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Senior Ibm Quantum Computing Jobs in California (NOW HIRING)

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Senior Ibm Quantum Computing information

What is the difference between Senior Ibm Quantum Computing vs Quantum Software Engineer?

AspectSenior Ibm Quantum ComputingQuantum Software Engineer
Required CredentialsAdvanced degrees in physics, computer science, or related fields; experience with quantum algorithmsDegree in computer science, software engineering, or related; programming skills in Python, Qiskit
Work EnvironmentResearch labs, corporate R&D, collaboration with physicists and engineersSoftware development teams, tech companies, research institutions
Industry UsageQuantum computing research, hardware development, applied quantum algorithmsQuantum algorithm development, software simulation, application deployment

The main difference is that Senior Ibm Quantum Computing roles focus on research and development of quantum hardware and algorithms, often requiring advanced physics knowledge. Quantum Software Engineers primarily develop and implement quantum algorithms using programming skills, working within software teams. Both roles overlap in quantum computing but differ in focus and skill set.

What are the most commonly searched types of Ibm Quantum Computing jobs in California?

The most popular types of Ibm Quantum Computing jobs in California are:

What are popular job titles related to Senior Ibm Quantum Computing jobs in California?

For Senior Ibm Quantum Computing jobs in California, the most frequently searched job titles are:

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The top searched job categories for Senior Ibm Quantum Computing jobs in California are:

What cities in California are hiring for Senior Ibm Quantum Computing jobs?

Cities in California with the most Senior Ibm Quantum Computing job openings:

Senior Quantum Computing Libraries Engineer

NVIDIA

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Re-posted 26 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies


Job description

Job Summary:
NVIDIA is a leader in accelerated computing, and they are seeking a Senior Quantum Computing Libraries Engineer to develop and optimize software for quantum computing and simulations. The role involves researching GPU accelerated algorithms, collaborating with various teams, and providing technical leadership.
Responsibilities:
• Researching and developing and optimizing GPU accelerated algorithms across multiple hardware generations
• Develop innovative HPC algorithms to scale quantum circuit simulations
• Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, HPC technologies, and machine learning
• Interacting with external partners and researchers to understand their use cases and requirements
• Providing technical leadership and guidance to other engineers
• Analyzing the performance of GPU, CPU, multi-GPU/multi-node implementations, finding opportunities for algorithmic or implementation-based improvements
Qualifications:
Required:
• Excellent C++ and Python programming and software design skills, including functional and performance test design
• Experience programming for GPUs, in a multi-threading and multi-node MPI programming model, and expertise in hardware-aware optimization
• Experience with agentic coding tools
• Demonstrated ability developing scientific software used in quantum simulations (e.g., circuit simulators, compilers, hybrid-computing)
• PhD or MSc degree in Computer Science, Applied Math, Physics, or related science or engineering field (or equivalent experience)
• 8+ years of experience
• Strong collaboration, communication, and documentation skills
Preferred:
• Experience using one or more quantum computing and deep learning frameworks (e.g., Qiskit, Cirq, Pennylane, TNQVM, TensorFlow, PyTorch)
• Proven experience with HPC technologies and communication algorithms
• Expertise in numerical methods, Hamiltonian integrals, quantum simulation techniques
• Experience working in an agile software development environment within a globally distributed organization
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993