Software Engineer, CUDA-Q Libraries

Software Engineer, CUDA-Q Libraries at NVIDIA
Software Engineer, CUDA-Q Libraries
Location: US, CA, Remote, US, TX, Remote, US, WA, Remote, US, MA, Remote
Time Type: Full time
Job Description
NVIDIA's Quantum Computing team is searching for an outstanding software engineer to build the toolchain of the future. Join us in developing the CUDA-Q platform for programming powerful hybrid quantum-classical multi-processor systems. We are looking for a dedicated engineer with expertise in real-time systems, GPU programming, and proficiency in parallel and distributed programming. Are you creative, always looking to come up with innovative solutions, and eager to apply your skills to advance a novel field of computing? If you love the craft of software engineering and high-performance algorithm implementation and relish the chance to impact the future of the industry, this role may be perfect for you.
What You'll Be Doing:
– Develop analysis libraries and tools to characterize QEC codes and parameters for a variety of quantum applications
– Identifying, implementing, and productizing AI and algorithmic real-time decoding algorithms in collaboration with NVIDIA's Applied Research team
– Contributing to the development of CUDA Quantum libraries by building AI training infrastructure for the CUDA-Q Quantum Error Correction (QEC) library
– Developing real-time hardware and software interfaces for the heterogenous quantum/classical computing enabled by CUDA Quantum
– Developing and improving CI/CD pipelines for new and existing products to ensure high product quality
– Continually benchmarking and improving workflows for researchers and partners
– Improving processes and infrastructure to accelerate our development
What We Need To See:
– Bachelors Degree (or equivalent experience) in Computer Science, Physics or related engineering field with 3+ years of relevant work experience; Ph.D. or Masters preferred.
– C/C++ proficiency is required
– Proficiency in algorithm analysis and implementation on heterogenous systems including CPUs, GPUs, and FPGAs.
– Ability to quickly develop expertise in new domains and products, and eagerness to master new challenges
– Strong communication and collaboration skills
Ways To Stand Out From The Crowd:
– Experience with quantum computing hardware and control systems
– Domain knowledge of Quantum Error Correction and/or prior experience implementing decoding algorithms
– A demonstrated history of software optimizations of real-time systems and a focus on improving extensibility
– Previous experience updating and maintaining CI/CD pipelines in GitHub, GitLab, and Jenkins
NVIDIA is widely considered to be one of high technology's most desirable employers. Our inventions have revolutionized parallel computing and our GPUs are being used in many of the largest high-performance computing projects around the world. We have some of the most forward-thinking and experienced people in the world working for us. Our goal is to create an environment where we can do our life's best work. If you're creative, autonomous, and highly motivated, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until February 6, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.