We are now seeking a Senior Managed Runtime Compiler Engineer with strong performance engineering, compiler, virtual machine, interpreter, and runtime experience to join our Compiler Team. We craft compiler and runtime technology that realize the potential of NVIDIA's CPUs built for the world's largest data centers: https://www.nvidia.com/en-us/data-center/vera-cpu/. These platforms power AI, HPC, cloud, and other demanding workloads worldwide.

In this role, you will improve execution efficiency across interpreters, JIT and AOT compilers, virtual machines, runtimes, libraries, and application stacks. The initial focus is CPU Agentic workflows and managed languages such as Python and Node.js; over time, work may span JDK, CPython, JavaScript/V8, or other VM and compiler efforts.

You will tackle hard engineering problems alongside a team spanning compilers, runtimes, programming languages, CPU architecture, and systems software. Our compiler organisation shapes performance on every CPU, GPU, DPU, and SoC that NVIDIA builds.

What you'll be doing:

• Partner with a distributed team of compiler and runtime engineers to accelerate workloads on NVIDIA Vera and Vera Rubin systems.
• Analyze execution paths spanning interpreters, bytecode, JIT/AOT compilers, VMs, garbage collection, runtime libraries, and OS interactions.
• Investigate CPU Agentic application stacks, including Python, Node.js, Java, and related frameworks.
• Work with application performance, CPU architecture, compiler, runtime, and product teams to find bottlenecks and deliver measurable speedups.
• Land optimizations in open source projects and internal NVIDIA software stacks.
• Participate in HW/SW co-design from pre-silicon analysis through launch, customer enablement, and production support.

What we need to see:

• Bachelor's, Master's, Ph.D. or equivalent experience in Computer Science, Computer Engineering, or a related field.
• 5+ years of production software development experience in compilers, language runtimes, virtual machines, interpreters, performance engineering, or related systems software.
• Excellent hands-on C/C++ programming skills and experience working in large production codebases.
• Deep understanding of managed runtime implementation techniques, such as bytecode interpreters, JIT or AOT compilation, profiling, deoptimization, inline caching, garbage collection, runtime libraries, or VM services.
• Hands-on experience analyzing and improving application performance using profilers, tracing, benchmarking, hardware performance counters, or other systematic analysis methods.
• Strong software design fundamentals and the ability to diagnose complex issues and deliver production-quality optimizations.

Ways to stand out from the crowd:

• Direct contribution experience with JDK, HotSpot, Graal, OpenJ9, CPython, PyPy, Google V8, Node.js, LLVM, GCC, or another production compiler/runtime project.
• Deep knowledge of Java, Python, JavaScript, or other language runtime internals.
• Experience optimizing workloads on ARM, especially SVE/SVE2, Neon, memory hierarchy, synchronization, or NUMA-sensitive systems.
• Track record of upstream open source contributions, technical leadership, mentoring, or cross-team initiatives.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most brilliant and hardworking people in the world working for us. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. You will also be eligible for equity and benefits.

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.