Job Description
Are you ready to architect the world of tomorrow?
OmniCore Innovations is at the forefront of the next technological revolution. We are seeking a visionary Lead Future Systems Architect to define the technical roadmap for 2026 and beyond. In this pivotal role, you will bridge the gap between theoretical future tech and scalable engineering solutions, leading a team of elite engineers to build the infrastructure of the future.
Join us in shaping the future of artificial intelligence, quantum computing integration, and sustainable energy grids. This is not just a job; it is a mission to redefine what is possible.
Why Join Us?
- Work on cutting-edge projects that define the industry standard for 2026.
- Competitive compensation package including stock options and performance bonuses.
- Flexible hybrid work environment in the heart of San Francisco.
- Access to top-tier hardware and R&D resources.
Responsibilities
- Define the 2026 Technical Roadmap: Spearhead the strategic planning for emerging technologies, ensuring our infrastructure is future-proofed for the next decade.
- Architect Scalable Solutions: Design and oversee the implementation of complex distributed systems that integrate AI, IoT, and edge computing.
- Lead High-Performance Teams: Mentor and manage a diverse team of senior engineers, fostering a culture of innovation and technical excellence.
- Quantum-Ready Infrastructure: Develop architectures that are compatible with future quantum computing advancements, ensuring seamless migration paths.
- Cross-Functional Collaboration: Partner with product managers, designers, and stakeholders to translate futuristic concepts into actionable technical specifications.
- Security & Ethics: Implement robust security protocols and ethical AI guidelines to ensure responsible innovation.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 10+ years of experience in software architecture, with at least 5 years in a leadership role.
- Expert proficiency in Python, Java, or Go.
- Deep understanding of Machine Learning frameworks (TensorFlow, PyTorch) and their deployment architectures.
- Experience with cloud platforms (AWS, Azure, GCP) and containerization (Kubernetes, Docker).
- Familiarity with quantum computing concepts and edge computing paradigms.
- Strong problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.
- Excellent communication skills, capable of articulating complex technical concepts to non-technical stakeholders.