NVIDIA Corporation

Senior AI Compiler Engineer - Applied Research

NVIDIA Corporation • $152K — $241K *
US-AnywhereRemote in Remote, OR
Information Technology
5 - 7 years of experience
Reposted Today
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Job Overview by Ladders

Qualifications

  • M.S./PhD in Computer Engineering, Computer Science, or related field (or equivalent experience)
  • 5+ years of experience in building AI/ML systems
  • Strong software engineering skills in Python and C++ (preferred)
  • Hands-on experience with training/fine-tuning large models (e.g., Transformers)
  • Solid understanding of machine learning fundamentals and experimentation practices
  • Experience with reinforcement learning techniques
  • Knowledge of prompt-engineering techniques
  • Ability to traverse research and engineering phases from prototype to production

Responsibilities

  • Trailblaze AI applications within traditional compilation pipelines
  • Design and implement AI technologies for low-level GPU programming
  • Build supervised fine-tuning and reinforcement learning training pipelines
  • Define model inputs and outputs over low-level compiler representations
  • Develop frameworks to evaluate code quality and runtime efficiency
  • Engage in intelligent prompt engineering based on domain tasks
  • Collaborate with compiler engineers to integrate learned policies into production

Benefits

  • Eligibility for equity
  • Access to comprehensive health benefits
  • Opportunities for professional development and training programs
  • Flexible working arrangements
  • Supportive work environment encouraging innovation
Full Job Description
NVIDIA's GPUs are at the core of modern AI infrastructure, from training large-scale models to running inference in production. That position depends on software as much as hardware, and compiler engineering is a big part of what makes it work.

We are looking for outstanding AI Research Engineer /Applied Scientist focused on Compilers /Low-level optimization to join the team and develop groundbreaking technologies in machine learning compilers and AI systems. We build innovative AI compiler solutions that work together with NVIDIA's software stack to provide comprehensive acceleration for modern machine learning models.

What you'll be doing:
  • Help trailblaze company efforts in applying AI within conventional compilation pipelines.
  • Design and implement AI-based technology addressing core problems of low-level GPU programming.
  • Build training pipelines for supervised fine-tuning and reinforcement learning (RL/RLHF-style or policy optimization variants).
  • Define model inputs/outputs over compiler low level compiler representations.
  • Develop evaluation frameworks to measure code quality, runtime, compile-time overhead, and correctness.
  • Intelligent (domain` task based) prompt engineering.
  • Collaborate with compiler engineers to integrate learned policies into production toolchains.
  • Prototype and iterate on model architectures, prompts, and fine-tuning strategies for scheduling and allocation tasks.
  • Create datasets from compiler traces, optimization passes, and target-specific performance signals.
  • Apply RL techniques to optimize for downstream objectives (performance, spill reduction, instruction-level parallelism, etc.) and run rigorous experiments, ablations, and benchmarking across workloads and hardware targets.


What we need to see:
  • M.S./PhD degree in Computer Engineering, Computer Science related technical field (or equivalent experience).
  • 5+ years of experience building AI/ML systems.
  • Strong software engineering skills in Python and at least one systems language (C++ preferred).
  • Hands-on experience training/fine-tuning large models (Transformers, PEFT/LoRA, distributed training).
  • Solid understanding of machine learning fundamentals and experimentation best practices.
  • Experience with reinforcement learning (e.g., policy gradients, actor-critic, offline RL, bandit-style optimization).
  • Knowledge of prompt-engineering techniques
  • Ability to work across research and engineering, from prototype to production.


Ways to stand out from the crowd:
  • Distributed training/inference at scale.
  • Experience working with the NVIDIA NeMo framework.
  • Understanding of GPU performance, experience with benchmarking suites and performance profiling tools.
  • Formal methods or static analysis familiarity for correctness guarantees.
  • CUDA programming experience.


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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 15, 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
Manufacturing & Automotive
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ
NVDA
* Ladders Estimates

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