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NVIDIA AI

NVIDIA AI

Empowering AI through advanced hardware and software solutions

📍 Santa Clara, CA, USA

64 Open Positions
6 Active Locations
Posted
Top Employer
NVIDIA AI logo Get Notified ↗

About NVIDIA AI

NVIDIA AI develops AI-focused hardware and software products, including advanced compilers and quantum computing libraries, from its headquarters in Santa Clara, California. The company’s work supports various applications in machine learning and artificial intelligence, leveraging its expertise in ASIC design and firmware development. Engineering disciplines at NVIDIA AI include ASIC design, firmware quality assurance, and compiler development. Engineers solve complex problems related to memory subsystems and physical design methodologies, contributing to cutting-edge AI technologies. With a dedicated team of over 20 professionals, NVIDIA AI is at the forefront of integrating AI capabilities into hardware.

Current Job Openings

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Company Info
Employees 11-50
Type Public
Stock NVDA
Glassdoor 4.2
Connect
Active Hiring Locations
📍 Santa Clara, United States 🇺🇸 27
📍 Bengaluru, India 🇮🇳 7
📍 North District, Taiwan 🇹🇼 6
📍 Shanghai, China 🇨🇳 5
📍 Tel Aviv-Yafo, Israel 🇮🇱 4
Top Roles
ASIC Design Engineer (24) Compiler Engineer (10) Firmware Engineer (10) Embedded Systems Engineer (9) Embedded Software Engineer (6)
Key Skills
Python C++ ASIC RTL Verilog SystemVerilog C LLVM
Seniority Levels
senior (33) mid-level (19) entry-level (9) principal (2) junior (1)
Work Arrangement
On-site (64)
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About NVIDIA AI

NVIDIA AI develops AI-focused hardware and software products, including advanced compilers and quantum computing libraries, from its headquarters in Santa Clara, California. The company’s work supports various applications in machine learning and artificial intelligence, leveraging its expertise in ASIC design and firmware development. Engineering disciplines at NVIDIA AI include ASIC design, firmware quality assurance, and compiler development. Engineers solve complex problems related to memory subsystems and physical design methodologies, contributing to cutting-edge AI technologies. With a dedicated team of over 20 professionals, NVIDIA AI is at the forefront of integrating AI capabilities into hardware.

NVIDIA AI Career Opportunities

NVIDIA AI currently has 64 active embedded systems positions spanning 6 countries. All positions are on-site, typical for hardware-focused roles requiring lab access and equipment. Recognized as a top-tier employer (85.0/100), NVIDIA AI offers competitive compensation and strong career development paths in embedded engineering.

NVIDIA AI Hiring Trends

* Data represents job posting activity over the past 6 months: Feb 2026 through Jul 2026

NVIDIA AI's hiring pace has moderated recently (51 openings this month vs 57 last month), which is common after major hiring pushes or as projects move from development to deployment phases.

Over the past 6 months, NVIDIA AI averaged 35.0 job postings per month, with peak hiring in May 2026 (82 openings). For embedded systems roles, hiring activity typically correlates with product development cycles, especially for firmware teams during pre-production phases and hardware engineers during prototyping.

Current Month
51 jobs

📉 -11% change

6-Month Average
35.0 jobs/month

Consistent hiring velocity

Peak Activity
82 jobs

May 2026

Required Skills at NVIDIA AI

Python is the most in-demand skill at NVIDIA AI, appearing in 43% of all job listings (past and present). This skill is important but not universal, indicating diverse technical needs across different product lines or teams.

NVIDIA AI's technology stack spans 220 distinct skills and tools, reflecting the multifaceted nature of embedded systems development. The broad technical diversity (220 technologies) suggests work on complex, multi-domain projects requiring both hardware and software expertise.

Python
43% of roles
43%
C++
36% of roles
36%
ASIC
24% of roles
24%
RTL
17% of roles
17%
Verilog
15% of roles
15%
SystemVerilog
15% of roles
15%
C
14% of roles
14%
LLVM
14% of roles
14%
CUDA
13% of roles
13%
Linux
13% of roles
13%
Firmware
11% of roles
11%
firmware
11% of roles
11%

Engineers joining NVIDIA AI should combine depth in key areas with adaptability. The mix of hardware skills (PCB design, schematics) and firmware expertise (RTOS, embedded C) indicates full-stack embedded development where engineers work across the hardware-software boundary. Candidates with adjacent skills (version control, testing frameworks, communication protocols) typically advance faster by contributing across the development lifecycle.

Engineering Roles at NVIDIA AI

NVIDIA AI's primary hiring focus is ASIC Design Engineer with 24 open positions. High-volume recruitment for a single role type typically indicates either a growing team building similar capabilities or a newly formed department scaling rapidly.

Multiple openings in the same discipline create advantages for new hires: stronger peer support networks, established onboarding processes, and clearer career progression paths as the team matures. Engineers often find collaborative environments more conducive to professional growth.

ASIC Design Engineer
24 positions (38%)
24
Compiler Engineer
10 positions (16%)
10
Firmware Engineer
10 positions (16%)
10
Embedded Systems Engineer
9 positions (14%)
9
Embedded Software Engineer
6 positions (9%)
6
SOC Design Engineer
1 position (2%)
1
Electrical Engineer
1 position (2%)
1
PCB Design Engineer
1 position (2%)
1
Embedded Linux Engineer
1 position (2%)
1

Experience level distribution: 52% of openings target senior-level engineers. The range across 5 experience levels suggests a well-balanced team structure with opportunities for both experienced engineers and those earlier in their careers.

Where NVIDIA AI is Hiring

NVIDIA AI operates across 10 countries with 27 total hiring locations. Multi-geography recruitment typically indicates either distributed engineering teams, expansion into new markets, or proximity to manufacturing and customer operations.

Santa Clara, United States serves as a primary hiring hub with 40% of all roles (85 positions). The significant presence in Santa Clara indicates a major engineering hub, though other locations also play important roles in product development.

🇺🇸
Santa Clara, United States
27 active jobs
27
🇮🇳
Bengaluru, India
7 active jobs
7
🇹🇼
North District, Taiwan
6 active jobs
6
🇨🇳
Shanghai, China
5 active jobs
5
🇮🇱
Tel Aviv-Yafo, Israel
4 active jobs
4
🇺🇸
Redmond, United States
3 active jobs
3
🇮🇳
Greater Hyderabad Area, India
3 active jobs
3
🇮🇳
Pune City, India
2 active jobs
2
🇺🇸
Austin, United States
2 active jobs
2
🇨🇭
Zurich, Switzerland
1 active job
1
🇮🇳
Pune, India
1 active job
1
🇹🇼
Hsinchu City, Taiwan
1 active job
1
🇹🇼
Taipei, Taiwan
1 active job
1
🇺🇸
Durham, United States
1 active job
1

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