Solutions Architect, AI/ML

🔥 1 hour ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

Where this job comes from

Posted on Fidus Systems's careers page, not through a job board

First seen by Remote Rocketship 1 hour ago

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Logo of Fidus Systems

Fidus Systems

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

• Understand technical project requirements for existing and potential clients • Assess whether client opportunities are a good fit • Develop solution paths after assessing opportunity fit • Prepare estimates for required work • Identify project risks and mitigation strategies • Work directly with clients to understand and develop requirements • Architect solutions that meet client needs • Create delivery plans and estimate work required • Write technical content for proposals • Present Fidus’ resource capabilities and work approach • Discuss, promote, defend, and refine work approaches and estimates • Evaluate and partition solutions and programs into logical segments • Undertake project work as required • Help identify and develop new Fidus products • Help identify new areas of investment and research and development • Collaborate with 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 preferred, with significant experience 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 AI workload hardware and infrastructure, including high-speed interconnect, memory hierarchy, and thermal and power budgets • Ability to assess AI objective 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 production retraining, 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 up to 6 weeks per year, typically within North America • Proven experience presenting to small-to-medium-sized groups • Position is based in the United States • Must be a U.S. person as defined under 22 CFR 120.62 or eligible for an export license • Must complete background checks

🏖️ Benefits

• Comprehensive medical, dental, and vision plans • Matching 401(k) plan contributions • Annual profit-sharing bonus • Other supplementary benefits • Travel opportunities, anticipated to be up to 6 weeks per year, typically within North America • Accommodations available upon request during the selection process

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