NA
Responsibilities
- Responsible for the Design & Release work of Automotive Cockpit Domain DSP Audio Controllers, including: requirement definition, cost management, hardware design, etc.
- Develop software release plans to align with vehicle development requirements, and track sample delivery during the R&D phase.
- Define the strategy and plan for functional, performance, and stability testing of DSP and Audio systems.
- Design and execute automotive bench testing to simulate the real cockpit environment and perform end-to-end multimedia link verification.
- Collaborate with peripheral modules such as Speaker, IVI, and Instrument Cluster to troubleshoot and resolve Audio functional issues and systemic issues (e.g., lag, noise), and generate test reports.
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Provide product and technical suggestions for DSP product planning, and assist Audio Product Engineers in analyzing and defining corresponding requirement solutions.
- Bachelor's degree or higher in Computer Science, Electronic Engineering, or a related field, with 5+ years of experience in R&D, testing, or project management for mobile/automotive Audio.
- Familiar with mainstream DSP audio products, including hardware selection and audio architecture. Understand EQ/ANC/ECNR/Loopback solutions/algorithms, etc.
- Possess chip/module level testing experience, able to read and understand schematics, and familiar with common automotive peripherals (e.g., IVI, IPC, Speaker, MIC).
- Proficient in the entire process of bench testing, able to independently set up the test environment, perform data acquisition, log analysis, and report generation.
- Familiar with mainstream DSP Audio / Speaker suppliers in the industry. Experience with relevant product mass production is a plus.
- Experience related to DSP audio algorithm processing technology is a plus.
- Proficient in English reading and writing, applicable to daily work. Fluent spoken English is a plus.
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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