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Senior AI Engineer - 2026 Tech Vision

Nebula Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to architect the technology of tomorrow? Nebula Dynamics is pioneering the future of artificial intelligence, and we are looking for a visionary Senior AI Engineer to join our team in San Francisco.

We are on the cutting edge of 2026-era AI development, focusing on scalable, autonomous systems, next-generation Large Language Models (LLMs), and quantum-ready algorithms. In this role, you won't just write code; you will define the architectural standards for the next decade of intelligent computing.

Why join us?

  • Work with a team of world-class researchers and engineers.
  • Access to cutting-edge hardware and cloud infrastructure.
  • Competitive equity and benefits package.
  • Remote-first culture with a hub in the heart of the tech hub.

If you are passionate about pushing the boundaries of what's possible in AI, we want to hear from you.

Responsibilities

  • Design, develop, and deploy advanced machine learning models for 2026-scale data processing.
  • Architect scalable AI infrastructure that integrates seamlessly with legacy systems and future-proof technologies.
  • Collaborate with cross-functional teams to define product requirements and translate them into technical specifications.
  • Optimize neural network performance for low-latency inference on edge devices.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Stay at the forefront of AI research, evaluating and implementing new breakthroughs in Natural Language Processing and Computer Vision.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • Minimum of 5+ years of experience in AI/ML engineering, with a proven track record of shipping production-level models.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Experience with MLOps pipelines and model versioning.
  • Familiarity with 2026-era technologies such as Neuromorphic computing or advanced Quantum Machine Learning concepts is a plus.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Distributed Systems MLOps AWS Kubernetes Natural Language Processing

Ready to Take This Challenge?

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