Infleqtion is looking for a Senior Embedded Software Engineer to own and deliver high-performance embedded and systems software enabling real-time quantum error correction and classical control at scale. You will focus on integrating NVIDIA high-speed interconnects with quantum error-correction decoding pipelines, collaborating closely with quantum software, physics, and hardware teams.
What You'll Do
- Independently design, implement, validate, and maintain embedded and systems-level software subsystems supporting real-time quantum error correction and control.
- Translate quantum error-correction requirements into concrete classical compute, memory, and interconnect requirements.
- Design systems that meet deterministic latency, bandwidth, and reliability requirements across CPU, GPU, FPGA, and high-speed interconnect domains.
- Serve as the technical point-of-contact for NVIDIA NVQLink integration, including topology, bandwidth modeling, latency characterization, and failure modes.
- Collaborate closely with Quantum Software, Physics, Electrical, and Systems Engineering to co-design hardware/software interfaces.
- Troubleshoot and resolve complex performance, scaling, and integration issues spanning firmware, drivers, OS, GPU runtimes, and hardware.
- Develop and maintain validation infrastructure, performance benchmarks, and test harnesses for deterministic behavior and scaling.
- Provide informal mentorship through design reviews, code reviews, and technical guidance.
What We're Looking For
- A degree (PhD preferred) in Computer Engineering, Electrical Engineering, Computer Science, or a related field with experience in high-performance computing.
- Demonstrated experience owning complex embedded or systems-level software subsystems end-to-end.
- Strong experience with C/C++ in performance-critical systems.
- Experience debugging across software and hardware boundaries (drivers, firmware, interconnects, timing).
- Solid understanding of computer architecture fundamentals (memory hierarchies, interconnects, latency vs throughput tradeoffs).
- Experience with hardware/software co-design for quantum control systems.
- Experience working in Linux-based embedded or HPC environments.
- Familiarity with GPU programming models (CUDA or equivalent) at a systems level.
Nice to Have
- High-performance computing systems design or deployment.
- Familiarity with NVIDIA CUDA-Q.
- Direct experience with NVIDIA Holoscan Sensor Bridge, RDMA over Converged Ethernet, or similar high-speed coherent interconnects.
- Experience supporting or developing error-correction decoding pipelines (quantum or classical).
- Background similar to advanced academic research groups in quantum architectures or decoding.
- Experience performance-modeling compute systems as a function of problem size and algorithmic complexity.
- Exposure to FPGA-accelerated or heterogeneous compute systems.
- Detail-oriented mindset with a strong sense of ownership and technical accountability.
- Positive, collaborative working style and enthusiasm for mentoring and developing engineers.
Technical Stack
- C/C++
- Linux-based embedded/HPC environments
- GPU programming models (CUDA)
- NVIDIA NVQLink
- NVIDIA CUDA-Q
- NVIDIA Holoscan Sensor Bridge
- RDMA over Converged Ethernet
- FPGA-accelerated systems
Team & Environment
This is an individual contributor role within the Hardware Engineering Team of the Computing Product Group.
Benefits & Compensation
- Compensation: $140,000 to $175,000 annually plus eligibility for an annual incentive plan and an equity package.
- 100% company-paid Employee coverage for Medical, Dental, Vision, and Short/Long Term Disability insurance.
- 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.
- Equity Package.
Work Mode
This position is onsite.
Infleqtion is proud to be an Equal Employment Opportunity Employer.
