Principal Solutions Engineer

About the Role

EnCharge AI is looking for a highly experienced, hands-on Principal Solutions Engineer to lead customer and partner solution development, architecture, and deployment for our next-generation AI acceleration platform. This is a senior technical leadership role that combines customer-facing engagement, solution architecture, AI software optimization, and technical mentorship.

Responsibilities

• Serve as the primary technical interface and trusted advisor for strategic customers and partners evaluating and deploying AI workloads on EnCharge platforms.
• Lead end-to-end customer engagements from technical discovery through proof-of-concept (PoC), design-in, performance benchmarking, system-level tuning, and production deployment.
• Support technical pre-sales efforts by clearly articulating solution value propositions, architectural differentiators, and competitive performance benchmarks.
• Architect and develop reference applications, demonstrations, solution accelerators, and customer evaluation platforms for diverse verticals (e.g., edge AI, robotics, autonomous systems, enterprise datacenter).
• Help customers integrate complex AI models, perception pipelines, multi-modal systems, AI agents, and software stacks into robust end-to-end solutions.
• Proactively identify and onboard strategic software and hardware partners, mapping value chains to co-develop AI solutions that expand market reach and accelerate time-to-market.
• Collaborate with ODMs on complete system designs and collaborate with ISVs to deliver documentation and reference designs that empower the ecosystem.
• Troubleshoot complex hardware/software integration challenges, optimizing application performance, latency, throughput, and power efficiency to drive winning proof points.
• Partner closely with Product Management and Engineering to communicate requirements, identify product gaps, and directly influence the product roadmap.
• Develop comprehensive technical documentation, application notes, tutorials, training materials, and enablement collateral.

Required Qualifications

• 8+ years of experience in Solutions Engineering, Field Applications Engineering, Technical Marketing Engineering, or related customer-facing technical roles within the semiconductor or AI industry.
• Proven track record of bringing complex hardware and software products to market and driving adoption through end-to-end solution integration.
• Strong software development experience using Python and C++.
• Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, ONNX Runtime, or similar, as well as AI inference optimization and model deployment.
• Strong understanding of AI workloads, optimization, heterogeneous SoC architectures, software stacks, and system integration.
• Experience working with embedded Linux systems, heterogeneous compute platforms, or AI accelerators.
• Outstanding communication and interpersonal skills, with the ability to explain complex technical concepts clearly to diverse technical and executive audiences.
• Self-motivated, execution-oriented mindset with a strong customer-first approach to solving complex technical challenges.

Preferred Qualifications

• Master’s or Ph.D. in Electrical Engineering, Computer Science, or a related field preferred.
• Knowledge of AI agents, agentic workflows, multi-modal AI systems, or LLM-based edge applications.
• Background in computer vision, autonomous navigation, perception systems, or embedded industrial automation.
• Experience delivering technical training or speaking at customer workshops and industry conferences.