Solutions Architect, AI​/ML

Fidus is a global high-tech design firm headquartered in Ottawa, with additional design centres in Kitchener-Waterloo and San Jose. We specialize in leading-edge electronic product development, with hardware, embedded software, FPGA/ASIC, and signal integrity teams working together to design and deliver next-generation products for clients in emerging technology markets.

We are seeking a Solutions Architect, AI/ML that will have a critical role in understanding technical project requirements, for existing and potential clients, to assess whether the opportunity will be a good fit. Once an opportunity fit is assessed, the Solutions Architect will be responsible for developing a solution path, preparing an estimate for the work, and highlighting the risks and mitigation strategies.

At Fidus, you’ll work on high-speed, high-complexity electronic systems, often using emerging technologies before they reach the broader market. You’ll collaborate across FPGA/DSP, hardware, embedded software, verification, SI/PI, PCB layout, and mechanical/thermal design as part of cross-functional teams delivering real products for our clients.

In practice, that means contributing to projects across Communications, Aerospace & Defence, Life Sciences & Medical Devices, Space & Satellite, Industrial Automation, Automotive, and Semiconductor engagements. You won’t be limited to a single product or industry—your work will follow the technology, not just one roadmap.

• Work directly with potential and existing clients to understand their needs, then develop their requirements;
• Architect a solution that meets the Client’s needs;
• Develop a plan, identify risks and mitigation strategies, and estimate the work required, to deliver a client solution;
• Write the technical content for proposals;
• Understand and present Fidus’ resource skill capabilities and work approach;
• Discuss, promote, defend, and, if necessary, refine, the work approach and estimate;
• Evaluate and understand solutions, to partition programs into logical segments;
• Undertake project work as required;
• Assist in identifying and developing new Fidus products;
• Assist in identifying new areas of investment and research & development.

• Bachelor’s degree in either Electrical Engineering, Computer Engineering, Computer Science, or the equivalent; a graduate degree in machine learning or a related field is an asset;
• Ideally at least seven (7) years of design background in an AI/ML engineering role, with significant time spent deploying models into production rather than training them alone;
• System Level design experience and interest, including identifying architectural approaches and tradeoffs;
• An expert level of knowledge of the modern machine learning toolchain, including PyTorch or Tensor Flow, ONNX, and the quantization, pruning, and compilation steps that turn a trained model into a deployable one;
• Experience deploying inference on embedded and accelerated targets such as FPGA and adaptive SoC, GPU, or dedicated AI accelerators, and reasoning about the latency, throughput, power, and memory bandwidth tradeoffs between them;
• Experience designing with CUDA and/or ROCm;
• Familiarity with the hardware and infrastructure that AI workloads depend on — high-speed interconnect, memory hierarchy, and thermal and power budgets — at the edge, in the data center, or both;
• Ability to assess the feasibility of a client’s AI objective against the data actually available, and to scope the data pipeline, training, and validation effort realistically;
• Some knowledge of FPGA’s, hardware, and embedded software;
• Exposure to MLOps practice, including model versioning, monitoring, and retraining in production, is an asset;
• Ability to…