Pune, Maharashtra, India
Information Technology
Other
Advanced Micro Devices
Overview
SMTS Software Engineer – Machine Learning NPU Simulation Modeling
- Hyderabad, India
- Engineering
- 64752
Job Description
WHAT YOU DO AT AMD CHANGES EVERYTHING
We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.
AMD together we advance_
SMTS SOFTWARE DEVELOPMENT ENGINEER
THE ROLE:
AMD is looking for a talented, self-driven and motivated engineer to technically lead AIG’s Simulation Modeling projects working on AMD’s XDNA (AI Engine) architecture and the Vitis AI family of software tools. The XDNA is an industry leading architecture in terms of performance per watt and is used in AMD’s client and embedded devices as the primary engine for Machine Learning workloads. It is the hardware engine behind Windows Co-pilot on AMD devices.
The team provides a fast-paced environment offering each of its members immense opportunity to interact with a wide variety of people including from other organizations like hardware designers, marketing, support, and even direct customer interaction, and truly learn and grow their skills and capabilities.
THE PERSON:
The ideal candidate should be passionate about software engineering and possess leadership skills to drive sophisticated technical issues to resolution. They should have demonstrated ability to identify technical problems, explore and propose viable options, and apply technical solutions. They should be able to excel in a global team environment with strong verbal and written communication skills.
.
KEY RESPONSIBILITIES:
- Vitis AI is AMD’s primary SDK that enables users to compile and run their ML models on the XDNA architecture. As a senior member of this high-performance team, the selected candidate will have responsibility to model the XDNA architecture in terms of functionality, accuracy and simulation speed.
- Candidate will work with compiler, runtime/driver teams to bring up latest AI models like CNNs, Transformers, StableDiffiusion, NLPs etc. on the XDNA simulator. This is a crucial part of AMD’s shift-left strategy for the successful bring up of new devices and day 0 enablement of models.
- Candidates would develop a deeper understanding of the various ML models, and how they are executed, identify performance bottlenecks and enable faster development.
PREFERRED EXPERIENCE:
- Minimum 10 years of relevant work experience.
- Strong background in C++ based development and debug, dealing with multi-threaded infrastructure and performance optimization
- Experience in creating cycle accurate modeling of IPs in C++ or SystemC / TLM.
- Understanding of SoCs, and bringing up of software stack from driver to application on simulation model.
- Understanding hardware metrics like latency/throughput on any sub-system, and what changes impact those metrics.
- Experience in software development environment on both Linux and Windows is required.
- Experience in technologies like Virtual Platforms, SystemC/QEMU models, Emulation platforms, Hw/Sw co-design, and Performance analysis is desired.
- Familiarity with hardware languages like VHDL, Verilog and System Verilog for simulation using tools like Modelsim, VCS, Questa Sim is highly desired.
ACADEMIC CREDENTIALS:
- Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent
#LI-PK1
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
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