Azure DevOps Engineer
New
NVIDIA
NewYou'll define system requirements for fault-tolerant quantum computing, develop real-time quantum error correction approaches, and translate product needs into hardware, software, and firmware specifications. This role requires five or more years of post-bachelor's experience with complex hardware-software systems and hands-on work with real qubits and quantum control software. The position is hybrid and offers a base salary of $152,000–$241,500 (Level 3) or $184,000–$287,500 (Level 4), plus equity and benefits.
Written from this posting by Neural Jobs AI. The full description is below.
Quantum computing is a strategic priority for NVIDIA, and our goal is to help accelerate the entire ecosystem. In this role, you’ll join a rapidly growing Quantum Computing team and work with internal and external teams to define system requirements to enable fault-tolerant quantum computing.
Do you love engineering complex systems for controlling a quantum computer and working at the speed of light with collaborative people and teams all around the world? If yes, we would love to hear from you!
What you'll be doing:
Collaborate with internal product, research, and engineering teams and external partners to define system requirements to enable fault-tolerant quantum computing
Develop novel approaches to real-time quantum error correction and calibration supported by rigorous systems analysis for a variety of qubit modalities
Distill product requirements to technical requirements across hardware, software, and firmware
Develop test cases supporting technical requirements and review test implementations for correctness and completeness
Adopt a culture of collaboration, rapid innovation, technical depth, and creative problem solving
What we need to see:
Bachelor’s degree in Physics, Electrical Engineering, Computer Science, Applied Mathematics, or related engineering field or equivalent experience. Higher degrees also welcome.
5+ overall years of post-bachelor’s experience including responsibility for engineering across multiple parts of a complex hardware and software system
Deep hands-on experience working with real qubits and quantum control systems software
Passion to drive technology innovations into NVIDIA software and hardware products to support Quantum Computing
Ways to stand out from the crowd:
Experience with design of quantum control systems and techniques, including communication and networking
Experience with development of real-time systems and embedded software
Knowledge of methods of benchmarking quantum computers
Adoption of AI and ML techniques
Experience with CUDA and NVIDIA GPUs
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Here is what this employer asked for. Sign in and we will fill in your half.
NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
182K – 275K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 66 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
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