Senior ASIC Synthesis Engineer
📌Santa Clara, United States 🇺🇸
⏱︎ full-time
🧙♂️ senior
💰 168000
remote
The Senior ASIC Synthesis Engineer at NVIDIA is responsible for front-end RTL synthesis, gate-level optimization, and timing closure on advanced CMOS technology designs. This role involves collaboration with physical design, DFT, and verification teams to optimize power, area, and timing across multiple design blocks. The position requires expertise in Verilog RTL, EDA synthesis tools, timing analysis, and digital design principles with a focus on low-power and high-performance designs.
Come be a part of new process technology adoption by joining NVIDIA's Advanced Technology Group! Work as part of the advanced technology team to optimize design tradeoffs and methodology on next generation CMOS technology. We are looking for a Senior ASIC Synthesis Engineer to join our dynamic and growing team! If you are problem solver and highly motivated individual searching for a collaborative and exciting role, join us today. We encourage applicants with a history of proven success working in a multicultural and diverse environment.
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked 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 which are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.
What You'll Be Doing
- As a Front-End ASIC Synthesis Engineer, you will own RTL synthesis and gate level optimization tasks
- Collaboration with physical design to address timing, area, congestion tradeoffs
- Drive timing closure and power/area optimization across multiple design blocks
-
Work with DFT and Verification teams to ensure functional and timing correctness
- BS or MS in Electrical Engineering, Computer Engineering, or equivalent experience.
- 8+ years of experience in front-end ASIC synthesis and integration.
- Deep understanding of Verilog RTL design and digital design principles.
- Proven experience with industry-standard EDA tools for synthesis (e.g., Synopsys Design Compiler).
- Hands-on experience with timing analysis, constraint management, and post-synthesis ECO flows.
- Solid background in low-power and high-performance design optimization techniques.
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Familiarity with formal verification tools (e.g., Formality/Conformal LEC) and methodologies.
- Knowledge of DFT/Test logic including JTAG, scan, high speed I/O loopback, and memory BIST.
-
Have proficiency in programming (Python, Perl, Tcl).
The base salary range is 168,000 USD - 310,500 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.
Keywords
ASIC synthesis, RTL design, CMOS technology, digital design, EDA tools, timing closure, power optimization, Verilog, physical design collaboration, DFT, low-power design
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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Employment
⏱︎ full-time
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Experience
🧙♂️ senior
-
Salary
💰 168000
-
Working model
remote
-
Skills
-
Industry
-
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