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

Open nowPosted 2 hours agoWe saw it 13 min after it went up

Software Design Engineer - GPU Kernel Optimization

AMD1,280 open roles

Where
San Jose, California, United States
Get the CV for this job

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

Your applicationOpen nowSoftware Design Engineer - GPU Kernel OptimizationAMD · San Jose, California, United States

  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.

9.5% of postings close within 7 days. Measured by our own scanner across the market. AMD postings stay open a median of 38 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.9%3 days
  3. 9.5%7 days
  4. 15.5%14 days
  5. 33.9%30 days
This job: posted 2 hours ago

AMD median: 38 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:

As a senior technical member of the team, you will play a key role in designing, developing, and optimizing high-performance GPU kernels for LLM and other ML models. You will analyze performance bottlenecks and develop architecture-aware optimizations to maximize compute efficiency, memory bandwidth utilization, and overall GPU performance. You will also collaborate closely with GPU architecture, compiler, library, and framework teams to develop scalable solutions and advance GPU performance across current and next-generation platforms.

THE PERSON:

The ideal candidate has strong experience in GPU programming, performance analysis and system software development. You will provide technical leadership, guiding teams and driving projects/initiatives independently. You will define goals, scope, and own development efforts while collaborating effectively within a high-performing team.

KEY RESPONSIBILITIES:

  • Architect and Optimize AI Workloads: Lead the optimization of LLMs, quantized models, and emerging AI workloads for AMD GPU architectures.
  • Develop High-Performance GPU Kernels: Design, implement, profile, and optimize GPU kernels, with a strong focus on maximizing hardware utilization and application performance.
  • Drive Performance Analysis: Perform deep performance characterization across compute, memory bandwidth, cache hierarchy, synchronization, kernel scheduling, and execution efficiency to identify and eliminate bottlenecks.
  • Advance Compiler and Code-Generation Technologies: Develop compiler-level optimizations and code-generation techniques using LLVM, MLIR, and related technologies to achieve portable and scalable GPU performance.
  • Innovate with AI-Assisted Development: Build AI-powered coding agents and automation workflows for kernel generation, optimization, benchmarking, and validation.
  • Collaborate with model and infrastructure teams to improve end-to-end AI system performance.

PREFERRED EXPERIENCE:

  • Strong C++ and/or Python skills
  • Solid understanding of GPU compute, memory hierarchy, cache behavior, synchronization, and performance bottlenecks.
  • Strong experience developing and optimizing GPU kernels using HIP, CUDA, C/C++, or similar technologies.
  • Strong analytical/problem-solving skills and pronounced attention to details
  • Must be a self-starter, and able to independently drive tasks to completion

ACADEMIC CREDENTIALS:

  • Bachelors or Masters degree in computer engineering, computer science or a related field

#LI-JG1

This role is not eligible for visa sponsorship.

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.

THE ROLE:

As a senior technical member of the team, you will play a key role in designing, developing, and optimizing high-performance GPU kernels for LLM and other ML models. You will analyze performance bottlenecks and develop architecture-aware optimizations to maximize compute efficiency, memory bandwidth utilization, and overall GPU performance. You will also collaborate closely with GPU architecture, compiler, library, and framework teams to develop scalable solutions and advance GPU performance across current and next-generation platforms.

THE PERSON:

The ideal candidate has strong experience in GPU programming, performance analysis and system software development. You will provide technical leadership, guiding teams and driving projects/initiatives independently. You will define goals, scope, and own development efforts while collaborating effectively within a high-performing team.

KEY RESPONSIBILITIES:

  • Architect and Optimize AI Workloads: Lead the optimization of LLMs, quantized models, and emerging AI workloads for AMD GPU architectures.
  • Develop High-Performance GPU Kernels: Design, implement, profile, and optimize GPU kernels, with a strong focus on maximizing hardware utilization and application performance.
  • Drive Performance Analysis: Perform deep performance characterization across compute, memory bandwidth, cache hierarchy, synchronization, kernel scheduling, and execution efficiency to identify and eliminate bottlenecks.
  • Advance Compiler and Code-Generation Technologies: Develop compiler-level optimizations and code-generation techniques using LLVM, MLIR, and related technologies to achieve portable and scalable GPU performance.
  • Innovate with AI-Assisted Development: Build AI-powered coding agents and automation workflows for kernel generation, optimization, benchmarking, and validation.
  • Collaborate with model and infrastructure teams to improve end-to-end AI system performance.

PREFERRED EXPERIENCE:

  • Strong C++ and/or Python skills
  • Solid understanding of GPU compute, memory hierarchy, cache behavior, synchronization, and performance bottlenecks.
  • Strong experience developing and optimizing GPU kernels using HIP, CUDA, C/C++, or similar technologies.
  • Strong analytical/problem-solving skills and pronounced attention to details
  • Must be a self-starter, and able to independently drive tasks to completion

ACADEMIC CREDENTIALS:

  • Bachelors or Masters degree in computer engineering, computer science or a related field

#LI-JG1

This role is not eligible for visa sponsorship.

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.