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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Future Systems Engineer

Nexus 2026 Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are pioneering the technological landscape for the year 2026 and beyond. Nexus 2026 Innovations is seeking a visionary Senior AI & Future Systems Engineer to architect the next generation of artificial intelligence infrastructure. You will be at the forefront of developing scalable, quantum-ready algorithms that redefine what is possible in data processing and automation.

In this role, you will not just write code; you will define the standard for future tech. Join a team of elite engineers dedicated to building resilient, high-performance systems capable of handling the complexities of tomorrow.

Key Benefits:

  • Competitive equity package and 401(k) matching.
  • Unlimited PTO and remote-first flexibility.
  • Access to cutting-edge quantum computing resources.
  • Annual learning and development stipend.

Responsibilities

  • Design and deploy scalable machine learning pipelines optimized for 2026-era hardware architectures.
  • Lead research initiatives in generative AI, large language models, and autonomous decision-making systems.
  • Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
  • Mentor junior engineers and establish best practices for code quality and system architecture.
  • Conduct rigorous testing and validation to ensure system reliability under high-load scenarios.
  • Stay ahead of industry trends, specifically focusing on AGI (Artificial General Intelligence) readiness.
  • Optimize neural networks for edge computing and real-time latency reduction.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • Minimum of 5-7 years of experience in software engineering and machine learning development.
  • Deep expertise in Python, PyTorch, TensorFlow, and CUDA programming.
  • Proven track record of deploying production-grade AI models serving millions of users.
  • Strong understanding of distributed systems, microservices, and cloud-native architectures (AWS/GCP).
  • Experience with quantum computing libraries or simulation tools is a significant plus.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow AWS Docker Kubernetes Distributed Systems NLP SQL Agile

Ready to Take This Challenge?

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