Job Description
Are you ready to architect the future of intelligence? NovaCore Systems is seeking a visionary Next-Gen AI Architect to lead the development of autonomous systems and ethical artificial general intelligence for 2026 and beyond.
We are not just building software; we are engineering the cognitive infrastructure of tomorrow. You will be at the forefront of integrating Neural Interfaces, Explainable AI (XAI), and Autonomous Decision Engines into scalable, enterprise-grade solutions. If you thrive in a high-velocity environment and are passionate about the ethical implications of AI, we want to hear from you.
Why Join NovaCore?
• Work on cutting-edge projects that define the industry standard for AI.
• Competitive compensation package and equity options.
• Flexible remote-first policy with premium office amenities in San Francisco.
• Access to state-of-the-art computing clusters and research grants.
Responsibilities
- Design and deploy scalable machine learning pipelines capable of processing petabytes of data in real-time.
- Lead the research and implementation of Ethical AI frameworks to ensure bias mitigation and fairness in automated decision-making.
- Optimize deep learning models for edge computing environments, ensuring low-latency performance in diverse hardware configurations.
- Collaborate with cross-functional product and engineering teams to translate complex AI capabilities into intuitive user experiences.
- Mentor junior engineers and contribute to the company's open-source AI library.
- Stay abreast of global AI trends to guide the company’s strategic technology roadmap.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related quantitative field.
- 5+ years of experience in machine learning engineering, with a focus on deep learning and large language models (LLMs).
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Strong understanding of transformer architectures and generative AI models.
- Experience with cloud infrastructure (AWS/GCP/Azure) and containerization technologies (Docker/Kubernetes).
- Demonstrated ability to communicate complex technical concepts to non-technical stakeholders.