Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 43 hours ago

Senior Graphics Machine Learning Engineer

AMD1,259 open roles

Where
Munich, Germany
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSenior Graphics Machine Learning EngineerAMD · Munich, Germany

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on AMD's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

15.1% of postings close within 7 days. Measured by our own scanner across the market. AMD postings stay open a median of 40 days.

Share of postings closed within
  1. 2.4%1 day
  2. 6.5%3 days
  3. 15.1%7 days
This job: posted 43 hours ago

AMD median: 40 days open

The posting

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.

Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.

THE ROLE:

A seasoned Machine Learning Engineer to develop and optimize machine learning models for graphics, rendering, and visual computing applications. The ideal candidate will have deep expertise in machine learning and neural network architectures, combined with a solid understanding of real-time graphics technologies and GPU-accelerated workloads. This role involves close collaboration with research and engineering teams to deliver innovative ML solutions that enhance visual quality, rendering efficiency, and user experiences.

THE PERSON:

The ideal candidate should be passionate about machine learning and its application to graphics and visual computing. They should possess strong problem-solving skills, be able to drive complex technical issues to resolution, and communicate effectively while collaborating across multidisciplinary teams. The Applied Research and Engineering team is looking for the following:

KEY RESPONSIBILITIES:

  • Proficiency in machine learning and neural network architectures.
  • Experience developing, training, and optimizing machine learning models using modern ML frameworks.
  • Strong programming skills in Python and C++.
  • Understanding of machine learning techniques and their application to graphics, rendering, and visual computing problems.
  • Solid understanding of real-time graphics fundamentals, including 3D rendering pipelines, GPU architectures, and ray tracing concepts.
  • Experience optimizing machine learning workloads for GPU platforms.
  • General software development workflow knowledge, including Git, CMake, CI/CD, testing, and debugging.
  • Ability to collaborate effectively with researchers, graphics engineers, and software developers.
  • Proficient in English.

PREFERRED EXPERIENCE:

  • Strong object-oriented programming background.
  • Experience applying machine learning techniques to image enhancement, denoising, super-resolution, frame interpolation, or related visual computing challenges.
  • Understanding of vision transformers and diffusion models.
  • Familiarity with graphics and compute APIs such as Direct3D, Vulkan, CUDA, or OpenCL.
  • Understanding of model optimization techniques, including distillation, quantization, pruning, or compression.
  • Experience with GPU performance optimization.
  • Experience with software development processes and tools such as debuggers, source code control systems (Git), profilers, and continuous integration systems.
  • Ability to write high-quality, maintainable code with strong attention to detail.
  • Effective communication and problem-solving skills.
  • Strong interpersonal and collaboration skills.
  • Experience coding with AI-assisted development tools and agents.

ACADEMIC CREDENTIALS:

  • Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Computer Engineering, or equivalent.
  • Relevant industry experience in machine learning, computer vision, graphics, or visual computing will also be considered.

#LI-CC5

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.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against AMD's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on AMD's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    AMD's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.