About The Position

Within Infleqtion’s Quantum Computing Product Group, we are seeking a Senior Embedded Software Engineer to develop high-performance software systems that integrate classical computing resources with next-generation quantum hardware. You will collaborate across quantum and classical domains to design, implement, and improve performance-critical software that orchestrates computation and data movement across CPUs, GPUs, FPGAs, high-speed interconnects, and quantum systems. You will work closely with engineers and scientists across software and hardware boundaries to enable scalable quantum computing. Prior quantum-computing experience is valuable but not required; relevant backgrounds include high-performance computing, distributed systems, scientific, embedded, or other performance-critical computing applications.

Requirements

  • A Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Physics, or a related technical field, or equivalent practical experience.
  • 5+ years of professional embedded software development experience, or equivalent demonstrated experience developing complex technical systems.
  • Strong programming experience in one or more systems or scientific-computing languages such as C++, C, Rust, or Python.
  • Experience developing software for performance-critical, distributed, embedded, scientific, or high-performance computing systems.
  • Strong software engineering fundamentals, including testing, debugging, version control, code review, and maintainable software design.
  • Experience working in Linux environments.
  • Ability to diagnose complex problems across multiple layers of a computing system.
  • Strong understanding of computer systems fundamentals, such as concurrency, memory, networking, data movement, latency, and throughput.
  • Ability to work effectively across engineering disciplines and communicate complex technical concepts clearly.
  • You do not need previous quantum-computing experience to be successful in this role. We are looking for exceptional software and systems engineers who are excited to learn the quantum domain.

Nice To Haves

  • Ability to learn quickly, reason about complex computing systems and turn difficult requirements into reliable software
  • High-performance computing (HPC) systems, supercomputing environments, or HPC job schedulers such as Slurm or PBS.
  • GPU or accelerator programming, including CUDA or similar programming models.
  • Distributed systems, high-performance networking, or low-latency communication.
  • RoCE, RDMA, high-speed Ethernet, InfiniBand, or other high-bandwidth interconnect technologies.
  • Heterogeneous computing involving CPUs, GPUs, FPGAs, or other accelerators.
  • Embedded Linux, firmware, device drivers, or hardware/software integration.
  • Performance profiling, benchmarking, modeling, and optimization.
  • Scientific computing, numerical computing, or research software.
  • Real-time or latency-sensitive systems.
  • FPGA-accelerated computing.
  • Quantum computing, quantum control, quantum error correction, or quantum software frameworks such as CUDA-Q.
  • Developing software in R&D or rapid-prototyping environments.
  • Collaborating with external scientific, academic, government, or technology partners.
  • Open-source software development.

Responsibilities

  • Designing, developing, testing, and maintaining high-quality software for high-performance quantum-classical computing systems.
  • Building software components and interfaces that coordinate computation across classical and quantum computing resources.
  • Developing systems that operate under demanding latency, throughput, bandwidth, and reliability requirements.
  • Integrating software with heterogeneous computing platforms including CPUs, GPUs, FPGAs, accelerators, and high-speed networking or interconnect technologies.
  • Analyzing system performance, identifying bottlenecks, and improving scalability and reliability.
  • Developing tools, benchmarks, test infrastructure, and observability capabilities for complex computing systems.
  • Troubleshooting challenges spanning applications, operating systems, drivers, runtimes, networking, firmware, and hardware.
  • Collaborating with software engineers, physicists, electrical engineers, systems engineers, external technology partners, and researchers to develop new computing capabilities.
  • Writing maintainable, well-tested software and contributing to code reviews, design reviews, and technical documentation.
  • Providing technical guidance and mentorship to other engineers.
  • Rapidly evaluating and prototyping new technologies as the quantum and high-performance computing ecosystem evolves.

Benefits

  • Eligibility to participate in our annual incentive plan.
  • 100% company paid Employee coverage for Medical, Dental, Vision, and Short/Long Term Disability insurance programs
  • Employer funded Health Savings Account
  • Unlimited Paid Time Off
  • 401(k) Matching Programs
  • Company paid Life and AD&D Insurance
  • Flexible Healthcare Savings Account
  • Paid FMLA Leave
  • Paid Maternity/Paternity Leave
  • Employer Assistance Program
  • Student Loan Repayment
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