Overview
Principal Solutions Engineer to lead customer and partner solution development, including architecture and deployment for an AI acceleration platform.
What you'll do
- Act as the primary technical interface and trusted advisor for strategic customers and partners.
- Lead end-to-end engagements from technical discovery through proof-of-concept and production deployment.
- Support pre-sales by articulating solution value propositions and competitive performance benchmarks.
- Architect and build reference applications, demos, and customer evaluation platforms for multiple verticals.
- Help customers integrate AI models, perception pipelines, multi-modal systems, and AI agents into end-to-end solutions.
- Troubleshoot hardware/software integration and optimize performance, latency, throughput, and power efficiency.
- Develop technical documentation, tutorials, training materials, and enablement collateral.
What you'll need
- 8+ years of experience in solutions/field applications/technical marketing engineering or related customer-facing roles in semiconductor or AI.
- Track record bringing complex hardware/software products to market and driving adoption via end-to-end integration.
- Strong software development experience using Python and C++.
- Hands-on AI/ML framework experience including PyTorch, TensorFlow, and/or ONNX Runtime, plus inference optimization and model deployment.
- Strong understanding of AI workloads, optimization, heterogeneous SoC architectures, software stacks, and system integration.
- Experience with embedded Linux systems, heterogeneous compute platforms, or AI accelerators.
- Excellent communication and interpersonal skills for diverse technical and executive audiences.
Details
- Location: US Remote.
- Salary range: $200,000 to $250,000 USD per year.
Read the full description and apply on the company’s own careers page.