ASIC Physical Design Engineer, Annapurna Labs
📌California, United States 🇺🇸
⏱︎ full-time
🧙♂️ entry-level
ASIC Physical Design Engineer, Annapurna Labs
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ASIC Physical Design Engineer, Annapurna Labs
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Lensa . Description Amazon Web Services (AWS) internships are full-time (40 hours/week) for 12 consecutive weeks during summer. By applying to this position, your application will be considered for all locations we hire for in the United States. In Annapurna Labs, we are at the forefront of hardware co-design in AWS and the industry. Our work is cutting-edge and internet-scale, focusing on products like Machine Learning acceleration and FPGA acceleration. We design and build hardware and software components, from creating silicon to managing systems at AWS's scale. If you're interested in building complete products from inception to customer delight, Annapurna is a great choice. As a member of the Cloud-Scale Machine Learning Acceleration team, you'll be responsible for designing and optimizing hardware and software in our data centers, including technologies like AWS Inferentia, a machine learning inference accelerator. If this excites you, join us to build the future! Key job responsibilities Perform physical design for Amazon's machine learning custom silicon solutions. Participate in physical design aspects: floorplanning, circuit analysis, power/clock distribution, timing optimization, place and route, power integrity analysis, and verification. Write Tcl or PERL scripts to improve design flows. Collaborate with RTL and DFT designers for high-quality implementation. Basic Qualifications Bachelor's degree or higher in Electrical or Computer Engineering. Graduation between May 2023 and December 2025. Scripting experience with Python, Perl, or similar. Strong understanding of VLSI circuit design fundamentals. Completed at least one VLSI design and implementation course with lab projects. Preferred Qualifications Master's or PhD in Electrical or Computer Engineering. Relevant internship experience. Experience with FinFET design, clock/power distribution, Spice analysis. Experience with Place and Route, digital implementation. Familiarity with EDA tools (Synopsys, Cadence). Experience with Verilog/SystemVerilog. Amazon is an equal opportunity employer. For accommodations during the application process, visit
this link .
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Nice-to-have skills
- Python
- Perl
- TCL
- Cadence
- Verilog
- SystemVerilog
-
California, United States
- Hardware
-
Electronics Engineering
- English
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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