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Ideal candidates will have experience building software systems and curiosity about advancing the state-of-the-art in applications of HPC and GPUs to the quantum computing ecosystem.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Researching and developing and optimizing GPU accelerated algorithms across multiple hardware generations</li>\n<li>Developing innovative HPC algorithms to scale quantum circuit simulations</li>\n<li>Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, HPC technologies, and machine learning</li>\n<li>Interacting with external partners and researchers to understand their use cases and requirements</li>\n<li>Providing technical leadership and guidance to other engineers</li>\n<li>Analyzing the performance of GPU, CPU, multi-GPU/multi-node implementations, finding opportunities for algorithmic or implementation-based improvements</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>Excellent C++ and Python programming and software design skills, including functional and performance test design</li>\n<li>Experience programming for GPUs, in a multi-threading and multi-node MPI programming model, and expertise in hardware-aware optimization</li>\n<li>Experience with agentic coding tools</li>\n<li>Demonstrated ability developing scientific software used in quantum simulations (e.g., circuit simulators, compilers, hybrid-computing)</li>\n<li>PhD or MSc degree in Computer Science, Applied Math, Physics, or related science or engineering field (or equivalent experience)</li>\n<li>8+ years of experience</li>\n<li>Strong collaboration, communication, and documentation skills</li>\n</ul>\n<p>Preferred qualifications include:</p>\n<ul>\n<li>Experience using one or more quantum computing and deep learning frameworks (e.g., Qiskit, Cirq, Pennylane, TNQVM, TensorFlow, PyTorch)</li>\n<li>Proven experience with HPC technologies and communication algorithms</li>\n<li>Expertise in numerical methods, Hamiltonian integrals, quantum simulation techniques</li>\n<li>Experience working in an agile software development environment within a globally distributed organization</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3fd7ef4e-3e0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://www.nvidia.com/","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Quantum-Computing-Libraries-Engineer_JR2012496","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["C++","Python","GPU programming","MPI programming model","Hardware-aware optimization","Agentic coding tools","Scientific software development","Quantum simulations"],"x-skills-preferred":["Quantum computing frameworks","HPC technologies","Communication algorithms","Numerical methods","Hamiltonian integrals","Quantum simulation techniques"],"datePosted":"2026-04-24T12:15:20.089Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santa Clara"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C++, Python, GPU programming, MPI programming model, Hardware-aware optimization, Agentic coding tools, Scientific software development, Quantum simulations, Quantum computing frameworks, HPC technologies, Communication algorithms, Numerical methods, Hamiltonian integrals, Quantum simulation techniques"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d5390946-539"},"title":"Software Engineer, Model Inference","description":"<p><strong>Software Engineer, Model Inference</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Scaling</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$295K – $555K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the Team</strong></p>\n<p>Our Inference team brings OpenAI’s most capable research and technology to the world through our products. We empower consumers, enterprise and developers alike to use and access our start-of-the-art AI models, allowing them to do things that they’ve never been able to before. We focus on performant and efficient model inference, as well as accelerating research progression via model inference.</p>\n<p><strong>About the Role</strong></p>\n<p>We are looking for an engineer who wants to take the world&#39;s largest and most capable AI models and optimize them for use in a high-volume, low-latency, and high-availability production and research environment.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Work alongside machine learning researchers, engineers, and product managers to bring our latest technologies into production.</li>\n</ul>\n<ul>\n<li>Work alongside researchers to enable advanced research through awesome engineering.</li>\n</ul>\n<ul>\n<li>Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our model inference stack.</li>\n</ul>\n<ul>\n<li>Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues.</li>\n</ul>\n<ul>\n<li>Optimize our code and fleet of Azure VMs to utilize every FLOP and every GB of GPU RAM of our hardware.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have an understanding of modern ML architectures and an intuition for how to optimize their performance, particularly for inference.</li>\n</ul>\n<ul>\n<li>Own problems end-to-end, and are willing to pick up whatever knowledge you&#39;re missing to get the job done.</li>\n</ul>\n<ul>\n<li>Have at least 5 years of professional software engineering experience.</li>\n</ul>\n<ul>\n<li>Have or can quickly gain familiarity with PyTorch, NVidia GPUs and the software stacks that optimize them (e.g. NCCL, CUDA), as well as HPC technologies such as InfiniBand, MPI, NVLink, etc.</li>\n</ul>\n<ul>\n<li>Have experience architecting, building, observing, and debugging production distributed systems. 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