NVIDIA Logo

NVIDIA

Senior Compiler Engineer, Agentic Compiler Systems

Posted 2 Hours Ago
Be an Early Applicant
In-Office or Remote
4 Locations
152K-242K Annually
Senior level
In-Office or Remote
4 Locations
152K-242K Annually
Senior level
Design and build intelligent compiler systems, compiler-oriented agents, code transformation workflows, and numerical verification infrastructure. Develop systems for low-level IR reasoning, code generation, optimization, differential testing, regression detection, and correctness validation across GPU-centric workloads. Collaborate with compiler, CUDA, runtime, library, and hardware teams to integrate capabilities into NVIDIA products while optimizing performance, scalability, and numerical correctness.
The summary above was generated by AI

We are looking for an outstanding Senior Compiler Engineer to help build the next generation of intelligent compiler technologies for NVIDIA's accelerated computing stack. Our team works at the intersection of compilers, agentic systems, numerical correctness, and verification to create compiler systems that can reason about, generate, optimize, and validate code transformations across software and hardware boundaries.

In this role, you will help design and build advanced compiler and verification systems that improve developer productivity, system performance, and confidence in correctness. This includes developing compiler-oriented agents and workflows, building numerical validation and verification infrastructure, and co-designing with NVIDIA's compiler, runtime, library, and hardware teams to bring new capabilities into production tools and products.

What you'll be doing:

  • Design, build, and optimize intelligent low-level compiler systems, including compiler-oriented agents, multi-step transformation workflows, tool use, memory, and orchestration.

  • Develop systems that can reason about low-level IR, code generation, optimization passes, scheduling, numerical precision, and performance tradeoffs across GPU-centric workloads.

  • Build the data, environments, verification, reward, and evaluation systems needed to continuously improve compiler quality, numerical correctness, robustness, and performance.

  • Develop infrastructure for numerical validation, differential testing, regression detection, and correctness verification for generated or transformed code.

  • Co-design compiler and verification workflows across NVIDIA's software stack, spanning models and inference, compiler pipelines, runtimes, libraries, kernels, and GPUs.

  • Collaborate closely with internal compiler, CUDA, library, runtime, and hardware teams to integrate new compiler, agentic, and verification capabilities into NVIDIA products.

  • Drive performance analysis and optimization for generated or transformed code, with a strong focus on correctness, scalability, and real-world deployment.

What we need to see:

  • Bachelor's degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related field, or equivalent experience; MS or PhD preferred.

  • 5+ years of relevant industry or academic experience in compilers, AI systems, numerical computing, verification, high-performance computing, or related areas.

  • Strong hands-on experience in compiler implementation, program analysis, code generation, optimization, low-level performance engineering, or correctness infrastructure.

  • Experience in one or more of the following areas: agent systems, coding agents, compiler automation, numerical analysis, program verification, differential testing, or formal/semi-formal validation methods.

  • Strong C/C++ and Python programming skills, with solid software engineering fundamentals; experience with Rust is a plus.

  • Experience with GPU programming and performance optimization using CUDA or comparable accelerator platforms.

  • Ability to work effectively across system boundaries, from model-driven workflows and compiler infrastructure to runtime and hardware-aware optimization.

Ways to stand out from the crowd:

  • Track record of building high-impact compiler infrastructure, coding agents, verification frameworks, correctness tooling, or developer tools.

  • Deep expertise in low-level compiler stacks such as LLVM, MLIR, PTX, Triton, or other IR/codegen frameworks.

  • Experience building or optimizing AI-assisted compilation, numerical validation systems, equivalence checking, autotuning, or compiler verification workflows.

  • Deep expertise in GPU systems, numerical behavior, and performance optimization, demonstrated through benchmark results, deployed systems, publications, or widely used software.

  • Publications or open-source leadership in compilers, numerical computing, verification, formal methods, agentic AI, high-performance computing, AI systems, or programming systems.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.

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 September 21, 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.

NVIDIA Austin, Texas, USA Office

Austin, United States

Similar Jobs

One Month Ago
Remote
USA
295K-350K Annually
Mid level
295K-350K Annually
Mid level
Software
As a Compiler Engineer, you'll enhance compiler performance, support multiple operating systems, develop toolchains, ensure interoperability, and contribute to open source.
Top Skills: C++LlvmSwiftVscodeXcode
An Hour Ago
Remote or Hybrid
United States
Junior
Junior
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Serves as the primary field representative for OnStar, connected services, loyalty programs, and subscription offerings across assigned dealerships. Builds dealer relationships, coaches sales and service teams, delivers training, analyzes performance data, develops action plans, supports product launches, troubleshoots technology platforms, and improves customer onboarding and loyalty. Requires up to 90% travel within the assigned territory and frequent dealership visits.
Top Skills: Gm Mobile AppGoogle Built-InGoogle WorkspaceMS OfficeOnstarOver-The-Air UpdatesSuper Cruise
An Hour Ago
Remote or Hybrid
United States
Senior level
Senior level
Fintech • Software
Leads and grows a SaaS sales team and Global Capital Markets business. Responsibilities include recruiting and coaching sales talent, developing sales strategy, managing performance and forecasts, supporting client engagements, delivering sales enablement, optimizing CRM and sales processes, and collaborating with Product and Marketing to drive revenue growth.
Top Skills: Crm PlatformsSaaSSales Enablement Tools

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account