Job Description
Are you ready to shape the technological landscape of the year 2026? Apex Future Systems is seeking a visionary Senior AI & Quantum Engineer to join our elite R&D division in San Francisco. We are building the infrastructure for tomorrow, today, and our 2026 roadmap requires your expertise in bridging classical artificial intelligence with next-generation quantum computing paradigms.
In this role, you will lead the charge in developing scalable neural networks that operate within quantum environments. You will work directly with C-level leadership to define the technical trajectory of our flagship products, ensuring we are not just keeping up with the future, but defining it.
Why join us?
We offer a competitive compensation package, fully remote-first flexibility (with a hub in SF), and the opportunity to work on projects that will define the next decade of technology.
Responsibilities
- Architect Next-Gen AI Models: Design and implement scalable quantum-inspired neural networks optimized for high-performance computing environments.
- Roadmap Leadership: Contribute to the strategic technical roadmap for the 2026 product launch, identifying emerging technologies and integration opportunities.
- Algorithm Optimization: Enhance existing machine learning pipelines to reduce latency and improve accuracy in real-time data processing.
- Cross-Functional Collaboration: Partner with data scientists, hardware engineers, and product managers to translate theoretical research into practical, deployable solutions.
- Pioneering Research: Publish papers and present findings at top-tier conferences, pushing the boundaries of what is possible in AI and quantum integration.
- Mentorship: Guide junior engineers and researchers, fostering a culture of continuous learning and technical excellence within the team.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on AI and Quantum Computing.
- Experience: Minimum of 7 years of professional experience in software engineering, machine learning, or quantum research.
- Technical Skills: Proficiency in Python, C++, TensorFlow, PyTorch, and familiarity with quantum computing frameworks such as Qiskit or Cirq.
- Problem Solving: Strong analytical skills with a proven track record of solving complex algorithmic challenges in high-pressure environments.
- Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.
- Future-Ready Mindset: A deep passion for emerging technologies and a proactive approach to staying ahead of industry trends.