About the RoleEnCharge AI is looking for a highly experienced, hands-on Principal Solutions Engineer to lead customer and partner solution development for our next-generation AI acceleration platform.
This is a senior technical role for an engineer who can bridge the gap between AI hardware, software, systems, and customers. You will own strategic customer programs from initial technical engagement and proof-of-concept through optimization and deployment, working directly with customers and ecosystem partners to turn complex AI workloads into high-performance solutions on EnCharge technology.
Responsibilities- Lead end-to-end solution design, performance benchmarking, and system-level tuning for key verticals on EnCharge platforms.
- Provide hands-on technical engagement with customers and software partners from PoC through deployment, optimizing application performance, latency, and power efficiency to drive winning proof points.
- Support technical pre-sales efforts by clearly articulating solution value propositions, architectural differentiators, and performance benchmarks.
- Develop reference applications, demonstrations, customer evaluation platforms, and enablement collateral (user guides, tutorials, case studies).
- Proactively identify and onboard strategic partners, mapping value chains to co-develop AI solutions that expand market reach and accelerate time-to-market.
- Partner with ODMs on complete system designs and collaborate with ISVs to deliver documentation and reference designs that empower the ecosystem.
- Serve as the voice of the customer, directly influencing the product roadmap, software features, and developer experience.
Qualifications- Master's or Ph.D. in Electrical Engineering, Computer Science, or a related field.
- 8+ years of experience in solutions engineering and partner enablement within the semiconductor or AI industry.
- Proven track record of bringing complex hardware products to market and driving adoption through software and end-to-end solution integration.
- Experience developing AI solutions for edge, datacenter, or embedded applications.
- Ability to work effectively in a fast-paced, cross-functional environment.
- Strong leadership, communication, and interpersonal skills.
- Strong understanding of AI workloads and optimization, SoC architectures, software stacks, and system integration.
- Hands-on experience with AI/ML frameworks, AI inference optimization, and model deployment.
- Experience in system and application software development and AI pipeline frameworks.
- Experience with embedded Linux systems and AI accelerators is preferred.
The salary range for this position is $200,000 to $250,000 USD per year. Actual compensation offered will be determined based on job-related knowledge, skills, and experience.
