Senior Software Engineer
Cerence
Job Summary
Cerence AI is a global leader in AI for transportation, specializing in building AI and voice-powered companions for vehicles. The company partners with leading automakers to create safer, more connected, and enjoyable journeys. They are seeking a highly motivated Senior Software Engineer to maintain and improve NLU build tool chains used in production. This role involves new feature development, code maintenance, ensuring testing methodologies, and assisting language model developers in debugging models.
Must Have
- Develop new features and build tools for the NLU eco-system
- Conduct thorough testing and validation of NLU models to ensure high performance and reliability in production models
- Document and disseminate best practices of newly developed features
- Collaborate with multiple teams on different sites
- Skilled in Python, Linux, and Jenkins
- Strong problem analysis and solving skills
- Good English oral communication skills, teamwork spirit and be responsible for the delivery
- Solid understanding of software development life cycles and test methodologies
Good to Have
- Knowledge / Experience of C++ / Java
- Knowledge / Experience of ASR/NLU
- Knowledge / Experience of Gradle
Job Description
A Moving Experience.
Do you have a passion for pushing the boundaries of innovation? Are you excited about AI’s potential to improve the human experience? Then come join the ride!
Who is Cerence ai?
Cerence ai is the global leader in AI for transportation, specialized in building AI and voice-powered companions for cars, two-wheelers, and more that enable people to focus on what matters most. With over 500 million cars shipped with Cerence ai technology, we partner with leading automakers (such as Volkswagen, Mercedes, Audi, Toyota and many more), mobility providers, and technology companies to power intuitive, integrated experiences that create safer, more connected, and more enjoyable journeys for drivers and passengers alike.
Our Driving Force
Our team is dedicated to pushing the boundaries of AI innovation, working around the globe with headquarters in Burlington, Massachusetts, USA and 16 other offices across Europe, Asia, and North America. We bring together diverse backgrounds and varied skill sets with the shared goal of advancing the next generation of transportation user experiences. Our culture is customer-centric, collaborative, fast-paced, and fun, with continuous opportunities for learning and development to support your career growth.
Interested in having a significant impact in a dynamic industry with a high-performing global team?
We’re looking for a highly motivated Software Engineer to join our team. He/she should have a solid understanding of software development life cycles and test methodologies, combined with a passion for quality and efficiency. The responsibility is to maintain and improve the NLU build tool chains that are used in production. This will entail new feature development, maintaining and improving existing code-bases, and ensuring that testing methodologies are applied to ensure that errors are caught early. Other duties may be assisting language model developers in debugging the produced models.
Your Impact:
1) Develop new features and build tools for the NLU eco-system
2) Conduct thorough testing and validation of NLU models to ensure high performance and reliability in production models.
3) To document and disseminate best practices of newly developed features
4) To collaborate with multiple teams on different sites.
What you bring:
Education: Bachelor’s degree in computer science, electric engineering, etc.
Minimum years of work experience: 3
Required skills:
1) Skilled in Python, Linux, and Jenkins.
2) Strong problem analysis and solving skills, fast learner, willing to take the challenge.
3) Good English Oral communication skills, teamwork spirit and be responsible for the delivery.
Preferred skills:
- Knowledge / Experience of C++ / Java is a strong plus.
- Knowledge / Experience of ASR/NLU is a strong plus.
- Knowledge / Experience of Gradle is a strong plus.