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Senior AI Engineer (Project 2026) - San Francisco, CA

Nexus Future Systems
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Are you ready to build the future? Nexus Future Systems is seeking a visionary Senior AI Engineer (Project 2026) to join our elite R&D division. In this pivotal role, you will spearhead the development of next-generation artificial intelligence systems designed to solve complex problems in autonomous navigation and predictive analytics for the year 2026 and beyond.

We are not just building software; we are engineering the digital foundation of tomorrow. You will work in a cutting-edge environment where innovation is the only constant, collaborating with world-class engineers to push the boundaries of what is possible.

Why Join Us?

  • Work on Project 2026, our flagship initiative for the autonomous future.
  • Competitive equity package and comprehensive benefits.
  • Flexible remote-first policy with a premium office in San Francisco.

Responsibilities

  • Architect and implement scalable deep learning models for real-time data processing.
  • Lead the technical roadmap for Project 2026, ensuring alignment with long-term strategic goals.
  • Optimize algorithms for high-performance computing environments (GPU clusters).
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Collaborate with cross-functional teams including product managers and data scientists.
  • Research and integrate cutting-edge advancements in Generative AI and Transformer architectures.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum 5 years of professional experience in AI/ML engineering, preferably in a high-scale production environment.
  • Proficiency in Python, TensorFlow, PyTorch, and CUDA.
  • Strong understanding of distributed systems and cloud architecture (AWS/GCP).
  • Proven track record of shipping complex machine learning products.
  • Experience with ethical AI practices and bias mitigation in model training.

Required Skills

Python TensorFlow PyTorch Deep Learning Machine Learning CUDA AWS Distributed Systems AI Architecture

Ready to Take This Challenge?

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