Job Description
Are you ready to architect the infrastructure of tomorrow? Horizon AI Systems is seeking a visionary 2026 Future Systems Engineer to lead our cutting-edge simulation and neural network infrastructure projects. In this pivotal role, you will define the protocols for the next generation of digital reality and artificial intelligence integration.
As a 2026 Systems Engineer, you will be at the forefront of technological advancement, working on projects that bridge the gap between current AI capabilities and future state simulations. You will collaborate with top-tier researchers and developers to build scalable, secure, and efficient systems that power our global platform.
Why join us?
We offer competitive compensation, equity packages, and the opportunity to work on projects that define the future of technology.
Responsibilities
- Design and deploy scalable neural network architectures for the 2026 simulation suite.
- Maintain and optimize high-performance computing clusters to ensure minimal latency.
- Collaborate with cross-functional teams to integrate emerging AI technologies into legacy systems.
- Ensure data integrity, security, and compliance across all future-state platforms.
- Conduct code reviews and mentor junior engineers on best practices for high-availability systems.
- Research and prototype new algorithms for predictive modeling and autonomous systems.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (Master’s preferred).
- 5+ years of professional experience in Systems Engineering, DevOps, or Backend Development.
- Deep understanding of AI/ML frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages including Python, C++, or Rust.
- Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Strong problem-solving skills and ability to work in a fast-paced, agile environment.