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Senior Solutions Architect

Job in Laguna Hills, Orange County, California, 92653, USA
Listing for: BrainChip Holdings Ltd
Full Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Senior Solutions Architect

Build AI systems that power real-world applications across vision, audio, and sensors

At Brain Chip, we’re rethinking how intelligence runs at the edge. Our Akida Neuromorphic System-on-Chip is designed to bring fast, efficient, real-time AI into the real world.

We’re looking for a Senior Solutions Architect who can bridge customers, machine learning, and hardware. This is a high-impact role where you’ll work directly with customers and internal teams to turn complex ideas into working solutions.

If you like being close to the product, close to the customer, and solving real problems, you’ll fit right in.

What you’ll do
  • Partner directly with customers to understand their goals and design practical AI solutions
  • Act as the technical point of contact and build strong, trusted relationships
  • Work closely with Sales and Engineering to move from idea to deployment
  • Lead technical conversations and simplify complex concepts for different audiences
  • Support implementation, integration, and troubleshooting in real-world environments
  • Drive projects forward and unblock technical challenges across software and hardware
  • Help shape scalable support models and customer-facing programs

You’ll work across use cases like:

  • Computer vision such as classification and object detection
  • Audio including keyword spotting
  • Sensor fusion and anomaly detection
What you bring
  • Bachelor’s degree in Computer Science, Engineering, or a related field
  • Hands‑on experience with machine learning or deep learning using Python
  • Familiarity with frameworks like Tensor Flow or Py Torch
  • Experience in areas like computer vision or audio ML is a plus
  • Solid understanding of ML concepts including CNNs and deep learning
  • Exposure to hardware or ASIC environments is a plus
  • Comfortable using Git and working in modern development workflows
  • Strong communicator who can break down complex ideas clearly
  • Self‑starter mindset with curiosity and a drive to keep learning
Why this role
  • Work on real AI systems, not just models in a notebook
  • Be part of a small, high-impact team building something meaningful
  • Get direct exposure to customers and real-world applications
  • Help shape how AI runs on next‑generation hardware
Benefits
  • Medical, dental, and vision coverage
  • 401k
  • Disability insurance
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Position Requirements
10+ Years work experience
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