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Trackting logo

Firmware Engineer - IoT & Wireless Systems Hot job

Trackting Rome , Italy 🇮🇹 / Hybrid

Develop smart IoT and GPS anti-theft tracking systems for vehicles. Drive core C firmware and Zephyr OS architecture to build ultra-low-power safety products.

C/C++ Zephyr OS GPS GSM MQTT low-power
📍Rome , Italy 🇮🇹
📊 Mid
💰 30k-40k
C/C++ Zephyr OS GPS GSM MQTT low-power

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Popular Categories for Gpu Engineer Jobs In Toronto

We search far and wide to bring you the top Gpu Engineer Jobs In Toronto making it easier than ever to kickstart or grow your career!

We search 100+ job boards and career websites to find the best opportunities for you, making your job search faster and easier. Every listing is carefully curated to save you time and help you focus on your next career milestone. Whether you're starting your journey or ready to take the next big leap, we've got opportunities designed for every stage of your Gpu Engineer career.

Here are the most popular categories that might help you:


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Gpu Engineer Job Market Insights in Toronto

Curious about how the Gpu Engineer job market is performing in Toronto?
Let's explore the current state of the job market in Toronto and the career opportunities available in this location.

Tech Market in Toronto

Tech market in Toronto

Toronto is a leading center for embedded systems in Canada, with a tech market that spans automotive, fintech, telecom, and medical devices. The city’s innovation is driven by top universities, research centers, and a thriving startup scene, making it a magnet for engineering talent. Toronto’s embedded engineers work on advanced firmware, hardware, and IoT solutions, with strong demand in smart mobility, connected devices, and industrial automation.

Opportunities abound for professionals skilled in embedded software, PCB design, and system integration. Toronto’s strengths in healthcare technology and smart infrastructure make it a prime destination for embedded engineers looking to work on impactful projects in a dynamic urban environment.

Career Overview & Industry Demands

GPU Engineers working in embedded contexts design graphics and compute accelerators used in automotive infotainment, edge AI inference, and visualization systems.

The market is expanding because embedded GPUs now power advanced HMI, ADAS perception stacks, and on-device AI. Employers seek expertise in parallel compute frameworks (CUDA, OpenCL), shader programming, and performance tuning for power-constrained platforms. Knowledge of graphics pipelines, memory hierarchies, and thermal/power management is important.

Positions are available at silicon vendors, automotive tier suppliers, and companies building AI inference stacks for edge devices. A portfolio showing performance optimizations, driver-level integrations, or contributions to graphics middleware will help candidates stand out. Expect collaboration with firmware, kernel, and software teams to bring GPU-powered features to production.

To succeed in Toronto's unique job market, engineers need to understand the local dynamics and requirements. We've compiled comprehensive statistics about the job market in Toronto - from key industries to in-demand roles and working arrangements - to help you make well-informed career decisions.

Top Industries in Toronto

Semiconductor 40%
Aerospace 27%
Defense 20%
Automotive 13%

Work Location in Toronto

0%
Remote
33%
Hybrid
67%
On-site
0%
🏠 Remote
33%
🔄 Hybrid
67%
🏢 On-site

  • In terms of industry sectors and market distribution, Semiconductor dominates the job market in Toronto with 40% of available opportunities, closely followed by Aerospace representing 27% of positions, while the growing Defense sector accounts for 20% of the market, and the Automotive industry comprises 13% of current positions.
  • The most requested technical skills for Gpu Engineer jobs include C++ , Python , C , Rtl , Fpga , which are consistently valued across all regions and sectors. Proficiency in these core technologies is essential for career advancement and typically commands higher compensation packages.
  • Regarding work arrangements in Toronto , our data shows that 67% of positions require On-site presence, 33% offer flexible Hybrid arrangements combining office and remote work, while 0% provide fully Remote work options.

Gpu Engineer Salary in Toronto

Looking for reliable Gpu Engineer salary insights?

While specific salary data for Gpu Engineer Jobs In Toronto is limited, our database analysis highlights average pay ranges and growth trends within the broader Gpu Engineer field. We've analyzed 86+ verified Gpu Engineer job listings to create this comprehensive salary overview, covering pay ranges across experience levels, regions, and industries.

Gpu Engineer Salaries by Region

Loading salary data...
(*) Based on analysis of 86 jobs in North America,

Our latest Gpu Engineer salary data shows significant regional variations. Here's what we found:

  • North America: Highest paying region with average Gpu Engineer salaries of $157,826

Gpu Engineer Salary Progression by Experience Level

Loading experience data...

Our comprehensive data analysis of Gpu Engineer salaries shows clear progression based on experience level and significant regional variations. Here's what we found across thousands of job postings:

North America 🇺🇸

  • Internship: $109,294
  • Entry Level: $125,080
  • Mid Level: $140,866
  • Senior: $166,691
  • Lead/Principal: $248,766

Frequently Asked Questions

Do you want to start a career in Gpu Engineer or looking to advance your current role?
Here are some of the most common questions we get asked about Gpu Engineer Jobs and Careers:

As a GPU Engineer, your responsibilities include designing and optimizing graphics processing units (GPUs), improving rendering performance for graphics-intensive applications, and collaborating with software teams to ensure compatibility with drivers and APIs.

Key skills include expertise in parallel computing, knowledge of GPU architectures, proficiency in programming languages like CUDA or OpenCL, and experience with tools like Verilog or VHDL for hardware design.

GPU Engineers are in demand in industries such as gaming, artificial intelligence, high-performance computing, and automotive systems for autonomous driving.

Employers value problem-solving skills, deep knowledge of rendering pipelines, experience with API standards like Vulkan or DirectX, and the ability to optimize GPU performance for specific applications.

To advance, specialize in areas like ray tracing, AI acceleration, or GPU virtualization. Contribute to open-source GPU projects and gain experience with cutting-edge GPU hardware platforms.

Gpu Engineer by Industry

Discover Gpu Engineer Jobs In Toronto across different industries. Whether your expertise is in Automotive, Semiconductor, Industrial Automation, or Space, our industry-based search makes it easy to find the right role for your skills.

Gpu Engineer Jobs by City

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