Description

Invent the future with us.

Recognized by Fast Company’s 2023 100 Best Workplaces for Innovators List, 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, sustainable cloud computing.

By providing a new level of predictable performance, efficiency, and sustainability Ampere is working with leading cloud suppliers and a growing partner ecosystem to deliver cloud instances, servers and embedded/edge products that can handle the compute demands of today and tomorrow.

Join us at Ampere and work alongside a passionate and growing team — we’d love to have you apply!

About the role:

We’re expanding our AI/ML Engineering team at Ampere and looking for a Director of Engineering, AI/ML. In this role, you will have the opportunity to engage directly with customers, understanding and addressing their unique AI needs. If you’re passionate about AI and enjoy working in a collaborative, client-focused setting, this is the perfect job for you. This is a high visibility, high impact role that will contribute significantly to building and implementing our AmpereOne Aurora product.

What you’ll achieve:

Successfully deploy cutting-edge AI/ML workloads across cloud and enterprise customers, ensuring both scale and power efficiency.
Lead and motivate a high-performing engineering team, driving projects from initial concept through to successful completion.
Tailor Ampere’s state-of-the-art products to meet the needs of customers by implementing efficient and effective solutions.
Seamlessly combine AI Product Management with Solutions Engineering responsibilities to deliver outstanding results.

About you:

Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, or a similar quantitative field and a minimum 15 years of overall software engineering experience
Past experience working closely with cloud and enterprise customers, implementing custom solutions at scale
4+ years of experience with Python and C/C++ languages
Previous experience working with large-scale software systems
Knowledge the tool: Linux, Git, GCC, LLVM
Ability to thrive in a fast-paced startup environment and get stuff done
Strong familiarity with machine learning and deep learning. Ideally some experience with popular frameworks (Tensorflow, PyTorch, Llama.cpp, vLLM etc.)

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, bonus, equity, and comprehensive benefits. The full base pay range for this role is between $195,400 and $325,600, except in the San Francisco Bay Area where the range is between $201,400 and $335,600. We offer an annual bonus program tied to internal company goals and annual meritocratic equity awards that enable our employees to participate in the success of the company.

Our benefits include health, wellness, and financial programs that support employees through every stage of life, with full benefits eligibility at 20 hours per week. Benefits highlights include:

Premium medical, dental, 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 passionate about inventing industry leading cloud-native designs that contribute to a more sustainable future. We are excited to share more about our career opportunities with you through the interview process.

#LI-DR

#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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