[Hiring] Solutions Architect, AI/ML @Fidus Systems

Role Description

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.

Make an Impact with US:

• Work on high-speed, high-complexity electronic systems, often using emerging technologies before they reach the broader market.
• Collaborate across FPGA/DSP, hardware, embedded software, verification, SI/PI, PCB layout, and mechanical/thermal design.
• Contribute to projects across various industries including Communications, Aerospace & Defence, Life Sciences & Medical Devices, Space & Satellite, Industrial Automation, Automotive, and Semiconductor engagements.

What You’ll Be Doing:

• 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.

Qualifications

• 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 TensorFlow, 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 undertake designs with ITAR restrictions or Classified information in the United States, or with Controlled Goods Program (CGP) restrictions or Classified information in Canada.
• Concise communication and writing skills.
• Excellent listening, understanding, and extrapolation skills.
• Professional and personable.
• Enjoys travel, which is anticipated to be up to 6 weeks per year, typically within North America.
• Proven experience with giving presentations to small-to-medium sized groups.

Requirements

• Location and travel: Position is based in Canada. Travel will be required typically within North America for up to 6 weeks per year.
• This position may require access to export-controlled information. Candidates will be required to complete background checks and security screening under Canada's Controlled Goods Program (CGP) and may also be required to obtain a security clearance under the Contract Security Program (CSP) administered by Public Services and Procurement Canada (PSPC, formerly PWGSC).

Benefits

• Competitive compensation package.
• Comprehensive benefits package, including medical, dental, and vision plans.
• Matching GRSP contributions.
• Annual profit-sharing bonus.
• Other supplementary benefits.