What You'll Be Doing
- Define, design, develop and verify features for our new SoCs platforms, collaborating with hardware engineers and fellow software engineers.
- Follow the new SOC platforms all the way through the development process to the customer products that are used throughout the world.
- Be heavily involved with the early firmware, performance, power management, and all of system software required to produce our world-class products.
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Have multiple opportunities to collaborate and communicate effectively with teams across the globe.
- BS, MS or PhD degree in Computer Engineering, Computer Science, or related degree, or equivalent experience.
- 5+ years of significant software development experience.
- Strong C programming, C++, low-level driver and SOC system platform experience.
- Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals.
- Kernel experience with Linux, Android, Chrome, or Windows systems.
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Experience with complex SOC system debugging is invaluable.
- Background and strength with complex SOC, AI & GPU computing system architecture design is invaluable.
- Deep understanding of SOC firmware, power management, and performance.
- Platform SW, System SW and Device SW stack understanding on SOC.
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Experience or outstanding delivery with SOC system SW, e.g.: performance tuning and power management.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
JR2000936
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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