NVIDIA

Software Engineer, CUDA-Q

California, United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Quantum Computing, Semiconductors, Software DevelopmentIndustries

Software Engineer, Quantum Computing

Position Overview

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 GPU-programming and compilers that 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 relish the chance to impact the future of the industry, this role may be perfect for you.

What You'll Be Doing

  • Contributing to the development of CUDA Quantum by building core infrastructure for inter-device communication and efficient execution across multiple processors.
  • Partnering with architects, product managers, and collaborators to create an extensible toolchain integrating quantum architecture specific components.
  • Solving difficult problems at the intersection of compilers, HPC and quantum computing to enable ground-breaking research and technology.
  • Discussing and refining software designs and implementation strategies with peers.
  • Improving processes and infrastructure to accelerate our development.

Requirements

  • Bachelors Degree in Computer Science, Physics or related engineering field (Ph.D. or Masters preferred), or equivalent experience.
  • 5+ years of experience.
  • Ability working on large-scale software projects, and a proven track record of building performant and robust production software.
  • Proficiency in GPU-programming and a solid understanding of performance profiling, multi-processor systems, and compiler fundamentals.
  • Ability to quickly develop expertise in new domains and products, and eagerness to master new challenges.
  • Strong communication and collaboration skills.

Ways To Stand Out From The Crowd

  • Extensive knowledge about quantum computing hardware and control systems and/or prior experience implementing optimization and code generation components for various quantum computing architectures.
  • A passion for system designing and a focus on improving extensibility.
  • Familiarity with FPGA programming and HDLs.
  • Deep understanding of compiler toolchains, specifically LLVM/MLIR.

Company Information

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!

Application Instructions

NVIDIA accepts applications on an ongoing basis.

Compensation and Benefits

  • Salary: The base salary range is $148,000 USD - $287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
  • You will also be eligible for equity and benefits.

Equal Opportunity Employer

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.

Skills

CUDA-Q
GPU programming
Compiler development
Parallel programming
Distributed programming
HPC
Quantum computing
Performance profiling
Multi-processor systems
Software design
Software infrastructure

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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