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Lead AI initiatives, leveraging existing models, conducting data modeling, collaborating with teams, and ensuring timely project completion.
Join a high-performing team at Sonatus that’s redefining what cars can do in the era of Software-Defined Vehicles (SDV).
At Sonatus, we’re driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can’t keep pace with consumer expectations shaped by the mobile industry—where features evolve rapidly, update seamlessly, and improve continuously. That’s why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 5 million vehicles on the road today and rapidly expanding.
Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we’re solving some of the most interesting and complex challenges in the industry. Join us and help redefine what’s possible as we shape the future of mobility.
The Opportunity
Sonatus seeks highly motivated AI engineers with software development experience to join our team and help us accelerate software innovations for next-generation software-defined vehicles. We are passionate about putting our customers first and creating products that solve real-world problems.Duties and Responsibilities
- Lead efforts to leverage existing AI models and frameworks to solve complex business challenges.
- Conduct the full cycle of data modeling and algorithm development, including modeling, training, tuning, validating, deploying, and maintaining services, (AI breadth).
- Strong domain expertise in the AI area including LLM. cComputer vVision, Time Series, RAG, fine-tune large models, traditional ML models, etc. (AI depth)
- Stay current with industry trends and advancements in data science and AI technologies. (State-of-the-Art)
- Perform data analysis and offer insights to inform business decisions across multiple domains.
- Adhere to data privacy and security protocols to uphold the confidentiality of sensitive information.
- Collaborate with cross-functional teams to understand requirements and translate them into effective AI and data science solutions.
- Document and communicate technical designs, processes, and best practices to stakeholders using visualizations and presentations.
- Take charge of projects, ensuring timely completion in a dynamic work environment.
Qualifications and Experience
- Master’s or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field preferred. Bachelor's degree required.
- Strong programming skills in languages such as Python, Java, or C++, with hands-on experience in relevant frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- In-depth knowledge and understanding of current machine learning algorithms, AI technologies, and platforms.
- Solid experience in data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
- Strong knowledge of software development best practices, version control systems, and agile methodologies.
- Results-driven with a positive can-do attitude and excellent problem-solving skills.
- Exceptional verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams.
- Experience in the automotive industry is highly desirable.
Sonatus is a fast-paced and innovative company and are seeking team members who are passionate about making a difference. If you are ready to take your career to the next level, we highly encourage you to apply.
To all recruitment agencies: Sonatus, Inc. ("Sonatus") does not accept unsolicited agency resumes. Please do not forward resumes to our careers alias or other Sonatus' employees. Sonatus is not responsible for any fees associated with unsolicited activities.
Top Skills
AWS
Azure
C++
Databricks
Dataflow
Docker
GCP
Java
Kubernetes
Python
PyTorch
Scikit-Learn
Spark
SQL
TensorFlow
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