NVIDIA

1 month ago

Principal Developer, AI Networking

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Lead profiling, analysis, and optimization of AI workloads on large-scale GPU/CPU clusters for distributed DL/LLM training and inference. Focus on high-performance networking, collectives libraries (NCCL), and cross-layer integration across hardware and software, delivering performance insights and co-design opportunities to accelerate AI workloads.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Characterize AI workloads and deep learning models for large-scale LLM training/inference on NVIDIA supercomputers with a focus on distributed systems and high-performance networking.
•Benchmark, profile, and analyze performance to identify bottlenecks and improvement opportunities, emphasizing networking aspects.
•Develop PyTorch trace-based profiling, analysis, and replay tooling to aid benchmarking, debugging, and co-design of network systems for LLM workloads.
•Collaborate with hardware and software teams to provide performance analysis insights across the stack.
•Define performance test plans and target performance for new technologies and solutions, driving achievement of performance goals.

Pay and Benefits

Salary: USD 272,000 - 488,750

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•B.Sc in Computer Science or Software Engineering or equivalent experience
•15+ years of experience with high-performance networking (RDMA, MPI, NCCL, SHARP)
•Experience with NVIDIA GPUs and the CUDA library; knowledge of TensorFlow or PyTorch
•Proficiency in Python, Bash, and C++
•Experience with a container-based development environment

Experience:15+ yearsHigh-performance networkingDistributed systemsAI/LLM benchmarking

Education:Bachelor's

Skills:CommunicationProblem-solvingTeamwork

Tech Stack:PythonC++CUDANVIDIA CUDANCCLPyTorchMPIRDMARoCEDockerKubernetes

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

1 month ago

Principal Developer, AI Networking

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Characterize AI workloads and deep learning models for large-scale LLM training/inference on NVIDIA supercomputers with a focus on distributed systems and high-performance networking.
•Benchmark, profile, and analyze performance to identify bottlenecks and improvement opportunities, emphasizing networking aspects.
•Develop PyTorch trace-based profiling, analysis, and replay tooling to aid benchmarking, debugging, and co-design of network systems for LLM workloads.
•Collaborate with hardware and software teams to provide performance analysis insights across the stack.
•Define performance test plans and target performance for new technologies and solutions, driving achievement of performance goals.

Pay and Benefits

Salary: USD 272,000 - 488,750

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•B.Sc in Computer Science or Software Engineering or equivalent experience
•15+ years of experience with high-performance networking (RDMA, MPI, NCCL, SHARP)
•Experience with NVIDIA GPUs and the CUDA library; knowledge of TensorFlow or PyTorch
•Proficiency in Python, Bash, and C++
•Experience with a container-based development environment

Experience:15+ yearsHigh-performance networkingDistributed systemsAI/LLM benchmarking

Education:Bachelor's

Skills:CommunicationProblem-solvingTeamwork

Tech Stack:PythonC++CUDANVIDIA CUDANCCLPyTorchMPIRDMARoCEDockerKubernetes

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