Senior Embedded Software Engineer for Quantum-HPC Systems

Infleqtion; Chicago (IL); On-site; USD 165,000 - 225,000; Full time

Benefits offered by this job

100% company paid Medical, Dental, Vis

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

Job summary

Infleqtion’s Quantum Computing Product Group is seeking a Senior Embedded Software Engineer to develop high-performance software that integrates classical computing with quantum hardware, based in Chicago, IL.

You will collaborate across quantum and classical domains to design and implement latency-sensitive software that orchestrates computation across CPUs, GPUs, FPGAs, and interconnects, with mentoring and code reviews across teams.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Physics, or related field or equivalent practical experience.
• 5+ years of embedded software development experience.
• Strong programming experience in 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.

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.

Skills

Embedded software development

C++

C

Rust

Python

Linux

Performance optimization

Concurrency

Distributed systems

Hardware/software integration

Testing & debugging

Version control

Code reviews

Education

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Physics, or related field

Tools

CUDA

FPGA programming

Job description

Infleqtion’s Quantum Computing Product Group is seeking a Senior Embedded Software Engineer to develop high-performance software that integrates classical computing with quantum hardware, based in Chicago, IL.

You will collaborate across quantum and classical domains to design and implement latency-sensitive software that orchestrates computation across CPUs, GPUs, FPGAs, and interconnects, with mentoring and code reviews across teams.