Senior Software Engineer

.  Senior Software Engineer page is loaded## Senior Software Engineer locations:
Hinjewadi, Punetime type:
Full time posted on:
Posted Yesterday time left to apply:
End Date:
January 14, 2026 (24 days left to apply) job requisition :
R0005809##
** A Moving Experience.
** 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.

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:
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* 1) Develop new features and build tools for the NLU eco-system2) 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 features4) To collaborate with multiple teams on different sites.
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* What you bring:

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* Education:

Bachelor’s degree in computer science, electric engineering, etc.

Minimum years of work experience: 3
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* Required skills:

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* 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.

Cerence Inc. (Nasdaq: CRNC and ) 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 EMPLOYERCerence 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…