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GPU Software Development Engineer

AMD

GPU Software Development Engineer

AMD

Warsaw

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

401(k) matching

Team events and activities

Parental leave

Competitive salary and equity package

Parental Leave

Equity

Required Skills

JavaScript

PostgreSQL

Python

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.GPU Software Development EngineerTHE ROLE: AMD is looking for a strategic software engineering lead who is passionate about improving the performance of key applications and benchmarks. You will be a member of the Advanced Rendering Research team and will work with the very latest hardware and software technology.

THE PERSON: The ideal candidate should be passionate about software engineering and possess leadership skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with different teams across AMD.

KEY RESPONSIBILITIES:

  • Develop and optimize GPU shaders using languages such as GLSL, HLSL, or Metal.
  • Design, implement, and optimize high-performance GPU kernels for machine learning operators.
  • Collaborate with graphics engineers to enhance the graphics and rendering pipeline, ensuring high performance and visual quality.
  • Work closely with ML researchers and engineers to translate neural network models and algorithms into efficient GPU code.
  • Integrate new technologies and features into existing and new hardware platforms.
  • Work with different teams such as research, hardware, driver, compiler, etc.
  • Analyze and troubleshoot performance issues, providing solutions to improve rendering speed and ML workload efficiency on GPUs.
  • Stay current with the latest advancements in GPU hardware, rendering techniques, and graphics APIs, and GPU-accelerated machine learning.
  • Contribute to the design and development of graphical tools, hardware for research and game integration
  • Document and share knowledge on best practices for GPU programming (both graphics and compute/ML) within the team.
  • Participate in code reviews and provide constructive feedback to peers.

PREFERRED EXPERIENCE:

  • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
  • Proven experience in GPU programming and graphics development.
  • Demonstrable experience in developing and optimizing GPU kernels for machine learning workloads (e.g., using CUDA, HIP, OpenCL, or compute shaders).
  • Strong understanding of GPU architecture, graphics APIs (DirectX, OpenGL, Vulkan, etc.), and shader programming.
  • Solid understanding of common neural network operators, their mathematical foundations, and computational requirements.
  • Familiarity with the rendering pipeline, including vertex processing, rasterization, and fragment shading.
  • Experience with integrating new technologies into existing systems and hardware.
  • Proficiency in C/C++ and shader languages (GLSL, HLSL, etc.). Experience with GPU compute APIs (CUDA, HIP, OpenCL) is highly desirable.
  • Knowledge of 3D graphics mathematics, algorithms, and data structures.
  • Excellent problem-solving skills and the ability to work in a fast-paced environment.
  • Strong communication skills, both verbal and written.

ACADEMIC CREDENTIALS:

  • Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent
  • Experience with real-time rendering techniques such as ray tracing, PBR (Physically Based Rendering), etc.
  • Familiarity with machine learning techniques applied to graphics and rendering.
  • Familiarity with hardware especially AMD

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