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Tracking AI hiring across 200+ US tech companies. Stage, salary, and stack signals on every role — refreshed weekly.

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Currently tracking 440 active AI roles, down 53% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $100k–$575k (avg $262k).

Hiring
440 / 623
Momentum (4w)
↓-386 -53%
340 opens last 4w · 726 prior 4w
Salary range · avg $262k
$100k–$575k
USD · disclosed roles only
Tracked since
May '25
last role 4w ago
Hiring velocityscroll left for older weeks
1 new role
Dec 30
1 new role
Mar 10
1 new role
24
1 new role
Apr 28
4 new roles
May 12
5 new roles
19
3 new roles
26
3 new roles
Jun 2
2 new roles
9
1 new role
16
2 new roles
23
3 new roles
30
4 new roles
Jul 7
1 new role
14
2 new roles
28
4 new roles
Aug 11
6 new roles
18
2 new roles
25
3 new roles
Sep 1
8 new roles
15
3 new roles
22
6 new roles
29
2 new roles
Oct 6
2 new roles
13
3 new roles
20
6 new roles
27
9 new roles
Nov 3
8 new roles
10
8 new roles
17
4 new roles
24
11 new roles
Dec 1
9 new roles
8
14 new roles
15
10 new roles
22
8 new roles
29
107 new roles
Jan 5
22 new roles
12
45 new roles
19
32 new roles
26
59 new roles
Feb 2
64 new roles
9
63 new roles
16
83 new roles
23
83 new roles
Mar 2
88 new roles
9
97 new roles
16
72 new roles
23
215 new roles
30
158 new roles
Apr 6
250 new roles
13
199 new roles
20
332 new roles
27
304 new roles
May 4
189 new roles
11
131 new roles
18
102 new roles
25
129 new roles
Jun 1
122 new roles
8
49 new roles
15
40 new roles
22

NVIDIA currently has 496 active AI-related job listings. The majority of these roles, 52%, are focused on serving infrastructure, with agents representing another significant segment at 23%. Engineering is the dominant function, with 441 positions. The United States leads hiring geographies with 287 roles, followed by China with 64. Frequent tech tags include model_serving, inference_infra, and agent_orchestration, suggesting a focus on deployment and management of AI models. Over the last 30 days, NVIDIA posted 214 new AI roles, a 27% decrease compared to the previous 30-day period.

Auto-generated from active job postings · last refreshed 2026-05-24

Frequently asked questions

  • What AI roles is NVIDIA hiring for?

    NVIDIA currently has 487 active AI-related roles in our index. The most common open titles are: Deep Learning Performance Architect (4), Senior Deep Learning Performance Architect (4), AI Research Scientist (3), Developer Technology Engineer - AI (3), Manager, Deep Learning Algorithms (3). Most positions are in Engineering and Research.

  • What stage of AI development does NVIDIA focus on?

    NVIDIA's active AI hiring is concentrated in: serving infrastructure (54%), agents (21%), application (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.

  • Where is NVIDIA hiring AI talent?

    NVIDIA is hiring AI talent in: United States (286 roles), China (59 roles), Israel (50 roles), Germany (21 roles).

  • What technologies does NVIDIA's AI team work with?

    Job postings at NVIDIA most frequently reference: model serving, inference infra, agent orchestration, llm observability, multimodal.

  • How many AI roles has NVIDIA posted recently?

    In the past 30 days, NVIDIA has posted 110 new AI-related roles. That is a -50% change versus the prior 30 days (218 → 110).

Jobs (265)

434 AI · 1824 total active
FilteredStageServe×
Show
Active onlyAI only (≥ 7)
Stage
AllData · 23Pretrain · 20Post-train · 28Serve · 265Agent · 102Eval Gate · 8Ship · 41
Function
AllEngineering · 1674Research · 68Product · 10
Country
AllUnited States · 945Israel · 413India · 146China · 119Taiwan · 78Germany · 34Switzerland · 26United Kingdom · 25Vietnam · 25Canada · 19Poland · 19France · 10Italy · 7Netherlands · 7Singapore · 6South Korea · 5Spain · 4Ukraine · 4Hungary · 3Japan · 3Romania · 3Czech Republic · 2Denmark · 2Finland · 2Palestine · 2Sweden · 2Armenia · 1Brazil · 1
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Senior Software Engineer, Distributed Systems - NIM Factory
Senior Software Engineer to design and build factory infrastructure and automation for NVIDIA Inference Microservices (NIMs). The role focuses on optimizing and serving performant inferencing for AI models in heterogeneous environments, building an efficient, scalable, and reliable automation factory to produce validated NIMs.
ServeEngineeringSanta Clara, CA +3 · RemoteApr 155
Senior Deep Learning Test Development Engineer, SDET
Senior Deep Learning Test Development Engineer (SDET) at NVIDIA, focusing on validating the performance and robustness of Deep Learning software and GPU infrastructure across various AI applications like autonomous driving, healthcare, and NLP. The role involves test plan design, execution, automation, bug management, and leveraging AI-powered tools for efficiency.
ServeEngineeringShanghai, China
251–265 of 265← Prev123456Next →
Apr 14
5
Senior SWQA Test Development Engineer
Senior Software Quality Assurance (SQA) Test Development Engineer at NVIDIA, focusing on the quality of AI microservices and inference platforms. The role involves leading test strategy, building automation frameworks, and validating LLM inference workflows, with an emphasis on distributed systems and containerized AI environments.
ServeEngineeringSanta Clara, CAApr 105
Senior Developer Technology Engineer, Public Sector
Senior Developer Technology Engineer for the Public Sector team at NVIDIA. This role involves researching and developing techniques to GPU-accelerate leading applications in the federal ecosystem, including AI in HPC. The engineer will perform in-depth analysis and optimization for current and next-generation GPU architectures, collaborating with application developers and NVIDIA teams.
ServeEngineeringSanta Clara, CA +2 · RemoteApr 95
Networking Solution Test Engineer - AI IB and Ethernet Cluster Debugging
NVIDIA is seeking a Networking Solution Test Engineer to join their End-to-End Verification team. The role involves working on cutting-edge Ethernet-based AI clusters, debugging complex issues across hardware, system software, and AI workloads. Responsibilities include designing test requirements, building testbeds, owning end-to-end cluster troubleshooting, collaborating with development teams on networking components, defining tests for automation, running regression and performance tests, and profiling deep learning workloads.
ServeEngineeringShanghai, China +1Apr 75
Senior ASIC Design Verification Engineer - LPU
Senior ASIC Design Verification Engineer to verify the design and implementation of the world's leading inference accelerator. This role involves using advanced verification methodologies, collaborating with cross-functional teams, and potentially applying machine learning to the verification flow.
ServeEngineeringCA +1 · RemoteMar 125
Senior AI and HPC Observability Engineer
NVIDIA is seeking a Senior AI and HPC Observability Engineer to design and scale observability platforms and telemetry pipelines for AI/ML systems. The role involves building high-performance backend services, developing OpenTelemetry components, optimizing metrics pipelines, and ensuring platform reliability in distributed environments, with a focus on AI and HPC workloads.
ServeEngineeringSanta Clara, CA +1Mar 25
Senior Software Developer, AI Networking
Senior Software Developer role focused on developing a high-performance, low-level infrastructure for AI networking acceleration, specifically for inference. The role involves working with hardware offloads, GPU kernels, and RDMA, aiming to optimize the inference process on large-scale supercomputers and data centers.
ServeEngineeringPoland +3 · RemoteMar 25
Senior GPU Functional Modeling Architect
This role involves modeling GPU architecture and components, developing tools for simulation and analysis, and creating test infrastructure for new architectures. While the role mentions using AI for day-to-day tasks and proficiency in ML frameworks, its core focus is on the engineering and simulation of GPU hardware, not directly shipping AI models or agents.
ServeEngineeringSanta Clara, CA +1 · RemoteFeb 205
Senior GPU Supercomputer Scheduler Engineer
NVIDIA is seeking a Senior GPU Supercomputer Scheduler Engineer to design and implement scheduling features for GPU compute clusters that run demanding AI/ML and HPC workloads. The role involves developing batch workload management, improving resource usage, and performance analysis of deep learning workflows.
ServeEngineeringSanta Clara, CA +1Feb 205
Senior Software Advanced Development Engineer
NVIDIA Networking Advanced Development Software team is developing new networking and distributed computing technologies for AI factories and data centers. The role involves designing and implementing solutions across various layers, from application to firmware, utilizing NVIDIA's hardware. Experience with CUDA programming and LLM serving frameworks is a plus.
ServeEngineeringYokneam, IsraelFeb 115
Senior System Software Engineer, AI Data Platform
Senior Software Engineer role focused on building and optimizing foundational infrastructure for NVIDIA's AI and high-performance computing innovations. The role involves designing, building, and optimizing scalable automation systems for the performance, tuning, and deployment of core software offerings, impacting AI models and complex applications across various environments.
ServeEngineeringHanoi, Vietnam +1 · RemoteFeb 95
Senior Deep Learning Frameworks Sustaining Engineer
Senior Deep Learning Frameworks Sustaining Engineer at NVIDIA. Responsibilities include back-porting changes, managing open source dependencies, and fixing bugs for enterprise products like TensorFlow, PyTorch, and TensorRT. Focus on ensuring stable dependencies and addressing security vulnerabilities for NVIDIA AI Enterprise.
ServeEngineeringSanta Clara, CAJan 95
Senior Manager, Software Advanced Development
Senior Manager for Software Advanced Development at NVIDIA, focusing on networking and distributed computing technologies for AI factories and data centers. The role involves leading a team of engineers in designing and implementing solutions across various software layers, from high-level applications to firmware, utilizing NVIDIA's hardware. Collaboration with internal departments, partners, and customers is key.
ServeEngineeringYokneam, Israel +1Dec '255
Senior System Software Architect, AI Networking
NVIDIA is seeking a Senior System Software Architect to define the architecture for next-generation Spectrum-X, InfiniBand, and NVLink systems, focusing on high-performance AI networking. The role involves researching solutions, evaluating SW/HW impact, and collaborating with multi-functional teams across algorithms, software, firmware, and hardware.
ServeEngineeringYokneam, Israel +2Nov '255