Senior Software Engineer
Job Summary
Job Description
- 3+ years of software engineering experience with cloud services.
- Excellent Python programming and software design skills.
- Experience with inference Services and AI model productization.
- Debugging abilities spanning multiple software.
- Background with container technologies such as Docker.
- Background with service orchestration technology like Kubernetes.
- Experience with NVIDIA frameworks for performance optimization.
- Background with AI models for speech recognition and synthesis.
11 skills required
Job Details
A Moving Experience.
Your Impact
- Transitioning AI models from research to product-grade and integrating them into observable services optimized for GPUs, specifically for Text-to-Speech (TTS) applications.
- Productize and optimize GPU-accelerated versions of advanced speech AI algorithms like TTS, voice cloning and neural network-based vocoders etc.
- Identify and address performance bottlenecks, applying optimization techniques to enhance efficiency.
- Work collaboratively with cross-functional global teams to introduce new product features and enhance existing products.
Mandatory
- Master or Bachelor (or equivalent experience) in Computer Science, computer architecture, or related field
- 3+ years of experience of software engineering developing commercial cloud services
- Excellent Python programming and software design skills, including debugging, performance analysis, and test design
- Experience with inference Services (like NVIDIA Triton Inference Server) and productization of AI models
- Excellent Debugging abilities spanning multiple software (storage systems, kernels and containers). Familiarity with version control and code review tools
- Background with container technologies such as Docker
Nice to have
- Background with service orchestration technology like Kubernetes
- Experience with NVIDIA frameworks and tools for performance measurement and optimization
- Background with AI models for Speech Recognition, speech synthesis, Speech Translation, Machine Translation, TTS (Preferred)
Cerence Inc. (Nasdaq: CRNC and www.cerence.com) is the global industry leader in creating unique, moving experiences for the automotive world. Spun out from Nuance in October 2019, Cerence is a new, independent company that has quickly gained traction as a leader in the automotive voice assistant space, working with all of the world’s leading automakers – from Ford and Fiat Chrysler to Daimler, Audi and BMW to Geely and SAIC – to transform how a car feels, responds and learns. Its track record is built on more than 20 years of industry experience and leadership and more than 500 million cars on the road today across more than 70 languages.
As Cerence looks to the future and continues an ambitious growth agenda, we need someone to join the team and help build the future of voice and AI in cars. This is an exciting opportunity to join Cerence’s passionate, dedicated, global team and be a part of meaningful innovation in a rapidly growing industry.
EQUAL OPPORTUNITY EMPLOYER
Cerence is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination on the basis of age, race, color, gender, gender identity, gender expression, sex, sex stereotyping, pregnancy, national origin, ancestry, religion, physical or mental disability, medical condition, marital status, citizenship status, sexual orientation, protected military or veteran status, genetic information and other protected classifications. Cerence Equal Employment Opportunity Policy Statement.
All prospective and current Employees need to remain vigilant when it comes to executing security policies in the workplace. This includes:
- Following workplace security protocols and training programs to familiarize with the ways to maintain a safe workplace.
- Following security procedures to report any suspicious activity.
- Having respect for corporate security procedures to allow those procedures to be effective.
- Adhering to company's compliance and regulations.
- Encouraging to follow a zero tolerance for workplace violence.
- Basic knowledge of information security and data privacy requirements (e.g., how to protect data & how to be handling this data).
- Demonstrative knowledge of information security through internal training programs.
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