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Quantum computing Jobs in San Jose, CA
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Quantum computing • san jose ca
- Promoted
High Performance Computing Software Engineer - Supercomputing
Institute of Foundation ModelsSunnyvale, CA, USHigh Performance Computing Software Engineer - Supercomputing
Institute Of Foundation ModelsSunnyvale, California, United StatesSenior Engineer, RTL Memory Centric Computing
Samsung SemiconductorSan Jose, California, USASenior Math Libraries Engineer, Post Quantum Cryptography
IACRNVIDIA; Santa Clara, CA or Remote, USHPE Labs - Principal Research Scientist, Quantum Chemistry
Hewlett Packard EnterpriseMilpitas, California, United States- Promoted
Senior PR Manager, Quantum Computing and CAE
NVIDIASanta Clara, CA, United States- Promoted
Quantum Computing Research Scientist Intern
AmazonSanta Clara, CA, United States- Promoted
Senior Quantum Software Engineer
NVIDIA CorporationSanta Clara, CA, United StatesQuantum (superconducting) Intern
Cadence Design Systems, Inc.SAN JOSE- Promoted
Mathematics of Computing Research Intern - Summer 2026
IBMSan Jose, CA, United StatesResearch Director Virtual Client Computing
IDGRemote, CA- Promoted
Head of Software, AI & In-Memory Computing
TetramemSan Jose, California, United States- Promoted
Research Scientist Intern (Quantum Chemistry, ByteDance Research) - 2026 Start (PhD)
ByteDanceSan Jose, CA, United States- Promoted
Senior Quantum Systems Validation Engineer
PsiQuantumMilpitas, CA, United States- Promoted
AI & Visual Computing Research Intern
Futurewei TechnologiesSan Jose, CA, United StatesSummer 2026 Intern Quantum Computing
Western DigitalSan Jose, California, USAPhysicist / Scientist- Quantum Program
Applied MaterialsSanta Clara,CA- Promoted
Senior Hybrid Quantum Software Optimization Engineer
AinablSan Jose, CA, United StatesSoftware Manager, Machine Control & Distributed Computing
KLAMilpitas, California, USA- american sign language interpreter (from $ 70,941 to $ 551,925 year)
- investment banker (from $ 144,400 to $ 249,600 year)
- cardiothoracic surgeon (from $ 174,600 to $ 248,150 year)
- forensic pathologist (from $ 135,000 to $ 244,941 year)
- director of software engineering (from $ 183,000 to $ 240,000 year)
- psychiatrist (from $ 50,000 to $ 240,000 year)
- radiologist (from $ 57,103 to $ 238,613 year)
- chief investment officer (from $ 155,794 to $ 235,505 year)
- engineering director (from $ 151,059 to $ 235,000 year)
- product director (from $ 164,997 to $ 235,000 year)
The average salary range is between $ 105,456 and $ 174,200 year , with the average salary hovering around $ 140,000 year .
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High Performance Computing Software Engineer - Supercomputing
Institute of Foundation ModelsSunnyvale, CA, US- Full-time
Job Description
Job Description
About the Institute of Foundation Models
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
The Role
IFM is building the foundational compute infrastructure that will power tomorrow’s breakthroughs in AI and computational science. We’re looking for a High Performance Computing Software Engineer to help us design, develop, and operate the software systems that run our large-scale AI workloads.
In this role, you’ll work at the intersection of high-performance computing and machine learning. You’ll be part of a team responsible for crafting the software stack that enables training of cutting-edge ML models—spanning 1000+ GPUs—and ensuring our infrastructure is robust, performant, and developer-friendly.
Job Responsibilities
- Design and implement high-performance, distributed software solutions for large-scale AI / ML training.
- Optimize low-level system components including Linux kernel, GPU / accelerator kernels, and interconnects.
- Develop and tune communication libraries such as NCCL, MPI, UCX, RCCL, and RDMA-based systems.
- Partner with ML researchers and engineers to support frameworks like PyTorch, MegatronLM, and DeepSpeed in large-scale production environments.
- Contribute to our scheduling, orchestration, and job management systems, including Slurm and Kubernetes.
- Debug and resolve complex issues across the stack—from kernel to container to model.
- Work closely with hardware vendors, upstream open-source communities, and internal teams to drive performance and reliability improvements.
Skills & Experience
Visa Sponsorship
This position is eligible for visa sponsorship.
Benefits Include