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Senior Software Engineer - Cloud Developer

Cerence Inc.
Brockton, MA Full Time
POSTED ON 1/21/2025
AVAILABLE BEFORE 4/18/2025

Senior Software Engineer - Cloud Developer

A Moving Experience.

Please double check you have the right level of experience and qualifications by reading the full overview of this opportunity below.

Who is Cerence?

Cerence 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 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 an exceptional Sr Software Engineer-Cloud who is ready to drive the future of mobility with us!

Your Impact

  • Cloud-Based Development : Design and implement scalable, high-performance LLM applications in the cloud, ensuring seamless user experiences.
  • System Architecture & Integration : Lead decisions on deploying LLMs at scale, optimizing for performance, security, and cost in cloud environments.
  • Cross-Functional Collaboration : Work with product managers, data scientists, and DevOps, while mentoring junior engineers and enforcing best practices.
  • Optimization & Troubleshooting : Address and resolve technical challenges such as latency and memory usage in cloud-hosted LLM solutions.
  • Feature Development : Take ownership of features from ideation to deployment, iterating based on user feedback and performance data.
  • Continuous Learning : Stay updated on LLM, AI, and cloud advancements to enhance product capabilities and contribute to team and company success.

What you Bring :

  • Technical Expertise : Proficient in Python, Java, or similar languages with hands-on experience in large language models (LLMs) is required. Strong plus for experience in function calling, prompt engineering, Retrieval-Augmented Generation (RAG), VLLM, and fine-tuning models. Additionally, expertise in Natural Language Understanding (NLU) will be a valuable asset for the role. Familiarity with cloud deployment (AWS, GCP, Azure) is a plus.
  • Education : Bachelor's in computer science, Engineering, or related field; master’s or Ph.D. is a bonus.
  • Experience : 5 years of software engineering experience, especially in AI, cloud, or machine learning environments.
  • Skills : Strong understanding of microservices, APIs, Docker / Kubernetes, and data structures. Ability to optimize cloud-based solutions for performance and scalability.
  • Additional Qualifications : Excellent collaboration, mentoring, and communication skills, with a track record of delivering high-performance software solutions.

    • What We Offer :

  • Annual bonus opportunity
  • Insurance coverage
  • Paid time off
  • Paid holidays
  • Equity-based awards for some positions and levels
  • Remote and / or hybrid work available depending on position.

    • All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable and as may be amended, terminated or superseded from time to time.

    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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