Job Description
Shape the Future with Project 2026.
We are seeking a visionary Senior AI Engineer to spearhead Project 2026, our flagship initiative to revolutionize autonomous systems. You will work at the intersection of deep learning, quantum computing, and neural architecture search. If you are passionate about building next-generation AI models that will define the landscape of 2026 and beyond, we want to meet you.
Why Join Us?
- Work on cutting-edge technology that will define the next decade.
- Competitive compensation and equity packages.
- Flexible remote-first policies with premium co-working spaces in SF.
- Access to state-of-the-art GPU clusters and research libraries.
The Opportunity:
Nebula Dynamics is building the core infrastructure for Project 2026. As a Senior Engineer, you will design scalable, fault-tolerant machine learning pipelines and mentor a team of top-tier researchers. This is a high-impact role where your code will directly influence the trajectory of our technology.
Responsibilities
- Architectural Leadership: Design and implement the core neural network architectures for the 2026 autonomous driving framework.
- Model Optimization: Optimize inference latency and model size using quantization, pruning, and distillation techniques.
- Research & Development: Stay ahead of the curve by integrating the latest advancements in Generative AI and Reinforcement Learning.
- Team Mentorship: Guide junior engineers and data scientists, conducting code reviews and technical workshops.
- Cross-Functional Collaboration: Partner with product managers and hardware engineers to ensure seamless AI integration.
- Roadmap Planning: Contribute to the technical roadmap for the 2026 release cycle.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 5+ years of professional experience in deep learning, with at least 2 years leading technical projects.
- Technical Skills: Proficiency in Python, PyTorch, or TensorFlow. Strong understanding of NLP and Computer Vision.
- Infrastructure: Experience deploying models on cloud platforms (AWS, GCP, Azure) and edge devices.
- Problem Solving: Proven ability to tackle complex, unstructured problems in high-pressure environments.
- Communication: Excellent verbal and written communication skills for technical and non-technical stakeholders.