Voice AI Platform Engineer

4 weeks ago


Morrisville, Canada Lenovo Full time

* United States of America - North Carolina - Morrisville

Why Work at Lenovo

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$62 billion revenue global technology powerhouse, ranked #217 in the Fortune Global 500, employing 77,000 people around the world, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver smarter technology for all, Lenovo has built on its success as the world’s largest PC company by further expanding into growth areas that fuel the advancement of ‘New IT’ technologies (client, edge, cloud, network, and intelligence) including server, storage, mobile, software, solutions, and services.

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Description and Requirements

We are seeking a highly skilled Voice AI Platform Engineer to lead the deployment of AI modules into production environments and collaborate with algorithm engineers to optimize the modules' power consumption and memory requirements. In this role, you will be responsible for supporting the engineering implementation of AI algorithms, including development in C/C++, DSP platform porting, and optimization. You will also focus on the deployment and optimization of neural network (NN) models based on NPU or CPU architectures.

Join our team and lead the next generation of Voice AI technology Apply now to be at the forefront of AI innovation and impact.

Responsibilities:

  • AI Module Deployment: Lead the deployment of AI modules into production environments, ensuring efficient and reliable operation.
  • Optimization Collaboration: Work closely with algorithm engineers to optimize AI modules for power consumption and memory usage, ensuring the best performance across various platforms.
  • Engineering Implementation: Support the engineering implementation of AI algorithms, including development using C/C++, DSP platform porting, and performance optimization.
  • Neural Network Optimization: Deploy and optimize neural network (NN) models on NPU or CPU platforms, focusing on maximizing efficiency and effectiveness.
  • System Integration: Collaborate with cross-functional teams to ensure seamless integration of AI modules into existing systems and workflows.
  • Performance Testing: Conduct testing and validation of AI modules and NN models to guarantee performance standards are met in production environments.
  • Technical Documentation: Create and maintain detailed technical documentation for AI modules, including deployment processes, optimization strategies, and system integration guidelines.

Basic Qualifications:

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
  • 5+ years experience in C/C++ development, DSP platform porting, and optimization.

Preferred Qualifications:

  • Knowledge of AI frameworks and tools, AI algorithms and neural network models.
  • Experience with NPU and CPU-based NN model deployment and optimization.
  • Understanding of power consumption and memory optimization techniques.
  • Excellent teamwork and communication skills, with the ability to work closely with algorithm engineers and global teams.
  • Strong analytical and problem-solving skills, with a focus on optimizing AI performance in production environments.
  • Experience in voice AI or related fields.
  • Familiarity with embedded systems and real-time processing environments.

This position will be based in our North America Headquarters in Raleigh, NC. Our office has transitioned to a hybrid work environment supporting 3 days onsite and 2 days remote. To be considered, candidates need to be local to Raleigh or willing to relocate on their own.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.

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