68 gpu inference performance engineer jobs at 41 companies in United States

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Senior GPU Inference Performance Engineer
Santa Clara, California, United States
$144k-$246k/yr HybridFull Time
AMD
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
Hands-on GPU performance engineering experience; proficent in GPU profiling, distributed inference, AI serving frameworks, Python and C/C++; bachelor's degree preferred.
ROCm, rocProfiler, Omniperf, Omnitrace, CUDA, Nsight Systems, Nsight Compute, DCGM, vLLM, SGLang, FP8, MXFP4, INT4, AWQ, GPTQ, RDMA, RoCE, NCCL, RCCL, Pensando, ConnectX, Docker, containerd, Kubernetes, Python, C++, C, HIP, perftest, ib_write_bw, tcpdump
3d
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Inference Performance Engineer
San Francisco, California, United States
HybridFull Time
Adaption
Adaption: Develops efficient AI systems that adapt in real-time.
5+ YOE5+ years in ML systems, inference infrastructure, or performance engineering; model-serving expertise; Python and systems-language proficiency; and GPU performance experience with measurable cost or latency improvements.
vLLM, SGLang, TensorRT-LLM, Python, C++, Rust, CUDA, NCCL
2w
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Inference Performance Engineer, AI Inference Configuration Optimization
Santa Clara or United States
$124k-$242k/yr HybridFull Time
NVIDIA
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
3+ YOEBachelor's, master's, or doctoral degree in a related field or equivalent experience; 3+ years' engineering experience; GPU profiling, Python, C++/CUDA, and AI inference optimization expertise required.
TensorRT-LLM, SGLang, vLLM, Dynamo, Nsight Systems, Nsight Compute, CUPTI, PyTorch profiler, Python, C++, CUDA, FlashInfer, NCCL, NIXL, NVSHMEM, MLPerf Inference, SemiAnalysis InferenceX
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Inference Performance Engineer, AI Inference Configuration Optimization
Santa Clara or California
$124k-$242k/yr HybridFull Time
NVIDIA
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
3+ YOEBS, MS, PhD, or equivalent experience; 3+ years engineering experience; AI inference optimization expertise; GPU profiling; Python; C++/CUDA; reproducible benchmarking and strong communication.
TensorRT-LLM, SGLang, vLLM, Dynamo, Nsight Systems, Nsight Compute, CUPTI, PyTorch profiler, Python, C++, CUDA, FlashInfer, NCCL, NIXL, NVSHMEM, MLPerf Inference, SemiAnalysis InferenceX
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Inference Performance Engineer
New York, New York, United States
HybridFull Time
Material
Material: Specialized inference cloud platform for high-performance AI workloads.
BS in CS/EE or related field; proficiency in Rust/Go/Python/C++; knowledge of concurrency, tail latency; experience with model serving; GPU/ASIC programming; low-precision inference; profiling and benchmarking.
Rust, Go, Python, C++, vLLM, TensorRT-LLM, llama.cpp, CUDA, ROCm, Triton, TGI, SGLang, Nsight, perf
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Inference Optimization Engineer
Los Altos or United States or Canada
$198k-$286k/yr HybridFull Time
Modular
Modular: Unified software infrastructure and programming language for AI development.
5+ YOE5+ years in distributed systems or performance engineering; experience building reusable tooling; strong technical judgment, communication, and leadership; GPU/kernel, inference engine, Kubernetes, and LLM familiarity helpful.
GPU, ASIC, inference engine, Kubernetes, Modular Cloud, LLM architectures
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Machine Learning Performance Engineer - Offboard Training & Inference
Sunnyvale or Washington, D.C. or San Diego or Fort Walton Beach or Ann Arbor or London or Stuttgart or Munich or Stockholm or Bangalore or Seoul or Tokyo
$215k-$285k/yr OnsiteFull Time
Applied Intuition
Applied Intuition: Developing software and simulation infrastructure for autonomous vehicles.
ML performance engineering experience with distributed training, batch inference, GPU or accelerator optimization, Python, and C++ or another systems language; strong debugging and analytical skills required.
FSDP, DeepSpeed, Megatron, NCCL, NVIDIA Triton Inference Server, TensorRT, ONNX Runtime, Ray, Python, C++, CUDA, Triton, CUTLASS, Nsight Systems, Nsight Compute, PyTorch Profiler, perf, Kubernetes, Slurm, ROS, OpenCV
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Staff Engineer, Inference Optimizations
San Francisco, California, United States
$191k-$239k/yr RemoteFull Time
DigitalOcean
DigitalOceanNew York Stock Exchange: DOCN: Simplifies cloud infrastructure for developers, startups, and SMBs.
5+ YOE5+ years in high-performance computing or AI infrastructure, deep GPU and low-level optimization expertise, experience with CUDA/Triton/ROCm, distributed GPU parallelization, and system design for inference workloads.
CUDA, ROCm, TensorRT, OpenAI Triton, AITER, FlashAttention
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ML Inference Engineer
San Francisco, California, United States
OnsiteFull Time
Reactor
Reactor: Building infrastructure for real-time generative world models.
Strong expertise in ML engineering, PyTorch, CUDA, and high-performance inference; experience with diffusion models and low-latency systems.
PyTorch, TensorRT, TransformerEngine, Nsight, ONNX Runtime, CUDA
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Machine Leaning Performance Engineer (Inference)
New York City, New York, United States
$200k-$300k/yr HybridFull Time
Tower Research Capital
Tower Research Capital: Global quantitative trading firm developing automated algorithmic strategies.
2+ YOERequires 2+ years optimizing deep learning inference, PyTorch or JAX, Python/C++, mixed-precision computation, custom GPU kernels, optimization libraries, compilers, profiling tools, and GPU microarchitecture expertise.
PyTorch, JAX, Python, C++, Triton, TensorRT, ONNX, IREE, HLS4ML, cuBLAS, CUTLASS, Nsight Systems, Nsight Compute, FPGA, ASIC
1w
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Inference Systems Performance Architect
San Jose, California, United States
$245k-$325k/yr OnsiteFull Time
SambaNova Systems
SambaNova Systems: Develops custom AI hardware and software for enterprise computing.
12+ YOERequires 12+ years in performance engineering, distributed-systems analysis, workload generation, simulation, modeling, technical leadership, cross-functional influence, mentoring, and delivering complex ambiguous projects.
LLM, GPU, RDU, Headspace, Gympass+, One Medical, Employee Assistance Program (EAP)
5d
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NVIDIA GPU AI SME
Albany, New York, United States
$150k-$164k/yr RemoteFull Time
LTIMindtree
LTIMindtreeNational Stock Exchange of India: LTIM: Global technology consulting and digital solutions.
8+ YOERequires 8+ years in infrastructure or ML engineering, hands-on NVIDIA GPU operations, Kubernetes GPU workloads, model serving, GPU scheduling and partitioning, KEDA autoscaling, and inference performance optimization.
Amazon Web Services (AWS), Amazon Elastic Kubernetes Service (EKS), AWS CloudFormation, NVIDIA AI Enterprise (NVAIE), NVIDIA GPU Operator, CUDA, Data Center GPU Manager (DCGM), NIM, NVIDIA Dynamo, OpenAI-compatible API, RunAI, Kubernetes, KEDA, NVIDIA Triton Inference Server, TensorRT-LLM, vLLM, NVIDIA Multi-Instance GPU (MIG), Amazon Outposts
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GPU Kernel Engineer
San Francisco, California, United States
$180k-$280k/yr OnsiteFull Time
TypeSafe AI
TypeSafe AI: Building reliable, general frontier AI models for automation.
Deep CUDA/GPU kernel expertise, experience building and optimizing training and inference kernels, LLM training experience, profiling and eliminating performance bottlenecks.
CUDA, CuTe DSL
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Software Engineer, Inference Runtime
New York City, New York, United States
$150k-$350k/yr HybridFull Time
LM Studio
LM Studio: Desktop software for running large language models locally and privately.
Significant production ML, inference runtime, or performance infrastructure experience; strong Python and C++; transformer and inference expertise; CPU/GPU profiling; PyTorch and inference system experience.
Python, C++, PyTorch, llama.cpp, MLX, ExecuTorch, vLLM, SGLang, TensorRT-LLM, CUDA, Metal, Vulkan, ROCm
3mo
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Founding Engineer - ML Performance
San Francisco, California, United States
$250k-$395k/yr RemoteFull Time
uRun
uRun: Infrastructure cloud for interactive, stateful AI inference.
Hands-on CUDA, GPU optimization, and large-scale model inference experience; strong systems and performance engineering skills.
CUDA, GPU, NCCL, PyTorch, Triton, TensorRT, CUDA kernels
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Backend Inference Runtime Engineer Graduate (AML Inference) - 2027 Start
San Jose, California, United States
OnsiteFull Time
ByteDance
ByteDance: Developing AI-driven content platforms and mobile applications.
Bachelor's or master's degree in a technical discipline; proficient in C/C++, Python, CUDA, GPU architecture, deep learning operators, inference compilation, performance analysis, and distributed model inference.
C, C++, Python, CUDA, Nsight, Profiler, vLLM, TensorRT-LLM, SGLang
3mo
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Performance Engineer
Palo Alto, California, United States
OnsiteFull Time
RadixArk
RadixArk: Building scalable open-source infrastructure for AI training and inference.
Strong systems engineering in performance-critical software; GPU/distributed systems; profiling tools; Python and C++; CUDA/Triton/ROCm/XLA familiarity; LLM inference concepts; ability to debug across software, hardware, and infra layers; strong communication.
CUDA, Triton, Pallas, ROCm, XLA, Python, C++
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Sr. Inference Optimization Engineer (local / edge runtime)
Santa Clara or Hillsboro or Folsom or Phoenix
$195k-$361k/yr HybridFull Time
Intel
IntelNasdaq: INTC: Designs and manufactures microprocessors and semiconductor components.
8+ YOE8+ years software development; strong C++ and/or Python; experience with LLM inference, profiling and optimizing CPU/GPU performance; Linux and low-level debugging expertise.
C++, Python, llama.cpp, vLLM, ggml, Vulkan, SYCL, oneAPI, CUDA, Metal, SIMD, Linux, GGUF, AWQ, GPTQ
2mo
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ML Systems & Performance Engineer
San Francisco, California, United States
OnsiteFull Time
Engram
Engram: Developing persistent memory layers for enterprise AI systems.
5+ YOE5+ years building training/inference systems; strong engineering skills; experience with ML frameworks, GPUs, distributed systems; bachelor's degree or equivalent experience.
PyTorch, JAX, GPUs
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Member of Technical Staff, Inference
San Francisco, California, United States
OnsiteFull Time
Radical Numerics
Radical Numerics: Building general biological intelligence models for scientific discovery.
Deep expertise in large-model inference, GPU performance engineering, kernel development (CUDA/Triton), Python and PyTorch, distributed systems, and production model deployment.
CUDA, Triton, Python, PyTorch, vLLM, TensorRT-LLM, SGLang, DeepSpeed