GPU SOC Design Engineer
๐Bengaluru, India ๐ฎ๐ณ
โฑ๏ธ full-time
๐งโโ๏ธ senior
hybrid
Job Description:
- Develops the logic design, register transfer level (RTL) coding, and simulation for graphics IPs (including graphics, compute, display, and media) required to generate cell libraries, functional units, and the GPU IP block for integration in full chip designs.
- Participates in the definition of architecture and microarchitecture features of the block being designed.
- Applies various strategies, tools, and methods to write RTL and optimize logic to qualify the design to meet power, performance, area, and timing goals as well as design integrity for physical implementation.
- Reviews the verification plan and implementation to ensure design features are verified correctly across verification hierarchies, drives unit level verification, and resolves and implements corrective measures for failing RTL tests to ensure correctness of features.
-
Supports SoC customers to ensure high quality integration of the GPU block.
Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications
- B.Tech/M.Tech +6 Years of relevant industry experience.
- Having achieved multiple tape-outs reaching production with first pass silicon.
- Ability to drive and improve digital design methodology to achieve high quality first silicon.
- Hands on experience with FPGA emulation, silicon bring-up, characterization and debug.
- Have experience working in GPU/CPU domain.
- Able to work with multi-functional teams within Intel and external vendors across geographical boundaries to resolve architectural and implementation challenges with a focus on schedule.
- Strong verbal and written communication skills.
- Good understanding of verilog and system verilog, synthesizable RTL.
- Knowledgeable in modern design techniques and energy-efficient/low power logic design and power analysis.
-
Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
Experienced Hire
Shift
Shift 1 (India)
Primary Location:
India, Bangalore
Additional Locations:
Business Group
The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth.
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
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 โ making integration faster, cheaper, and resilient to supply chain shocks.
Weโre looking for a true legend โ someone with abstract thinking and deep expertise in low-level software development. Youโll 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. Itโs 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 ๐
- Work at the intersection of embedded systems, code generators, compilers, and ML ๐ค
- Unusual challenges requiring out-of-the-box abstract thinking ๐ง
- Competitive compensation: cash + equity ๐ฐ
- Remote work possible ๐
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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โฑ๏ธ full-time
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Experience
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Working model
hybrid
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