Senior Software Engineer (Python, AI models, MLOps)

Cerence Inc.; Ulm; Vor Ort; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

A leading company in automotive voice AI solutions seeks a talented engineer to transition AI models into product-grade services for Text-to-Speech applications. The role focuses on optimizing speech AI algorithms and requires strong collaboration skills and expertise in Python programming and performance analysis.

Qualifikationen

• At least 3 years of experience in software engineering developing commercial cloud services.
• Experience with inference services and AI model productization required.
• Strong debugging skills across multiple software components.

Aufgaben

• Transition AI models from research to product-grade.
• Integrate into GPU-optimized services for Text-to-Speech applications.
• Identify and resolve performance bottlenecks.

Kenntnisse

Python programming

Debugging skills

Performance analysis

Container technologies

Ausbildung

Master's or Bachelor's degree in Computer Science

Tools

Docker

NVIDIA Triton Inference Server

Jobbeschreibung

Job Description

We are seeking a talented engineer to work on transitioning AI models from research to product-grade, integrating them into observable, GPU-optimized services for Text-to-Speech (TTS) applications.

The role involves productizing and optimizing GPU-accelerated speech AI algorithms such as TTS, voice cloning, and neural network-based vocoders. The candidate will identify and address performance bottlenecks, applying optimization techniques to enhance efficiency. Collaboration with cross-functional global teams is essential to introduce new product features and improve existing products.

Mandatory Qualifications

• Master's or Bachelor's degree (or equivalent experience) in Computer Science, computer architecture, or related field
• At least 3 years of experience in software engineering developing commercial cloud services
• Strong Python programming skills, including software design, debugging, performance analysis, and test design
• Experience with inference services (e.g., NVIDIA Triton Inference Server) and AI model productization
• Excellent debugging skills across multiple software components, including storage systems, kernels, and containers; familiarity with version control and code review tools
• Experience with container technologies such as Docker

Nice to Have

• Experience with service orchestration technologies like Kubernetes
• Knowledge of NVIDIA frameworks and tools for performance measurement and optimization
• Background in AI models for Speech Recognition, speech synthesis, Speech Translation, Machine Translation, or TTS

About Cerence Inc.

Cerence Inc. (Nasdaq: CRNC, www.cerence.com) is a global leader in automotive voice AI solutions. Spun out from Nuance in October 2019, Cerence has quickly established itself as a pioneer in the automotive voice assistant industry, collaborating with leading automakers worldwide to transform the driving experience. With over 20 years of industry expertise and more than 500 million cars equipped with Cerence technology across 70+ languages, we are shaping the future of voice and AI in vehicles.

Join Our Team

As Cerence continues its growth, we seek passionate individuals to help build the future of voice AI in cars. This is an exciting opportunity to be part of a dedicated, global team driving meaningful innovation in a rapidly evolving industry.

Equal Opportunity Employer

Cerence is committed to Equal Employment Opportunity (EEO) and complies with all applicable laws prohibiting employment discrimination based on age, race, gender, gender identity/expression, sex, pregnancy, national origin, religion, disability, marital status, citizenship, sexual orientation, veteran status, genetic information, and other protected classes.

Workplace Security

All employees must adhere to workplace security policies, including:

• Following security protocols and training
• Reporting suspicious activities
• Respecting security procedures
• Maintaining compliance with regulations
• Supporting a zero-tolerance policy on workplace violence
• Understanding information security and data privacy requirements
• Participating in security training programs