NVIDIA Corporation

Senior Systems Software Engineer, Machine Learning

NVIDIA Corporation$152K — $287K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Masters or PhD in Computer Science or related field, or equivalent experience
  • At least 5 years of relevant industry experience
  • Strong mathematical and algorithmic skills evidenced by research or substantial project work
  • Deep knowledge of computer vision and deep learning technologies
  • Proficient in Python and C/C++ programming languages
  • Robust software engineering principles and practices
  • Development experience in Unix/Linux environments
  • Strong communication skills to articulate complex ideas effectively
  • Proven collaboration skills to work within cross-functional teams.

Responsibilities

  • Transform research findings into functional products, not just documentation
  • Develop data workflows that enhance and diversify datasets
  • Rapidly deliver machine learning workflows and improve through fast iterations
  • Incorporate LLM/VLM technologies within data generation processes
  • Establish evaluation criteria and conduct thorough offline evaluations prior to model changes reaching production

Benefits

  • Eligibility for equity options
  • Comprehensive health benefits
  • Flexible work schedule
  • Opportunities for professional development
  • Access to cutting-edge AI tools and technologies
  • Supportive work environment promoting collaboration and innovation
Full Job Description
What you will be doing:
  • Convert research into real products (not just slide decks or notebooks)
  • Help build workflows that diversify datasets and/or populate data
  • Ship machine learning workflows/pipelines fast and iterate faster
  • Leverage LLM/VLM and agents in the data generation pipeline
  • Define evaluation criteria and run offline evals before any model or prompt change reaches production"


What we need to see:
  • Masters degree, or preferably a PhD degree in Computer Science or a related field or equivalent experience
  • 5+ years of experience
  • Solid mathematical and algorithmic foundation and proven expertise demonstrated through research publications, internships, or significant project experience.
  • Strong background in computer vision and deep learning.
  • Excellent programming skills in Python and C/C++.
  • Excellent software engineering fundamentals.
  • Ability to develop code in Unix/Linux environments.
  • Excellent written, visual, and verbal communication skills to present performance challenges, tradeoffs, and architectural alternatives.
  • Strong collaboration skills to partner with other teams.


Ways to stand out from the crowd:
  • Experience designing and operating multi-agent pipelines in production, including handling non-deterministic failures, retry logic, and tool-call error recovery"
  • Shipped a product feature backed by a VLM (e.g., image captioning, document understanding) - including handling inference latency, cost-per-call tradeoffs, and degraded-mode fallbacks
  • Shipped AI-powered features to real users - not just prototyped with agent frameworks. If your experience is primarily personal projects or hackathons, this role may not be the right fit yet.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 30, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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