Senior Embedded AI Architect

Amaris Consulting

$120K — $150K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Computer Science, Robotics, or a related technical discipline.
  • 5+ years of experience in embedded systems architecture, preferably within industrial equipment, automotive, robotics, or autonomous systems.
  • Hands-on experience with NVIDIA edge computing platforms, including Jetson, Orin NX, IGX, or similar technologies.
  • Strong knowledge of computer vision and AI perception systems, including object detection, segmentation, and edge-based inference pipelines.
  • Experience designing and integrating hardware and software solutions in safety-critical or mission-critical environments.
  • Excellent communication and stakeholder management skills.

Responsibilities

  • Define, document, and maintain embedded AI architectures for NVIDIA Orin NX and Thor IGX platforms.
  • Translate high-level business and commercial requirements into hardware and software architecture blueprints.
  • Evaluate performance, scalability, and cost trade-offs across edge computing platforms.
  • Collaborate closely with product management, safety, integration, and engineering teams.
  • Support feature definition, technology roadmaps, and long-term product evolution strategies.
  • Present architecture recommendations, technical strategies, and solution proposals to senior stakeholders.
Full Job Description
Job description

You will be supporting different projects through your expertise as Senior Embedded AI Architect.

Your main responsibilities:

  • Define, document, and maintain embedded AI architectures for NVIDIA Orin NX and Thor IGX platforms across multiple product lines.
  • Translate high-level business and commercial requirements into hardware and software architecture blueprints.
  • Evaluate performance, scalability, and cost trade-offs across edge computing platforms and deployment scenarios.
  • Collaborate closely with product management, safety, integration, and engineering teams to align architecture decisions with production timelines and business objectives.
  • Support feature definition, technology roadmaps, and long-term product evolution strategies, including autonomy and advanced safety capabilities.
  • Present architecture recommendations, technical strategies, and solution proposals to senior stakeholders and executive leadership.


Qualifications:

  • Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Computer Science, Robotics, or a related technical discipline.
  • 5+ years of experience in embedded systems architecture, preferably within industrial equipment, automotive, robotics, autonomous systems, or related industries.
  • Hands-on experience with NVIDIA edge computing platforms, including Jetson, Orin NX, IGX, or similar technologies.
  • Strong knowledge of computer vision and AI perception systems, including object detection, segmentation, and edge-based inference pipelines.
  • Experience designing and integrating hardware and software solutions in safety-critical or mission-critical environments.
  • Excellent communication and stakeholder management skills with the ability to influence technical and business decisions


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