NVIDIA Logo

NVIDIA

Software Engineer, CUDA-Q Libraries

Reposted 12 Days Ago
Be an Early Applicant
Remote
4 Locations
148K-288K
Senior level
Remote
4 Locations
148K-288K
Senior level
Develop and optimize CUDA-Q libraries for hybrid quantum-classical systems, collaborating with researchers and improving performance on complex algorithms.
The summary above was generated by AI

NVIDIA's Quantum Computing team is searching for an outstanding software engineer to build the toolchain of the future. Join us in developing the CUDA-Q platform for programming powerful hybrid quantum-classical multi-processor systems. We are looking for a dedicated engineer with expertise in real-time systems, GPU-programming, and is proficient in parallel and distributed programming. Are you creative, always looking to come up with innovative solutions, and eager to apply your skills to advance a novel field of computing? If you love the craft of software engineering and high-performance algorithm implementation, and relish the chance to impact the future of the industry, this role may be perfect for you.

What You'll Be Doing:

  • 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

What We Need To See:

  • Bachelors Degree (or equivalent experience) in Computer Science, Physics or related engineering field with 5+ 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

Ways To Stand Out From The Crowd:

  • Experience with quantum computing hardware and control systems

  • Domain knowledge of Quantum Error Correction and/or prior experience implementing decoding algorithms

  • A demonstrated history of software optimizations of real-time systems and a focus on improving extensibility

NVIDIA is widely considered to be one of high technology's most desirable employers. Our inventions have revolutionized parallel computing and our GPUs are being used in many of the largest high-performance computing projects around the world. We have some of the most forward-thinking and experienced people in the world working for us. Our goal is to create an environment where we can do our life's best work. If you're creative, autonomous, and highly motivated, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 29, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

C/C++
Distributed Programming
Gpu Programming
Parallel Programming

Similar Jobs

2 Hours Ago
In-Office or Remote
5 Locations
180K-200K
Senior level
180K-200K
Senior level
Cloud • eCommerce • Enterprise Web • Information Technology • Software
Lead a team of Enterprise Account Executives to drive revenue growth, manage sales strategy, and foster high performance in a fast-paced SaaS environment.
Top Skills: CRMSaaSSalesforce
2 Hours Ago
Remote
15 Locations
Entry level
Entry level
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Cybersecurity • Data Privacy
Join Rubrik's sales talent community to connect and be considered for future opportunities aimed at securing data against cyber threats.
2 Hours Ago
Remote
United States
125K-200K Annually
Mid level
125K-200K Annually
Mid level
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Cybersecurity • Data Privacy
The Global Alliances Manager will manage alliances, drive sales activities, and build relationships to enhance partner engagement and revenue generation.
Top Skills: Backup And RecoveryData ManagementData ProtectionStorage

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account