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Senior AI Engineer - Project 2026

Nexus Horizon Labs
Austin
Estimated Salary
USD 150.000 – USD 220.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to shape the future? Nexus Horizon Labs is currently seeking elite visionaries to join our flagship initiative, Project 2026. This is not just a job; it is a mission to pioneer the next generation of artificial general intelligence and sustainable computing architectures.


We are looking for individuals who thrive in ambiguity and are driven by the challenge of solving the unsolvable. You will work alongside world-class researchers and engineers to build scalable systems that will define the technological landscape of the coming decade.


Why join us?

  • Work on a project with a $1B+ potential impact.
  • Unlimited PTO and comprehensive health benefits.
  • Top-tier equity package for all employees.
  • Access to the latest hardware and research tools.

Responsibilities

  • Architect and implement core algorithms for Project 2026's neural network infrastructure.
  • Lead code reviews and ensure the highest standards of software quality, security, and performance.
  • Design scalable data pipelines to handle petabyte-scale datasets.
  • Collaborate with product managers to translate complex technical requirements into actionable engineering tasks.
  • Drive the adoption of cutting-edge AI methodologies and best practices within the engineering team.
  • Identify technical risks and propose mitigation strategies for long-term research initiatives.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 7 years of professional experience in software development, with at least 3 years in AI/ML engineering.
  • Deep expertise in Python, PyTorch, TensorFlow, or similar machine learning frameworks.
  • Proven experience with distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Strong problem-solving skills and the ability to debug complex, low-level system issues.
  • Excellent verbal and written communication skills for technical documentation and stakeholder presentations.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow Distributed Systems Cloud Computing AWS Docker Kubernetes System Architecture

Ready to Take This Challenge?

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