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Senior AI & Future Systems Engineer

OmniFuture Systems
San Francisco
Estimated Salary
USD 165.000 – USD 235.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to define the technological landscape of 2026? OmniFuture Systems is seeking a visionary Senior AI & Future Systems Engineer to lead our cutting-edge initiatives. In this pivotal role, you will bridge the gap between theoretical AI advancements and practical, scalable infrastructure.

We are building the foundational technology for the next decade. As a key member of our R&D division, you will shape how artificial intelligence integrates into complex real-world systems, ensuring our solutions remain at the forefront of innovation.

Why Join Us?

  • Future-Ready Environment: Work on projects designed to solve problems that don't even exist yet.
  • Top-Tier Compensation: Competitive salary and equity packages.
  • Autonomy: High degree of ownership over architectural decisions and technical direction.

Responsibilities

  • Architect and implement scalable AI models and systems designed to meet the rigorous demands of the 2026 era.
  • Lead cross-functional teams in research and development of next-generation neural networks and generative AI.
  • Optimize existing data pipelines and inference engines for high-performance computing environments.
  • Define long-term technical roadmaps aligned with the company's strategic vision for future technology.
  • Mentor junior engineers and foster a culture of innovation, code excellence, and continuous learning.
  • Collaborate with product managers to translate complex technical requirements into robust engineering solutions.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field; PhD is a strong plus.
  • 7+ years of professional experience in AI/ML engineering, software development, or systems architecture.
  • Expert proficiency in Python, TensorFlow, PyTorch, and modern system design patterns.
  • Deep understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of deploying large-scale machine learning models into production environments.
  • Experience with Rust or other systems programming languages is highly desirable.

Required Skills

Python Machine Learning Deep Learning Cloud Architecture AI TensorFlow PyTorch Docker Kubernetes AWS GCP Rust

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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