or apply directly on EnCharge AI's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 28 days EnCharge AI's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- Yes 26% of EnCharge AI's roles list one
- Ghost-job risk at EnCharge AI
- high 21 stale, 0 reposted of 27 open
- Hiring momentum
- 30 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from EnCharge AI's own greenhouse board since 2026-08-03. Full hiring picture for EnCharge AI.
About this role
The Principal Solutions Engineer at EnCharge AI will lead customer and partner solution development for their AI acceleration platform, engaging in technical discovery, architectural evaluation, and production deployment. This role involves optimizing AI workloads, troubleshooting integration challenges, and influencing product roadmaps while serving as the primary technical interface for strategic customers. The position requires a blend of technical expertise and customer-facing skills to ensure successful implementation of advanced AI solutions.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of EnCharge AI as an employer.
What you need
- 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
- 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
Nice to have
- 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
Worth weighing
- Salary range of $200,000 to $250,000 USD per year is provided, but actual compensation will depend on job-related knowledge, skills, and experience
- The role requires a strong customer-facing component, which may not appeal to all technical candidates
- The position involves working with cutting-edge AI technology, but specifics on the tech stack are not detailed
Summarised from EnCharge AI's posting. Read the full original.
Listed by EnCharge AI on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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