Job Description
Join 2026 Labs at the forefront of technological revolution as we pioneer quantum computing applications for sustainable energy solutions. Our multidisciplinary team of visionaries is developing breakthrough algorithms to optimize renewable energy grids, carbon capture systems, and climate modeling simulations. This role offers unparalleled opportunity to shape the next decade of environmental technology while working with state-of-the-art quantum hardware and machine learning frameworks.
We offer competitive compensation, flexible work arrangements, and a benefits package including equity options. Our state-of-the-art facility in downtown San Francisco features quantum laboratories, collaborative innovation spaces, and wellness programs designed to maximize creativity and impact.
Responsibilities
- Design and implement quantum algorithms for complex climate modeling simulations
- Lead cross-functional teams to develop quantum-optimized renewable energy grid solutions
- Collaborate with hardware engineers to prototype quantum processors for environmental applications
- Publish cutting-edge research in peer-reviewed journals and industry conferences
- Mentor junior researchers and drive innovation in quantum machine learning techniques
- Secure research grants and partnerships with leading environmental organizations
- Translate theoretical quantum computing concepts into practical climate solutions
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or similar)
- Strong background in machine learning and high-performance computing
- Proven track record of publishing in quantum computing or climate science
- Expertise in algorithm optimization for quantum hardware constraints
- Experience with scientific computing libraries (NumPy, SciPy, TensorFlow Quantum)
- Demonstrated ability to secure research funding and manage academic projects
- Passion for applying quantum technology to environmental challenges