Solutions Architect, AI/ML

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

📋 Description

• Comprehend technical project requirements for both existing and prospective clients

• Evaluate whether client opportunities align well with company capabilities

• Create solution strategies after determining opportunity compatibility

• Generate estimates for the work needed

• Identify potential project risks and develop mitigation strategies

• Collaborate directly with clients to gather and refine requirements

• Design solutions that fulfill client specifications

• Develop delivery plans and estimate the work necessary for execution

• Draft technical content for proposals

• Showcase Fidus' resource capabilities and approach to work

• Discuss, advocate for, and refine work methods and estimates

• Analyze and segment solutions and programs into manageable parts

• Engage in project work as needed

• Assist in identifying and developing new products at Fidus

• Contribute to identifying new investment opportunities and areas for research and development

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

⛳️ Requirements

• 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, particularly with substantial experience in deploying models to production

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

• In-depth knowledge of modern machine learning toolchains, including PyTorch or TensorFlow, ONNX, quantization, pruning, and deployment compilation

• Experience with inference deployment on embedded and accelerated platforms such as FPGA, adaptive SoC, GPU, or dedicated AI accelerators

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

• Experience with CUDA and/or ROCm design

• Familiarity with AI workload hardware and infrastructure, covering high-speed interconnects, memory hierarchies, and thermal and power constraints

• Capability to evaluate AI objective feasibility against the available data and outline data pipeline, training, and validation efforts

• Basic understanding of FPGAs, hardware, and embedded software

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

• Ability to undertake designs subject to ITAR or classified information restrictions in the United States, or CGP or classified information restrictions in Canada

• Strong communication and writing abilities

• Excellent listening, comprehension, and extrapolation skills

• Professional demeanor and personable approach

• Willingness to travel up to 6 weeks annually, primarily within North America

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

• Position located in the United States

• Must be classified as a U.S. person under 22 CFR 120.62 or be eligible for an export license

• Completion of background checks is required

🏝️ Benefits

• Extensive medical, dental, and vision coverage

• 401(k) plan with matching contributions

• Annual profit-sharing bonuses

• Additional supplementary benefits

• Travel opportunities, expected to be up to 6 weeks per year, mostly within North America

• Accommodations available upon request during the selection process