Senior Software Engineer, Quantum Applied Research
NVIDIA Corporation
Redmond, WA, United States
8 days ago
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Apply on nvidia.wd5.myworkdayjobs.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$184,000.0 - $287,500.0
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
C++ (Programming Language)
Nvidia CUDA
Continuous Integration
Information Engineering
Data Infrastructure
Data Systems
Distributed Systems
Python (Programming Language)
Performance Tuning
Quantum Computing
+13 more
Scientific Computating
Software Engineering
Software Systems
High Performance Computing
Multi-Agent Systems
Backend
Kubernetes
Information Technology
Data Management
Machine Learning Operations
Data Pipelines
Golang
Data Generation
Job description
- Build and evolve scalable data platforms and interfaces that integrate heterogeneous system data, simulation outputs, AI model inputs/outputs, and application workflows.
- Design and implement agentic orchestration frameworks to support modeling, prediction, and coordination across complex computing systems.
- Develop synthetic data generation pipelines and supporting infrastructure for training, validation, and evaluation of AI-driven models.
- Implement robust data pipelines, storage systems, and APIs to support high-throughput, low-latency workloads across simulation and real-time environments.
- Collaborate closely with research and engineering teams to translate domain-specific models and system signals into performant, reliable systems.
Requirements
- BS, MS, or PhD in Computer Science, Engineering, Physics, or a related field (or equivalent experience).
- 10+ years of experience building and operating production-grade software systems, with strong fundamentals in data engineering and distributed systems.
- Working knowledge of quantum computing concepts and the ability to collaborate effectively with domain experts.
- Hands-on experience with backend and data technologies (e.g., Python, C++, Go, APIs, distributed services, and modern data platforms).
- Strong software engineering practices across testing, CI/CD, observability, and performance optimization.
Ways to stand out from the crowd:
- Experience building simulation or modeling platforms in scientific computing, physics, or hardware-software environments.
- Experience developing synthetic data pipelines or supporting AI/ML workflows at scale.
- Familiarity with agentic systems, orchestration frameworks, or AI-driven automation.
- Deeper exposure to quantum computing concepts, including hardware, control systems, or performance modeling.
- Experience with GPU acceleration, CUDA, or high-performance computing for large-scale workloads.
Benefits & conditions
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on nvidia.wd5.myworkdayjobs.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
LM
Luis Minvielle
over 2 years ago
LM
Luis Minvielle
The Fastest-Growing Tech Sectors to Look Out for in 2025
over 2 years ago
EM
Eli McGarvie
Highest Paying Tech Companies for Developers
over 3 years ago
IK
Igor Khokhriakov
How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again
23 days ago
LM
Luis Minvielle
How to Become an AI Engineer
almost 3 years ago
CS
Christina Schaireiter
Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence
3 months ago