Senior Director Software Development - Performance Modeling and Optimization
We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.
AMD together we advance_
WHAT YOU DO AT AMD CHANGES EVERYTHING
We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.
AMD together we advance_
THE ROLE:
We are seeking a Senior Director of Engineering to lead our ML Performance Modeling and Optimization team, and participate in hardware and software co-design to accelerate ML workloads for training and inference. You will focus on the interaction between ML workload and hardware architecture, including modeling ML workload such as generative models on multiple HW configurations and provide your recommendation.
Furthermore, you will be working with customer and business unit on perf projection and analysis, and come up with novel solution to satisfy customer needs.
If you are passion about performance optimization, getting the best out of the HW, and shaping the future AI acceleration, then this role is for you.
THE PERSON:
As a Senior Director of Engineering for ML Performance, you will drive performance modeling on current and future hardware across latest ML workloads such as generative models for training and inference. In addition of profiling and analyzing various workloads on current hardware and come up with new way to improve their performance.
The ideal candidate will have a proven track record of building and leading a world-class performance engineering team. Experience with ML hardware architecture, software optimization and performance modeling. Experience with mapping model architecture to low level software and hardware and understand the hardware architecture impact on the model performance.
KEY RESPONSIBILITIES:
- Performance modeling and analysis of ML training and inference workloads across a single and multiple accelerators. In addition of exploring various tradeoff and design decision.
- Participate in hardware-software co-design for future hardware optimization on various ML workloads.
- Communicate and present the results of the performance analysis and modeling to customers, stakeholders, and senior leadership. And provide a concrete recommendation.
- Develop and improve our framework, tools and infrastructure for performance estimation, modeling and reporting.
- Growing the team across multiple sites. Set strategy, direction and roadmap for the team.
- Cross team collaboration and working across the organization to identify opportunities and develop strategies.
PREFERRED EXPERIENCE:
- Multiple years of experience leading a performance engineering team.
- Strong technical expertise and experience in performance analysis, projection, and hardware architecture.
- Strong leadership skills, ability to work collaboratively with customers and cross-functional teams.
- A strong ability to mentor, coach, and inspire a diverse and talented team of researchers and engineers.
- Excellent written, verbal, and presentation skills, ability to coordinate internally and externally.
ACADEMIC CREDENTIALS:
- A PhD or Master plus equivalent experience in computer science, electrical engineer, or a related field.
LOCATION;
- San Jose, other locations will be considered.
#LI-MH2
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.
WHAT YOU DO AT AMD CHANGES EVERYTHING
We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.
AMD together we advance_
THE ROLE:
We are seeking a Senior Director of Engineering to lead our ML Performance Modeling and Optimization team, and participate in hardware and software co-design to accelerate ML workloads for training and inference. You will focus on the interaction between ML workload and hardware architecture, including modeling ML workload such as generative models on multiple HW configurations and provide your recommendation.
Furthermore, you will be working with customer and business unit on perf projection and analysis, and come up with novel solution to satisfy customer needs.
If you are passion about performance optimization, getting the best out of the HW, and shaping the future AI acceleration, then this role is for you.
THE PERSON:
As a Senior Director of Engineering for ML Performance, you will drive performance modeling on current and future hardware across latest ML workloads such as generative models for training and inference. In addition of profiling and analyzing various workloads on current hardware and come up with new way to improve their performance.
The ideal candidate will have a proven track record of building and leading a world-class performance engineering team. Experience with ML hardware architecture, software optimization and performance modeling. Experience with mapping model architecture to low level software and hardware and understand the hardware architecture impact on the model performance.
KEY RESPONSIBILITIES:
- Performance modeling and analysis of ML training and inference workloads across a single and multiple accelerators. In addition of exploring various tradeoff and design decision.
- Participate in hardware-software co-design for future hardware optimization on various ML workloads.
- Communicate and present the results of the performance analysis and modeling to customers, stakeholders, and senior leadership. And provide a concrete recommendation.
- Develop and improve our framework, tools and infrastructure for performance estimation, modeling and reporting.
- Growing the team across multiple sites. Set strategy, direction and roadmap for the team.
- Cross team collaboration and working across the organization to identify opportunities and develop strategies.
PREFERRED EXPERIENCE:
- Multiple years of experience leading a performance engineering team.
- Strong technical expertise and experience in performance analysis, projection, and hardware architecture.
- Strong leadership skills, ability to work collaboratively with customers and cross-functional teams.
- A strong ability to mentor, coach, and inspire a diverse and talented team of researchers and engineers.
- Excellent written, verbal, and presentation skills, ability to coordinate internally and externally.
ACADEMIC CREDENTIALS:
- A PhD or Master plus equivalent experience in computer science, electrical engineer, or a related field.
LOCATION;
- San Jose, other locations will be considered.
#LI-MH2
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.
Helping diverse candidates find great careers is our goal. The information you provide here is secure and confidential.
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