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Director Embedded Ai Jobs (NOW HIRING)

Inspiren

Director of Embedded Systems Engineering

AI-First Engineering Evangelism: Act as the lead expert and educator on the integration of AI tools within the firmware lifecycle. You will identify and implement AI-driven automation for code ...

Majesco

Director, Services

As leaders in intelligent SaaS solutions, we've embedded AI and Agentic AI throughout our robust ... Director, Services - Driving Transformation in Insurance Technology Location: Remote Unites States ...

H. Lee Moffitt Cancer Center

MGR AI GOVERNANCE

Tampa, FL · On-site

$52.72 - $65.93/hr

... embedded AI, and homegrown/research-to-production. The Manager leads a team of analysts, serves as ... Direct the continuous monitoring program: define drift, performance degradation, and bias detection ...

Advanced Micro Devices, Inc

Embedded SoC Architect

Austin, TX · Hybrid

$171.50K/yr

... being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: The AMD Adaptive Embedded ...

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How much do director embedded ai jobs pay per year?

As of May 31, 2026, the average yearly pay for director embedded ai in the United States is $153,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Director of Embedded AI, and why are they important?

To thrive as a Director of Embedded AI, you need deep expertise in embedded systems, AI/machine learning algorithms, and a relevant advanced degree such as a master's or PhD in computer science or engineering. Familiarity with tools like TensorFlow Lite, PyTorch, edge AI platforms, and experience managing cross-functional development teams are crucial, along with certifications in AI or embedded systems being advantageous. Leadership, strategic vision, and excellent communication skills are essential for guiding teams and aligning projects with organizational goals. These capabilities ensure the successful integration of AI solutions into embedded products, driving innovation and competitive advantage.

How does a Director of Embedded AI typically collaborate with cross-functional teams to drive project success?

A Director of Embedded AI regularly works alongside hardware engineers, software developers, product managers, and data scientists to ensure AI solutions are seamlessly integrated into embedded systems. Collaboration involves aligning AI capabilities with hardware constraints, overseeing the development pipeline, and facilitating communication between teams to address technical challenges. This role often leads strategic planning sessions, reviews project milestones, and ensures all stakeholders are informed about progress and requirements. Effective collaboration is crucial for delivering innovative products on time and within budget.

What does a Director of Embedded AI do?

A Director of Embedded AI oversees the development and integration of artificial intelligence technologies into hardware devices and embedded systems. They lead teams of engineers and data scientists to create smart, efficient, and secure AI solutions for products such as IoT devices, automotive systems, medical devices, and more. This role involves setting strategic direction, managing projects, ensuring compliance with industry standards, and collaborating with other departments to bring AI-driven features to market. Directors of Embedded AI also stay up-to-date with advancements in AI and embedded systems to maintain a competitive edge.
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Director Embedded Ai jobs near you
Infographic showing various Director Embedded Ai job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $153,383 per year, or $73.7 per hour.
Principal Embedded Software Architect - Edge AI MCU

Principal Embedded Software Architect - Edge AI MCU

Ambiq Micro, Inc.

Austin, TX • On-site

$171.50K/yr

Full-time

Posted 28 days ago

Job description

Company Overview
Ambiq is on a mission to enable intelligence everywhere - powering the AI edge revolution with the world's lowest-power semiconductor solutions.
Built on our proprietary sub- and near-threshold technology, our chips deliver multi-fold improvements in energy efficiency without costly process scaling. Since 2010, we've shipped over 290 million units to customers building smarter wearables, medical devices, IoT products, and AI-powered edge applications.
Our cross-functional teams span design, research, development, production, marketing, sales, and operations across Austin, Hsinchu, Shanghai, Shenzhen, and Singapore. We move fast, tackle hard problems, and create space for people to grow through complex, meaningful work that shapes the future of technology.
We're looking for self-motivated, creative problem-solvers who are eager to push technological limits and make a real impact in energy efficiency.
At Ambiq, we live by five values: Innovate. Collaborate. Focus. Learn. Achieve.
If that's you, join us - the intelligence everywhere revolution starts here.
Austin, TX - Onsite (5 days/week)
U.S. Work Authorization Required (No Sponsorship Available)
Architect the Software Foundation for Ultra-Low-Power Edge AI Silicon
Ambiq designs and ships ultra-low-power Edge AI MCUs that enable real-time intelligence directly on device.
We are expanding our Austin engineering organization and hiring a Principal Embedded Software Architect to define the software architecture and requirements for our next-generation Edge AI MCU platforms.
This role sits at the hardware/software boundary - partnering directly with SoC architects, product teams, IP vendors, and embedded software leaders to shape how our silicon is exposed, controlled, optimized, and validated.
You won't just write code.
You will define how the system behaves.
What You'll Own
As Principal Architect, you will:
  • Define the software architecture for next-generation low-power Edge AI MCUs
  • Drive early-stage functional allocation between hardware and software
  • Develop and refine Software Requirements Specifications (SRS) tied to real customer use cases
  • Lead architectural decisions across:
    • Multi-processor communication
    • Control/data plane separation
    • Data movement acceleration
    • Memory management and protection
    • Dynamic resource allocation
    • Power optimization strategies
    • Debug and visibility tooling
  • Partner with SoC architects to influence hardware/software trade-offs
  • Support software prototyping to validate architectural decisions
  • Act as architectural SME through implementation, validation, and bring-up phases
  • Review designs, test plans, and implementation details to ensure alignment with architectural intent
  • Mentor engineers and define best practices across embedded teams

This is a high-impact architectural role influencing multiple MCU generations.
Technical Environment
You will work deeply across:
  • ARM Cortex-M architectures
  • Bare metal and RTOS-based systems
  • Asymmetric multi-core systems
  • Inter-processor communication (OpenAMP, RPMsg, etc.)
  • Data movement engines and acceleration blocks
  • MMU/MPU, caches, shared memory, dual-port memory
  • Power management (DVFS, clock gating, low-power states)
  • FPGA-based emulation platforms and full reference systems

You will be embedded within engineering teams while influencing cross-functional decisions across silicon and software domains.
What We're Looking For
Required Experience
  • BS or MS in EE, CE, or CS
  • 12+ years developing embedded software for real-time systems
  • Deep experience on ARM Cortex-M platforms
  • Strong C/C++ (assembly experience preferred)
  • Experience defining and writing Software Requirements Specifications (SRS)
  • Strong understanding of:
    • Functional allocation
    • Requirements traceability
    • Testability across pre-silicon and post-silicon platforms
  • Experience with asymmetric multicore architectures
  • Strong knowledge of memory systems, data movement, and processor interaction
  • Ability to independently drive architectural decisions
Preferred Experience
  • Power optimization strategies in embedded systems
  • TrustZone for M-class microcontrollers
  • Trusted firmware environments
  • Graphics, display, or audio/video processing
  • Experience working with IP vendors and external silicon partners
Why This Role Is Different
  • Direct architectural influence on Edge AI MCU platforms
  • Close collaboration with silicon architects and IP vendors
  • Ownership across early-stage definition through validation
  • Opportunity to shape hardware/software trade-offs that impact power, performance, and scalability
  • Austin-based collaboration culture with tight hardware/software integration

This is a principal-level role for engineers who want to define system behavior - not just implement features.
Location & Work Authorization
Austin, TX - Onsite 5 days per week
Must be authorized to work in the United States. We do not sponsor or transfer visas for this role.

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