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 Strong hands-on C/C++ development (system-level / runtime) 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 TensorFlow, 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 (TensorFlow, PyTorch, ONNX) Exposure to quantization, graph optimization, inference pipelines Experience with low-level OS (Linux, Android, QNX) Background in AI accelerators / edge ML systems

Canada Job Posting: 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.

AI Disclosure: We may use AI-enabled and/or automated tools to support parts of our recruitment process, including application screening, interview scheduling, and candidate communications. These tools are used to enhance consistency and efficiency. All hiring decisions involve human review and are not based solely on automated processing. About Us: Collabera is a leading Digital Solutions company providing software engineering solutions to the world’s most tech-forward organizations. With more than 25 years of experience, we have hired over 17000 employees across 60+ offices globally and currently place 10000+ professionals annually to support critical IT engagements at more than 500 client sites, 80% being the Fortune 500. With Collabera, you

• Will get to work on numerous challenging and exciting projects, including UI/UX transformation, Blockchain, AI/Data Science, Cloud migrations, Cyber-Security and Engineering.
• At Collabera you have 80% chances of project extension or redeployment to other clients
• Will have endless opportunities to learn new technologies through our inhouse Training arm – Cognixia.