NVIDIA
Senior Engineer - Quantum Error Correction Libraries
$184K–$356K
US, CA, Santa Clara +5 · Senior · Full-time · Posted Aug 24, 2026
- Location
- US, CA, Santa Clara
US, DC, Remote
US, WA, Remote
US, CA, Remote
US, NY, New York
US, MA, Remote - Experience
- 8+ years of relevant research or software-development experience.
- Education
- PhD or MS degree in Computer Science, Applied Mathematics, Physics, Electrical Engineering, or a related scientific or engineering field, or equivalent experience.
About the job
Develop software libraries and GPU-accelerated algorithms to simulate quantum error-correction workloads at scale.
What you'll do
- Develop algorithms to accelerate QEC simulations and optimize them across GPU hardware generations.
- Collaborate with NVIDIA teams and external researchers to understand use cases and develop quantum computing software.
- Provide technical leadership and mentorship.
What they ask for
- Excellent modern C++ and Python programming skills, including debugging and functional and performance testing.
- Expert understanding of QEC and stabilizer formalism, plus strong understanding of noise models.
- Track record translating mathematical or research algorithms into robust, reusable, documented software.
- Strong communication and collaboration skills across research, engineering, and product teams.
Nice to have
- Proficiency in near-Clifford or stabilizer simulation; knowledge of QEC codes, procedures, or decoders.
- GPU software experience, distributed scaling experience, or familiarity with agentic or AI-supported development tools.
Pay
184,000 USD - 287,500 USD base salary (Level 4); 224,000 USD - 356,500 USD base salary (Level 5)
Tools
C++, Python, Stim, Qiskit Aer, PennyLane, Cirq, cuQuantum SDK, CUDA-Q
AI focus
Develops algorithms for quantum error-correction simulation. The posting also notes that NVIDIA uses AI tools in recruiting and identifies AI-supported development tools as a way to stand out.
Model-written summary · the original posting is authoritative