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Fellow Software Development Eng.

AMD

Fellow Software Development Eng.

AMD

Shanghai

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Competitive salary and equity package

401(k) matching

Team events and activities

Comprehensive health, dental, and vision insurance

Parental leave

Professional development budget

Equity

Healthcare

Parental Leave

Learning

Required Skills

Python

JavaScript

TypeScript

WHAT YOU DO AT AMD CHANGES EVERYTHING:

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.  Together, we advance your career.THE ROLE:
AMD is seeking a Principal Software Engineering leader with deep expertise and bold vision in AI/ML software systems. This role is for someone passionate about pushing the boundaries of performance across critical applications and industry-defining benchmarks. You will serve as a core technical visionary within an elite team, shaping and optimizing cutting-edge software that fully leverages the latest advancements in hardware and system architecture.

THE PERSON: We are looking for a top-tier GPU software engineering leader with demonstrated mastery of AI/ML software systems and performance-critical development. This role demands deep expertise in C++ and Python in Linux environments, exceptional problem-solving skills, and the ability to operate at the intersection of hardware and software. The ideal candidate sets technical direction, leads by example, and delivers end-to-end solutions that raise the bar for performance, quality, and innovation.

KEY RESPONSIBILITIES:

  • *Model Development and Optimization: Guide the development and optimization of Deep Learning models on AMD GPUs, ensuring high performance and scalability across training and inference workloads.

  • *Framework Enablement: Drive performance-critical enhancements across Py Torch and its ecosystem on AMD GPUs, contributing high-impact optimizations to upstream open-source repositories.

  • *Open-Source Intergration: Engage directly with Py Torch and broader open-source maintainers to define requirements, propose architectural improvements, and ensure AMD contributions are successfully upstreamed, maintained, and adopted at scale.

  • *Community Feature Enablement: Collaborate with Py Torch community and ecosystem partners to design, enable and upstream new features, ensuring AMD GPUs remain first class for emerging AI workloads.

  • *Cross-Functional Collaboration: Partner closely with internal GPU Libraries, compilers, and runtime teams to identify performance bottlenecks and deliver optimized solutions for large-scale AI workloads.

  • *Scalable Systems Optimization: Architect and deliver innovative solutions for both scale-up (multi-GPU) and scale-out (multi-node) distributed training environments, maximizing performance and efficiency on AMD GPU platforms.

  • *Engineering Excellence: Champion and guide rigorous software engineering best practices, including code review, testing, CI/CD integration and debugging, to deliver reliable and maintainable solutions at scale.

PREFERRED EXPERIENCE:

  • *Software Engineering: Expert skills in Python and C++, with experience in debugging, performance tuning, and test design to ensure high-quality, maintainable software solutions.

  • *AI Framework & Deep Learning: Indepth and solid understanding of AI frameworks such as Py Torch, Triton and vLLM, with applied knowledge across domains such as Natural Language Processing, Vision, Audio and Recommendation Systems.

  • *GPU Computing: Expert level experience with GPU Programming models (CUDA, HIP).

  • *Development Processes & Tools: Expert with modern software practices and tooling, including debuggers, profilers, and version control systems (e.g., GitHub).

  • *Collaboration & Problem Solving: Effective and efficient communicator with strong analytical and problem-solving skills, capable of working across diverse technical teams.

ACADEMIC CREDENTIALS:

  • Master’s or PhD level degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.

  • Years of senior level professional Experience in technical software development, with a focus on GPU optimization, performance engineering, and framework development.

Benefits offered are described:  AMD benefits at a glance.

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.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.

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About AMD

AMD

AMD

Public

A semiconductor company that designs and develops graphics units, processors, and media solutions

10,001+

Employees

Santa Clara

Headquarters

Reviews

3.5

25 reviews

Work Life Balance

3.2

Compensation

4.1

Culture

3.6

Career

3.4

Management

3.1

65%

Recommend to a Friend

Pros

Good compensation and benefits

Positive work environment

Great management and coworkers

Cons

Poor work life balance

Micromanagement and excessive tracking

Too much pressure and workload

Salary Ranges

6 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$76,430

total / year

Base

$30,572

Stock

$38,215

Bonus

$7,643

$53,501

$99,359

Interview Experience

5 interviews

Difficulty

3.6

/ 5

Duration

14-28 weeks

Offer Rate

60%

Experience

Positive 20%

Neutral 20%

Negative 60%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Technical Interview

5

Hiring Manager Interview

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience

System Design