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Sr. Staff AI/ML Engineer
4 months ago
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:
AMD is looking for an influential software engineer who is passionate about improving the performance of key applications and benchmarks You will be a member of a core team of incredibly talented industry specialists 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:
- Engaging with software partner architects and engineers to jointly work on performance optimizations, develop benchmarking plans, develop technical collateral (presentations, whitepapers, etc.) to position ML compiler in target market segments, and co-develop joint partner demos and proof-points. The role may also work with partners to create SOW for implementations as needed.
- Interact with Customers, helping them converge on their critical design needs
- Drive successful Adoption of AMD AI Engine tool flows by working closely with key customers, AMD Marketing, Vitis Engineering, and Field Specialists.
- Work with Tech Marketing and Applications Engineering to understand customer needs and accordingly architect new features
- Stay informed of software and hardware trends and innovations, especially pertaining to algorithms and architecture
- Work with Architecture team to design next gen ML solutions
- Experience in a field associated with machine learning algorithms and frameworks
- Expertise with Deep Neural Network architectures like CNN, RNN, LLM etc.
- Expertise with AI framework like Pytorch, Tensorflow, Caffe, etc.
- Knowledge of Acceleration Platform like GPU, TPU, APU, AIE, FPGAs.
- Strong SW programming skills (C++ and/or Python)
- Strong Analytical skills
- Excellent written/verbal communication skills
- Experience in optimizing Machine Learning application for a target architecture
- Experience with quantization techniques is a plus
- Team player with ability to work across a diverse team, also cross-functionally and in geographically distributed teams.
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent
Location:
San Jose
#LI-JT1
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.
