AMD

Application Software Optimization Engineer, ML/AI

USD 134k - 191k
Python Git Machine Learning C++
Search for More Jobs Talk to a recruiter now 💪
Description
Application Software Optimization Engineer, ML/AI THE TEAM: AMD's Data Center GPU organization is transforming the industry with our AI based Graphic Processors. Our primary objective is to design exceptional products that drive the evolution of computing experiences, serving as the cornerstone for enterprise Data Centers, (AI) Artificial Intelligence, HPC and Embedded systems. If this resonates with you, come and joining our Data Center GPU organization where we are building amazing AI powered products with amazing people. THE ROLE: Would you like to be part of a world class team enabling applications for Artificial Intelligence? AMD is searching for talented and highly motivated computational scientists/engineers to join our team of developers preparing applications for AI platforms across the world. This position is for a senior level application optimization engineer in AI, with a focus on optimizing Machine Learning applications. You will be part of a team porting and tuning a wide variety of scientific applications for AMD CPU and GPU platforms. THE PERSON: An engineer computational scientist, or physicist with experience in multiple scientific computing domains and experience with using Machine Learning techniques in an AI setting. Must be self-motivated and possess the ability to work well within a team environment. KEY RESPONSIBILITIES: Port and optimize a variety of machine learning based models and applications for AMD CPU and GPU systems Provide domain specific knowledge to other groups at AMD Engage with AMD product groups to drive resolution of application and customer issues Develop and present training materials to internal audiences, at customer venues, and at industry conferences PREFERRED EXPERIENCE: Broad experience building, running and tuning machine learning models. In depth knowledge of current machine learning frameworks and commonly used models for training and inference Strong performance analysis skills for both CPU and GPU Extensive experience with C++ and Python Familiarity with distributed model training via NCCL/RCCL, MPI, or similar network technologies Experience in implementing and optimizing parallel methods on GPU accelerators in distributed memory systems with MPI, CUDA, HIP, OpenMP, etc. Experience in scientific computing disciplines such as computational chemistry, fluid dynamics, weather modeling, and oil and gas applications In-depth understanding of IO, parallel file systems, and network limitations and capabilities as used in AI models Familiarity with installation and setup of various AI applications and machine learning frameworks Experience provisioning clusters and validating their performance for use in machine learning applications Experience with build system tools including Make, CMake, autoconf, and autotools In-depth knowledge of software development practices including debug, test, revision control, documentation, and bug tracking Strong team development skills including demonstrated expertise with git and Jira Ability to work well in geographically dispersed teams ACADEMIC CREDENTIALS: Solid years of relevant industry experience Masters or PhD in Computer Science, Computational Physics, Engineering or related subjects, or equivalent experience #LI-EV1 #LI-HYBRID At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here. 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.

Application Software Optimization Engineer, ML/AI THE TEAM: AMD's Data Center GPU organization is transforming the industry with our AI based Graphic Processors. Our primary objective is to design exceptional products that drive the evolution of computing experiences, serving as the cornerstone for enterprise Data Centers, (AI) Artificial Intelligence, HPC and Embedded systems. If this resonates with you, come and joining our Data Center GPU organization where we are building amazing AI powered products with amazing people. THE ROLE: Would you like to be part of a world class team enabling applications for Artificial Intelligence? AMD is searching for talented and highly motivated computational scientists/engineers to join our team of developers preparing applications for AI platforms across the world. This position is for a senior level application optimization engineer in AI, with a focus on optimizing Machine Learning applications. You will be part of a team porting and tuning a wide variety of scientific applications for AMD CPU and GPU platforms. THE PERSON: An engineer computational scientist, or physicist with experience in multiple scientific computing domains and experience with using Machine Learning techniques in an AI setting. Must be self-motivated and possess the ability to work well within a team environment. KEY RESPONSIBILITIES: Port and optimize a variety of machine learning based models and applications for AMD CPU and GPU systems Provide domain specific knowledge to other groups at AMD Engage with AMD product groups to drive resolution of application and customer issues Develop and present training materials to internal audiences, at customer venues, and at industry conferences PREFERRED EXPERIENCE: Broad experience building, running and tuning machine learning models. In depth knowledge of current machine learning frameworks and commonly used models for training and inference Strong performance analysis skills for both CPU and GPU Extensive experience with C++ and Python Familiarity with distributed model training via NCCL/RCCL, MPI, or similar network technologies Experience in implementing and optimizing parallel methods on GPU accelerators in distributed memory systems with MPI, CUDA, HIP, OpenMP, etc. Experience in scientific computing disciplines such as computational chemistry, fluid dynamics, weather modeling, and oil and gas applications In-depth understanding of IO, parallel file systems, and network limitations and capabilities as used in AI models Familiarity with installation and setup of various AI applications and machine learning frameworks Experience provisioning clusters and validating their performance for use in machine learning applications Experience with build system tools including Make, CMake, autoconf, and autotools In-depth knowledge of software development practices including debug, test, revision control, documentation, and bug tracking Strong team development skills including demonstrated expertise with git and Jira Ability to work well in geographically dispersed teams ACADEMIC CREDENTIALS: Solid years of relevant industry experience Masters or PhD in Computer Science, Computational Physics, Engineering or related subjects, or equivalent experience #LI-EV1 #LI-HYBRID

At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here. 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.

Tags: No, USD $134,120.00/Yr., USD $191,600.00/Yr., US Careers (External)
AMD
AMD
Cloud Computing Computer Embedded Systems GPU Hardware Semiconductor

0 applies

2 views

There are more than 50,000 engineering jobs:

Subscribe to membership and unlock all jobs

Engineering Jobs

60,000+ jobs from 4,500+ well-funded companies

Updated Daily

New jobs are added every day as companies post them

Refined Search

Use filters like skill, location, etc to narrow results

Become a member

🥳🥳🥳 389 happy customers and counting...

Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.

To try it out

For active job seekers

For those who are passive looking

Cancel anytime

Frequently Asked Questions

  • We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
  • Salaries for the engineering jobs on our site range from $100K-$200K. On average, senior engineer positions on our EchoJobs are about $160K.
  • The EchoJobs positions have been sourced and vetted from the top companies to work for in the US as a software engineer, including LinkedIn and other reputable job sites. We also have syndicated jobs from companies that have just raised funding, as well as those that have great unique products and culture. From all of these sources, our founder, Morgan, has also resourced the company's authenticity in terms of their website, public appearance, and more.
  • Yes, our users asked us for just this, so now our search filters allow you to search for your top jobs via location, as well as by onsite, remote, or both. Approximately 30% of our jobs are remote, so you’ve got the best options for you!
  • We have not yet implemented this option, but are considering doing so in the future. For the moment, you would need to cancel your subscription, and resubscribe when you wanted to come back.
  • We add new jobs to EchoJobs every day! We scan our sources for the newest jobs, verify them, and post them to EchoJobs within minutes. We add about 2,000-3,000 new jobs for you each day!
  • From starting your job search to getting hired, the entire job search process can take us software engineers anywhere between 3-6 months. However, at EchoJobs, we’re striving to shorten this duration by finding the best, newest jobs for you, so you can do less job searching, and more applying.
  • We’d recommend checking EchoJobs daily, as we add new jobs to the site each day. Additionally, if you got a chance to read our previous email on “what makes EchoJobs different from any other job search tools,” we also recommended that you set a job alert based on your job filters, so if you get emails on those new jobs, you could be checking more than once per day.
  • If you decide to continue with us after the 1-month trial, we definitely recommend this, as we all know it usually takes 3-6 months to find a quality job as a software engineer these days. So to best support you, we just adjusted our membership options at EchoJobs to monthly, 3 months, or 12 months (this option is more for passive job seekers looking a little bit for the future if they want to come back to work or make a job switch potentially. This lets you see what’s out there in case an even better fit job becomes available.)
  • EchoJobs is truly the only job site of its kind. We want to be THE spot for you to find the best job for you, and haven’t encountered any other company doing this. Other job sites are in niches besides software engineering or focus on a small portion of engineering jobs (like a specific coding language). In the words of Morgan, our founder, “I think what makes EchoJobs different is the amount of jobs, frequency that we add new jobs (we add 2,000-3,000 new jobs daily!), and the powerful search engines to find exactly the job you want more easily and efficiently. We can provide you with the most jobs that are vetted by us, we’ll continually find more new jobs for you, and we make it easier for you to apply and get hired.

What Fellow Engineers Say