Quantum Algorithms Engineer

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AI Summary

Design and develop novel quantum algorithms for AI training, inference, and reasoning workloads. Collaborate with quantum hardware architects, compiler engineers, and AI researchers to create hybrid quantum-classical workflows optimized for heterogeneous quantum systems. Requires strong quantum computing fundamentals, Python proficiency, and experience with quantum frameworks.

Key Highlights
Design quantum algorithms for AI workloads
Develop hybrid quantum-classical workflows
Work with heterogeneous quantum architectures
Key Responsibilities
Design novel quantum algorithms for AI training, inference, optimization, and reasoning workloads
Develop hybrid quantum-classical workflows that integrate GPUs, CPUs, and QPUs
Explore quantum advantage opportunities in machine learning, optimization, simulation, and scientific computing
Design algorithms for heterogeneous quantum architectures involving multiple qubit modalities
Collaborate with compiler and architecture teams to co-design hardware-aware algorithms
Benchmark and evaluate algorithm performance using simulation and real quantum hardware
Research fault-tolerant implementations of advanced quantum algorithms
Publish research findings and contribute to intellectual property generation
Work with external partners, universities, and national laboratories on collaborative research initiatives
Technical Skills Required
Quantum computing Python C++ or Rust
Benefits & Perks
Company-sponsored health coverage
Competitive equity package
Flexible work arrangements
Conference and research travel support
Access to leading quantum and AI research communities
Unlimited PTO
Visa sponsorship
Nice to Have
Research experience in quantum machine learning
Publications at leading venues such as QIP, NeurIPS, ICML, Nature, Science, PRX Quantum, Quantum
Experience with tensor networks, HPC systems, distributed computing, or AI infrastructure
Familiarity with fault-tolerant resource estimation and quantum architecture design
Experience working in interdisciplinary research and engineering teams

Job Description


About Heisenberg Research


Heisenberg Research is building the future of quantum computing for AI.

Our mission is to exponentially accelerate AI training, inference, and reasoning by integrating fault-tolerant quantum computing into next-generation AI infrastructure. We believe quantum computing is a critical path toward overcoming the compute, energy, and scaling bottlenecks limiting progress toward advanced AI systems.

Our architecture combines multiple qubit modalities within a unified fault-tolerant framework, enabling a new class of heterogeneous quantum systems optimized for large-scale AI workloads. We operate at the intersection of quantum computing, artificial intelligence, distributed systems, and advanced hardware design.

We're looking for exceptional engineers and researchers who want to define entirely new computational paradigms and help build the infrastructure for the next era of intelligence.


What You'll Work On


As a Quantum Algorithms Engineer, you will design and develop algorithms that leverage heterogeneous quantum hardware to solve problems beyond the reach of classical systems.

You will work closely with quantum hardware architects, compiler engineers, AI researchers, and systems engineers to create algorithms optimized for our multi-modal quantum computing platform.

This is a highly interdisciplinary role that combines quantum computing, machine learning, optimization, and large-scale systems research.

Key Responsibilities

  • Design novel quantum algorithms for AI training, inference, optimization, and reasoning workloads.
  • Develop hybrid quantum-classical workflows that integrate GPUs, CPUs, and QPUs.
  • Explore quantum advantage opportunities in machine learning, optimization, simulation, and scientific computing.
  • Design algorithms for heterogeneous quantum architectures involving multiple qubit modalities.
  • Collaborate with compiler and architecture teams to co-design hardware-aware algorithms.
  • Benchmark and evaluate algorithm performance using simulation and real quantum hardware.
  • Research fault-tolerant implementations of advanced quantum algorithms.
  • Publish research findings and contribute to intellectual property generation.
  • Work with external partners, universities, and national laboratories on collaborative research initiatives.


You May Be a Fit If You Have


Required Qualifications

  • MS, PhD, or equivalent experience in Quantum Computing, Computer Science, Physics, Mathematics, Electrical Engineering, or a related field.
  • Strong understanding of quantum computing fundamentals, including:
  • Quantum circuits
  • Quantum information theory
  • Variational algorithms
  • Quantum error correction
  • Fault-tolerant computing
  • Experience with quantum frameworks such as:
  • Qiskit
  • Cirq
  • PennyLane
  • Q#
  • Braket
  • CUDA-Q
  • Strong programming skills in Python and at least one systems language (C++, Rust, or similar).
  • Experience implementing and evaluating quantum algorithms on simulators and/or real quantum hardware.


Preferred Qualifications

  • Research experience in one or more of:
  • Quantum machine learning
  • Quantum optimization
  • Quantum simulation
  • Distributed quantum computing
  • Quantum networking
  • Quantum error correction
  • Publications at leading venues such as QIP, APS, NeurIPS, ICML, Nature, Science, PRX Quantum, Quantum, or similar.
  • Experience with tensor networks, HPC systems, distributed computing, or AI infrastructure.
  • Familiarity with fault-tolerant resource estimation and quantum architecture design.
  • Experience working in interdisciplinary research and engineering teams.


How We're Different

We're not building another quantum computer.

We're building the computational foundation for quantum superintelligence.

Our team is pioneering new domains at the intersection of physics, engineering, and AI. We believe the most transformative breakthroughs emerge when exceptional people tackle ambitious problems with intellectual rigor, curiosity, and optimism.

At Heisenberg Research:

  • Mission comes before ego.
  • We value first-principles thinking.
  • We encourage ambitious ideas backed by rigorous execution.
  • We collaborate openly across disciplines.
  • We move quickly while maintaining scientific integrity.
  • We optimize for long-term impact rather than short-term trends.


Culture & Benefits

The Best of Both Worlds

Access to cutting-edge quantum hardware, advanced compute infrastructure, and world-class research collaborators while retaining the intellectual freedom of an elite research environment.


Visa Sponsorship

We welcome exceptional talent from around the world and are open to supporting visa sponsorship whenever possible.


Compensation

We value world-class talent and compensate accordingly.

Benefits

  • Company-sponsored health coverage
  • Competitive equity package
  • Flexible work arrangements
  • Conference and research travel support
  • Access to leading quantum and AI research communities

Connection

Regular team retreats, technical workshops, and collaborative research sessions.

Time Off

Unlimited PTO. We trust exceptional people to manage their time responsibly.

Compensation

Base Salary: $150,000 – $300,000 USD

Compensation is determined based on experience, expertise, and expected impact.

In addition to salary, we offer meaningful equity ownership so every team member can participate in the value they help create.


Equal Opportunity

Heisenberg Research is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of race, ethnicity, gender, sexual orientation, disability, age, religion, or background.

We believe that diverse perspectives accelerate scientific discovery and technological innovation.


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