Solutions Architect, AI/ML

🔥 4 hours ago

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Fidus Systems

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2001

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

Fidus Systems is a company that provides comprehensive electronic and hardware design services to electronics manufacturers. They specialize in FPGA design, ASIC design, verification, and validation, with capabilities in embedded software, hardware, PCB layout, signal and power integrity, and mechanical and thermal design. Fidus Systems is skilled in working with leading technologies like AMD and Intel, transforming concepts into high-reliability products for high-demand industries such as aerospace, telecommunications, medical devices, and consumer electronics. The company is known for helping clients accelerate complex designs through its expert capabilities and flexible engagement models.

📋 Description

• Work directly with potential and existing clients to understand their needs and develop requirements • Architect solutions that meet client needs • Develop plans, identify risks and mitigation strategies, and estimate work required to deliver client solutions • Write technical content for proposals • Present Fidus’ resource capabilities and work approach • Discuss, promote, defend, and refine work approaches and estimates • Evaluate and understand solutions and partition programs into logical segments • Undertake project work as required • Assist in identifying and developing new Fidus products • Assist in identifying new investment and research-and-development areas • Collaborate across FPGA/DSP, hardware, embedded software, verification, SI/PI, PCB layout, and mechanical/thermal design teams

🎯 Requirements

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent • At least seven (7) years of design background in an AI/ML engineering role is ideally required, with significant time deploying models into production • System-level design experience, including identifying architectural approaches and tradeoffs • Expert knowledge of the modern machine learning toolchain, including PyTorch or TensorFlow, ONNX, quantization, pruning, and compilation for deployment • Experience deploying inference on embedded and accelerated targets such as FPGA and adaptive SoC, GPU, or dedicated AI accelerators • Ability to reason about latency, throughput, power, and memory bandwidth tradeoffs • Experience designing with CUDA and/or ROCm • Familiarity with high-speed interconnect, memory hierarchy, and thermal and power budgets • Ability to assess AI feasibility against available data and scope data pipeline, training, and validation efforts • Some knowledge of FPGAs, hardware, and embedded software • Exposure to MLOps, including model versioning, monitoring, and retraining in production, is an asset • Ability to undertake designs subject to ITAR or classified-information restrictions in the United States, or CGP or classified-information restrictions in Canada • Concise communication and writing skills • Excellent listening, understanding, and extrapolation skills • Professional and personable • Enjoys travel, anticipated to be up to 6 weeks per year, typically within North America • Proven experience giving presentations to small-to-medium-sized groups • Must complete background checks and security screening under Canada’s Controlled Goods Program (CGP); may also need security clearance under the Contract Security Program (CSP)

🏖️ Benefits

• Comprehensive medical, dental, and vision plans • Matching GRSP contributions • Annual profit-sharing bonus • Other supplementary benefits • Travel opportunities, typically within North America, up to 6 weeks per year