
Pioneering accelerated computing and AI
Senior Software Engineer - Inference as a Service
Compensation
$200,000 - $391,000
Benefits and perks
•Equity
Required skills
Python
Go
C
Kubernetes
Distributed systems
GPU resource management
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are seeking a Senior Software Engineer to join our Software Infrastructure Team in Santa Clara, CA. This team is at the heart of the NVIDIA AI Factory initiative, building and maintaining the core infrastructure that powers our closed and open source AI models. In this role, you will be a key contributor to our Inference as a Service platform, developing the systems that manage GPU resources, ensure service stability, and deliver high-performance, low-latency inference at a massive scale.
What you'll be doing:
-
Contribute to the design and development of a scalable, robust, and reliable platform for serving AI models for inference as a service.
-
Develop and implement systems for dynamic GPU resource management, autoscaling, and efficient scheduling of inference workloads.
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Build and maintain the core infrastructure, including load balancing and rate limiting, to ensure the stability and high availability of inference services.
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Implement APIs for model deployment, monitoring, and management for a seamless user experience.
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Collaborate with engineering teams to integrate deployment, monitoring, and performance telemetry into our CI/CD pipelines.
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Build tools and frameworks for real-time observability, performance profiling, and debugging of inference services.
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Work with architects to define and implement best practices for long-term platform evolution.
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Contribute to NVIDIA's AI Factory initiative by building a foundational platform that supports model serving needs.
What we need to see:
-
BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
-
12 years of software engineering experience with expertise in distributed systems or large-scale backend infrastructure.
-
Strong programming skills in Python, Go, or C with a track record of building production-grade, highly available systems.
-
Proven experience with container orchestration technologies like Kubernetes.
-
A strong understanding of system architecture for high-performance, low-latency API services.
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Experience in designing, implementing, and optimizing systems for GPU resource management.
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Familiarity with modern observability tools (e.g., Data Dog, Prometheus, Grafana, Open Telemetry).
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Demonstrated experience with deployment strategies and CI/CD pipelines.
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Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
Ways to stand out from the crowd:
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Experience with specialized inference serving frameworks
-
Open-source contributions to projects in the AI/ML, distributed systems, or infrastructure space.
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Hands-on experience with performance optimization techniques for AI models, such as quantization or model compression.
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Expertise in building platforms that support a wide variety of AI model architectures.
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Strong understanding of the full lifecycle of an AI model, from training to deployment and serving.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and passionate people on the planet working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD for Level 5, and 248,000 USD - 391,000 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until February 14, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.
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About NVIDIA

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
Employees
Santa Clara
Headquarters
$4.57T
Valuation
Reviews
10 reviews
4.4
10 reviews
Work-life balance
2.8
Compensation
4.5
Culture
4.2
Career
4.3
Management
3.8
78%
Recommend to a friend
Pros
Cutting-edge technology and innovation
Excellent compensation and benefits
Great team culture and collaboration
Cons
High pressure and expectations
Poor work-life balance and long hours
Fast-paced environment leading to burnout
Salary Ranges
79 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
7 reports
$170,275
total per year
Base
$130,981
Stock
-
Bonus
-
$155,480
$234,166
Interview experience
5 interviews
Difficulty
3.0
/ 5
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
Latest updates
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
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·
NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
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·
NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
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·
NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
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