Lead Embedded SDK Engineer – Edge AI / Silicon

Brahma Consulting Group; Santa Clara (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

Brahma Consulting Group is partnering with a well-funded Silicon Valley AI silicon startup to lead the SDK for embedded systems. You will own the end-to-end SDK from eval kits to robotics workloads, mentoring a growing team and aligning with kernel, hardware, and runtime groups.

The role focuses on C/C++/Python on Embedded Linux, with emphasis on delivering production-grade APIs and samples for edge AI, robotics, and computer vision applications.

Qualifications

• 8+ years of embedded systems experience.
• Shipped customer-facing SDKs or APIs on SoC/AI accelerator hardware.
• Multimedia/vision pipelines on embedded hardware (camera/ISP, video).
• Strong technical leadership and mentorship experience.

Responsibilities

• Define end-to-end SDK architecture and public C/C++/Python APIs for customers.
• Coordinate data flow through the SoC pipeline (NPU, ISP, DSP, CPU).
• Build reference apps and integrations with AI/robotics frameworks.
• Lead and grow the embedded SDK team and collaborate with kernel/hardware teams.

Skills

C

C++

Python

SDK development

Education

Bachelor's in CS/CE/EE

Tools

Camera drivers

GStreamer

FFmpeg

OpenCV

Job description

We are partnering with a well-funded ($300M+ Series B), stealth-growth AI silicon startup in Silicon Valley founded by industry veterans from Cisco, Palo Alto Networks, and top semiconductor powerhouses.

They are pioneering ultra-low-power AI SoCs designed to power the next generation of Physical AI, robotics, drones, and autonomous edge devices. As an early key software leader, you will own the entire customer-facing SDK from eval kit unboxing to production robotics workloads, while building and mentoring a world-class embedded software team.

What You'll Do

• Architect & Own the SDK: Define the end-to-end SDK and public C/C++ and Python API architecture that tier-1 customers will use to deploy models onto proprietary AI SoCs.
• Bridge Low-Level Hardware to High-Level AI: Coordinate data flow through the entire SoC pipeline - integrating NPU inference engines, camera/ISP pipelines, DSPs, and CPUs.
• Optimize Developer Experience: Build clean reference applications, camera/video pipelines, and integration layers for popular AI and robotics frameworks (PyTorch, TFLite, ONNX, ROS 2, OpenCV, GStreamer).
• Lead & Scale the Team: Hire, mentor, and direct a team of embedded SDK engineers, with expanding scope into broader robotics and edge software domains.
• Cross-Functional Execution: Collaborate directly with Kernel Driver, Hardware, System Architecture, and Runtime teams to establish production-grade API standards and release cycles.

Who You Are

• 8+ Years of Embedded Systems Experience: Deep expertise in C, C++, and Python development on Embedded Linux (cross-compilers, BSPs, system-level architecture).
• Shipped Real Silicon SDKs: You have architected and shipped customer-facing SDKs or APIs that run directly on an SoC, AI accelerator, camera, or multimedia silicon target. (Note: Pure cloud, web, or backend SDK experience will not be a fit for this role).
• Multimedia & Vision Pipeline Knowledge: Hands-on experience with camera/ISP drivers, video streaming frameworks (GStreamer, FFmpeg), or computer vision pipelines on embedded hardware.
• Technical Leadership: Proven background leading engineering teams, owning architectural decisions, and mentoring senior talent.

Bonus Points For

• Direct experience at edge AI chipmakers, camera platform companies, or robotics platforms.
• Hands-on work with AI accelerator runtime systems, ONNX Runtime, TensorRT, or ROS 2 frameworks.
• Bachelor's/Master's degree in Computer Engineering, Electrical Engineering, or Computer Science.