Staff Engineer - Embedded Software, Imaging

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Singapore, SGP
In-Office
Senior level
Hardware • Internet of Things • Software • Wearables • Semiconductor
Join the Team Powering the Future of Edge AI
The Role
Lead architecture, development, integration, and validation of imaging subsystem firmware and drivers for ARM Cortex-M SoCs. Port, optimize, and debug camera interfaces (MIPI CSI-2), video codecs, and image pipelines across pre-silicon FPGA and post-silicon platforms. Enable sensor bring-up, calibration, and performance tuning; support verification, field engineers, and customers; and optimize for real-time, memory, and power-constrained embedded systems.
Summary Generated by Built In

Company Overview

Ambiq is on a mission to enable intelligence everywhere — powering the AI edge revolution with the world's lowest-power semiconductor solutions.

Built on our proprietary sub- and near-threshold technology, our chips deliver multi-fold improvements in energy efficiency without costly process scaling. Since 2010, we've shipped over 300 million units to customers building smarter wearables, medical devices, IoT products, and AI-powered edge applications.

Our cross-functional teams span design, research, development, production, marketing, sales, and operations across Austin, Hsinchu, Shanghai, Shenzhen, and Singapore. We move fast, tackle hard problems, and create space for people to grow through complex, meaningful work that shapes the future of technology.

We're looking for self-motivated, creative problem-solvers who are eager to push technological limits and make a real impact in energy efficiency.

At Ambiq, we live by five values: Innovate. Collaborate. Focus. Learn. Achieve.

If that's you, join us — the intelligence everywhere revolution starts here.


Scope 

As a Staff Embedded Software Engineer, Imaging at Ambiq, you will lead the architecture, development, integration, and validation of the imaging subsystem software for Ambiq SoCs. You will be responsible for evaluating, porting, and optimizing firmware and device drivers for image processing, video, and camera interfaces within the AmbiqSuite SDK across silicon and emulation platforms. 

You will also evaluate and integrate customer-facing tools for image sensor bring-up, calibration, and characterization, enabling customers to successfully deploy camera-based solutions on Ambiq devices. 

 Working within Ambiq's global MCU software organization, you will collaborate closely with the SoC architecture, silicon design, and verification engineering teams throughout the product lifecycle—from pre-silicon FPGA validation through post-silicon bring-up, optimization, and customer enablement. 

 The ideal candidate is a seasoned hands-on technical contributor who learns quickly, thrives in a lab environment, enjoys solving challenging hardware/software integration problems, and continuously seeks to improve both products and engineering processes. 

Responsibilities 

  • Lead the design, implementation, and maintenance of the embedded imaging subsystem software for ARM Cortex-M–based platforms. 
  • Evaluate, port, optimize, or develop firmware and device drivers for image processing, video, and camera interface hardware. 
  • Design and implement firmware interfaces for image acquisition, processing, and streaming on resource-constrained embedded systems. 
  • Integrate camera sensors using MIPI CSI-2 interfaces and support end-to-end camera bring-up, validation, and performance optimization. 
  • Enable image sensor integration by evaluating and supporting calibration, characterization, and image quality tuning tools. 
  • Lead imaging subsystem software activities during pre-silicon FPGA verification and post-silicon bring-up, validation, debugging, and performance tuning. 
  • Optimize imaging and video processing pipelines for real-time performance, memory utilization, and power efficiency. 
  • Support design verification, field applications engineers, and strategic customers during product development and deployment. 
  • Provide technical subject-matter expertise on imaging subsystem software architecture and implementation. 

Qualifications 

  • M.S. in Electrical Engineering, Computer Engineering, Computer Science, or a related field with 6+ years of embedded software experience, or B.S. with 8+ years of experience. 
  • At least 3 years of experience developing embedded imaging, camera, video, or related multimedia software. 
  • Strong experience developing low-level firmware, HAL, and device drivers for ARM-based embedded systems. 
  • Strong understanding of camera imaging pipelines, including MIPI CSI-2 and I3C/I2C control interfaces to embedded ISPs, as well as raw Bayer and common pixel formats (e.g., YUV420 and RGB).  This must include an understanding of 3A processing and frame-timing control for camera sensors. 
  • Experience with embedded video pipelines including video streaming and hardware-accelerated image/video codecs such as JPEG, H.264, and H.265. 
  • Experience developing software using FreeRTOS, Zephyr RTOS, or similar real-time operating systems. 
  • Familiarity with image sensor calibration, characterization, and image quality tuning workflows. 
  • Expert proficiency in C with strong embedded software architecture and design skills. 
  • Hands-on experience debugging embedded systems using JTAG/SWD debuggers, oscilloscopes, logic analyzers, and related laboratory equipment. 
  • Experience with embedded development environments such as Keil MDK, IAR Embedded Workbench, Eclipse-based IDEs, SEGGER Ozone, or similar tools. 
  • Proficiency with Git, Jira, and modern software development practices. 

Skills Required

  • M.S. in EE/CE/CS with 6+ years embedded software experience, or B.S. with 8+ years
  • 3+ years developing embedded imaging, camera, video, or multimedia software
  • Expert proficiency in C and strong embedded software architecture skills
  • Low-level firmware, HAL, and device driver development for ARM-based embedded systems
  • Experience with ARM Cortex-M platforms
  • Integration of camera sensors using MIPI CSI-2 and sensor control via I3C/I2C
  • Understanding of raw Bayer and common pixel formats (YUV420, RGB) and 3A/frame-timing control
  • Experience with embedded video pipelines and hardware-accelerated codecs (JPEG, H.264, H.265)
  • Experience with FreeRTOS, Zephyr, or similar RTOS
  • Familiarity with image sensor calibration, characterization, and image quality tuning workflows
  • Hands-on debugging with JTAG/SWD, oscilloscopes, logic analyzers, and lab equipment
  • Experience with pre-silicon FPGA verification and post-silicon bring-up and validation
  • Experience with embedded development environments (Keil MDK, IAR, Eclipse-based IDEs, SEGGER Ozone)
  • Proficiency with Git, Jira, and modern software development practices

Ambiq Compensation & Benefits Highlights

  • Healthcare Strength Medical, dental, and vision coverage are part of the core package, and the health insurance is portrayed positively across the provided information. This indicates dependable core healthcare support.
  • Leave & Time Off Breadth Paid time off and an expanded holiday schedule, including a year‑end closure, are highlighted. References to PTO accrual and carryover reinforce strong time‑off design.
  • Parental & Family Support Parental leave and family medical leave are explicitly included. This signals structured support for caregiving needs.

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The Company
HQ: Austin, Texas
220 Employees
Year Founded: 2010

What We Do

Ambiq® enables intelligence (AI and beyond) everywhere by delivering the lowest-power semiconductor solutions for battery-powered edge devices. As a pioneer in ultra-low power SoCs, Ambiq empowers wearables, IoT, smart home, healthcare, and industrial products with always-on, energy-efficient intelligence. Backed by our SPOT® technology and global innovation leadership, Ambiq is shaping the future of edge AI.

Why Work With Us

Direct influence on silicon architecture Smaller, high-impact teams Hardware/software co-design in real time Faster technical decision cycles Visible ownership at Staff & Director level Austin-based collaboration culture

Ambiq Offices

OnSite Workspace

Building silicon and embedded AI systems requires tight collaboration across firmware, hardware, validation, and architecture teams. We believe the hardest engineering problems are solved through direct, daily collaboration.

Typical time on-site:
HQAustin, Texas
Taiwan
China
Singapore
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