Systems software expert in perception fusion and deep learning for autonomous vehicles at NVIDIA. Designing and prototyping multimodal perception solutions for enabling autonomous driving features across OEM partners.
About the role
- Senior AI/ML Engineer at Cinemo developing GenAI/NLP solutions for intelligent cockpit systems. Leveraging cloud and in-vehicle integrations to enhance automotive experiences.
Responsibilities
- Lead GenAI / LLM / NLP research, development, tuning, and deployment for intelligent cockpit and infotainment experiences.
- Design, implement, and operate production-grade AgenticAI frameworks (tool use, planning, memory, orchestration) within Cinemo’s middleware architecture.
- Build and run cloud-based services and pipelines for scalable deployment, monitoring, and continuous improvement of GenAI systems.
- Develop prompt engineering strategies and guardrailing mechanisms to meet automotive-grade requirements (safety, policy, latency, cost, quality).
- Establish automated evaluation and benchmarking for non-deterministic systems (offline/online evaluation, regression testing, A/B testing).
- Collaborate across teams to connect cloud GenAI capabilities with in-vehicle environments across diverse automotive hardware and OS platforms.
Requirements
- PhD or M.Sc. in Computer Science, Machine Learning/AI, Data Science, Computational Linguistics, Electrical Engineering, Robotics, or a closely related field.
- Strong experience in NLP, Machine Learning, Deep Learning, and data preprocessing in production-oriented environments.
- Proven expertise with Transformer architectures and modern LLM ecosystems, including adaptation and evaluation for real-world applications.
- Experience with AgenticAI concepts and agent frameworks (e.g., orchestration patterns, tool calling, retrieval, planning) and how to evaluate them.
- Experience deploying and operating ML/GenAI systems in cloud-based infrastructures (e.g., containerization, CI/CD, monitoring, scalable services).
- Proficiency in Python and common ML frameworks (PyTorch, TensorFlow, Keras) with strong written and spoken English communication skills.
Benefits
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
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