Partner Solutions Architect embedding Supabase’s Postgres backend into Anthropic, OpenAI, Vercel, and Lovable ecosystems. Creating technical enablement, integrations, and developer - focused partnership content.
About the role
- Solutions Architect architecting deployable AI/ML systems for Fidus, a high-tech electronic product development firm. Developing client solutions, estimates, proposals, and risk-mitigation plans.
Responsibilities
- 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
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