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EnCharge AI

Principal Solutions Engineer

Posted Yesterday
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Remote
Hiring Remotely in US
200K-250K Annually
Senior level
Remote
Hiring Remotely in US
200K-250K Annually
Senior level
Leads customer and partner solution development for AI acceleration platforms, including system design, benchmarking, performance tuning, proof-of-concepts, deployment, technical pre-sales, reference applications, partner enablement, and ecosystem collaboration. Influences product roadmaps while integrating AI hardware, software, systems, and customer workloads for edge, datacenter, and embedded applications.
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EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.

About the Role

EnCharge 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.

    EnCharge AI is an equal employment opportunity employer in the United States.


    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.

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