Description Invent the future with us. Ampere is a semiconductor design company for a new era, leading the future of computing with an innovative approach to CPU design focused on high-performance, energy efficient AI compute.
As a pioneer in the new frontier of energy efficient high-performance computing, Ampere is part of the Softbank Group of companies driving sustainable computing for AI, Cloud, and edge applications.
Join us at Ampere and work alongside a passionate and growing team - we'd love to have you apply!
About the Role: In this role, you will optimize computational graphs to unlock the full potential of Ampere's deep learning accelerator. You'll work across the full SW/HW stack - from inference serving and framework integration down to compiler, runtime, and compute kernels.
What You'll Achieve: - Optimize deep learning computational graphs for performance, throughput, and latency on Ampere's accelerator hardware
- Enable popular models and frameworks (PyTorch, Llama.cpp) and serving platforms (vLLM, SGLang)
- Identify and implement graph-level optimizations: op fusion, pattern recognition, redundancy elimination
- Collaborate on HW/SW co-design to push computational efficiency
- Work with cross-functional teams to integrate AI solutions into Ampere's AI hardware platforms
About You: - Bachelors degree in Computer Science, Mathematics or a related technical field & 8 years of related experience; or Master's degree & 6 years
- Strong CS fundamentals: algorithms, data structures, systems
- Experience with LLVM compiler framework as well as MLIR dialect
- Solid graph algorithm knowledge and reasoning ability
- Proficiency in Python and C/C++
- Demonstrated exceptional problem-solving ability - IOI medal, ACM ICPC medal, Codeforces Grandmaster, USACO Platinum, or equivalent competitive programming achievement is a big plus
- Preferred to have traditional CPU or GPU compiler development background
- Experience with PyTorch is a plus
- Fast learner who can pick up new domains quickly and maximize agent-assisted development
- Familiarity with deep learning concepts and neural network architectures is a plus
What We'll Offer: At Ampere we believe in taking care of our employees and providing a competitive total rewards package that includes base pay, cash long-term incentive, and comprehensive benefits. The full base pay range for this role is between $195,000 and $292,000. Our benefits include health, wellness, and financial programs that support employees through every stage of life.
Benefit highlights include:
- Premium medical insurance, dental insurance, vision insurance, as well as income protection and a 401K retirement plan, so that you can feel secure in your health and financial future.
- Unlimited Flextime and 10+ paid holidays so that you can embrace a healthy work-life balance.
- A variety of healthy snacks, energizing espresso, and refreshing drinks to keep you fueled and focused throughout the day.
And there is much more than compensation and benefits. At Ampere, we foster an inclusive culture that empowers our employees to do more and grow more. We are excited to share more about our career opportunities with you through the interview process. Our benefits include health, wellness, and financial programs that support employees through every stage of life.
#LI-Hybrid
Ampere is an inclusive and equal opportunity employer and welcomes applicants from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, religion, age, veteran and/or military status, sex, sexual orientation, gender, gender identity, gender expression, physical or mental disability, or any other basis protected by federal, state or local law.
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