Job Description
The Future is Now. Apex Future Systems is pioneering the next generation of autonomous technologies. As we prepare for our Horizon 2026 rollout, we are seeking a visionary Lead Architect to design the core infrastructure that will define the next decade of AI and robotics.
In this role, you won't just be maintaining systems; you will be architecting the foundation for our flagship 2026 product line. You will bridge the gap between theoretical AI research and scalable, production-grade software. If you are passionate about building the future and thrive in a high-stakes, fast-paced environment, we want to hear from you.
Why Join Us?
- Impactful Work: Directly influence the roadmap for our 2026 global launch.
- Innovation: Work with state-of-the-art GenAI, predictive modeling, and edge computing.
- Equity Package: Competitive stock options as part of our long-term vision.
- Top-Tier Talent: Collaborate with the best engineers and data scientists in the Bay Area.
Responsibilities
- Architect the 2026 Infrastructure: Design and implement a robust, scalable microservices architecture tailored for high-frequency AI processing.
- System Integration: Lead the integration of complex robotics hardware with cloud-based AI models for real-time decision-making.
- Technical Leadership: Mentor a team of senior engineers and architects, fostering a culture of excellence and continuous improvement.
- Roadmap Strategy: Define the technical vision and strategic milestones for the Horizon 2026 project.
- Performance Optimization: Oversee system performance, latency reduction, and throughput maximization for mission-critical applications.
- Security & Compliance: Ensure all architectural decisions adhere to rigorous security standards and industry regulations.
Qualifications
- Education: Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, Robotics, or a related technical field.
- Experience: 8+ years of experience in software architecture, with at least 3 years in a Lead Architect or Engineering Manager role.
- Core Tech: Deep expertise in Python, Java, and modern AI frameworks (TensorFlow, PyTorch, JAX).
- Cloud Mastery: Extensive experience designing systems on AWS, GCP, or Azure, specifically for machine learning workloads.
- System Design: Proven track record of designing distributed systems capable of handling petabyte-scale data.
- Communication: Exceptional ability to translate complex technical concepts into actionable business strategies.