Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Principal Software Engineer Inference as a Service.
United States Jobs Expertini

Urgent! Principal Software Engineer - Inference as a Service Job Opening In Santa Clara – Now Hiring NVIDIA

Principal Software Engineer Inference as a Service



Job description

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 Principal 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 leader in designing and developing our Inference as a Service platform, creating 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:
+ Lead the design and development of a scalable, robust, and reliable platform for serving AI models for inference as a service.
+ Architect and implement systems for dynamic GPU resource management, autoscaling, and efficient scheduling of inference workloads.
+ Build and maintain the core infrastructure, including load balancing and rate limiting, to ensure the stability and high availability of inference services.
+ Define and implement APIs for model deployment, monitoring, and management for a seamless user experience.
+ Optimize system performance and latency for various model types, from large language models (LLMs) to computer vision models, ensuring high-throughput and responsiveness.
+ Collaborate with engineering teams to integrate deployment, monitoring, and performance telemetry into our CI/CD pipelines.
+ Develop tools and frameworks for real-time observability, performance profiling, and debugging of inference services.
+ Drive architectural decisions and best practices for long-term platform evolution and scalability.
+ Contribute to NVIDIA's AI Factory initiative by building a foundational platform that supports model serving needs.



What we need to see:
+ 15+ years of software engineering experience with deep expertise in distributed systems or large-scale backend infrastructure.
+ BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
+ 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 deep understanding of system architecture for high-performance, low-latency API services.
+ Experience in designing, implementing, and optimizing systems for GPU resource management.
+ Familiarity with modern observability tools (e.g., DataDog, Prometheus, Grafana, OpenTelemetry).
+ Demonstrated experience with deployment strategies and CI/CD pipelines.
+ Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.



Ways to stand out from the crowd:
+ Experience with specialized inference serving frameworks.
+ Open-source contributions to projects in the AI/ML, distributed systems, or infrastructure space.
+ Hands-on experience with performance optimization techniques for AI models, such as quantization or model compression.
+ Expertise in building platforms that support a wide variety of AI model architectures.
+ 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 248,000 USD - 391,000 USD.





You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .







Applications for this job will be accepted at least until August 24, 2025.


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.




Required Skill Profession

Other General



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your Principal Software Potential: Insight & Career Growth Guide


  • Real-time Principal Software Jobs Trends in Santa Clara, United States (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Principal Software in Santa Clara, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 59478 jobs in United States and 1428 jobs in Santa Clara. This comprehensive analysis highlights market share and opportunities for professionals in Principal Software roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

  • Are You Looking for Principal Software Engineer Inference as a Service Job?

    Great news! is currently hiring and seeking a Principal Software Engineer Inference as a Service to join their team. Feel free to download the job details.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

  • The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at NVIDIA adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:
    • 1. Independence
    • 2. Loyalty
    • 3. Impartiality
    • 4. Integrity
    • 5. Accountability
    • 6. Respect for human rights
    • 7. Obeying United States laws and regulations
  • What Is the Average Salary Range for Principal Software Engineer Inference as a Service Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Santa Clara. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

  • What Are the Key Qualifications for Principal Software Engineer Inference as a Service?

    Key qualifications for Principal Software Engineer Inference as a Service typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.

  • How Can I Improve My Chances of Getting Hired for Principal Software Engineer Inference as a Service?

    To improve your chances of getting hired for Principal Software Engineer Inference as a Service, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

  • Interview Tips for Principal Software Engineer Inference as a Service Job Success
    NVIDIA interview tips for Principal Software Engineer   Inference as a Service

    Here are some tips to help you prepare for and ace your job interview:

    Before the Interview:
    • Research: Learn about the NVIDIA's mission, values, products, and the specific job requirements and get further information about
    • Other Openings
    • Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.
    • Dress Professionally: Choose attire appropriate for the company culture.
    • Prepare Questions: Show your interest by having thoughtful questions for the interviewer.
    • Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.
    During the Interview:
    • Be Punctual: Arrive on time to demonstrate professionalism and respect.
    • Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.
    • Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.
    • Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.
    • Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.
    • Follow Up: Send a thank-you email to the interviewer within 24 hours.
    Additional Tips:
    • Be Yourself: Let your personality shine through while maintaining professionalism.
    • Be Honest: Don't exaggerate your skills or experience.
    • Be Positive: Focus on your strengths and accomplishments.
    • Body Language: Maintain good posture, avoid fidgeting, and make eye contact.
    • Turn Off Phone: Avoid distractions during the interview.
    Final Thought:

    To prepare for your Principal Software Engineer Inference as a Service interview at NVIDIA, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the NVIDIA's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

  • How to Set Up Job Alerts for Principal Software Engineer Inference as a Service Positions

    Setting up job alerts for Principal Software Engineer Inference as a Service is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!