ORCA Computing Ltd

We are seeking a highly skilled and motivated Senior Software Engineer to join our Product Development Team to drive the development of software bridging the gap between cutting-edge quantum computing hardware and data center infrastructure. This role is ideal for someone with deep experience in low-level programming, hardware-software integration, and high-performance systems to develop solutions at the intersection of quantum control systems, classical compute orchestrations, and high-throughput data pipelines. You will work closely with hardware engineers and physicists to design and implement cutting edge solutions for scalable, low latency systems that enable real time quantum-classical integration. Key Responsibilities Design, develop, and optimize software in C++ and/or Rust for quantum control systems. Develop low-latency interfaces between quantum hardware and classical compute. Collaborate with hardware teams to integrate software with FPGAs and high-speed digital electronics. Develop and maintain firmware and drivers for custom hardware platforms. Analyze and optimize system performance, including latency, throughput, and resource utilization. Participate in system architecture design and contribute to technical decision-making. Conduct code reviews, mentor junior engineers, and promote best practices in software development. Collaborate with cross functional teams including physicists and engineers to ensure seamless integration of hardware and software components for robust product software systems. Ensure system reliability, fault tolerance, and performance in a data center environment. Required Qualifications Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Physics, or related field. 5+ years of professional experience in software development, with a focus onC++ and/or Rust. Strong understanding ofFPGA architectures, toolchains (e.g., Xilinx Vivado, Intel Quartus), and hardware description languages (VHDL/Verilog). Experience with high-speed data center and GPU interfaces (e.g., PCIe, Ethernet, Infiniband, Tofu). Proficiency in debugging and performance profiling for embedded and high-performance systems. Preferred Qualifications Interest or experience with quantum computing, physics or scientific instruments Experience with integrating hardware systems into on-prem data center environments. Experience working in research driven or deep tech environments Knowledge of signal processing, data acquisition systems, timing synchronization, or RF electronics. If you're interested in job opportunities at ORCA Please email us . Ensure the subject line clearly states the role you are applying for or inquiring about, and kindly attach your CV.

Reporting to the Head of Applications and Software, as a Machine Learning Scientist you will be advancing the state of the art in machine learning using novel computation hardware. You will be responsible for researching, developing and benchmarking existing and new algorithms and applications that leverage the unique capabilities of ORCA's quantum processors. Combining your knowledge of ML algorithms with benchmarking, applied use-cases and trends in machine learning, you will extend ORCA's competitive capabilities with our customers and in the marketplace. Key Responsibilities Research, implement and benchmark new machine learning algorithms that make use of ORCA's processors. Your focus will be on generative models (flow models, diffusion and GANs) and novel neural network architectures that make use of non-classical feature sets. In collaboration with clients and partners, map relevant problems to ORCA's hardware and deliver projects demonstrating how ORCA's technology can solve these problems. Contribute to ORCA's scientific leadership by publishing research and working with the legal team to protect the IP associated with your inventions. Contribute to ORCA's user-facing software stack by adding new algorithms, applications and examples Required qualifications, skills and experience Master's or PhD in a relevant field (physics, computer science, etc.) Expertise in machine learning, with in-depth understanding of flow matching, diffusion and/or GANs Excellent ML-oriented programming skills (Pytorch, Python, git) Experience developing and benchmarking new ML models Preferred technical skills and experience A publication track record in ML Experience working with multi-GPU models Industrial experience in ML applications for chemistry and biology Familiarity with the interplay between computing hardware and algorithms Experience working in front of and with customers Previous experience working in a start-up is desirable Knowledge of quantum computing Additional requirements Ability to work both autonomously and collaboratively Excellent communication skills - particularly in a commercial setting If you're interested in job opportunities at ORCA Please email us at . Ensure the subject line clearly states the role you are applying for or inquiring about, and kindly attach your CV.