Lead Manager

QUORE IT : Talent Sourcing & Recruitment; Santa Clara (CA); On-site; USD 200,000 - 300,000; Full time

Benefits offered by this job

Competitive Equity

Benefits

Job summary

QUORE IT : Talent Sourcing & Recruitment seeks an Edge AI SDK Lead with 8+ years of experience to own the customer-facing SDK for client AI SoC. You will lead an experienced embedded engineering team, shipping SDKs on silicon and driving architecture end-to-end for robotics and automation.

You will own the SDK architecture, mentor engineers, and collaborate across runtime, kernel, multimedia, and robotics teams to deliver robust developer tooling and demos.

Qualifications

• 8+ years as an embedded SDK engineer or lead.
• Technical lead on an SDK or API area with multiple engineers (people management preferred, not required).
• Hands-on embedded Linux development in C/C++ (cross-compilation, BSPs, board bring-up, or device drivers).
• Bachelor's degree in EECS, Computer Engineering, or equivalent work experience preferred.

Responsibilities

• Defining and owning the end-to-end SDK and public API architecture that customers install and run on client AI SoC.
• Turning complex low-level capabilities into a clean developer experience, from unboxing the eval kit to running real robotics and AI workloads. These capabilities span the imaging and camera pipelines, the NPU inference engine, DSPs, and CPUs.
• Building embedded C/C++ and Python SDK components, sample applications, and multimedia (camera, video, audio) examples on embedded Linux.
• Hiring, mentoring, and leading a team of SDK engineers, with room to also take on the robotics software team.
• Working closely with the runtime, kernel, multimedia, robotics, tools, and SQA teams to set API standards and release discipline, and to ship SDK releases customers can rely on.

Skills

C/C++

Python

Embedded Linux

Cross-compilation

BSPs

Linux Device Drivers

SDKs

APIs

AI Accelerators/NPU

Robotics

ONNX

PyTorch

TensorFlow Lite

ROS 2

GStreamer

OpenCV

OpenCL

Docker

Education

Bachelor's degree in EECS, Computer Engineering, or equivalent

Tools

Docker

GStreamer

ROS 2

ONNX

PyTorch

TensorFlow Lite

OpenCV

OpenCL

Job description

Comp range: Up to $300K base + Competitive Equity + Benefits

Work Authorization: Open to Visa transfer

Openings: 1

Interview Process: 2 rounds!

Why you should join

• Builds ultra-low-power AI SoCs for edge and Physical AI. Their chip powers robots and autonomous systems by running vision and inference right on the device.
• You'll work with seasoned founders and leaders who've shipped big products at Cisco, Palo Alto Networks, Amazon, and top silicon shops. It's a key early lead hire, and you'll build your own team around you.
• Edge AI SDK Lead role that owns the customer-facing SDK from eval kit unboxing to real robotics workloads. $200k–$300k base, full-time and on-site in Santa Clara.

Must Have:

• Has shipped an SDK for an SoC or embedded silicon that customers install and run on the device (not cloud, web, or backend SDKs)
• SDK works with multimedia (camera, video, audio, or display) on an embedded target

Required:

• 8+ years of experience as an embedded SDK engineer or lead
• Technical lead on an SDK or API area with multiple engineers (people management preferred, not required)
• Hands-on embedded Linux development in C/C++ (cross-compilation, BSPs, board bring-up, or device drivers)

Nice to Have:

• Experience at an SoC chipmaker (Samsung, Qualcomm, Intel, AMD) or an inference SoC startup
• Bachelor's degree in EECS, Computer Engineering, or equivalent work experience preferred.
• AI accelerator, robotics, or camera/ISP SDK work (GStreamer, ROS 2, ONNX/TFLite model flows)

Red Flag:

• Serial big-company hopper (roughly 1-year stints across many large companies)
• SDK/API background only in cloud, web, or backend software (Stripe, Datadog type)

What we're looking for:

We are looking for an Edge AI SDK Lead with 8+ years of experience to own the customer-facing SDK for client AI SoC. We want a senior embedded engineer who has shipped SDKs on real silicon, such as SoCs, AI accelerators, or multimedia and camera platforms, not cloud, web, or backend SDKs. This is a key early hire. You'll set the SDK architecture end to end and then build a team around you to bring Physical AI to robots, drones, and other machines.

What will you be doing?

• Defining and owning the end-to-end SDK and public API architecture that customers install and run on client AI SoC.
• Turning complex low-level capabilities into a clean developer experience, from unboxing the eval kit to running real robotics and AI workloads. These capabilities span the imaging and camera pipelines, the NPU inference engine, DSPs, and CPUs.
• Building embedded C/C++ and Python SDK components, sample applications, and multimedia (camera, video, audio) examples on embedded Linux.
• Hiring, mentoring, and leading a team of SDK engineers, with room to also take on the robotics software team.
• Working closely with the runtime, kernel, multimedia, robotics, tools, and SQA teams to set API standards and release discipline, and to ship SDK releases customers can rely on.

C, C++, Python, Embedded Linux, Cross-compilation/Toolchains, BSPs, Linux Device Drivers, SDKs, APIs, AI Accelerators/NPU, Robotics, ONNX, PyTorch, TensorFlow Lite, ROS 2, GStreamer, OpenCV, OpenCL, Docker