NVIDIASenior Cloud Software Engineer, Developer Tools
NVIDIA is hiring a Senior Cloud Software Engineer, Developer Tools in Santa Clara, United States. It pays $184k-$288k a year and Level rates it ; you can apply on NVIDIA.
Level's read on this job
- On Level's scale, this software engineer role is Builds AI ●●●●: the job is building AI systems.
- Pay on this posting starts 10% higher than the typical software engineer posting on Level.
- The posting mentions fine tuning among its tools and skills.
- Level classes it as a senior role.
- NVIDIA has 2,600+ other open roles on Level.
AI in this role
We are seeking a Senior Software Engineer to help build and improve AI Developer Tools connected through web APIs, SDKs, CLIs, and Agents. Apply your expertise with delivering user-focused cloud products that enable both rapid prototyping and the next generation of highly automated AI assisted CUDA development, from coding to profiling and performance fine-tuning.
In this role, you will architect cloud solutions that leverage NVIDIA microservices and frameworks as well as ground-breaking AI applications and research to integrate deeply with developers’ work flows, accelerate the full product lifecycle of plan, code, test, debug, profile and fine-tuning.
What you'll be doing:
Work closely with our Product and Design teams to define feature specifications and build the next generation of AI assisted coding and profiling services and skills.
Architect, design and develop high-performance, and responsive SaaS that improves developers’ workflows with AI, supporting a large number of concurrent developers with high scalability, reliability and cost efficiency.
Work with other engineering teams to align on corporate infrastructure strategies and help to improve or enhance existing services.
Mentor engineers and review code and design.
What we need to see:
B.S. (or equivalent experience) in Computer Science with 8 years of industry experience.
Experience in large-scale user-facing application development using web/cloud services.
Familiar with Kubernetes, Infrastructure as Code, AWS.
Experience with DevOps including CI/CD, monitoring and alerts.
Proficiency in Python.
Strong communication skills to collaborate with cross-functional partners.
Familiar with either Linux virtualization to run isolated GPU workloads in the cloud or GPU profiling, benchmark performance in a consistent and repeatable way.
Ways to stand out from the crowd:
Experience writing CUDA code and optimizing CUDA kernels.
Experience with Kata Container or any other VM-based container runtime.
With competitive salaries and benefits, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you are enthusiastic about empowering new programmers to excel and experienced accelerated computing users to redefine an industry, this is the role for you!
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 184,000 USD – 287,500 USD.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.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.How we rate this
Senior Cloud Software Engineer, Developer Tools at NVIDIA rates 83 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- This job starts at
- $184k
- Typical software engineer job
- $168k
This posting starts 10% above the typical software engineer job. See software engineer jobs
Questions you could be asked
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: Fine-tuning. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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