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Mobile Core Network Engineer Jobs in Toronto, ON

Head of Engineering

Toronto, ON ยท On-site

$120 - $160/hr

We allow developers to, with no modifications to their code, transform existing mobile apps into ... You should already think of agentic systems and LLM-based tooling as a core part of how you ...

We allow developers to, with no modifications to their code, transform existing mobile apps into ... You should already think of agentic systems and LLM-based tooling as a core part of how you ...

We allow developers to, with no modifications to their code, transform existing mobile apps into ... You should already think of agentic systems and LLM-based tooling as a core part of how you ...

Building on the smartphone foundation and the scale of mobile, We envision making AI ubiquitous ... Understanding trends in ML network design, through customer engagements and latest academic ...

Our stack spans .NET Core / C# and Angular, running on Azure, with SQL Server, MySQL, and ... and native mobile apps on iOS and Android. We work in an agile environment with modern DevOps ...

Thermal Engineer -Liquid Cooling

Markham, ON ยท On-site

CA$85K - CA$140K/yr

... center, mobile, RF, networking, industrial, business equipment, and automotive. Amphenol ... Thermal Engineer - Liquid Cooling Location: Markham, ON New Position Position Overview We are ...

Thermal Engineer -Liquid Cooling

Markham, ON ยท On-site

CA$85K - CA$140K/yr

... center, mobile, RF, networking, industrial, business equipment, and automotive. Amphenol ... Thermal Engineer - Liquid Cooling Location: Markham, ON New Position Position Overview We are ...

Quality Engineer II - Mobile Automation

Toronto, ON ยท On-site

CA$81K - CA$115K/yr

Strong knowledge of Core-Java concepts (OOP, collections, exception handling) * Hands on experience ... Experience with Appium for mobile application automation. * Good hold of Cucumber framework for ...

Showing results 41-60

Mobile Core Network Engineer information

See Toronto, ON salary details

$28.6K

$108.1K

$165.1K

How much do mobile core network engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for mobile core network engineer in Toronto, ON is $108,138.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,276.00 and $130,267.00 per year, depending on experience, location, and employer.

What is a mobile core network engineer?

A Mobile Core Network Engineer is responsible for designing, implementing, and maintaining the core network infrastructure that enables mobile communication services. They work with technologies such as 4G LTE, 5G, and VoLTE to ensure seamless connectivity, call processing, and data transmission. Their tasks include network optimization, troubleshooting, integrating new services, and ensuring high availability and performance of the core network. They collaborate with various teams, including radio network engineers and software developers, to enhance network efficiency. This role requires strong knowledge of telecommunications protocols, networking principles, and emerging mobile technologies.

What are some typical daily responsibilities for a mobile core network engineer?

Mobile Core Network Engineers are responsible for configuring, monitoring, and optimizing core network infrastructure to ensure reliable data and voice services. Their daily tasks include troubleshooting network issues, implementing upgrades or patches, analyzing performance metrics, and coordinating with teams across planning, operations, and security. The role often involves responding to incidents promptly, maintaining system documentation, and supporting network integration projects. Collaboration with other engineers and departments is key, making this position both technically rewarding and highly interactive.

What are the key skills and qualifications needed to thrive as a mobile core network engineer?

To thrive as a Mobile Core Network Engineer, you need in-depth knowledge of mobile network architecture, protocols like LTE/5G, and a background in telecommunications or computer science. Hands-on experience with core network elements (EPC, IMS), network monitoring tools, and certifications such as CCNP or vendor-specific credentials are highly valued. Strong analytical thinking, effective communication, and the ability to work both autonomously and in cross-functional teams are essential soft skills. These competencies ensure robust network performance, smooth issue resolution, and seamless collaboration in complex mobile environments.

What are the most commonly searched types of Core Network Engineer jobs in Toronto, ON?

The most popular types of Core Network Engineer jobs in Toronto, ON are:

What are popular job titles related to Mobile Core Network Engineer jobs in Toronto, ON?

For Mobile Core Network Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Mobile Core Network Engineer jobs in Toronto, ON look for?

The top searched job categories for Mobile Core Network Engineer jobs in Toronto, ON are:

Infographic showing various Mobile Core Network Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $108,138 per year, or $52 per hour.

Head of Engineering

Parallelz

Toronto, ON โ€ข On-site

$120 - $160/hr

Other

Medical, Dental, Vision, Retirement

Re-posted 8 days ago


Job description

Parallelz is building a new technology platform that enables new ways of delivering, discovering, and extending mobile applications, ways that were never thought possible. We allow developers to, with no modifications to their code, transform existing mobile apps into web-native apps that can run anywhere, all without a walled garden app store.

You will be getting in at a pivotal stage, owning the technical strategic roadmap, building a world-class technical team, and working in a small, agile, flat organization to evolve our R&D initiatives into a live, scaled operational platform that will have an impact across the industry.

As Head of Engineering, you will lead a small, senior team of graphics, systems, and platform engineers building deeply technical infrastructure: browser-native runtimes, GPU-accelerated rendering pipelines, low-latency streaming, and the cloud backbone behind it. You will own the technical roadmap end-to-end and partner closely with the CEO to translate product priorities into clear architectural direction.

Parallelz is an AI-native organization. We are not looking for a leader who tolerates AI tooling. We are looking for one who runs on it. You should already think of agentic systems and LLM-based tooling as a core part of how you architect, ship, debug, and review software, and you should be able to push that culture and discipline through an entire engineering team.

Our founding team and advisors are serial entrepreneurs and technologists from Google, Mozilla, MIT Media Labs, and other top organizations. The company is joined by top-tier and global venture funds and angel investors.

Key Responsibilities
  • Own the architectural design and technical roadmap end-to-end across the product and our cloud-based infrastructure, partnering closely with the CEO to translate business and product priorities into clear technical direction while ensuring scalability, reliability, and cost efficiency.
  • Lead and grow a small, senior team of engineers working across graphics (WebGL, WebGPU, OpenGL ES), Android/Linux internals, browser engines, network programming, WASM, WebRTC, DevOps, and cloud.
  • Recruit, hire, and develop a world-class, mission-driven technical team, with a high bar for AI-native working style as a baseline expectation, not a bonus.
  • Champion and operationalize an AI-native engineering culture: integrate agentic and AI tooling into design, code, review, testing, debugging, and ops; define the patterns, guardrails, and quality bars that let the team move at AI-accelerated velocity without losing rigor.
  • Provide handsโ€‘on technical guidance to senior ICs, going deep with the team when problems warrant it.
  • Facilitate collaboration and information sharing across a hybrid team, with a strong bias toward written, asynchronous, AI-leveraged workflows.
  • Promote a culture of firstโ€‘principles problemโ€‘solving where engineers understand every layer of the systems they touch.
  • Own the candidate and employee lifecycle for direct reports: hiring, onboarding, goalโ€‘setting, performance management, and career development.

Must Haves:

  • Prior experience in a senior engineering leadership role (VP of Engineering, Head of Engineering, Director of Engineering, Engineering Manager, Technical Director), or a Principal/Staff IC role with proven architectural ownership of a complex software product.
  • Deep, daily fluency with AI coding agents, LLM tooling, and agentic systems, with a clear point of view on where they help, where they fail, and how to verify their output.
  • Track record of driving teamโ€‘level adoption of AI-native workflows, not just personal use.
  • Experience in a zero-to-one, venture-backed startup environment.
  • A passion for invention and a track record of building innovative emerging technologies with strong R&D foundations.
  • Track record of shipping live products under rapid iterative development.
  • Strong believer in smaller, more senior, highly collaborative teams enabled by aggressive automation and AI leverage.
  • Excellent written and verbal communication, with the ability to operate in a hybrid environment.

Nice to Haves:

  • Handsโ€‘on background or leadership experience in deeply technical, performanceโ€‘critical software: graphics programming (WebGL, WebGPU, OpenGL ES, Vulkan, game/browser engines), lowโ€‘level systems (C/C++, AOSP/Android, Linux internals), WASM, WebRTC, or realโ€‘time streaming.
  • Experience managing and scaling cloudโ€‘based production infrastructure on AWS and/or GCP, alongside familiarity with modern DevOps practices.
  • Background in advanced compression, video encoding, AdTech, or Mobile SDK ecosystems.
  • Technical product management experience.
  • Graduate work and/or a research background in a related area.
  • Group Retirement Savings Plan matching and participation
  • Comprehensive benefits package (health, dental, vision), including Health and Wellness spending account
  • Generous time off policies
  • Access to leading AI tools and platforms
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