Software Engineer, CUDA-Q Libraries

Job not on LinkedIn

September 5

🍂 Massachusetts – Remote

Although this job is listed in Massachusetts, this company may be open to hiring remote in other states.

🤠 Texas – Remote

Although this job is listed in Texas, this company may be open to hiring remote in other states.

+1 more states

🍂 Massachusetts – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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NVIDIA

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Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

📋 Description

• Identifying 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 • Solving difficult problems at the intersection of HPC and quantum computing to enable ground-breaking research and technology • Improving processes and infrastructure to accelerate our development

🎯 Requirements

• Bachelors Degree (or equivalent experience) in Computer Science, Physics or related engineering field with 8+ 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 • Experience building performant and robust production software on large-scale hardware and software projects • Strong communication and collaboration skills

🏖️ Benefits

• eligible for equity and benefits