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Embedded C​/C++ Engineer; Low Power AI Systems

Job in Markham, Ontario, I3P, Canada
Listing for: Collabera
Full Time position
Listed on 2026-07-23
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Embedded Systems/ Firmware/ IoT, Machine Learning/ ML Engineer, C++ Developer
Salary/Wage Range or Industry Benchmark: 90000 - 120000 CAD Yearly CAD 90000.00 120000.00 YEAR
Job Description & How to Apply Below
Position: Embedded C/C++ Engineer (Low Power AI Systems)

Join a high-impact Low Power AI Solutions team focused on enabling efficient AI deployment on embedded edge devices. This role is deeply hands-on, centered around system-level C/C++ development, runtime optimization, and embedded performance engineering.

You will build and optimize infrastructure that powers ML inference on low-power hardware, directly influencing latency, performance, and power efficiency.

Top 5 Must-Have Skills
  • Experience in performance optimization for embedded or low-power systems
  • Solid understanding of embedded systems design
  • Experience with debugging tools & building internal dev tools
  • Knowledge of memory hierarchy & hardware–software interaction
Key Responsibilities
  • Develop and maintain performance-critical C/C++ code
  • Design and implement runtime components for ML inference
  • Build tools for debugging, profiling, and code optimization
  • Analyze system performance and optimize execution paths
  • Collaborate with cross-functional teams on AI workload efficiency
  • Support deployment of models from frameworks like Tensor Flow, PyTorch, ONNX
Required Skills & Experience
  • 3+ years of hands‑on software engineering experience (post Bachelor's)
  • Strong expertise in C/C++ (must be practical, not academic)
  • Proven experience in embedded systems & low‑level programming
  • Experience with Linux/Android environments
  • Understanding of computer architecture (DSPs / accelerators preferred)
  • Basic understanding of machine learning concepts
Nice to Have
  • Experience with ML frameworks (Tensor Flow, PyTorch, ONNX)
  • Experience with low-level OS (Linux, Android, QNX)
  • Background in AI accelerators / edge ML systems

The Company offers a total rewards package in accordance with all applicable federal, provincial, and local laws and requirements. Benefit eligibility and offerings vary based on role, employment status, and work location.

For contractor positions, benefits are limited to those entitlements and protections required by applicable law, which may include (as applicable) vacation pay, public holidays, leaves of absence, and other legally mandated benefits or payments.

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