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Director Embedded Ai Jobs (NOW HIRING)

NRG

Sr. Director, Embedded Engineering

WA · Remote

$126K - $166K/yr

About the Role Vivint is seeking a Senior Director of Embedded Engineering to lead the teams that ... Strong understanding of AI and computer vision requirements - edge inference constraints, model ...

NRG Energy

Sr. Director, Embedded Engineering

Seattle, WA · On-site

$141K - $185K/yr

About the Role Vivint is seeking a Senior Director of Embedded Engineering to lead the teams that ... Strong understanding of AI and computer vision requirements - edge inference constraints, model ...

Programmers.io

Java Full Stack AI Developer

Sunnyvale, CA · On-site

$61.50 - $79.50/hr

* Drive the adoption of embedded AI, moving beyond simple API calls to integrating local LLMs and ... Direct path solutioning, prioritizing stability and long-term maintainability. * Operate ...

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How much do director embedded ai jobs pay per year?

As of Aug 1, 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 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.

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.
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Director Embedded Ai jobs near you

Technical Director, Embedded Vehicle Software

Wayve

Sunnyvale, CA • On-site

$347K - $457K/yr

Full-time

Re-posted 7 days ago

Job description

The role
Wayve is building the next generation of autonomous driving technology: intelligent, adaptable, and software-defined. As Technical Director, Embedded Software Architecture, you will be the hands-on technical leader who defines and leads the architecture of our vehicle software platform, powering the AI systems that bring autonomy to life.
You will work with the most advanced embedded compute platforms from NVIDIA, Qualcomm, and other leading partners, defining how our operating systems, middleware, and hardware abstraction layers come together to enable scalable, efficient, and safe vehicle software.
This is a deeply technical role where you'll stay close to the code, prototype solutions, review critical components, and directly influence system performance and reliability. You will also shape technical direction across teams and act as a senior representative of Wayve in external technical discussions with OEM and silicon partners.
Key Responsibilities
  • Design and evolve the embedded software architecture for Wayve's next-generation autonomy platform.
  • Develop and guide hands-on prototypes and reference implementations that demonstrate key architectural decisions.
  • Analyze and optimize system performance, reliability, and scalability across the embedded stack.
  • Collaborate cross-functionally with internal AI, platform, and vehicle systems teams, and with external partners including NVIDIA, Qualcomm, and OEMs.
  • Drive the adoption of modern development practices, tools, and standards for high-assurance embedded software.
  • Mentor senior engineers through technical reviews and joint design work - leading through technical depth and influence, not headcount.
  • Represent Wayve as the principal technical voice in discussions with partners and customers on software and hardware architecture.

About you
You are a seasoned systems architect with deep technical roots in embedded software, who still enjoys staying close to the technology. You're comfortable diving into system-level details, whether debugging a performance issue, reviewing C++ code, or defining middleware interfaces, while also maintaining the architectural perspective to guide large-scale systems.
You've successfully delivered complex, high-performance, or safety-critical software systems into production, and you're used to operating at the scale and rigor of Big Tech or high-end automotive programs.
Essential Experience
  • 15+ years in software and systems engineering, with strong expertise in embedded systems for robotics, automotive, or similar domains.
  • Demonstrated hands-on software development experience in C/C++, with familiarity in Python or Rust.
  • Proven ability to deliver large-scale systems to production, with deep involvement in architecture, design, and code.
  • Expertise in system performance analysis, optimization, and debugging.
  • Experience leading through technical influence - shaping teams of 25+ engineers and impacting organizations of 100+ engineers.
  • Ability to represent the company in external technical discussions with OEMs, chip vendors, and partners.
Desirable Experience
  • Automotive or safety-critical software experience.
  • Familiarity with NVIDIA Drive platforms (Orin, DriveOS, DriveWorks).
  • Experience with automotive software frameworks (e.g. AUTOSAR).

This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $347,500 to $457,900, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

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