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Director Embedded Ai Jobs in Oregon (NOW HIRING)

Pacvue

VP, AI Strategy & Delivery

OR · On-site +1

Accelerate Pacvue Agent as a core AI experience across the platform, directing the team, helping customers move from insight to action through trusted, explainable, workflow-embedded AI. * Lead ...

Avetta, LLC

Product Manager Analytics & AI

OR · On-site +1

NLQ to Insight, using natural language questions that return direct, data-grounded answers about ... Experience delivering embedded analytics experiences using visualization platforms such as Sisense ...

SentinelOne

Staff AI Platform Engineer

OR · On-site +1

... Director of Enterprise AI Platform Engineering and the rest of the platform team to take the ... Implement MCP/tool wiring for internal and SaaS-embedded agents, ensuring every caller regardless ...

SentinelOne

Senior Staff AI Platform Engineer

OR · On-site +1

$104K - $143K/yr

... Director of Enterprise AI Platform Engineering and the rest of the platform team to take the ... Implement MCP/tool wiring for internal and SaaS-embedded agents, ensuring every caller regardless ...

Azul

Marketing AI Intern

OR · On-site +1

$20 - $25/hr

You will report to the Sr. Director, Marketing Operations. This is a 4-month, full-time, contract role. You'll be embedded with the marketing team from day one, working through a real backlog of AI ...

Cloudera

Manager, Applied AI Strategy and Operations

OR · On-site +1

... a direct emphasis on accelerating Cloudera's Private AI growth. Our Applied AI organization is a ... Act as an embedded, highly trusted thought partner to technical and commercial leaders. Design and ...

Yoodli AI Roleplays

Senior Partner Manager

OR · On-site +1

Yoodli is the AI roleplay simulator redefining how individuals and teams master communication ... Grow direct partner revenue by aligning license orders to partner program demand, identifying ...

Versapay

VP of Strategic Partnerships & Ecosystems

OR · On-site +1

Define and maintain a multi-year partnership strategy and roadmap, including build-vs-buy-vs-partner evaluations for new categories of partner (fintech, embedded finance, AI-enabled platforms, and ...

Upstart

Director, Financial Crimes Compliance

OR · On-site +1

Experience using AI powered solutions to scale and automate BSA program work * Knowledge of digital ... banking, fintech, embedded finance, or marketplace lending business models. * Experience ...

Valtech

Forward Deployed Product Manager

OR · On-site +1

Embedded pods see what's broken next before anyone else does. You bring that signal back, so the ... You understand why most AI pilots never reach production, and you have direct experience navigating ...

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All JobsEmbedded Ai JobsDirector Embedded Ai JobsDirector Embedded Ai Jobs in Oregon

Director Embedded Ai information

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?

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 cities in Oregon are hiring for Director Embedded Ai jobs?

Cities in Oregon with the most Director Embedded Ai job openings:

Director Embedded Ai jobs near you

Technical Program Manager - Embedded Software

EnCharge AI

OR • On-site, Remote

$200K - $250K/yr

Full-time

Posted 2 days ago

New

Job description

EnCharge AI is building a new generation of AI compute systems designed to deliver dramatically

higher energy efficiency for AI inference. Our technology combines innovative compute

architectures with a full-stack software platform spanning silicon, firmware, drivers, compilers,

runtimes, and AI model enablement.

We are looking for a Technical Program Manager - Embedded Software to drive execution

across our embedded software organization and ensure tight alignment between firmware, drivers,

hardware, architecture, compiler, runtime, and system teams.

About the Role

As Embedded SW TPM, you will be the connective tissue between silicon, platforms and systems

teams, driving the embedded and low-level software programs that enable EN100 (and future

accelerators) to run real AI workloads reliably and efficiently. You'll own the program plan from

architecture through bring-up, pre-/post- silicon validation, and customer/OEM deployment to

surface risks before they become blockers and keeping a hardware-coupled software org moving

in lockstep with silicon milestones.

What You'll Do

Own end-to-end program management for embedded software workstreams: device

drivers, firmware, boot-loaders and board support packages for EnCharge accelerators.

Build and maintain integrated program schedules that align embedded software milestones

with chip tape-out, silicon bring-up, board bring-up, and customer/OEM delivery dates.

Partner closely with embedded software, ASIC/hardware, platform and validation teams to

define scope, sequence dependencies, and track execution against plan.

Identify, track, and drive resolution of cross-team risks and blockers (e.g., silicon errata

affecting driver behavior, toolchain dependencies, host OS/driver compatibility).

Drive silicon bring-up and platform enablement, including early firmware, boot flows,

device initialization, memory management, command submission, interrupts, power

management, and hardware/software integration.

Run the program's operating cadence: planning, standups, milestone reviews,

retrospectives tuned to what a hardware-coupled software team actually needs, not generic

ceremony.

Drive execution across geographically distributed engineering teams and external partners

as needed.

Help build the program management function like process, tooling, and reporting.

What We're Looking For

8+ years of technical program or project management experience, with a meaningful

portion spent on embedded software, drivers, firmware, or low-level systems software.

Direct experience coordinating software programs tightly coupled to hardware (silicon

bring-up, board bring-up, or similar), ideally in AI/ML accelerators, semiconductors,

robotics, or a related hardware-software domain. Background in Linux kernel driver development processes, JTAG/lab-based debug

workflows, or hardware validation methodologies.

Experience with FPGA simulation and emulator environments like Zebu, Veloce,

Palladium.

Strong understanding of areas such as:

o Embedded firmware

o Device drivers

o SoC/accelerator architecture

o Memory and DMA

o Interrupts and command queues

o Boot and initialization

o Hardware/software interfaces

o Performance and system-level debugging

Track record of managing complex, multi-team schedules with hard external dependencies

(tape-out dates, partner deliverables, customer commitments) and keeping them honest.

Strong risk management instincts - you find the thing that's going to break the schedule

two months before it does.

Excellent written and verbal communication; able to flex between engineering detail and

executive summary.

Preferred Qualifications

Experience with AI accelerators, GPUs, NPUs, DSPs, or other heterogeneous compute

architectures.

Experience with silicon bring-up and early hardware/software co-development.

Experience with firmware for custom accelerators or SoCs.

Experience working across firmware, driver, compiler, and runtime teams.

Experience with simulation/emulation environments used for pre-silicon software

development.

Experience with Linux kernel, embedded Linux, RTOS, or low-level systems software.

Experience managing external engineering partners or vendors.

EnCharge AI is an equal employment opportunity employer in the United States.

The salary range for this position is $200,000 to $250,000 USD per year. Actual compensation offered will be determined based on job-related knowledge, skills, and experience.

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