Senior CPU Implementation Methodology Engineer
📌Santa Clara, United States 🇺🇸
⏱︎ full-time
🧙♂️ senior
💰 136000
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to pursue, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today.
What You’ll Be Doing
- You will be responsible for all aspects of front-end design implementation methodologies (synthesis, formal-equivalence-checking), flow automation and application support of industry-leading CPU designs.
- Focus on generating new ideas, proving those, putting together flows/methodologies around those, and incorporating those in NVIDIA’s implementation flow for CPU designs.
- Use NVIDIA implementation flows and EDA tool expertise to improve PPA (power, performance and area) on CPU designs by collaborating with logic designers, physical designers and EDA vendors
-
Provide support for EDA tools and flows
- BS or MS (or equivalent experience)
- 6+ years of CPU design implementation experience
- Deep understanding of logic optimization techniques and relative area, timing, and power trade-offs
- Should be a power user of synthesis and/or place and route EDA tools from Synopsys (DC/FC), Cadence (Genus/Innovus)
- Strong understanding of physical design implementation eg: physical synthesis, placement, routing, logic restructuring, etc.
- Good debugging and problem-solving skills
-
Strong interpersonal skills along with the ability to work in a dynamic team
- Prior CPU experience in physical implementation methodology
-
Proficiency in Perl, Python, Tcl, Make scripting
The base salary range is 136,000 USD - 264,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits . NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
JR1983473
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.
Other similar jobs
Senior CPU Subsystem RTL Design Engineer, Silicon
@ Google, 📍United States 🇺🇸
CPU Performance and Power Analyst/Lead Engineer
@ Qualcomm, 📍United States 🇺🇸
Lead CPU Performance Analysis Engineer
@ Qualcomm, 📍United States 🇺🇸
CPU Performance Modeling Architect
@ Qualcomm, 📍United States 🇺🇸
Lead CPU Performance Projections Engineer
@ Qualcomm, 📍United States 🇺🇸
CPU Physical Design Timing Engineer
@ Qualcomm, 📍United States 🇺🇸
Lead CPU Performance Projections Engineer
@ Qualcomm, 📍United States 🇺🇸
Staff CPU RTL Design Engineer
@ Google, 📍United States 🇺🇸
CPU Physical Design Engineer
@ Qualcomm, 📍United States 🇺🇸
CPU RTL Engineer
@ Google, 📍United States 🇺🇸
-
Employment
⏱︎ full-time
-
Experience
🧙♂️ senior
-
Salary
💰 136000
-
Skills
-
Industry
-
Find similar jobs
Senior CPU Subsystem RTL Design Engineer, Silicon
@ Google, 📍United States 🇺🇸
CPU Performance and Power Analyst/Lead Engineer
@ Qualcomm, 📍United States 🇺🇸
Lead CPU Performance Analysis Engineer
@ Qualcomm, 📍United States 🇺🇸
CPU Performance Modeling Architect
@ Qualcomm, 📍United States 🇺🇸
Lead CPU Performance Projections Engineer
@ Qualcomm, 📍United States 🇺🇸
CPU Physical Design Timing Engineer
@ Qualcomm, 📍United States 🇺🇸
Lead CPU Performance Projections Engineer
@ Qualcomm, 📍United States 🇺🇸
Staff CPU RTL Design Engineer
@ Google, 📍United States 🇺🇸
CPU Physical Design Engineer
@ Qualcomm, 📍United States 🇺🇸
CPU RTL Engineer
@ Google, 📍United States 🇺🇸