technical skills and demonstrate reliability, there are clear pathways to advance into specialized areas like software engineering, cybersecurity, or project management. Proactively seeking mentorship and participating in cross-functional projects can accelerate professional growth within the tech industry.

What is the difference between Bs In Computer Science vs Software Developer?

AspectBs In Computer ScienceSoftware Developer
Required CredentialsBachelor's degree in Computer Science or related fieldOften requires a bachelor's degree in Computer Science, Software Engineering, or related field
Work EnvironmentAcademic, research, or industry settings involving programming, algorithms, and systemsPrimarily in software development teams, coding, testing, and deploying applications
Industry UsageUsed as a foundational degree for various tech roles, including software developmentCommonly employed in tech companies, startups, and IT departments

While a Bs In Computer Science provides a broad theoretical and practical foundation in computing, a Software Developer focuses specifically on designing, coding, and maintaining software applications. Both roles often overlap in skills and work environments, but the degree offers more versatility across tech careers.

Are Bs in computer science majors still in demand?

A Bachelor of Science in Computer Science remains a highly in-demand degree, as software development, data analysis, cybersecurity, and IT roles continue to grow across various industries. Employers value skills in programming languages, problem-solving, and familiarity with tools like Python, Java, and cloud platforms, making graduates competitive in the job market.

What are popular job titles related to Bs In Computer Science jobs in Quebec?

For Bs In Computer Science jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Bs In Computer Science jobs in Quebec look for?

The top searched job categories for Bs In Computer Science jobs in Quebec are:

Infographic showing various Bs In Computer Science job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 74% Physical, 2% Hybrid, and 24% Remote job distribution.

Applied AI Engineer

Montreal, QC • On-site

Norbert Health
Fitness and Sports Centers • 11 - 50 employees

Full-time

Medical, Vision

Re-posted 19 days ago


Job description

The company

Norbert is building autonomous robots that deliver healthcare.

Our AI sensing platform enables existing robotic platforms to become care team members: rounding on patients, capturing vitals without contact (FDA-cleared for pulse and respiratory rate, more in the pipeline), running assessments, documenting to the EMR, and escalating when something's wrong. Autonomously.

We're not building demos. We're deployed in real facilities today, monitoring hundreds of patients daily. We're solving one of healthcare's hardest problems: a global nursing shortage that will hit 40% by 2030.

We're a small, international team backed by top-tier VCs, with offices in Brooklyn, Paris, and Montreal. We ship things that matter.

The position

We're looking for an Applied AI Engineer to take our growing collection of foundation models and ML components from manually run, sometimes locally trained workflows to fully automated, production-grade MLOps pipelines: deployed reliably on robots in nursing facilities. We need someone who knows the model landscape cold, treats evaluation as a first-class engineering problem, and has strong opinions about when to prompt, RAG, fine-tune, swap, or buy.

You'll work across cloud and edge deployments, and some of the systems you'll touch are on a SaMD pathway, so you'll need to be comfortable shipping under regulatory constraints.

What you'll do
  • Integrate foundation models and ML components (VLMs, LLMs, ASR/TTS, detection/segmentation, embeddings) into our production pipelines, using both open-weight models and third-party APIs
  • Build RAG and agent-style orchestration for clinical reporting and conversational interfaces
  • Ship real-time streaming pipelines (voice agents) alongside batch and request-response workloads
  • Build evaluation harnesses that catch regressions across model swaps and measure performance against clinical-grade accuracy targets
  • Fine-tune and retrain models (LoRA, PEFT, supervised fine-tuning) using data collected from our deployed fleet
  • Deploy across our inference surfaces: third-party APIs, self-hosted, and on-robot edge
  • Build the data flywheel: pipelines that collect, label, version, and feed production data back into model improvement
  • Partner with the algorithms team (signal processing, computer vision) on integration with their lower-level pipelines
What we're looking for
  • BS in Computer Science, Engineering, or a related field, or equivalent hands-on experience
  • 4+ years shipping ML/AI systems in production outside of academic settings
  • Strong working knowledge of the modern foundation model landscape (open-weight LLMs and VLMs, common detection/segmentation backbones, embedding models)
  • Hands-on experience with PEFT/LoRA and supervised fine-tuning
  • Strong Python; comfortable with the deployment toolchain (ONNX, quantization, at least one inference runtime-TensorRT, vLLM, llama.cpp, etc.)
  • Experience with a cloud ML training/MLOps platform (GCP Vertex AI, AWS SageMaker, Azure ML, or equivalent)
  • Ability to work independently, solve complex problems, and drive projects to completion
Bonus points
  • Edge ML deployment (Jetson, ARM, mobile NPUs)
  • Real-time voice AI pipelines (STT, TTS, streaming LLM)
  • Production RAG systems beyond toy implementations
  • Medical devices, SaMD, or other regulated ML environments
  • MLOps tooling (Weights & Biases, MLflow, DVC, etc.)
  • Active learning or human-in-the-loop labeling workflows
  • C++ for integrating with our computer vision pipeline
What we offer
  • Real impact: your code provides care for patients today
  • High autonomy and technical ownership-you'll define how we operate AI in production
  • Work at the intersection of cutting-edge AI, edge computing, and healthcare
  • A talented, excellent, diverse and international team
  • Equity participation in the company's future
  • Cutting-edge stack: embedded AI, robotics, LLMs, multimodal sensing
  • Transparent, mission-driven culture focused on continuous learning
  • Competitive salary and equity
Employment Type: FULL_TIME