Home Job Details
N
Information Technology 🏒 Full Time ⭐️ Verified

Principal Architect: Generative AI & Spatial Computing (Project 2026)

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

The Future is Now. Nexus Horizon Technologies is pioneering the next generation of human-machine interfaces. We are seeking a visionary Principal Architect to lead Project 2026, a groundbreaking initiative focused on integrating generative AI with spatial computing to redefine digital reality. This is a rare opportunity to architect systems that will operate at the forefront of technology in 2026 and beyond.

As a key leader in our engineering division, you will bridge the gap between theoretical research and production-grade software. You will define the core neural architectures that power our immersive environments and ensure scalability for millions of concurrent users.

Responsibilities

  • Architect Core Systems: Design and implement scalable neural network architectures for real-time generative content creation in spatial environments.
  • Research & Development: Lead research initiatives in multimodal AI, ensuring our models exceed the performance benchmarks required for the 2026 roadmap.
  • Technical Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and excellence.
  • Performance Optimization: Drive optimization strategies to reduce latency and improve inference speeds for low-latency AR/VR applications.
  • Cross-Functional Collaboration: Work closely with product managers, designers, and hardware engineers to align technical roadmaps with business goals.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related field with a focus on AI or Robotics.
  • Experience: 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture and large-scale systems.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and C++ for high-performance computing.
  • Domain Knowledge: Deep understanding of Generative Adversarial Networks (GANs), Diffusion Models, and Spatial Computing concepts.
  • Soft Skills: Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow C++ Machine Learning Deep Learning Spatial Computing Generative AI System Architecture CUDA GPGPU

Ready to Take This Challenge?

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

Apply Now

Related Jobs

Similar job recommendations for you

View All