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Software Engineer Startup Jobs in Quebec (NOW HIRING)

Operations About Us SBQuantum is a seed-stage startup at the forefront of magnetic sensing ... software, calibration data, and documentation. Working closely with engineering, you'll build ...

Qui sommes-nous ? Maplr est une startup canadienne offrant à ses membres du monde entier ... Tu as de l'expérience dans un environnement DevOps (CI/CD) ; * Une expérience avec des services ...

Maplr estune startup canadienne qui se consacre a connecter des talents du monde entier avec les projets technologiques les plus passionnants au Canada. Nous offrons un programme d'accompagnement ...

En fait, notre entreprise c'est le modèle type de la startup: structurée, en évolution et en ... Tu n'es pas un Full Stack ou un DevOps ? Pas de problème, tant que tu peux faire du back-end ou du ...

... startup. À PROPOS DE NOUS Le Centre de technologie Corning de Montréal (CTCM) est une équipe de Recherche et Développent qui développe des solutions logicielles favorisant l'adoption des ...

Showing results 41-60

Software Engineer Startup information

See Quebec salary details

$35.5K

$126.5K

$189.5K

How much do software engineer startup jobs pay per year?

As of Sep 6, 2026, the average yearly pay for software engineer startup in Quebec is $126,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,000.00 and $158,000.00 per year, depending on experience, location, and employer.

What is a software engineer startup?

A Software Engineer Startup job involves developing, testing, and maintaining software in a fast-paced, early-stage company. Engineers in startups often wear multiple hats, working on both backend and frontend development, infrastructure, and sometimes even product decisions. The role requires adaptability, problem-solving skills, and the ability to work with limited resources. Unlike larger companies, startup engineers may need to prototype quickly, iterate based on user feedback, and contribute to the overall growth strategy. This position is ideal for those who enjoy dynamic environments and taking ownership of projects.

What are the key skills and qualifications needed to thrive in the software engineer startup position, and why are they important?

To thrive as a Software Engineer in a startup environment, you need solid programming skills, a problem-solving mindset, and a degree in computer science or related experience. Familiarity with agile methodologies, cloud platforms, version control (like Git), and rapid prototyping tools is highly valued, and startup engineers may also benefit from exposure to full-stack development. Adaptability, effective communication, and the ability to work independently in uncertain environments are standout soft skills. These competencies enable engineers to rapidly iterate on products, effectively collaborate across small teams, and contribute to the dynamic demands of a growing company.

What can I expect from the daily work environment as a software engineer at a startup?

Working as a Software Engineer at a startup typically means you'll be part of a small, agile team where roles and responsibilities can shift quickly based on company needs. You'll often participate in daily stand-ups, collaborate closely with founders or product leads, and have the opportunity to contribute ideas beyond your core coding tasks. The pace is usually fast, and you'll likely wear multiple hats, working on everything from prototyping new features to troubleshooting production issues. This hands-on, collaborative atmosphere provides excellent opportunities for skill growth, creative problem-solving, and making a visible impact on the company's direction.

What are popular job titles related to Software Engineer Startup jobs in Quebec?

For Software Engineer Startup jobs in Quebec, the most frequently searched job titles are:

Infographic showing various Software Engineer Startup job openings in Quebec as of August 2026, with employment types broken down into 70% Full Time, 15% Part Time, and 15% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $126,468 per year, or $60.8 per hour.

Technical Product & Delivery Manager | AI | Montreal-based | $140k - $180k + Benefits

White Bay

Montreal, QC

$140K - $180K/yr

Full-time

Posted 11 days ago


Key responsibilities

  • Define the direction and own the roadmap for AI infrastructure, compiler technologies, and large-scale model acceleration initiatives.

  • Coordinate the execution of multiple technical programs, ensuring teams meet shared milestones.

  • Translate research breakthroughs into actionable product goals and engineering deliverables.


Job description

Technical Product & Delivery Manager | AI | Montreal | $140,000 - $180,000 + Benefits



The Company


They’re a team of technologists, researchers, and builders reimagining how software is developed in the era of artificial intelligence. Their work sits at the intersection of AI research, compiler optimization, and systems engineering, where ideas don’t just get theorized but rapidly turned into reality. They move fast, think creatively, and experiment relentlessly to design the next generation of AI-driven developer infrastructure.


This is an environment where curiosity fuels progress, and collaboration between research and engineering isn’t just encouraged, it’s expected. Every project pushes the limits of what’s possible for accelerating deep learning models and optimizing large-scale systems.



The Role


The Technical Product & Delivery Manager acts as the connective tissue between discovery and delivery, the person who translates complex technical breakthroughs into tangible, well-scoped, high-impact releases.


This role is perfect for someone who can see the bigger picture while obsessing over the details, aligning customer needs, research insights, and engineering priorities. They’ll bring structure to chaos, clarity to innovation, and speed to execution. The right candidate will thrive in ambiguity, turning cutting-edge research into roadmap milestones that actually ship.



The Responsibilities


  • Define the direction: Shape and own the roadmap for AI infrastructure, compiler technologies, and large-scale model acceleration initiatives.
  • Orchestrate delivery: Coordinate the execution of multiple technical programs, ensuring all teams move toward shared milestones with precision and focus.
  • Translate complexity: Distill research breakthroughs into actionable product goals and engineering deliverables.
  • Align cross-functionally: Work closely with engineers, researchers, and leadership to balance innovation with deliverability.
  • Ensure visibility: Build and maintain transparent backlogs, sprint cadences, and release documentation that clarify what’s being built, and why.
  • Elevate communication: Present technical outcomes and strategic priorities clearly to internal stakeholders, customers, and partners.
  • Bridge customer and product: Gather developer and enterprise feedback to refine usability, scalability, and performance of next-generation systems.
  • Measure success: Define KPIs, track progress, and ensure delivery meets both business goals and technical excellence.



The Requirements


  • 4+ years of experience in product or program management within a highly technical field (AI, ML, compilers, infrastructure, or systems).
  • Deep familiarity with modern AI development pipelines, from model training through optimization and inference.
  • Comfort collaborating directly with research or infrastructure engineering teams.
  • Understanding of compiler internals, runtime systems, or hardware acceleration frameworks (GPU, TPU, or similar).
  • Proven ability to turn technical insight into strategic plans and product decisions.
  • Exceptional communication skills, able to navigate between researchers, engineers, and executives fluently.
  • Experience thriving in startup or high-velocity environments where clarity and delivery outweigh bureaucracy.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline.



Bonus Points


  • Hands-on coding background or developer empathy.
  • Track record of trying unconventional strategies to deliver faster or smarter.
  • Passion for experimentation, and maybe a strong opinion about hot sauce.



A Strong Start


In the first 90 days, you’ll:

  • Map out all active programs and connect them to the broader roadmap.
  • Establish communication loops between research, engineering, and leadership.
  • Take ownership of the weekly technical sync to drive alignment and decision-making.
  • Define measurable outcomes for key compiler and AI infrastructure projects.
  • Guide the next major release from scoping to delivery — ensuring clarity, momentum, and impact.




Why Join


They offer a collaborative, forward-thinking environment where you’ll shape technology that defines how AI systems are built and deployed. The role comes with competitive compensation, health coverage, flexible hours, and access to some of the most advanced computing platforms available. You’ll have the space to grow professionally, experiment with new ideas, and make a real dent in the future of software engineering.


If you’re the kind of person who can bridge the gap between research curiosity and production reality, they’d love to hear from you. This is an opportunity to lead from the center of innovation, where AI, engineering, and creativity collide. Step in, take charge, and help shape the infrastructure behind the next generation of intelligent systems.



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