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Trackting logo

Firmware Engineer (Zephyr OS / Nordic) 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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Opencl Job Market Insights

Curious about the Opencl job market? Here’s a quick overview of key trends, top regions, and industries hiring Opencl professionals.

Career Overview & Industry Demands

OpenCL enables parallel computing on CPUs, GPUs, and accelerators in embedded systems. The job market seeks engineers who can write efficient OpenCL kernels, manage memory transfers, and optimize for performance on constrained devices. Employers value experience with vision, AI, or multimedia applications. Demonstrating OpenCL projects with measurable performance gains is highly attractive.

Opencl Job Market Statistics

Here are the key stats and trends for Opencl job market, including best locations, industries, skills, and common work arrangements.

Top Industries for Opencl Jobs

Automotive 67%
Semiconductor 33%

Work Location for Opencl Jobs

8%
Remote
54%
Hybrid
38%
On-site
8%
🏠 Remote
54%
🔄 Hybrid
38%
🏢 On-site

  • Looking at the global job market for Opencl, we see a diverse ecosystem spread across several major tech hubs. Cluj-Napoca stands out as the primary center with 6 active positions, while Santa Clara maintains a strong presence with 3 openings. The job market in Sunnyvale contributes 1 opportunities, and Vietnam adds another 1 positions to the mix. Additionally, Warsaw shows promising growth with 1 current openings.
  • In terms of industry sectors and market distribution, Automotive dominates with 67% of available opportunities, closely followed by Semiconductor representing 33% of positions,
  • Looking at current job opportunities, Computer Engineer leads the market with 12 open positions, followed by Hardware Engineer with 8 roles. The market also shows high demand for Embedded Systems Engineer (6 positions) and Embedded Software Engineer (6 positions) , indicating diverse opportunities in 's tech industry.
  • Regarding work arrangements , our data shows that 38% of positions require On-site presence, 54% offer flexible Hybrid arrangements combining office and remote work, while 8% provide fully Remote work options.

Opencl Salary Overview

Looking for reliable Opencl salary insights?

We've analyzed 71+ verified Opencl job listings to create this comprehensive salary overview, covering pay ranges across experience levels, regions, and industries.

Opencl Salaries by Region

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(*) Based on analysis of 65 jobs in North America, 6 jobs in Western Europe,

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

  • North America: Highest paying region with average Opencl salaries of $152,641
  • Western Europe: Competitive Opencl salaries averaging $68,540

Opencl Salary Progression by Experience Level

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Our comprehensive data analysis of Opencl 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: $102,304
  • Entry Level: $119,620
  • Mid Level: $136,936
  • Senior: $154,252
  • Lead/Principal: $214,650

Frequently Asked Questions

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

As an OpenCL Developer in embedded systems, your responsibilities include implementing parallel computing solutions, optimizing algorithms for heterogeneous platforms, and developing high-performance applications.

Key skills include OpenCL programming expertise, understanding of parallel computing, knowledge of GPU architectures, and experience with performance optimization.

OpenCL Developers are needed in computer vision applications, embedded AI systems, and high-performance computing platforms.

Employers value strong parallel programming skills, understanding of hardware acceleration, algorithm optimization abilities, and debugging expertise.

To advance, learn about different compute platforms, gain experience with AI acceleration, and develop expertise in performance analysis.

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