SOC Methodology Engineer - New College Grad 2026
📌Shanghai, China 🇨🇳
⏱︎ full-time
🧙♂️ entry-level
What You’ll Be Doing
- Gain a deep understanding of NVIDIA's design, verification, and architecture development environments, execution processes, and decision-making methodologies.
- Collaborate with IP design, verification, and architecture engineers to identify existing process bottlenecks and explore infrastructure improvement solutions; clarify requirements and select appropriate methodologies for developing infrastructure processes and tools.
- Participate in the implementation of ASIC/SoC architecture partitioning strategies for multiple NVIDIA chips.
- Responsible for the establishment and management of the hardware development environment (Tree).
- Maintain and develop automated and intelligent infrastructure processes and tools, including GUI-based web systems and other graphical applications, as well as AI-based/automated regression and analysis processes, to provide an efficient development environment for design, verification, and architecture.
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Research leading design and verification tool flows within NVIDIA and the industry, and develop new applications based on these flows to address new challenges facing the team.
- CS/EE/CE/AE
- Proficient in scripting languages such as Python, Perl, and JavaScript.
- Experience in web front-end and back-end development, familiar with major databases.
- Proficient in writing and debugging Makefiles.
- Mastery of dependency decoupling techniques.
-
Fluent in written and spoken English, adept at cross-team communication and building consensus.
- Basic ASIC knowledge.
- Experience in FLOW/Methodology development.
- Background in AI application development.
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Experience in integrated circuit-related CAD projects, such as CDC/RDC checking, static analysis, and simulation regression management.
JR2004447
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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⏱︎ full-time
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Experience
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Industry
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