Solutions Architect, AI/ML

This is a fully remote position, open to applicants in Canada.

📋 Description

• Engage directly with both potential and current clients to grasp their requirements and develop specifications.

• Design solutions that align with client expectations.

• Create plans, assess risks along with mitigation strategies, and estimate the workload needed to deliver client solutions.

• Generate technical content for proposals.

• Showcase Fidus’ resource capabilities and approach to work.

• Discuss, advocate for, defend, and refine work strategies and estimates.

• Analyze and comprehend solutions while segmenting programs into logical components.

• Undertake project work as necessary.

• Support the identification and development of new products at Fidus.

• Assist in pinpointing new investment and research-and-development opportunities.

• Collaborate with teams across FPGA/DSP, hardware, embedded software, verification, SI/PI, PCB layout, and mechanical/thermal design.

⛳️ Requirements

• A Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.

• A minimum of seven (7) years of design experience in an AI/ML engineering role is preferred, with considerable time spent deploying models in production.

• Experience in system-level design, including the identification of architectural approaches and trade-offs.

• Advanced knowledge of the contemporary machine learning toolchain, including PyTorch or TensorFlow, ONNX, quantization, pruning, and deployment compilation.

• Experience in deploying inference on embedded and accelerated platforms such as FPGA and adaptive SoC, GPU, or dedicated AI accelerators.

• Ability to evaluate latency, throughput, power, and memory bandwidth trade-offs.

• Experience in designing with CUDA and/or ROCm.

• Familiarity with high-speed interconnects, memory hierarchy, and thermal and power budgets.

• Competence in assessing AI feasibility concerning available data, as well as scoping data pipeline, training, and validation efforts.

• Some understanding of FPGAs, hardware, and embedded software.

• Exposure to MLOps, including model versioning, monitoring, and retraining in production, is a plus.

• Capacity to undertake designs subject to ITAR or classified-information restrictions in the U.S., or CGP or classified-information restrictions in Canada.

• Strong communication and writing abilities.

• Exceptional listening, comprehension, and extrapolation skills.

• Professional demeanor combined with a personable approach.

• Willingness to travel, expected to be up to 6 weeks annually, typically within North America.

• Demonstrated experience in presenting to small-to-medium-sized audiences.

• Required to undergo background checks and security screening under Canada’s Controlled Goods Program (CGP); may also require security clearance under the Contract Security Program (CSP).

🏝️ Benefits

• Comprehensive medical, dental, and vision coverage.

• Matching contributions to GRSP.

• Annual profit-sharing bonus.

• Additional supplementary benefits.

• Travel opportunities, generally within North America, up to 6 weeks per year.