EnCharge AI
SemiconductorsDirect Greenhouse career site

Principal Solutions Engineer

Pay
$200,000 – $250,000 per year
Location
Remote (US)
Job type
Full-time
Level
Lead / Staff
Experience
8+ years
Listed
30 days ago

Skills & highlights for this role

  • Python
  • C++
  • PyTorch
  • TensorFlow
  • AI inference optimization

Also useful

  • ONNX Runtime
  • embedded Linux
  • computer vision

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.

This role will partner with strategic customers throughout their development lifecycle-from initial technical discovery, architectural evaluation, and proof-of-concepts through production deployment and scaling. Bridging the gap between AI hardware, software, systems, and customers, helping them successfully build, optimize, and scale cutting-edge AI workloads and agentic workflows on EnCharge technology. Serving as the voice of the customer, directly influencing product roadmaps, software features, and developer experience.

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.

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

Pay and benefits

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.

About EnCharge AI

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.

Read the original posting

From EnCharge AI's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

What is the salary for the Principal Solutions Engineer role at EnCharge AI?

The Principal Solutions Engineer posting at EnCharge AI states compensation of $200,000 – $250,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on EnCharge AI's official career site.

Where is the Principal Solutions Engineer job at EnCharge AI located?

Yes, this Principal Solutions Engineer opening at EnCharge AI is listed as Remote (US). Always check EnCharge AI's application page for specific state eligibility or relocation policies.

What qualifications are required for Principal Solutions Engineer at EnCharge AI?

For the Principal Solutions Engineer role, EnCharge AI highlights 8+ years of relevant experience; experience with Python, C++, PyTorch, TensorFlow, AI inference optimization. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Principal Solutions Engineer position at EnCharge AI?

This listing links directly to EnCharge AI's Greenhouse application page. You can apply directly on EnCharge AI's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.