← All jobs
EnCharge AI

Principal Solutions Engineer

US Remote
Salary
$200,000 - $250,000 per year
Level
Principal
Work type
Remote · US only

Not stated in the posting: visa.

Open. First seen 2 October 2026.

About the role

EnCharge AI's standard text

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, 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.

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.

What this role asks for

Particular to this role

Computer Vision · Linux · TensorFlow

Rare in EnCharge AI's other 22 open postings.

Standard for solutions / sales engineering roles

Python

Common in solutions / sales engineering postings at any company.

87% of this description is written for the role. The rest is EnCharge AI's standard text, folded away below.

Read against EnCharge AI's other open postings on this site.

The team: Platform

This role is one of 3 open in Platform.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

C++ (3 of 3), Python (3 of 3), C (2 of 3), Embedded Systems (2 of 3), LLM (2 of 3), Machine Learning (2 of 3), Verilog (2 of 3)

OTHER ROLES ON THIS TEAM

From the team and dates on EnCharge AI's own job board.

Similar jobs

Is this your posting and you want it taken down? Email info@careerholo.com.