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Senior AI Infrastructure Software Engineer - DGX Cloud

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Senior AI Infrastructure Software Engineer - DGX Cloud
Company
NVIDIA
Location
- remote
- Santa Clara, CA
- Redmond, WA
- Seattle, WA
Type
Full-time
Posted
8/7/2026
Compensation
$184,000 - $356,500 per year
Job Description
Joining NVIDIA's DGX Cloud Lepton Team involves contributing to a leading cloud product that supports innovative AI research and development. The team focuses on building an AI/ML platform to enhance productivity and optimize the efficiency of AI workloads. As a senior AI infrastructure software engineer, you will design, build, and maintain AI platforms for large-scale training and inferencing. This role offers the chance to work with cutting-edge technologies in a supportive environment that values learning and growth.
Requirements
- Minimum of 8+ years of experience in developing software infrastructure for large scale AI systems.
- Bachelor's degree or higher in Computer Science or a related technical field.
- Strong debugging skills and experience in analyzing and triaging AI applications from the application level to the hardware level.
- Proven track record in building and scaling large-scale distributed systems.
- Experience with AI training and inferencing and data infrastructure services.
- Familiarity with Kubernetes and operating large-scale observability platforms for monitoring and logging.
- Proficiency in programming languages such as Golang, Python, C/C++, and scripting languages.
- Excellent communication and collaboration skills.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
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Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Responsibilities
- Develop platform and tools for large-scale AI, LLM, and GenAI infrastructure.
- Develop and optimize tools to improve AI/ML workload efficiency and resiliency.
- Root cause and analyze and triage failures from the application level to the hardware level.
- Enhance infrastructure and products underpinning NVIDIA's AI platforms.
- Co-design and implement APIs for integration with NVIDIA's resiliency stacks on the platform.
- Define meaningful and actionable reliability metrics to track and improve system and service reliability.


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Benefits
Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.
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Senior AI Infrastructure Software Engineer - DGX Cloud
NVIDIA
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At a glance
-
remote
-
Santa Clara, CA
-
Redmond, WA
-
Seattle, WA
-
Full-time
-
8/7/2026
-
$184,000 - $356,500 per year
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