Minimum qualifications:
- Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, a related technical field, or equivalent practical experience.
- 5 years of coding experience in the C++ language.
- 3 years of experience in image processing.
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2 years of experience in camera tuning.
- Master’s degree or PhD in Engineering, Computer Science, or a related field.
- 5 years of experience in embedded systems or firmware development, with a significant focus on camera and imaging systems.
- Experience with 3A algorithms and core camera calibration concepts (e.g., lens shading, defect correction).
- Experience working with camera subsystems and familiarity with System-on-Chip (SoC) architectures.
- Understanding of image signal processing (ISP) pipeline, including key blocks like noise reduction, color correction, and tone mapping.
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Ability to debug complex, system-level issues that span hardware, firmware, and software.
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.
Responsibilities
- Own the objective and subjective image quality tuning for all ISP blocks (including noise reduction, detail/texture enhancement, tone mapping, and color rendering) to meet and quality goals across all use cases.
- Lead the technical analysis, debugging, and root cause investigation for all image quality and camera stability escalations originating from mass production builds and in-market devices.
- Collaborate with system architects to define and develop testing strategies, optimization methods, and tuning pipelines for emerging, low-power, microcontroller (MCU)-based ISP systems.
- Work closely with cross-functional teams, using data and insights from tuning and End-to-End (E2E) testing to drive future product improvements and optimize hardware-friendly software solutions.
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Develop and refine automated testing scripts and specific tuning methods required for novel ISP pipelines and new sensor technologies to ensure consistent quality standards.
Senior Embedded Software Engineer
@ Embedd 
What we're looking for
At embedd.it, we power hardware-software integration in embedded devices. We turn fragmented semiconductor chip data into configurable digital twins, then deterministically generate code, tests, and documentation – making integration faster, cheaper, and resilient to supply chain shocks.
We’re looking for a true legend – someone with abstract thinking and deep expertise in low-level software development. You’ll build vendor-agnostic tooling for MCU and peripheral integration to solve hardware-software integration once and for all. We work at the intersection of embedded systems, code generation, compilers, and machine learning. It’s your chance to help redefine how low-level development is done.
Responsibilities
- Drive the architecture of the driver structures and system layout
- Define scalable patterns for cross-architectural integration across bare-metal, Zephyr, Linux, and other environments
- Deconstruct complex SoC device trees and translate hardware descriptions into structured internal models for automated reasoning
- Partner with the ML team to shape data and annotation models for AI-driven data-extraction tooling
Qualifications
- 5+ years of experience in embedded systems development, including bare-metal and RTOS-based systems
- Proficiency in C/C++
- Familiarity with firmware configuration, SoC bring-up, and system-level debugging
- Hands-on experience with code generation tools, or low-level compiler/decompiler/emulator technologies
- Strong background in embedded toolchains: compilers, linkers, debuggers, and build systems
- Python or scripting for automation and tooling is a plus
- Experience with functional-safety standards is a plus
Why embedd.it?
- Dynamic, venture-backed team of engineers challenging the status quo 🚀
- Work at the intersection of embedded systems, code generators, compilers, and ML 🤖
- Unusual challenges requiring out-of-the-box abstract thinking 🧠
- Competitive compensation: cash + equity 💰
- Remote work possible 🌍
About Us
embedd.it is a UK-based startup reinventing embedded development. Our platform transforms unstructured semiconductor data into structured digital twins, enabling automatic generation of drivers, tests, and documentation. We're building a single, traceable source of truth to make integration fast, vendor-agnostic, and future-proof.
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