AI Software Solutions Engineer

Santa Clara, California, United States; Portland, Oregon, United States

Ampere Computing

Discover how Ampere's unique design delivers unmatched efficiency, meeting the growing demand for cloud computing while consuming minimal resources.

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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: As an AI Software Solutions Engineer at Ampere, you'll work on benchmarking and integrating cutting-edge AI frameworks.  You'll work closely with our AI Software Team to develop and enhance machine learning libraries. You'll also analyze neural network models, proposing critical improvements and optimizations to drive the performance of next generation AI compute technologies. What you’ll achieve: 
  • In this role, you will work on benchmarking and integrating innovative solutions and enhancements for popular machine learning libraries such as TensorFlow, PyTorch, Llama.cpp, and vLLM, positioning you at the forefront of AI innovation. 
  • Collaborate with Ampere’s AI Optimization Team to deliver future products.
  • Utilize a data-driven approach to focus on benchmarking and optimization efforts.
  • Troubleshoot and resolve existing issues, and explore alternative, more efficient methods to achieve similar results.
  • Be a key team member in building state-of-the-art software and hardware AI co-processors/accelerators, pushing the boundaries of what's possible in AI technology.
About you: 
  • Bachelors degree & 8 years of related experience; or Master's degree & 6 years
  • Strong expertise in Python, PyTorch & similar AI tools (TensorFlow, scikit-learn, Cuda)
  • Experience building and maintaining software benchmarking and integration plans
  • 6+ years of experience developing and/or benchmarking software solutions, a big plus if your experience includes AI software.
  • An innovative and creative mindset with a strong attention to detail
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 $135,400 and $225,600, except in the San Francisco Bay Area where the range is between $146,300 and $243,800. 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.

Benefit 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
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Tags: CUDA LLaMA Machine Learning Python PyTorch Scikit-learn TensorFlow vLLM

Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Health care Salary bonus Wellness

Region: North America
Country: United States

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