Lead Manager

Title: Edge AI SDK Lead

Duration: Full Time/Direct Hire

Location: Onsite at 3200 Coronado Drive, Santa Clara, CA 95054

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

1. 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.
2. 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.
3. 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.

Hiring manager notes:

Must Have:

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

Required:

1. 8+ years of experience as an embedded SDK engineer or lead
2. Technical lead on an SDK or API area with multiple engineers (people management preferred, not required)
3. Hands-on embedded Linux development in C/C++ (cross-compilation, BSPs, board bring-up, or device drivers)

Nice to Have:

1. Experience at an SoC chipmaker (Samsung, Qualcomm, Intel, AMD) or an inference SoC startup
2. Bachelor's degree in EECS, Computer Engineering, or equivalent work experience preferred.
3. 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.

Tech stack:

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