NVIDIA

3 days ago

Senior Managed Runtime Compiler Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Improve execution efficiency across interpreters, managed-language runtimes, and JIT/AOT compilers for NVIDIA’s data-center CPU platforms. Partner with a compiler and runtime team to analyze execution paths (bytecode, VMs, GC, OS interactions), deliver measurable speedups for CPU agentic workflows, and collaborate on HW/SW co-design from pre-silicon through production support. Contribute optimizations to open source and internal stacks.

Location: Shanghai

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Partner with a distributed compiler and runtime team to accelerate workloads on NVIDIA Vera and Vera Rubin systems.
•Analyze execution paths across 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 and hardware/software teams to identify bottlenecks and deliver measurable speedups.
•Land optimizations in open source and internal software stacks, and participate in HW/SW co-design through launch, enablement, and production support.

Pay and Benefits

Equity and Bonus:Equity

Key Requirements

•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 with experience working in large production codebases.
•Deep understanding of managed runtime implementation techniques such as bytecode interpreters, JIT/AOT, 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 systematic analysis methods.

Experience:5+ years

Education:Bachelor's in Computer Science or Computer Engineering

Skills:Diagnosing complex issues

Tech Stack:CC++CompilerVirtual machineInterpreterRuntimeJITAOTBytecode interpreterProfilingDeoptimizationInline cachingGarbage collectionRuntime librariesPythonNode.jsJDKCPythonJavaScriptV8

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

3 days ago

Senior Managed Runtime Compiler Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Shanghai

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Partner with a distributed compiler and runtime team to accelerate workloads on NVIDIA Vera and Vera Rubin systems.
•Analyze execution paths across 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 and hardware/software teams to identify bottlenecks and deliver measurable speedups.
•Land optimizations in open source and internal software stacks, and participate in HW/SW co-design through launch, enablement, and production support.

Pay and Benefits

Equity and Bonus:Equity

Key Requirements

•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 with experience working in large production codebases.
•Deep understanding of managed runtime implementation techniques such as bytecode interpreters, JIT/AOT, 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 systematic analysis methods.

Experience:5+ years

Education:Bachelor's in Computer Science or Computer Engineering

Skills:Diagnosing complex issues

Tech Stack:CC++CompilerVirtual machineInterpreterRuntimeJITAOTBytecode interpreterProfilingDeoptimizationInline cachingGarbage collectionRuntime librariesPythonNode.jsJDKCPythonJavaScriptV8

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor